Gartner Business Intelligence & Analytics Summit 2014

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Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 1

Gartner Business

Intelligence & Analytics

Summit 2014

EARLY-BIRD

DISCOUNT

Register by January 31

and save $300

March 31 – April 2 | Las Vegas, NV | www.gartnerevent.com/us/bibr

KEY BENEFITS

• Understand emerging technologies in big data

and advanced analytics

• Determine the role of data warehousing in your

analytics strategy

• Decide how to incorporate new roles such as

the data scientist and chief data officer

• Create a game plan for more agility

and self-service

The Future of Your Business: Transparent,

Decisive, Personalized

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North America’s

most important

annual gathering

of the BI and

analytics

community

Create a BI and

analytics strategy that

positively impacts your

business model

Improve your ROI with new big data and

analytics technologies

Whether you’re launching your first business intelligence and analytics initiative or leading the next phase of an existing program, Gartner Business Intelligence & Analytics Summit 2014, March 31 – April 2, in Las Vegas, NV, enables you to validate your BI and analytics strategy and approach, exchange best practices with peers, benchmark where you are against your competitors, and generate new ideas to improve your organization’s ROI. You’ll benefit from a unique learning experience filled with actionable presentations, real-world case studies, one-on-one analyst engagements, and access to leading BI and analytics solution providers.

• Big data and advanced analytics technologies, including Hadoop, NoSQL and Watson

• Predictive analytics and the role of the data scientist

• Leveraging the full economic value of your organization’s data

• Sensor technology — ranging from manufacturing to personal analytics

• The ethical limitations of BI and analytics: When does your company know too much about its customers or constituents?

• Modern trends in BI, such as discovery, mobile, cloud, visualization and self-service

Explore the leading edge of where

new analytic capabilities are taking

your business

In-depth, analyst-driven content will provide you with firsthand insight into the whole spectrum of analytics to help you:

• Better align with and track against your corporate strategy and objectives

• Improve your relationships between your business and IT organizations

• Move your users toward a self-service model of information delivery

• Justify BI, analytics and program management investments

Discover what’s new for 2014

• Delve into BI and analytics innovation. You’ll get a fresh look at emerging trends like cognitive computing, quantified self and infonomics, the discipline of valuating your data.

• Experience more how-to insights. Hear directly from industry trailblazers in our new Practitioner’s Corner track, which profiles analytics success stories and provides you with practical, actionable advice.

• Find content specific to your role. Attend six new forums by industry and role for healthcare professionals, finance professionals, marketing and customer-facing

professionals, data scientists, business leaders and insurance professionals.

• Share new ideas with your peers. You’ll have more opportunities to network with your peers at our networking breakfasts, receptions, Super Roundtable sessions and more.

4 Meet the analysts 5 Keynotes 6 Agenda tracks 7 Summit features 8 Agenda at a Glance 10 Solution Showcase 11 Registration and pricing

Keynotes

Guest keynotes

Ray Kurzweil is one of the world’s leading inventors, thinkers and futurists, with a 30-year track record of accurate predictions. Kurzweil was selected as one of the top entrepreneurs by Inc. magazine, and PBS selected him as one of the “16 revolutionaries who made America.”

Author, keynote speaker and former Merrill Lynch stockbroker, Mark Jeffries has become a trusted advisor and

communications consultant to some of the world’s largest and most successful corporations, agencies and partnerships. Jeffries has published two books: “What’s Up With Your Handshake?” and “The Art of Business Seduction.”

Gartner keynotes

Gartner Opening Keynote: The Future of Your Business — Transparent, Decisive, Personalized

Transparent organizations have strengthened business

relationships and created new revenue opportunities by making information available to customers, partners and suppliers. Advances in cognitive computing and predictive analytics have made information systems more decisive, enabling businesses to optimize millions of daily decisions. And the next phase is upon us, where personal analytics start to challenge existing business models by collecting precise data using social media monitoring and real-time sensors to personalize every customer experience. But as capabilities are stretched, how far is too far?

The Gartner Magic Quadrant Panel: BI and Analytics Platforms, BI and Analytics Service Providers, DBMS for Data Warehouse, Advanced Analytics

Gartner Magic Quadrants are a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. This is your chance to hear Gartner analysts at their best — unbiased, unscripted and unfiltered. It is also your chance to ask the questions that will help you with your investments.

Closing Keynote: Monetize Your Information

TBA Ray Kurzweil

Inventor, Entrepreneur, Author, Futurist, and Director of Engineering, Google

Ian A. Bertram

Managing Vice President

Mark A. Beyer

Vice President and Distinguished Analyst Frank Buytendijk Vice President Lisa Kart Director Rita L. Sallam Vice President Kurt Schlegel Vice President Alex Soejarto Vice President

Meet the analysts

Merv Adrian

Vice President

Tom Austin

Vice President and Gartner Fellow

Ian A. Bertram

Managing Vice President

Mark A. Beyer

Vice President and Distinguished Analyst Frank Buytendijk Vice President Neil Chandler Director Jeff Cribbs

Principal Research Analyst

Roxane Edjlali

Director

Ted Friedman

Vice President and Distinguished Analyst

Kimberly Harris-Ferrante

Vice President and Distinguished Analyst

Gareth Herschel

Director

Bill Hostmann

Vice President and Distinguished Analyst Carlie J. Idoine Director Christopher Iervolino Director Lisa Kart Director Douglas Laney Vice President Alexander Linden Director Avivah Litan Vice President and Distinguished Analyst Debra Logan

Vice President and Gartner Fellow Josh Parenteau Director Jamie Popkin Managing Vice President Carol Rozwell

Vice President and Distinguished Analyst Rita L. Sallam Vice President Kurt Schlegel Vice President W. Roy Schulte

Vice President and Distinguished Analyst Vi Shaffer Vice President Svetlana Sicular Director Michael Smith

Vice President and Distinguished Analyst Alex Soejarto Vice President Jenny Sussin Principal Research Analyst Joao Tapadinhas Director

John E. Van Decker

Vice President Dan Sommer Principal Research Analyst Nick Heudecker Director Mark Jeffries

Advisor and Communications Consultant

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Summit features

Gain knowledge, share

experiences, network with your

peers and meet with solution

providers to improve your business

Preconference tutorials

Join us Sunday for our complimentary preconference sessions to get up to speed and gain an overall perspective on BI terms and definitions.

Track sessions

Leveraging the latest Gartner BI and analytics research, these sessions focus on providing real-world information so you can make better decisions and drive results.

Hands-on workshops

These small-group workshops immerse you in real-world problem solving, with practical take-aways.

(Preregistration is required.)

End-user case studies

Hear directly from user practitioners who share the lessons learned and the successes and challenges of BI and analytics initiatives.

Solution Showcase

Meet with today’s leading and emerging BI and analytics solution providers, all under one roof, and get the latest information and demonstrations on new products and services.

Solution provider sessions

Get an inside view of current marketplace offerings from the solution providers that develop them and clients who deploy them.

These topic-driven end-user forums are moderated by Gartner analysts. Learn what your peers are doing around particular issues and across industries. (Preregistration is required.) Private 30-minute

consultations with a Gartner analyst provide targeted, personalized advice to help you plan proactively and invest wisely. (Preregistration is required.)

Analyst-user

roundtables

Analyst

one-on-ones

Experience dedicated sessions that tackle today’s most current issues and challenges for healthcare professionals, finance professionals, marketing and customer-facing professionals, data scientists, business leaders and insurance professionals.

Professional and

industry forums

Gain the necessary strategies to address the full spectrum of BI, analytics, and MDM challenges that you can share with your team. Gartner Business Intelligence & Analytics Summit is back-to-back with Gartner Enterprise Information & Master Data Management Summit, March 31 – April 4, 2014, in Las Vegas, NV. Save $1,105 when you stay the full week.

One week. Two strategic summits.

Agenda tracks

A

Strategy and Leadership

This track explores effective new governance mechanisms, organizational models and competency centers, new skills every analytics program leader should have, emerging roles and career paths, and strategies for becoming a more effective BI and analytics leader.

Governance Organization models BICC

Leadership skills

Professional development

B

The Business Case for Analytics

This track examines cutting-edge business cases in analytics to see how they create business value, explores the latest trends in performance management and explains how to determine the value of information and analytics.

Business value Performance metrics Infonomics

C

Big Data

In this track, we explore and highlight successful adoptions of new technologies such as in-memory computing, NoSQL databases, Hadoop, interactive visualization, social media monitoring, natural-language processing and complex-event processing.

In-memory computing NoSQL databases Hadoop

Quantified self

Social media monitoring

D

Advanced Analytics

This track explores how to decide which new technologies your organization needs to get ahead and how to successfully implement them, from cognitive computing engines such as Watson, to mobile and social analytics and advanced visualization. Smart machines Crowdsourcing Predictive and prescriptive analytics Real-time analytics

E

Jump-Start Your Analytics Initiative

In this track, we look at best practices other organizations have adopted with positive results. We also explore how some companies are using new self-service and data discovery techniques to reinvigorate their BI and analytics initiatives.

Self-service BI Data discovery Cloud BI Interactive visualization Agile BI

F

Practitioner’s Corner

Come hear what some of the leading BI practitioners are doing in their own organizations to deliver true business impact through the use of information in their decision-making process. This track presents some of the best and most innovative case studies in the field of BI and analytics today.

Industry examples

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8 Gartner Business Intelligence & Analytics Summit 2014 Visit www.gartnerevent.com/us/bibr for agenda updates and to register! 9

Agenda at a Glance

Monday MARCH 31 Tuesday APRIL 1 W ednesday APRIL 2 2:00 p.m. Registration

3:00 p.m.T1. The Fundamentals of a BI and Analytics Platform Josh Parenteau T2. Understanding the Analytics Spectrum Lisa Kart W1. The Analytics of Collaborative Healthcare

Models Jeff Cribbs

4:15 p.m.T3. Fundamentals of Corporate Performance Management Christopher Iervolino, John E. Van Decker T4. Data Science Tutorial Alexander Linden W2. Gauging and Improving Your Information

Maturity Douglas Laney

5:30 p.m. Welcome Reception

TRACK A

Strategy and Leadership

TRACK B

The Business Case for Analytics

TRACK C

Big Data

TRACK D

Advanced Analytics

TRACK E

Jump-Start Your Analytics Initiative

TRACK F

Practitioner’s Corner

7:00 a.m. Registration General Breakfast by Industry and Role

7:00 a.m. INB1. Industry Networking Breakfast for Analytic Professionals in the Healthcare Provider Industry INB2. Industry Breakfast: Financial Professionals — Office of the CFO Christopher Iervolino, Michael Smith, John E. Van Decker

8:15 a.m.K1a. Gartner Opening Keynote The Future of Your Business: Transparent, Decisive, Personalized Frank Buytendijk, Rita L. Sallam, Kurt Schlegel

9:00 a.m.K1b. Welcome Remarks Kurt Schlegel

9:45 a.m.A1. Does Your Company Need a Chief Data Officer, Chief

Digital Officer or Both? Debra Logan B1. of Analytics Cause and Effect: Determine the Value Michael Smith C1. Merv AdrianBig Data and the Analytic Art of the Possible Business, Economic and Social Impacts D1. The Rise of the Smart Machines: Their Technical, Tom Austin E1. Business Analytics The Top 5 Wrong Assumptions About Carlie J. Idoine F1. Case Study

Vi Shaffer, Jeff Cribbs

10:45 a.m. Solution Provider Sessions

11:45 a.m. Attendee Lunch and Solution Showcase Dessert Reception

2:00 p.m.A2. Engaging Your CFO in Business Analytics

Christopher Iervolino, John E. Van Decker B2. Gareth HerschelCustomer Service Metrics: What, Why and How C2. Stop? Continue? What About the Data Warehouse? Start? Mark A. Beyer, Roxane Edjlali D2. Language Question Answering in Your Enterprise Google, Apple Siri, and IBM Watson — Natural

Jamie Popkin

E2. The Disruptive Impact of Data Discovery

Dan Sommer, Joao Tapadinhas

F2. Case Study Merv Adrian

2:00 p.m.W3. Building a Metrics Framework Michael Smith

3:00 p.m. Solution Provider Sessions

4:30 p.m.K2. The Gartner Magic Quadrant Panel: BI and Analytics Platforms, BI and Analytics Service Providers, DBMS for Data Warehouse, Advanced Analytics Ian A. Bertram,Mark A. Beyer, Lisa Kart, Rita L. Sallam, Alex Soejarto

5:30 p.m. Solution Showcase Reception and Theater Presentations

7:00 a.m. Registration Networking Breakfast INB3. Industry Breakfast: Healthcare Professionals Networking Breakfast Jeff Cribbs, Josh Parenteau, Vi Shaffer INB4. Industry Breakfast: Insurance Professionals Networking Breakfast Kimberly Harris-Ferrante, Carlie J. Idoine

8:00 a.m.K3. Guest Keynote The Art of Business Influence Mark Jeffries , Advisor and Communications Consultant

9:30 a.m.A3. Maverick Research: Ethics of Analytics

Frank Buytendijk B3. the Insurance Industry Harnessing the Power of Big Data and Analytics in Kimberly Harris-Ferrante C3. Customer Experience Social Media Analytics’ Role in Differentiating the Jenny Sussin D3. Dan SommerBusiness Analytics 2020 Market Trends E3. Mark A. BeyerAgile BI Is Not the Same as Agile Development F3. Case Study Tom Austin

9:30 a.m.W4. Linking Operational and Financial Planning Throughout the Enterprise Christopher Iervolino, John E. Van Decker

10:30 a.m. Solution Provider Sessions

1:45 p.m.A4. To the Point: Clever Ways to Grow

Analytics Skills Carol Rozwell B4. Big Data Analytics Enables To the Point: How to Explain to the Business What Svetlana Sicular Should Not Ignore C4. To the Point: In-Memory Analytics — A Trend You Roxane Edjlali D4. Analytics To the Point: All Roads Lead to Prescriptive Lisa Kart E4. Cloud — BI Heaven or Too Good to Be True? To the Point: Business Analytics in the

Joao Tapadinhas

F4. To the Point: New Approaches to Provisioning

Data for BI and Analytics via Data Federation/Data

Virtualization Ted Friedman

1:45 p.m.W5. How to Craft an Analytics Strategy Ian A. Bertram Super Roundtable Sessions

2:30 p.m.A5. To the Point: Finding Success With Your

Consultant Alex Soejarto

B5. To the Point: Using Analytics to Turn Information Into

Insight Carol Rozwell, Jenny Sussin

C5. To the Point: Where Are You on the Big Data

Maturity Road Map? Svetlana Sicular

D5. To the Point: Ten Best and Worst Practices for

Real-Time Analytics W. Roy Schulte

E5. To the Point: Open Sesame! Opening Up Your

Linked Data to the World Douglas Laney

F5. To the Point: Five Information Governance

Best Practices for Increasing the Value of BI and

Analytics Ted Friedman

3:15 p.m. Solution Provider Sessions

4:30 p.m.A6. Information and Analysis: The Music of Business

Performance Bill Hostmann

B6. Finding Business Opportunity When the Sky Is

Falling: The Analytics of U.S. Healthcare Reform

Vi Shaffer

C6. Quantified Self and the Rise of Personal Analytics

Gareth Herschel

D6. The Seven Dimensions of Context-Aware

Security Analytics Avivah Litan

E6. Data Quality Assurance in the Age of Big Data:

Why and How Ted Friedman

F6. Case Study Nick Heudecker

5:30 p.m. Hospitality Suites

7:00 a.m. Registration Networking Breakfast INB5. Industry Breakfast: Marketing Professionals — Office of the CMO Gareth Herschel, Carol Rozwell, Jenny Sussin INB6. Industry Breakfast: Data Scientists Networking Breakfast Lisa Kart, Douglas Laney, Alexander Linden

8:00 a.m.A7. Engaging Your CMO in Business Analytics

Gareth Herschel

B7. Last Call for Datatopia Frank Buytendijk C7. Hadoop: An Introduction Nick Heudecker D7. Key Trends and Emerging Technologies in Advanced

Analytics Alexander Linden

E7. Interactive Visualization: Seeing Is Believing

Rita L. Sallam

F7. Case Study Lisa Kart

8:00 a.m.W6. The Super Skills of the Socially Centered Leader Debra Logan, Carol Rozwell

9:00 a.m. Solution Provider Sessions 9:45 a.m. Solution Provider Sessions

10:45 a.m.K4. Guest Keynote Ray Kurzweil, Inventor, Entrepreneur, Author, Futurist, and Director of Engineering, Google

1:15 p.m.A8. BICC 2.0 or the Analytics Center of Excellence

Neil Chandler B8. Infocentric Organization Applied Infonomics: How and Why to Become an Douglas Laney C8. Business Transformation Industrial Analytics: The Next Wave of Rita L. Sallam D8. Business Operations Applying Real-Time Analytics Within W. Roy Schulte E8. Serving Up Self-Service Carlie J. Idoine

1:15 p.m.W7. Keeping Bad Guys Out of Your Accounts Using Five Layers of Fraud Prevention Avivah Litan

2:15 p.m.A9. To the Point: Marketing Your BI and

Analytics Program Neil Chandler C9. Analytics To the Point: Who’s Who in Social Media Carol Rozwell, Jenny Sussin D9. Polarity, Turn Insight Into Action! To the Point: Sentiment Analysis — Move Past Jamie Popkin E9. Quadrant Research To the Point: How to Get the Most Out of Magic Josh Parenteau

3:00 p.m.A10. To the Point: Surviving 90% Unemployment as

Technology Replaces Jobs and Impacts Business, IT,

People and Society Dan Sommer

C10. To the Point: Big Data Strategy Essentials

Douglas Laney D10. Connected Minds To the Point: Crowd Sorcery — The Power of Svetlana Sicular E10. Joao TapadinhasTo the Point: How Mobile BI Drives Adoption

3:45 p.m.K5. Gartner Closing Keynote Using Analytics to Transform Your Business Model Moderator: Kurt Schlegel; Kelly Shen, CIO, GE Capital

4:30 p.m. Conference Adjourns

Sunday MARCH 30

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Session descriptions

KEYNOTES

K1a. Gartner Opening Keynote: The Future of Your Business — Transparent, Decisive, Personalized

The impact of analytics on business, society and our own personal lifestyles has been greater than anyone could have imagined. Transparent organizations have strengthened business relationships and created new revenue opportunities by making information available to customers, partners and suppliers. Advances in cognitive computing and predictive analytics have made

information systems more decisive, enabling businesses to optimize millions of daily decisions. And the next phase is upon us, where personal analytics start to challenge existing business models by collecting precise data using social media monitoring and real-time sensors to personalize every customer experience. But as capabilities are stretched, how far is too far? When are targeted offers too personal? When do we need more human involvement in the algorithms making our decisions? How will you seize the opportunity, while mitigating the risks?

Frank Buytendijk, Rita L. Sallam, Kurt Schlegel

K1b. Gartner Keynote: Welcome Remarks

TBA

Kurt Schlegel

K2. Gartner Keynote: The Gartner Magic Quadrant Panel — BI and Analytics Platforms, BI and Analytics Service Providers, DBMS for Data Warehouse, Advanced Analytics

The markets for BI platforms, advanced analytics, DBMS for data warehousing, and BI and analytics service providers are highly dynamic with significant complexity for buyers. Gartner Magic Quadrants are a culmination of research in a specific market, giving you a wide-angle view of the relative positions of the market’s competitors. This is your chance to hear Gartner analysts at their best — unbiased, unscripted and unfiltered. It is also your chance to ask the questions that will help you with your investments.

Ian A. Bertram, Mark A. Beyer, Gareth Herschel,

Rita L. Sallam, AlexSoejarto

K3. Guest Keynote: The Art of Business Influence

Mark Jeffries presents a practical toolbox of innovative communication, networking and influence tools designed to give you a smart, proven, communication-based approach to the challenges you face every day — with your project sponsors, colleagues and within your teams. From networking to negotiation, from the power of words to the behaviors of the “trusted advisor,” Mark presents a practical and entertaining session filled with valuable take-aways.

Mark Jeffries, Advisor and

CommunicationsConsultant

K4. Guest Keynote

TBA

Ray Kurzweil, Inventor, Entrepreneur, Author, Futurist, and Director of Engineering, Google

K5. Gartner Closing Keynote: Monetize Your Information

TBA

KurtSchlegel

TRACK A

Strategy and Leadership

A1. Does Your Company Need a Chief Data Officer, Chief Digital Officer or Both?

Information is the competitive differentiator for modern businesses, but this vital resource remains largely unexploited — and even unmanaged — in most companies. New roles relating to the management of information are proliferating and new kinds of information leaders are emerging. Does your company need a chief data officer or a chief digital officer, or both?

• What is the evidence that information is finally becoming a board-level priority? • What do chief data officers and chief

digital officers do, and what companies have them now?

• How can a new chief data officer and chief digital officer be successful?

Debra Logan

A2. Engaging Your CFO in Business Analytics

The CFO is an IT decision maker. The latest Gartner Financial Executives International (FEI) CFO Technology Study shows how the CFO is favoring business analytics investments to improve enterprise performance. This session discusses how to educate and engage the CFO in

these projects.

• How is the influence of CFOs changing? • What are CFOs telling us about business

analytics and corporate performance management (CPM) in the Gartner FEI study?

• How do you allow your CFO to become more strategic?

Christopher Iervolino, John E. Van Decker

A3. Maverick Research: Ethics of Analytics

Welcome to the most dangerous presentation at the summit. We discuss “good” and “bad,” asking you to take a position. It’s fun, engaging and practical, with examples and tools to prevent public embarrassment. Are you ready? Disclaimer: No business users or IT professionals were harmed during the making of

this presentation.

• Why are ethics relevant — no, crucial — in IT?

• How can you organize a structured debate about ethics?

• Where do you stand on ethics?

Frank Buytendijk

A4. To the Point: Clever Ways to Grow Analytics Skills

Clients report that their preferred approach to get the analytics skills they need for dealing with big data is to grow them organically. Does this make sense? Is it even possible? This presentation examines the new analytics skills organizations need and the efficacy of an organic

development approach.

• What are the critical skills we need? • How can we grow these skills? • What can we do to plan for

increasing demand?

Carol Rozwell

A5. To the Point: Finding Success With Your Consultant

Consulting providers are often part of business analytics projects because of the need for a broad set of skills. Using best practices of sourcing and governance leads to successful execution of

outsourced projects.

• What are Gartner best practices for sourcing services?

• How should governance impact consulting relationships?

Alex Soejarto

A6. Information and Analysis: The Music of Business Performance

There are many parallels between the skillful analysis of information and the skillful performance of music. Both require high degrees of skill, organization/orchestration and collaboration. And like music, there are many types of analytic styles, each requiring different skills. Many practical leadership lessons and insights can be gained from examining and comparing the best practices (and flaws) in music performance and the analysis of information.

• Why are musical concepts like melody, rhythm and harmony important concepts for leaders of BI and analytics initiatives? • Why is context important to both music

and analytics?

• How can you develop and orchestrate multiple styles of analytical skills and performances?

Bill Hostmann

A7. Engaging Your CMO in Business Analytics

Marketing can be one of the largest consumers of analytics in the organization, but often has the tendency to either ignore the value of analysis (“marketing is an art”) or to engage in its own, separate analytic initiatives. This session explains the best practices in customer analysis.

• What are the most important types of analysis for the marketing organization? • How should marketing organizations

get the most value from their analytic investments?

• What is the role of analytics in the key trends in customer relationships and experiences?

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A8. BICC 2.0 or the Analytics Center of Excellence

The scope and impact of business analytics has grown significantly to encompass more people, data and use cases. New

competencies are needed to support, enable and extend the reach of analytics. Hear how the Analytics Center of Excellence (ACE) has emerged to accommodate these changes. • Do I need an ACE?

• What competencies does my ACE require? • Where should my ACE be located for

maximum benefit?

Neil Chandler

A9. To the Point: Marketing Your BI and Analytics Program

BI and analytics aren’t like other areas of tech. They demand a higher degree of communications skill in order to evangelize the benefits, educate users and gain and retain adoption. However, many core BI teams lack the skills or experience in communications planning and marketing to do so. This session explains what you need. • Why does BI need marketing?

• What are the elements of a communications plan?

Neil Chandler

A10. To the Point: Surviving 90% Unemployment as Technology

Replaces Jobs and Impacts Business, IT, People and Society

In this maverick session, CIOs learn why a “black swan” scenario of a rapid and persistent rise in unemployment may have a drastic impact on their mission and what they should be doing to prepare for it. • What are smart machines and how will

they change the workplace? • What type of job roles will be

most vulnerable?

• What are the long-term societal impacts of mass unemployment?

Dan Sommer

TRACK B

The Business Case for Analytics

B1. Cause and Effect: Determine the Value of Analytics

Your blueprint for information advantage must include gaining the capabilities necessary to move from descriptive and diagnostic to predictive and prescriptive information. Principal among these capabilities is knowledge of cause and effect. This session describes how leading companies are using this knowledge to drive BI resources and capabilities.

• What is cause and effect in the context of BI?

• How do leading companies acquire knowledge of cause and effect? • How does this knowledge drive BI

resources and capabilities?

Michael Smith

B2. Customer Service Metrics: What, Why and How

A recent Gartner survey indicated that one of the biggest areas of uncertainty for many organizations is how to measure customer service delivery. This session discusses how to use metrics to drive better customer experiences, as well as the risks that poor use of metrics can have on customer service interactions.

• What are the key customer service metrics organizations should be tracking and why? • What are best practices for collecting and

using customer service metrics?

Gareth Herschel

B3. Harnessing the Power of

Big Data and Analytics in the Insurance Industry

P&C and life insurers are in an era where having real-time analytics is a competitive advantage. However, many companies still are unclear of the opportunities that big data and analytics can offer them. This

presentation reviews the best use cases for data mastery in insurance and presents attendees with steps to effectively use data to improve business performance.

• What are the opportunities for big data and analytics within the

insurance industry?

• How are industry leaders leveraging these trends for competitive advantage? • What are the main requirements for data

success in the next three years within the insurance industry?

B4. To the Point: How to Explain to the Business What Big Data Analytics Enables

Great opportunity can be seized by using big data analytics and the big ideas that come along with it. Analytics professionals must guide the business into thinking broadly about key big data concepts, so that businesspeople will understand how big data impacts their enterprise, industry or sector, and how to develop a strategy to capitalize on these new opportunities.

• How can organizations seize the business opportunities that come from the

interconnectedness and scale of big data sources?

• What are the Internet of People, the Internet of Things, the Internet of Data and the Internet of Ideas?

• What are the action items to enable big data analytics?

Svetlana Sicular

B5. To the Point: Using Analytics to Turn Information Into Insight

Analytics offers new insight, but with each opportunity comes a potential downside. In this To the Point session, we examine four examples of where analytics adds value and how to use analytic tools successfully. • What new insight do analytics tools offer? • What do you need to know about using

analytics tools successfully?

Carol Rozwell, Jenny Sussin

B6. Finding Business Opportunity When the Sky Is Falling: The Analytics of U.S. Healthcare Reform

The $1.7 trillion U.S. healthcare market is undergoing its most fundamental change in at least 50 years. Analytics is playing a key role in that transformation, and will be a key differentiator between those that thrive and those that fade in obsolescence. Every industry can learn from the key strategic and tactical best practices that have emerged in healthcare analytics.

• What did the passage of healthcare reform mean for healthcare analytics?

• What are some key areas of opportunity where healthcare organizations have capitalized on analytics?

• What can other industries learn about capitalizing on analytics in a

turbulent market?

Vi Shaffer

B7. Last Call for Datatopia

Strategy is dead. The world is unpredictable and plans are outdated before they are implemented. Scenario planning should be rediscovered as a major strategic capability. We asked a very imaginative group of people — including you! — how they envision the (distant) future of information innovation. Fun, imaginative, and perhaps a bit controversial.

• What is scenario planning and why is it important?

• Which “datatopia” scenarios can we imagine, and how do they play out? • What do we need to do now to arrive

at our preferred scenario?

Frank Buytendijk

B8. Applied Infonomics:

How and Why to Become an Infocentric Organization

Leading organizations are making strides to embrace information’s role as a real, income-generating asset, not just a resource or business byproduct. Attitudinal,

behavioral, managerial, financial and technical adjustments are needed to become truly infocentric.

• What evidence is there of information’s role as a key business asset?

• How can you measure and improve information’s realized value? • How can you overcome barriers to

information asset management?

Douglas Laney

TRACK C

Big Data

C1. Big Data and the Analytic Art of the Possible

Cutting through big data hype to realize business value continues to be a significant challenge that is defined by and realized through analytics. The right data foundation

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in the era of Hadoop extensions to existing data strategies is critical. Understanding what today’s big data technologies can offer — and what they can’t — is essential. • Is big data just hype? Just how mature are

the new technologies?

• What are the key elements of a functional stack for big data, and

where can they be found? • Which tools offer competitive BI

functionality against big data, and where can they be best applied?

Merv Adrian

C2. What About the Data Warehouse? Start? Stop? Continue?

With big data changing the landscape, organizations building their information infrastructure to support their analytical needs are asking the question: “What about the data warehouse?” It is becoming increasingly important to understand exactly what the new landscape looks like — if it is changing, then how fast?

• How do I focus on the business demands for data warehouse evolution?

• Is big data the end of the data warehouse?

• What architectural options do I have?

Mark A. Beyer, Roxane Edjlali

C3. Social Media Analytics’ Role in Differentiating the Customer Experience

In an era where the customer is king and their expectation is immediate fulfillment,

social media analytics are critical in gaining the market, demographic and individual insights needed to craft superior customer experiences. In this session, we review the role of your people, processes and technologies in using social media analytics to differentiate your customers’ experience. • What are the use cases of social media

analytics that impact a customer’s experience?

• How do we develop our people and our processes to support the use of social media analytics to create a differentiated customer experience?

• What should we look for in technologies to help us support our social media analytics and customer experience initiative?

Jenny Sussin

C4. To the Point: In-Memory Analytics: A Trend You Should Not Ignore

In-memory databases are changing the data management landscape and affecting the way you should think about analytics and information infrastructure.

• What are the business drivers for in-memory computing?

• Will combining transactional processing and analytics transform your

business intelligence?

• Who are the vendors and what is the maturity of the technology?

Roxane Edjlali

C5. To the Point: Where Are You on the Big Data Maturity Road Map?

Companies adopting big data solutions are unsure of what to expect and when to expect it. They want to know where they are and how to move forward. The Gartner road map will help you to develop a big data strategy as it outlines typical stages and milestones of big data adoption, from initiation to a data-driven enterprise. • What are the typical stages and

milestones of big data adoption? • Which big data myths and fallacies derail

big data projects?

• How can you develop and expand big data initiatives?

Svetlana Sicular

C6. Quantified Self and the Rise of Personal Analytics

The ability of personal devices to track and communicate every aspect of our behavior and physical state creates a huge

opportunity for better understanding of customers, citizens and patients by organizations and themselves. How

organizations respond to this opportunity will be critical to their success.

• What’s driving the adoption of personal analytics and why is it important? • How is the data being captured

and analyzed?

• How do these benefit an enterprise and how can you use the data successfully?

Gareth Herschel

C7. Hadoop: An Introduction

Has Hadoop hype got you scrambling to keep up? Looking for a basic introduction that sorts out what’s ready to use today and what’s still on the Silicon Valley whiteboards? This session gives the basic grounding you need to have a conversation with your organization’s big data advocates. • What is Hadoop and how does it differ

from traditional technologies? • Which vendors offer robust Hadoop

solutions and how can you evaluate them? • Which deployment approaches are best to

get started?

Nick Heudecker

C8. Industrial Analytics: The Next Wave of Business Transformation

In the next decade, pervasive adoption of

transformation than data and analytics-centric, consumer-oriented organizations achieved over the past decade. This presentation highlights key trends and use cases in industrial analytics, an analytics maturity model mapped to OT/IT convergence, best practices and key challenges.

• What are the key trends, major opportunities and challenges in industrial analytics?

• What are the components of an industrial analytics framework and maturity model? • How will business practices and

decision-making processes change?

Rita L. Sallam

C9. To the Point: Who’s Who in Social Media Analytics

As an emerging market, the social media analytics space is teeming with small point solutions and large business intelligence solutions, all competing for your business. In this session, we discuss how to delineate between vendors and areas of specialization for vendors in the social media

analytics space.

• What are the primary differences between vendors in the social media

analytics space?

• What types of specialty vendors exist for social media analytics?

Carol Rozwell, Jenny Sussin

C10. To the Point: Big Data Strategy Essentials

A heightened interest in big data, coupled with a limited appreciation of its challenges, creates an information strategy gap that introduces tremendous risk for enterprises. On one hand, companies are at risk of over-investing in big data before they are prepared to execute on it. On the other hand, they are at risk of under-investing in it and ceding competitive advantage. • What are the range of IT-related big data

challenges and key components to mitigate them?

• What are the big data issues that business leaders must be aware of

and accommodate?

• How can you gauge the completeness of your big data strategy and readiness to embark on an enterprise big

data initiative?

Douglas Laney

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TRACK D

Advanced Analytics

D1. The Rise of the Smart Machines: Their Technical, Business, Economic and Social Impacts

Smart machines, which do what we thought only people could do, are the

next great disruption. They include

conversational assistants, like Google Now, that will know how you work, understand written content and images, and proactively make recommendations based on your actions. There’s IBM’s Watson, which can help clinicians keep up with medical literature and suggest courses of action; software that writes sports stories from box scores and grades college-level essay questions; robotic attendants that learn from, monitor and assist the handicapped; and cars and trucks that drive themselves.

• Exploit the enterprise’s deep domain-specific knowledge with the unexpectedly strong capabilities of Watson or Watson-like technologies to establisha first mover advantage in their industry

• Enhance executives’ decision making via advanced analytic assistants

• Augment or replace legions of knowledge workers with cognitive assistants

Tom Austin

D2. Google, Apple Siri, and IBM Watson — Natural Language Question

Answering in Your Enterprise

Question answering (QA) systems, such as Watson or Siri, can answer user questions posed by either voice or text. Task services and cognitive systems are stretching the boundaries of machine-based information processing systems and are offering improved business value. This presentation is intended as a companion to session D1., with a more technology-specific focus. • What is a natural language question

answering (NLQA) system, and what are the types of problems that would benefit from NLQA capabilities?

• What types of NLQA systems are commercially available, and how do they map to a NLQA reference architecture? • What are the NLQA technology

future trends?

Jamie Popkin

D3. Business Analytics 2020 Market Trends

Based on a rich foundation of fact-based market research, this presentation provides a market model that lays out the triggers toward analytics on all sources, at the point of decision. By 2020, the scope, use cases, buying centers, delivery models and vendor landscape will look radically different. • What will be the market movers for BI and

analytics to reach pervasive usage? • Which vendors are well-positioned to lead

and win in the market?

• When will hyped technology triggers reach market maturity?

Dan Sommer

D4. To the Point: All Roads Lead to Prescriptive Analytics

All analytics aim to leverage data to make better decisions, yet there are many different paths to getting there. Learn about the options and some key suggestions for getting started.

Lisa Kart

D5. To the Point: Ten Best and Worst Practices for Real-Time Analytics

Real-time operational intelligence systems and dashboards provide businesspeople with situation awareness and alerts on anomalies, threats and opportunities. This leads to faster and better decisions, but only if companies avoid information glut, alert fatigue and other design errors.

• What are five best practices for turning real-time data into actionable insights? • What are the five most common mistakes

in real-time analytics?

W. Roy Schulte

D6. The Seven Dimensions of Context-Aware Security Analytics

This session explains the benefits of

context-aware security and the analytics that drive it. It explores how to use the seven dimensions of context-aware computing to mitigate damage from largely invisible security threats. It also delves into

organizational and process considerations, as well as the business and IT risks. • What are the seven dimensions of

context-aware security analytics? • How do organizations use

context-aware security?

• What are the business and IT impacts and risks?

Avivah Litan

D7. Key Trends and Emerging Technologies in Advanced Analytics

This session provides an overview of key trends with some examples from the cutting edge, where we discuss new developments in predictive analytics, crowdsourcing and deep learning.

• What are some of the key trends in data science?

• What is happening at the cutting edge? • What challenges do organizations face

and how can they address them?

Alexander Linden

D8. Applying Real-Time Analytics Within Business Operations

Companies are doing more BI and analytics in real time, as an integral part of the business processes and transactional systems that run their day-to-day operations. The BI, advanced analytics and business process management (BPM) disciplines must work together to

operationalize analytics.

• How does operational intelligence differ from traditional BI and offline analytics? • “Right-time” analytics — when does it

need to be “real-time?”

• What tools are used for monitoring, alerting and adaptive

decision management?

W. Roy Schulte

D9. To the Point: Crowd Sorcery — The Power of Connected Minds

The Internet of Ideas is about the power of connected minds and diverse viewpoints. It involves crowdsourcing, crowdfunding and knowledge sharing. It underlies abilities to formulate questions and find answers by reaching large number of people, to gather ideas from the outside sources, to prove ideas by involving external workers, and to get the job done by finding the right skills externally.

• What is the Internet of Ideas? • What does crowdsourcing enable? • Why treat crowdsourcing as an analytical

and business solution?

Svetlana Sicular

D10. To the Point: Sentiment Analysis — Move Past Polarity, Turn Insight Into Action!

Detecting polarity is not the only application of sentiment analysis. It can be used to detect a rich set of emotions and intentions that go well beyond positive/negative. This presentation explores the insight that IT can provide to end users for developing sentiment analysis applications. • What is sentiment analysis?

• How can IT quantify the value and justify the cost of sentiment analysis?

• How can IT enable citizen developers?

Jamie Popkin

TRACK E

Jump-Start Your

Analytics Initiative

E1. The Top 5 Wrong Assumptions About Business Analytics

The findings from Gartner’s “business analytics in the enterprise” field research report challenge many of the key

assumptions that have traditionally guided business analytics. This session summarizes what works, identifies gaps and shares proven techniques for better leveraging your business analytics investment.

• What are the common assumptions about business analytics and why are

they wrong?

• What are the key pillars for successful business analytics programs? • What other dimensions need to be

considered and why?

Carlie J. Idoine

E2. The Disruptive Impact of Data Discovery

Data discovery has gone from being seen as a nuisance to an enabler for spreading analytics to a broader audience. Love it or hate it, it’s changing the way we consume information and is reshaping the BI market. With BI leaders facing increasing demand for a more agile BI and greater user autonomy, it’s time to deploy data discovery.

• Why is data discovery disruptive? • How do the vendors compare, and how

does it impact your BI initiative?

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• What are the best practices for deployment and governance?

Dan Sommer, Joao Tapadinhas

E3. Agile BI Is Not the Same as Agile Development

With exaggerated claims of agility, agile development advocates have once again taken the stage in BI and data warehousing. Agile development is about speeding up the delivery for focused scope and specific business process support. It is therefore largely an anathema to BI and data warehouse practices, which are focused on breaking down business process silos. Agile techniques can certainly be adopted in BI and data warehousing. In this session, we outline what is “in” and what is “out” when it comes to mixing agile development with agile BI.

• What is agile BI?

• What is agile development and why doesn’t it work with BI?

Mark A. Beyer, Roxane Edjlali

E4. To the Point: Business Analytics in the Cloud — BI Heaven or Too Good to Be True?

Cloud business analytics offers the promise of quicker time to information, performance, scalability and lower TCO, with just a fraction of the current effort to support on-premises solutions. With your feet on the ground and no hype, learn the real benefits and pitfalls of cloud BI.

• Is the cloud a real alternative to on-premises BI solutions?

• How can organizations gain competitive advantage through cloud BI?

• What are the best practices to avoid pitfalls and leverage benefits?

Joao Tapadinhas

E5. To the Point: Five Information Governance Best Practices For Increasing the Value of BI and Analytics

Organizations continue to struggle with conflicting reports, shadow analytics systems and issues in data quality. By following five best practices, they can cut through this chaos and increase the consistency and perception of BI in the enterprise.

• Why do organizations spend so much

• What are some of the new practices and approaches that can be adopted to reduce this chaos?

Douglas Laney

E6. Data Quality Assurance In the Age of Big Data: Why and How

Changes in the types of data being consumed and analytic applications being deployed are driving new and significant data quality challenges. While use and capability of technology is evolving, you must also engage the proper people, develop required skills and establish specific roles to achieving substantial progress in data quality improvement.

• How are data quality issues changing with big data and the evolution of analytics? • What key data quality practices must

organizations adopt?

• Where do data quality tools add value and how will the market evolve?

Ted Friedman

E7. Interactive Visualization: Seeing Is Believing

Interactive visualization and data discovery have become BI market phenomena because they allow users to quickly gain insight and understanding from data that is not possible from traditional cross tab reports. This presentation shows attendees what’s possible when using visualizations for different use cases and best practices. • What capabilities and techniques define

interactive visualization?

• How do the two main visually driven use cases in BI, for dashboards and analytics, differ? How do they overlap?

• How do you apply the tenets of good dashboard design?

Rita L. Sallam

E8. Serving Up Self-Service

There is significant hype around the concept of “self-service BI.” This presentation defines self-service BI, and explains what it is not, how it fits into the end-to-end BI process and the technologies included. In addition, it provides guidance for introducing self-service into an existing BI environment.

Carlie J. Idoine

E9. How to Get the Most Out of Magic Quadrant Research

“Magic Quadrant” is still the most-searched term on gartner.com. It is a powerful methodology to understand technology markets and how the vendors relate to those markets. It helps you succeed with finding the right technologies. But there are pitfalls, too.

• How can you make use of the Gartner Magic Quadrant?

• How can you use associated research, such as the customer reference survey?

Josh Parenteau

E10. To the Point: How Mobile BI Drives Adoption

With mobile devices becoming pervasive in organizations, and decisions being made on the road, in the warehouse, store or customer’s offices, mobility becomes a priority for BI. Learn how to leverage mobile BI to target new BI audiences and improve business processes.

• Why should you care about mobile BI? • What new capabilities are

vendors offering?

• How can you go beyond basic mobilization of BI content? Joao Tapadinhas

TRACK F

Practitioner’s Corner

F1. Case Study TBA F2. Case Study TBA F3. Case Study TBA

F4. To the Point: New Approaches to Provisioning Data For BI

and Analytics via Data Federation/Data Virtualization

The infrastructure for delivering data in support of analytics continues to evolve, and data federation/virtualization will play an increasingly important role. Organizations should consider several specific use cases

• What is data federation and virtualization? • How can this approach to data integration

benefit BI and analytics initiatives?

• What are some of the challenges and risks of deploying such architectures?

Ted Friedman

F5. To the Point: Open Sesame! Opening Up Your Linked Data to the World

Open data is proving to be a great source of innovation — business innovation, by sharing information as a competitive differentiator (an area in which public sector is pioneering), and technology innovation, through the emergence of linked data standards, such as RDF and SparQL.

Ted Friedman F6. Case Study TBA F7. Case Study TBA

Tutorials

T1. The Fundamentals of a BI and Analytics Platform

Organizations need to understand the basics of BI to ensure they’re using the right tools and techniques to support decision making. This session explains the fundamentals of BI

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and business analytics as it increasingly becomes a driver of business performance and transformation.

• What is BI and analytics?

• Which capabilities make up a BI and analytics platform?

Josh Parenteau

T2. Understanding the Analytics Spectrum

Organizations know there is value in analytics, but struggle with understanding the different analytic capabilities they can leverage and when to use them. • How do analytic capabilities support

decisions?

• How are analytic capabilities used? • How do I use these capabilities to become

a more analytically mature organization?

Lisa Kart

T3. Fundamentals of Corporate Performance Management

Corporate performance management (CPM) should be a priority initiative for CFOs. This session defines the components of CPM and explains how these solutions support critical office of finance processes and enhance strategic performance

management capabilities.

T4. Data Science Tutorial

Business and IT leaders learn how the basic principles of data science work: e.g.,

decision trees, regression, neural nets and clustering. We also discuss some use cases and how to overcome the challenges to solve them.

• How do computers learn and what are the major business use cases?

• How can you overcome the main challenges?

• How can you get started?

Alexander Linden

Workshops

W1. The Analytics of Collaborative Healthcare Models

Healthcare payers and providers are welcome to join this workshop and discuss early experiences and questions about the analytics required to support new healthcare payment models, such as Accountable Care Organizations, Patient-Centered Medical Homes, bundled payments, and so on. We discuss what has been effective and what has not, experiences with various vendors in the space, and best next steps in the evolution of this market.

Jeff Cribbs

W2. Gauging and Improving Your Information Maturity

As organizations struggle to manage and leverage their increasing wealth of information assets, a yardstick and road map can be indispensable. From architecture and

integration to analytics and culture, attendees gain an understanding of the full range of information-related capabilities and explore the Gartner Information Maturity Model (IMM).

Douglas Laney

W3. Building a Metrics Framework

What is a metrics framework and why is it so important to your BI efforts?

• What are the guiding principles for building a metrics framework?

• Who needs to be involved with metrics selection?

• How do we use the metrics to improve business performance?

Michael Smith

W4. Linking Operational and Financial Planning Throughout

the Enterprise

Strategic financial planning is often

conducted in an isolated a manner within the office of finance. This session provides practical guidance for more comprehensive, organization-wide planning.

• Why are strategic financial and operational planning processes disconnected? • How can the CFO make strategic financial

plans more agile?

• How is technology enabling more comprehensive planning processes?

W5. How to Craft an Analytics Strategy

Organizations understand the importance of developing a business analytics strategy, but often encounter challenges in some areas. This workshop discusses the components of a business analytics strategy and enables attendees to discuss specific challenges with peers and understand potential ways to overcome these challenges.

Ian A. Bertram

W6. The Super Skills of the Socially Centered Leader

Employee engagement and trust are key to company success. Only socially centered leaders can engender the employee engagement that is essential for sustained enterprise success. These leadership skills are based on principles from several disciplines, including cognitive psychology and neuroscience.

• Activity No. 1: Identify your three leadership centers

• Activity No. 2: Emotion as information • Activity No. 3: Craft a balanced and

engaging change request

Debra Logan, Carol Rozwell

W7. Keeping Bad Guys Out of Your Accounts Using Five Layers of Fraud Prevention

This session looks at internal and external threats to the enterprise and how criminals are circumventing common solutions in place today. It delves into five layers of fraud prevention and the analytics needed to mitigate these threats, and prevent account takeover and new account fraud.

• What are the trends in fraud attacks? • What are the best practices for layered

fraud prevention?

• What changes are needed here with mobile applications?

Avivah Litan

Analyst-User Roundtables

AUR1. TBA

AUR2. Understanding the Big Data Ecosystem

A big data initiative represents a broad set of technology choices. Understanding how the components in the big data ecosystem interact is essential to developing effective solutions.

Nick Heudecker

AUR3. Impact of Consultants on Business Analytics Initiatives

There is no shortage of consultants for all aspects of an analytics, big data or data warehousing project. Common issues exist in working with consultants to the successful conclusion of a project. This roundtable focuses on how to find the consultant for the job. Participants will share how they work with consultants and what issues they are trying to resolve.

Alex Soejarto

AUR4. SAP Hana

You are already using or are considering using SAP Hana for one or many use cases, including analytical use cases, business suites or SAP BW. This analyst-user

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roundtable allows you to discuss with peers the value and challenges you encountered.

Roxane Edjlali

AUR5. TBA

AUR6. Best Practices in Real-Time Analytics

In this session, attendees will discuss best practices as well as common mistakes in real-time analytics.

• What technologies are required for best-in-class real-time analytics? • Which organizational groups are best positioned to lead a real-time analytics initiative?

W. Roy Schulte

AUR7. Best Practices in Marketing Analytics

Marketers are facing more pressure than ever to demonstrate return on marketing initiatives. In this analyst-user roundtable, attendees have the opportunity to connect with their peers and share approaches on proving marketing’s impact on the business.

Jenny Sussin

AUR8. Defining and Measuring Business Value for Your BI and Analytics Initiatives

Defining business value can be a challenge. A business value framework that Gartner has published, developed from researching how other organizations have addressed this same challenge, is provided. Come discuss your challenges and learn what works from others.

Bill Hostmann

AUR9. Lessons Learned from Deploying SAP BW

Join peers to discuss the best practices in deploying SAP’s Business Information Warehouse (BW).

• Which BI client works best against BW? • How useful is the packaged content? • What purpose does the Business

Objects Universe have for BW?

Kurt Schlegel

Super Roundtable Sessions

SR1. How to Apply and Use the Business Analytics Framework to Develop Your BI/Analytics Road Map

Gartner has developed a framework for defining the combinations of people, processes and platforms at work within successful BI and analytics initiatives. Our discussion topic is on the use of the framework and how it might be applied in your organization.

Bill Hostmann

SR2. Lessons Learned in Building an Analytics Program in the Insurance Industry

While analytics has been talked about for years, many insurers are still early in the journey to business-level success. This roundtable reviews lessons learned and best practices in building and applying analytics throughout the insurance enterprise.

SR3. BICC Best Practices

Attend this roundtable to discuss with peers best practices for implementing an Analytics Center of Excellence (ACE).

Neil Chandler

SR4. Content Analytics Best Practices

Business analytics is increasingly focused on deriving a rich set of information from a diverse set of sources that includes structured data and content. Hybrid use cases based on content analytics are proliferating in user organizations, and a growing number of vendors are offering solutions to meet these new types of search and analytical needs.

Jamie Popkin

SR5. Deploying Analytics Into Healthcare Processes

TBA

Vi Shaffer

SR6. Selecting the Right Metrics

This session explores key issues, including: • What are the right metrics for your

BI initiatives?

• How are metrics used in your enterprise?

Session descriptions

• What are the challenges to metrics selection?

• How do you engage stakeholders in the metrics selection process?

Michael Smith

SR7. Impact of Consultants on Business Analytics Initiatives

There is no shortage of consultants for all aspects of an analytics, big data or data warehousing project. Common issues exist in working with consultants to the successful conclusion of a project. This roundtable focuses on how to find the consultant for the job. Participants share how they work with consultants and what issues they are trying to resolve.

Alex Soejarto

SR8. Big Data for Advanced Practitioners

Join this analyst-facilitated discussion of end-user organizations that have invested in big data to review best and worst practices.

Merv Adrian

SR9. Using Big Data Analytics to Solve Cybersecurity and Fraud Issues

Attend this roundtable to network with peers about best practices in using big data analytics to improve security and manage fraud in your enterprise.

Avivah Litan

SR10. Best Practices in Financial Analytics

Both office of finance and strategic

corporate performance management (CPM) efforts benefit from more capable financial analytics. This roundtable discusses the impacts of the convergence of CPM and financial analytics.

Christopher Iervolino

SR11. The Quantified Self for Healthcare

In 2013, we saw an explosion in hype about the quantified self, personal analytics, wearable computing, wellness apps and devices. But is there anything there? Will these technologies have a long-term impact on health? Are there business opportunities for healthcare payers, providers and the vendors who engage them?

Jeff Cribbs

SR12. Information Governance Programs: Best and Worst Practices

Organizations struggle with issues around information governance. Deciding on the value of information, who owns the information, how long it should be retained, and what kind of technology is best applied to solve information governance issues — all of these are difficult questions that require cross-organizational participation to answer. If you have ever been involved in a records management, archiving, ECM, or information management program, this roundtable gives you an opportunity to tell others what you have done, what you would do again and what to avoid at all costs.

Debra Logan

SR13. Best Practices in Real-Time Analytics

In this roundtable, attendees discuss best practices as well as common mistakes in real-time analytics.

Ian A. Bertram

SR14. Exploiting Smart Machine Technology for Competitive Advantage

Attendees focus on practical steps to take with current offerings, including smart advisor technology and natural language question answering systems based on systems like IBM Watson, virtual personal assistants such as Google Now, and “bias-free” natural language generating recommendation technologies, such as Narrative Science and Arria.

Gartner Business Intelligence & Analytics Summit 2014