Big Data (Adv. Analytics) in 15 Mins.
Peter LePine
Managing Director – Sales Support
Agenda
•
Big Data in 15 Mins.
•
Goal: Provide a basic understanding of; What is Big Data; Why it’s important to
Customers; How Emtec can help identify Big Data opportunities.
What are Big Data & Adv. Analytics
How Organizations using Big Data
How Emtec can help
Big Data – Some real-world examples
•
Retail Banking
–The expectedly large and negative consumer reaction to new fees announced by large US banks in late 2011 is a case in point. Hundreds of thousands of accounts were lost in a few days—the
equivalent of a year of losses under typical market conditions—by the time consumer sentiment was fully understood and corrective action could be taken.
–Hospitality Industry
•
“Many airlines treat even their frequent flyers as strangers. We have the data to treat
them as they would want to be treated”
–EVP of British Airways
–Airlines & Hotels have acquired massive amounts of data via loyalty programs , and travel providers have begun to analyze data in ways they hope will increase personalization.
EPM
•
Online Media
–“Analytics available to even the lowest YouTube channel producer now rival the most sophisticated reports CBS, NBC and ABC had available in the 1980s. Apply even better analytical engines to the data from Fitbit pedometers, Google Glass, Smartphones, etc. and you’ve got an unprecedented depth and breadth of knowledge available soon to anyone, anywhere.”
•
James McQuivey is the author of “
Digital Disruption: Unleashing the Next Wave of
Innovation
.” VP and Principal Analyst at Forrester Research.
Every day, we create 2.5 exaBytes of data — so much that 90% of the data in the
world today has been created in the last two years alone.
2.5Xb = 2,500,000,000,000,000,000 (1018) Bytes of data
Big Data Defined
•
How BIG is Big Data???
–Social Media – Facebook reached 1 billion members in 2012
–Entertainment – Netflix has approx. 30 million subscribers
• Every download is 3 – 11 Gbytes
•
Media – Many channels of 7*24 streaming
media
–Twitter, LinkedIn, Yelp, MSN, and lots more
–Google Search – 1.2 Billion sites searched in 0.35 secs
•
Corporate –Email, SMS & FTP sent / received
per day
–2011 2012 2013 2014 2015
–105 110 115 120 125
•
In 2011, the majority of Email & SMS users
were;
(Economist analysis)
–Asia Pacific accounts for 49%
–Europe accounts for 22%
–North America has about 14%
Data Mining Defined
•
The ‘Engine’ of Advanced or Predictive Analytics
–Exploratory Data Analysis – An iterative exploration & filtering of the result-set
–Hypothesis Testing – Establish the conditions / filters , test / refine the validity of the Hypothesis
–Data Visualization – Heat Map or other representation of the distribution of the Dataset
•
Real-world examples of Data Mining
–Social Media - Tracking of ‘Likes’ & ‘Dislikes’, reach out to Friends with similar interests
–Retail & Transportation – Pattern matching to develop pricing strategies based on time, usage, family plans, etc.
–Insurance / Law Enforcement - Heat Map (Identify) based on more granular data than Zip code, more granular time periods, etc.
•
Statistical function-based Analytics
–Aggregate a large Dataset of historical detail, filter out the ‘Noise” to Predict future; Trends / Behaviors / Events
–Analytical tools contain Libraries of Built-in Functions
–e.g. Business Functions – NPV, Depreciation, Compound Growth Forecast
–Statistical Models – Linear Regression, K-Factor, Probability modeling
•
Real-world examples of Predictive Analytics
–On-line Retail – Select any Product… Product accessories (Associations)
–Hospitality – Pricing based on factors such as; Load / Occupancy, Loyalty & Competitor pressures
–Transportation – Predictive analysis to determine Route optimization, Maintenance schedules, Traffic patterns
Big data analytics is done with Software Tools used as part of Advanced Analytics
disciplines such as
Predictive Analytics
and
Data Mining
.
The Language of Big Data & Predictive Analytics
•
Terminology of Big Data & Predictive Analytics
–Data Warehouse Appliance – Parallel engine & Storage ‘packaged’ in a single device.
–Unstructured data – Any data that doesn’t conform to a Field or Column paradigm (e.g. a Document)
–MapReduce – Research project sponsored by IBM & Google to process very large datasets, in massively parallel platforms (1,000’s of Nodes)
–Hadoop – Research project sponsored by Apache Foundation…
–NoSQL – Research project sponsored by UC Berkley & Rackspace…
–Statistical Analysis – Use of Statistical functions to Analyze & make data driven decisions from very large Datasets
–Behavioral Analytics – Use of Behavioral (social sciences) functions…
Summary - Big Data & Predictive Analytics
Big Data & Predictive Analytics should not be confused with “BI on Steroids”
Unique Platforms, Analytic Tools & Business usage.
Every Client needs some BI capability, whereas Big Data & Predictive Analytics are not on
the radar for smaller & mid-sized organizations.
Predictive Analytics
•
Predictive Analytics isn’t the same as BI
–Business Specialist / Power User tools that predict future trends using Statistical Analysis techniques.
Target Clients / Industry Segments
Retail
Travel &
Hospitality
Financial
Services
Media
High-volume Online & Traditional Retail
Airlines, Hotels, Timeshare, Rental Cars, Travel
Retail Banking, Credit Card, Insurance, Brokerage Mainstream Media Specialized Channels, etc. • Growth Strategy
Use of Social media Analyze & Predict trends before competitors Customer loyalty • Growth Strategy Customer loyalty, Operational efficiencies Partner Revenue • Growth Strategy Acquisition, no single view of the customer Customer retention & Customer capture Cross-sell & Up-sell
• Growth Strategy
Media transition to subscription-based News / Topic / Event aggregation
Target A&P spend to individual interests
• Customer Benefits
Right product, Right location, Right price
• Business Benefits
Store Operations Product associations Improve Revenue & Margins
• Customer Benefits
Customer care / loyalty programs
• Business Benefits
Optimize Operations Improve Revenue & Margins
• Customer Benefits
Reduce Costs across Products & Services
• Business Benefits
Patterns of behavior Risk Analysis, Improve Revenue & Margins • Customer Benefits Narrow-cast News, no longer Broadcast • Business Benefits Compete in a 7*24 Global Village Group associations / ‘neighborhoods’
Big Data & Predictive Analytics Landscape
Business Intelligence Data Mining Adv. Analytics Structured Databases ‘Big Data’ InfrastructureAnalytic Engine SQL / ODBC or
Other Data Drivers
Unique Platforms, Analytic Tools & Business usage.
Some familiar names – IBM, Oracle, SAP & Microsoft
Emtec, Inc. Proprietary & Confidential. All rights reserved 2013.
Custom Application Development Services
•
Information Delivery
–BI, reporting & analysis, advanced analytics & ‘Big Data’, KPIs, dashboards & scorecards, business repository
•
Information Management
–Data infrastructure, information as a corporate asset
•
Data Integration
–Extract, transform, load from data sources into target DW or data marts
•
Information Architecture
–Assessments, strategy, roadmaps & blueprints, data architecture
IM & BI Practice Overview
Big Dat
a
Data Integration
Content
Management
Master Data DW Analysis & Design Data Governance Data Quality 16Emtec Adv. Analytics Workflow
Discovery
Pilot
Project
Technical
Impl.
Discovery Workshop or Assessment
• Understand functional (Business) requirements, and
• Understand the Data (Internal & External) Sources
• Develop a Strategic Roadmap for Analytics
Pilot Project & Project Planning
• Limited scope Pilot to test & validate hypothesis
• Build the business case for Implementation
• Prove the Technical Infrastructure (Tools & Data infrastructure)
Technical Implementation
• Refine & Filter Analytical results
• Develop Analytic reports
Key Sales & Delivery Contacts
Jamal Syed Deric Selchow
Sajid Patel Peter LePine
Delivery Management Email: [email protected] 847-323-6588 (Mobile) Sales Support Email: [email protected] 408-674-7336 (Mobile)
OBIEE Practice Manager
Email: [email protected]
630-235-8393 (Mobile)
MSFT BI Practice Manager
Email: [email protected]
Collateral specific to Big Data
•
Sales Support Collateral
–Sales Briefing - Big Data in 15 Mins.
–Technical & Industry Case Studies
–Big Data Quick Reference Card
–Assessment Outline
