© 2014 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. or its affiliates. This publication may not be reproduced or distributed in any form without Gartner's prior written permission. If you are authorized to access this publication, your use of it is subject to the Usage Guidelines for Gartner Services posted on gartner.com. The information contained in this publication has been obtained from sources believed to be reliable. Gartner di sclaims all warranties as to the accuracy, completeness or adequacy of such information and shall have no liability for errors, omissions or inadequacies in such information. This publication consists of the opinions of Gartner's research organization and should not be construed as statements of fact. The opinions expressed herein are subject to change without n otice. Although Gartner research may include a discussion of related legal issues, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner is a public company, and its shareholders may include firms and funds that have financial interests in entities covered in Gartner research. Gartner's Board of Directors may include senior managers of these firms or funds. Gartner research is produced independently by its research organization without input or influence from these firms, funds or their managers. For further information on the independence and integrity of Gartner research, see "Guiding Principles on Independence and Objectivity."
Arun Chandrasekaran
Using Big Data Analytics to
#GartnerSYM
The
Nexus of Forces Is Driving
Innovation in Government
Extreme
Networking
Rampant
Access
Global Class
Delivery
Rich Context,
Deep Insights
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Are you getting
the most
business value
from your data?
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Government Information Is a Public
Asset
#GartnerSYM
Key Issues
1.
How does big data enhance analytic
capabilities in government?
2.
What decisions and steps are needed to
gain value from big data analytics?
3.
What are public sector use cases for
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
By 2015, more than 30% of analytic projects
will deliver insights based on
structured
and
unstructured data
.
Strategic Planning Assumptions
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
Correlating, analyzing, presenting, and embedding insights
from structured and unstructured information together enables
government agencies to better personalize the constituent
experience and identify opportunities for efficiencies,
innovation, and even new business models.
#GartnerSYM
Key Issues
1.
How does big data enhance analytic
capabilities in government?
2. What decisions and steps are needed to
gain value from big data analytics?
3. What are public sector use cases for
big data analytics?
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Government CIOs Have More Sources of
Information to Do More With
Open
Social
Commercial
Public
Operational
Enterprise
"Dark Data"
Text
Image
Mobile
Transactional
Data
Social
Audio
Video
IT/OT
Search
Engine
Documents
Prescriptive
Analytics
What should
happen?
Predictive
Analytics
What will
happen?
Diagnostic
Analytics
Why did it
happen?
Descriptive
Analytics
What
happened?
Open Data
#GartnerSYM
Linking, Mining, and Sharing Data Expand
Information Management Practices
Why
What
How
Whose
Government
Explanatory;
Historical
Structured;
"Simple"
Offline;
Batch
Predictive;
Outcomes
Unstructured;
Linked
In-line;
Real Time
Social
Open Data
More sources
Social Data
More relationships
Shared Data
More stakeholders
Linked Data
More context
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Big Data Capabilities Capture the
Business Value
Correlations and patterns from disparate, linked data sources
yield the greatest insights and transformative opportunities
B
ig
D
ata
C
ap
ab
il
iti
es
Primary Use Cases
Constituent
Insights and
Engagement
Program and
Outcomes
Management
Operations
and New
Services
Risk
Management
and Public
Safety
Fraud
Detection
Ability to Store and Process Unstructured Data
Ability to Link Data of Various Types
Ability to Affordably Perform Comprehensive Analysis
Transactions
Geographic
Economic
Contracts
Sentiment
Sensor
Reports
Monitoring
Demographic
Weather
Mobile
Network
Industry
#GartnerSYM
Where Do Big Data Analytics Fit?
Questi
on
Multi-dimensional
Analysis
Big Data
Analytics
Predefined
Reports
Statistical
Analysis
Data Structure
Well-defined
Known
Varied
Unknown
Public Safety:
• Situation Analysis
• Crime Detection and Prevention
Tax and Revenue:
• Fraud Detection
• Financial Management
Policy Making:
• Citizen Sentiment Analysis
• Real-time Impact Analysis
Transportation:
• Dynamic Road Charging
• Fleet Management
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Key Issues
1. How does big data enhance analytic
capabilities in government?
2.
What decisions and steps are needed to
gain value from big data analytics?
3. What are public sector use cases for
big data analytics?
#GartnerSYM
Acknowledge Big Data Analytics
Initiatives Are Unique
Technical
Challenges and
Opportunities
Business
Challenges and
Opportunities
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Business Drivers:
•
Cost-reduction
opportunities
•
Improved outcomes
•
Changing priorities or
use cases
•
New business models
•
Unused dark data
•
Compliance (executive
order or legislative action)
Technology Drivers:
•
Combination of structured
and unstructured data
•
Performance issues with
enterprise data warehouses
•
Traditional technology does
not scale
•
Technology cost reduction
•
Program grant requirements
Typical Drivers for a
Big Data Analytics Initiative
#GartnerSYM
Business: Shared Analytics and Business
Intelligence Infrastructure Road Map
Establish Strategy and Program Governance
Create a Business Intelligence Competency Center
Implement Information Governance
Create a Performance Management Framework
Stand Up the Shared Analytics/BI Infrastructure
Analytics Deployment
1
2
3
4
5
6
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
IT: A Process Framework for Big Data as
It Applies to the Logical Data Warehouse
Design
Analysis
Gather
Data
Learning
Library
Measure
Implement
Execute
and
Interpret
Frame
Problem
•
Frame it! and throw out
"not so" big data projects
•
Design business and
analytics hypothesis
•
Gather data — observe
the contacts
•
Execute — prove,
disprove, and refine
•
Implement for business
change
•
Measure all aspects
Big data is not new to users and IT is catching up. Users have
long been combining linked data with BI analytics — form
#GartnerSYM
IT: "Analytics" Data Warehouses
Big Data Analytics Project Outline
Big Data
Analytics
Project Steps
Key Participants
Key Objectives
Frame Problem Business leader, IT leader, EA, domain
expert, project manager, chief data officer
(CDO)
•
Is problem a big data problem?
•
Gain mutual agreement on problem
Design Analysis EA, business analyst, machine learning
expert, data mining engineer, data scientist
and more
•
Formulate hypotheses
•
Focus data exploration tasks
Gather Data Software engineer, network engineer, data
architect, statistician, EA, and so on
•
Work with data sources
•
Determine relevant data
Execute and
Interpret
Machine learning expert, statistician, data
miner, EA, data scientist and more
•
Technical skills to execute solutions
•
Business skills to interpret outcomes
•
Act upon big data insights
Implement Software engineer, network engineer, data
analysts, and so on
•
Technical skills to implement BDA
•
BDA production environment
•
User training
•
Business skills to implement change
Measure Financial partner, data analyst, business
analyst, EA, and so on
•
Create meaningful metrics
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Key Issues
1. How does big data enhance analytic
capabilities in government?
2. What decisions and steps are needed to
gain value from big data analytics?
3.
What are public sector use cases for
#GartnerSYM
Big Data Analytics Initiatives in
Government: Too Few and Far Between
Law Enforcement
Food Safety
Fraud Detection
Health Care
Key
National Security
Key
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Police Predict Predator's Position
•
Opportunity
- Increase the speed of Swedish police investigations
•
Data and Analytics
- Communication behaviour from phone calls in
combination with crime statistics, weather, day-of-
week and city events
- Analysed data from over 500,000 interrogations,
evidence and background info using QlikView
•
Results
•
Reduced nine months of manual analysis to three
minutes of automated analytics
•
Helped locate a serial killer in the city of Malmö by
calculating the time and location of the next shooting
•
6.7M krone reallocated from administration to law
enforcement
#GartnerSYM
NOAA’s Ark of Weather Data
•
Opportunity
- Travel safety
- Community preparation for weather related events
•
Data and Analytics
- 30 petabytes of data per year from 3.5 billion daily
observations via satellites, ships, aircraft, buoys and other
sensors
- Sophisticated high-resolution predictive modeling
•
Results
- Generates millions of weather-related products per day
including weather warnings and guidance for public and
private sectors
- Saves lives and expense via severe weather alerts
National
Oceanic and
Atmospheric
Administration
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
#GartnerSYM
Using Predictive Analytics in Foster Care
Case Management
Social Services
School
Healthcare
#GartnerSYM
Protecting Public Services With Context:
Enhanced Fraud Detection
User and Entity
Profiles
Agency and
Government Systems
Transaction Profile
Collective
Network
Analysis
© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
