The document outlines the Citi Global T4I Accelerator Data and Analytics Webinar, focusing on sourcing tech solutions for promoting global integrity. It discusses various global data and analytics challenges, IBM's cognitive use cases across different regions, and provides an overview of analytics types such as predictive, prescriptive, descriptive, and diagnostic. Additionally, it emphasizes the importance of utilizing open data and APIs to meet user needs and drive innovation in government services.

1. Citi Global T4I Accelerator Data and Analytics Webinar:
An open innovation initiative seeking to source tech solutions that promote integrity around the world
Global Government Industry
Any use of this material without specific permission of IBM or Citi is strictly prohibited.
By: Marquis Cabrera
Global Leader of Digital Government Transformation
IBM Global Government Center of Competency
Date: April 6, 2017
Twitter: @MarquisCabrera

2. 2
• Global Problems: Problem-Solution
• Global Data and Analytics Problems
• Global IBM-Cognitive Use Cases
• Data and Analytics 101
• Consider: Logic Model / Theory of Change
• Potential Data Sources: Open Data, Open APIs
• Types of Analytics: Predictive, Prescriptive, Descriptive, and Diagnostic
• Useful Links
Agenda

3. 3
• Global Problems: Problem-Solution
• Global Data and Analytics Problems
• Global IBM-Cognitive Use Cases
• Data and Analytics 101
• Consider: Logic Model / Theory of Change
• Potential Data Sources: Open Data, Open APIs
• Types of Analytics: Predictive, Prescriptive, Descriptive, and Diagnostic
• Useful Links
Agenda

4. 4
Introduction

5. 5
Global Data and Analytics Problems
Lack of Talent
Data Privacy
Data Security
Lack of Data
Data Integrity

6. 6
Global IBM-Cognitive Use Cases
North America – Alameda County
Social Services Agency gives case
workers tools to help more clients
while eliminating $11 million in
fraud.
North Carolina identifies millions in
suspicious Medicaid claims using
advanced analytics.
South America – Rio de Janeiro
improved emergency response
time by 30% with centralized
command center.
Europe –Baden-Württemberg Ministry of Integration
improves immigrant integration policies through
analytics.
City Region of Eindhoven uses existing data from road
and car sensors to keep traffic moving.
Swedish Armed Forces improves data quality, while
migrating millions of legacy data records.
Africa – Using deep analytics and specialized algorithms to
translate visual data received from CCTV cameras positioned
around Nairobi, citizens can use their mobile phones to
receive updates on road conditions and suggestions for
alternative routes. With only 36 cameras currently installed
around Nairobi, IBM researchers have augmented data
using mathematical network analytics allowing the system
to predict traffic in parts of town where no data feeds are
available.
China – Zhenjiang builds more intelligent transportation
system to help analyze traffic patterns, obtain and
disseminate real-time traffic updates, and anticipate and
minimize traffic issues for this city of three million people.
Middle-East – IBM is collaborating with Dubai Customs, Dubai Trade to explore blockchain
solutions. Using Hyperledger Fabric and IBM Cloud, the blockchain solution transmits
shipment data allowing key stakeholders to receive real-time information about the state
of goods and the status of the shipment. Taking the example of a shipment of fruit,
stakeholders involved in the process will receive timely updates as the fruit is exported
from India to Dubai by sea, and then manufactured into juice in Dubai, and then exported
as juice from Dubai to Spain by air.

7. 7
• Global Problems: Problem-Solution
• Global Data and Analytics Problems
• Global IBM-Cognitive Use Cases
• Data and Analytics 101
• Consider: Logic Model / Theory of Change
• Potential Data Sources: Open Data, Open APIs
• Types of Analytics: Predictive, Prescriptive, Descriptive, and Diagnostic
• Useful Links
Agenda

8. Logic Model / Theory of Change
Resources /
Inputs
Activities Outputs Outcomes Impact
54321
Certain
resources
(data, inputs,
talent,
compute tools)
are needed to
operate your
program.
If you have
access to
them, then
you can use
them to
accomplish
your planned
activities (i.e.
build app to
prevent fraud).
Your Planned Work
If you
accomplish your
planned
activities, then
you will
hopefully deliver
the amount of
product and/ or
service that you
intended.
If you
accomplish
your planned
activities, to
the extent you
intended, then
your
participants
will benefit in
certain ways.
If these benefits to
participants
achieved, then
certain changes in
organizations,
communities, or
systems might be
expected to occur
(i.e. cost savings,
lives saved)
Your Intended Results

9. Data Resources: Global Open Data, Open APIs
Open
APIS
Open
Data

10. Types of Analytics
There are four types of analytics:
1. Prescriptive – This type of analysis reveals what actions should be taken. This is the
most valuable kind of analysis and usually results in rules and recommendations for
next steps.
2. Predictive – An analysis of likely scenarios of what might happen. The deliverables are
usually a predictive forecast.
3. Diagnostic – A look at past performance to determine what happened and why. The
result of the analysis is often an analytic dashboard.
4. Descriptive – What is happening now based on incoming data. To mine the analytics,
you typically use a real-time dashboard and/or email reports.

11. 11
• Global Problems: Problem-Solution
• Global Data and Analytics Problems
• Global IBM-Cognitive Use Cases
• Data and Analytics 101
• Consider: Logic Model / Theory of Change
• Potential Data Sources: Open Data, Open APIs
• Types of Analytics: Predictive, Prescriptive, Descriptive, and Diagnostic
• Useful Links
Agenda

12. Useful Links
• Project Open Data
• https://project-open-data.cio.gov/
• Watson Analytics IoT Lite (Free)
• https://www.ibm.com/blogs/bluemix/2016/12/watson-iot-platform-renamed-lite-plan/
• How We Built an IoT Application in 10 Days Using Watson IoT and IBM Blockchain
• http://bit.ly/2msml8J via
• Cognitive Government: Enabling the Data-Driven Ecosystem
• http://www-01.ibm.com/common/ssi/cgi-
bin/ssialias?subtype=ST&infotype=SA&htmlfid=GVJ03029USEN&attachment=GVJ03029USEN.PDF
• Lean Analytics
• https://blog.kissmetrics.com/lean-analytics/
• How To Learn an Industry From Scratch
• https://www.forbes.com/sites/spdr/2017/03/20/get-smarter-about-gender-
intelligence/#b58faeb2d08f

13. Identify User
Needs
Be Agile and
Innovative
Leverage
Global Platform
Government
As a Platform
MEET USER NEEDS
Use Open
Data & APIs