The Briefing Room with Dr. Robin Bloor and IBM Business Analytics Live Webcast on June 17, 2014 Watch the archive: https://bloorgroup.webex.com/bloorgroup/lsr.php?RCID=56bf8e3cbf90e205142eac90d889bb4d The storyline on business intelligence is solid: companies of all sizes use it to gain insight and improve decision making. Still, organizations are always looking for ways to further optimize the business and accelerate growth. What’s the next step? Predictive, specifically the type with which business users and data analysts alike can engage. Register for this episode of The Briefing Room to hear veteran Analyst Robin Bloor as he explains how and why traditional business intelligence must evolve. He’ll be briefed by David Clement of IBM who will tout his company’s forward-looking BI platform, which includes versatile, powerful predictive capabilities coupled with traditional dashboards and reports. He will demonstrate how its new graphical features empower business users to do more with advanced analytics, and how the combination of predictive and BI leads to deeper understanding of and across the enterprise. Visit InsideAnlaysis.com for more information.

1. Grab some coffee and enjoy
the pre-show banter before
the top of the hour!

2. Forward Looking BI – The Future of Decision Making
The Briefing Room

3. Twitter Tag: #briefr
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Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh

4. ! Reveal the essential characteristics of enterprise software,
good and bad
! Provide a forum for detailed analysis of today’s innovative
technologies
! Give vendors a chance to explain their product to savvy
analysts
! Allow audience members to pose serious questions... and get
answers!
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Mission

5. This Month: ANALYTICS & MACHINE LEARNING
July: INNOVATIVE TECHNOLOGY
August: BIG DATA ECOSYSTEM
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Topics
2014 Editorial Calendar at
www.insideanalysis.com/webcasts/the-briefing-room

6. “
“ The best way to
predict the future is
to invent it. -Alan Kay

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Analyst: Robin Bloor
Robin Bloor is
Chief Analyst at
The Bloor Group
robin.bloor@bloorgroup.com
@robinbloor

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IBM
! IBM offers a wide range of hardware and software solutions
! Its Predictive and Business Intelligence capabilities include
traditional reports and analysis, coupled with self-service
features and predictive measures over operations
! The platform also includes advanced visualizations, as well
as sharing and collaboration tools

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Guest: David Clement
David Clement is a leader of product and solutions marketing within
IBM’s Predictive and Business Analytics division. David’s career spans
across multiple business units in the financial and business
intelligence software field, allowing for a broad understanding of
customer needs and successes. David has spoken at numerous
industry events and conferences, contributed to the authoring of
multiple IBM sponsored articles, delivered online presentations and
workshops for client and partner groups and hosted Twitter chats on the subject
of business analytics. Follow David on Twitter @DWClement to learn more about
data analysis at the individual, work group and enterprise levels.

10. Forward-looking Business Intelligence
THE FUTURE OF DECISION MAKING
DAVID CLEMENT
IBM Product Marketing Manager,
Predictive & Business Intelligence
Twitter @dwclement

11. Forward Looking Business Intelligence
THE NEW WAY FORWARD
Delivers a spectrum of capabilities to the enterprise
Blends predictive views alongside historic and current data
Solves challenges and identifies opportunities with better foresight

12. WHO SHOULD CARE ABOUT THE JOURNEY?
BUSINESS
MANAGERS
Managers want
situational awareness
to make better
decisions faster
CEOs
70% 95%
of CEOs seek to
understand individual
customer’s needs
CIOs
of CIOs want to lead
or support strategies
to drive real-time
decisions
A change in the landscape

13. Business users are facing
A NUMBER OF ANALYTIC CHALLENGES
ALIGNING with business goals and objectives
UNDERSTANDING how todays decisions can effect tomorrow outcomes
ENHANCING the validity of good judgment
IMPROVING the assimilation and analysis of numerous data sources

14. Forward Looking BI from IBM
BEYOND TRADITIONAL REPORTING AND
ANALYSIS
OPTIMIZE OUTCOMES
by tying predictive measures
against operational processes
EMPOWER USERS
of all skill levels with
self-service capabilities
DEPLOY
Forward looking BI on desktops,
browsers, and mobile devices
SHARE BROADLY
with a single BI interface to
extend across departments

15. Improving decisions with Forward Looking BI
WHERE DO YOU SEE YOUR BUSINESS?
GOOD
Spreadsheets are good for
lookup of value and field to
field comparison
BETTER
BI is better for context, data
discovery, identification
BEST
Forward Looking BI builds on
the previous by adding a future
view stated as a likelihood

16. Forward Looking BI from IBM
CUSTOM VISUALIZATIONS AVAILABLE TO
MORE EASILY PINPOINT TRENDS
IN DATA

17. Forward Looking BI from IBM

18. Using Forward Looking BI
EMPOWERING THE BUSINESS USER
DEMO

19. Forward Looking Business Intelligence
WHY CHOOSE IBM?
ENABLE the spectrum of analytics in a single platform
DELIVER predictive insights to decision makers
SOLVE business challenges and identify opportunities

20. HOW TO GET STARTED
VISIT AnalyticsZone.com
READ “BI Forward – A full view of your business”
WATCH “Extending BI with predictive analytics for better decisions”
“Analyzing the past and present to shape your future”
CHECK OUT

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Perceptions & Questions
Analyst:
Robin Bloor

22. The Sunrise of BI?
Robin Bloor, Ph.D.

23. BI and Operational Systems have
historically been separate
The technology and computer power
now make it possible for them to be
brought together
Backdrop

24. The Driving Force: Insight
and
OPTIMIZATION?

25. Old BI (Hindsight and Oversight)
u Mainly historical, slow
and never real-time
u Reactive rather than
proactive
u Not integrated
u One dimensional
u Limited discovery
capabilities
u Limited self-service

26. New BI (Includes Predictive)
INCLUDES
OLD BI
Can be real-time or
near real-time
Proactive & self-service
INTEGRATED
CONTEXTUAL More automated

27. The Implementation Conundrum

28. And So…
The QUESTION that seeks an answer is:
How can technology best support
DECISION MAKING in all its
aspects?

29. u Including predictive capability (and discovery) in
BI dashboards/summaries is clearly a smart move.
- But how do you know what predictive trends to
include?
- And how do you keep predictive trends fresh?
u Predictive analytics covers a wide range of
targets. Is IBM just using it here for decision
support?
u What is the design and implementation process?

30. u Could you describe the predictive capability in
more depth?
u How does the BI user know which visualizations
to choose and why?
u How does this capability integrate with existing
BI solutions?

31. Twitter Tag: #briefr
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32. This Month: ANALYTICS & MACHINE LEARNING
July: INNOVATIVE TECHNOLOGY
August: BIG DATA ECOSYSTEM
www.insideanalysis.com/webcasts/the-briefing-room
Twitter Tag: #briefr
The Briefing Room
Upcoming Topics
2014 Editorial Calendar at
www.insideanalysis.com

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THANK YOU
for your
ATTENTION!
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