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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.
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Grab some coffee and enjoy the pre-show banter before the top of the hour!
The Briefing Room
Forward Looking BI – The Future of Decision Making
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The Briefing Room
! 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!
Mission
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Topics
2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room
This Month: ANALYTICS & MACHINE LEARNING
July: INNOVATIVE TECHNOLOGY
August: BIG DATA ECOSYSTEM
“ “ 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
[email protected] @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.
Forward-looking Business Intelligence
THE FUTURE OF DECISION MAKING
DAVID CLEMENT
IBM Product Marketing Manager, Predictive & Business Intelligence Twitter @dwclement
Delivers a spectrum of capabilities to the enterprise
Blends predictive views alongside historic and current data
Solves challenges and identifies opportunities with better foresight
THE NEW WAY FORWARD Forward Looking Business Intelligence
WHO SHOULD CARE ABOUT THE JOURNEY?
BUSINESS MANAGERS
Managers want situational awareness
to make better decisions faster
CEOs
of CEOs seek to understand individual
customer’s needs
CIOs
of CIOs want to lead or support strategies
to drive real-time decisions
95% 70%
A change in the landscape
A NUMBER OF ANALYTIC CHALLENGES Business users are facing
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
BEYOND TRADITIONAL REPORTING AND ANALYSIS
Forward Looking BI from IBM
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
GOOD Spreadsheets are good for lookup of value and field to
field comparison
WHERE DO YOU SEE YOUR BUSINESS? Improving decisions with Forward Looking BI
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
Forward Looking BI from IBM CUSTOM VISUALIZATIONS AVAILABLE TO MORE EASILY PINPOINT TRENDS IN DATA
Forward Looking BI from IBM
DEMO
EMPOWERING THE BUSINESS USER Using Forward Looking BI
ENABLE the spectrum of analytics in a single platform
DELIVER predictive insights to decision makers
SOLVE business challenges and identify opportunities
WHY CHOOSE IBM? Forward Looking Business Intelligence
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
The Sunrise of BI?
Robin Bloor, Ph.D.
BI and Operational Systems have historically been separate
The technology and computer power now make it possible for them to be
brought together
Backdrop
The Driving Force: Insight
and
OPTIMIZATION?
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
New BI (Includes Predictive)
INCLUDES OLD BI
Can be real-time or near real-time
Proactive & self-service INTEGRATED
CONTEXTUAL More automated
The Implementation Conundrum
And So…
The QUESTION that seeks an answer is:
How can technology best support DECISION MAKING in all its
aspects?
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?
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?
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The Briefing Room
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The Briefing Room
Upcoming Topics
www.insideanalysis.com
2014 Editorial Calendar at www.insideanalysis.com/webcasts/the-briefing-room
This Month: ANALYTICS & MACHINE LEARNING
July: INNOVATIVE TECHNOLOGY
August: BIG DATA ECOSYSTEM
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THANK YOU for your
ATTENTION!
![Looking back and looking forward[1]](https://img.dokumen.tips/doc/110x75/5559ad0dd8b42aa4288b511b/looking-back-and-looking-forward1.jpg)
