Forward Looking BI: The Future of Decision Making

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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.

Transcript of Forward Looking BI: The Future of Decision Making

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

Welcome

Host: Eric Kavanagh

eric.kavanagh@bloorgroup.com @eric_kavanagh

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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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The Briefing Room

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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The Briefing Room

Analyst: Robin Bloor

Robin Bloor is Chief Analyst at The Bloor Group

robin.bloor@bloorgroup.com @robinbloor

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The Briefing Room

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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The Briefing Room

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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The Briefing Room

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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The Briefing Room

THANK YOU for your

ATTENTION!