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Page 1: Copyright © Meta5, Inc. All Rights Reserved 1 Big Data in the Big Apple Emerging Importance of the Power Data Analyst June 13 th 2014 Jim Kanzler – CEO

Copyright © Meta5, Inc. All Rights Reserved 1

Big Data in the Big AppleEmerging Importance of the Power Data Analyst

June 13th 2014

Jim Kanzler – CEO Meta5

Page 2: Copyright © Meta5, Inc. All Rights Reserved 1 Big Data in the Big Apple Emerging Importance of the Power Data Analyst June 13 th 2014 Jim Kanzler – CEO

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Introduction

Jim Kanzler – CEO Meta5

Meta5 Core Technology Developed by ex-Xerox Parc employeesOver $100 Million in development effort

has gone into our technology to date

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Some Classes of BI Users Report consumers / managers

Report Analysts

Report Developers

They all do great useful work, no question

And then? There are “Power Data Analysts”

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Example; Power Data Analyst

Data analyst creates Competitive Briefing Book

Used in Quarterly Board Meetings

Just gets the job done, no excuses

Page 5: Copyright © Meta5, Inc. All Rights Reserved 1 Big Data in the Big Apple Emerging Importance of the Power Data Analyst June 13 th 2014 Jim Kanzler – CEO

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Who is the Power Data Analyst

Very knowledgeable about the business

Influencer, attends important meetings

Typically and Excel expert / maybe small DB too

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Management Decision Making Process

How’s Business? (1)

Why? (2)What if? (3)

Invest $$$ (4)

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How are New Projects StartedHow are New Projects Started

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Battle Between IT and Bus UsersBattle Between IT and Bus Users

Battle of the TitansBattle of the Titans

Conflicting concernsConflicting concerns

Business UsersBusiness Users - Need it now - Need it now

ITIT - Application Control - Application Control

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Where are we today?

Perceived Value of Data + Apps

Governance

Level

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What is the impact of “Big Data” Definition of “Big Data”

Volume, Velocity, Variety, Veracity From Wikipedia.

In 2012, Gartner updated its definition as follows: “Big data is high volume, high velocity, and/or high variety information assets that require new forms of processing to enable enhanced decision making, insight discovery and process optimization." Additionally, a new V “Veracity” is added by some organizations to describe it.”

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Why is it getting Worse?

For DW each new data source requires:

This takes time, money and IT people

Growing and Growing…

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Ok Jim

Good Problem Definition

Your Proposed Solution?

04/21/23

Page 13: Copyright © Meta5, Inc. All Rights Reserved 1 Big Data in the Big Apple Emerging Importance of the Power Data Analyst June 13 th 2014 Jim Kanzler – CEO

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A New Way

Support Middle Tier operations

Skunk Works

Quick Agile

Combine Business and IT

Land of Power Data Analyst

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Role it Plays Test new Ideas Quickly

Reduce the Governance

Get to some meaning new Results Quickly

Alleviate Bottle Neck of IT

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Why Have an “Idea Factory”?

So your business will improve

It could be the difference between success and failure

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What are the outcomes?What are the outcomes? What are the results of this type of Agile, quick response What are the results of this type of Agile, quick response

environment, should all projects start here?environment, should all projects start here?

Ends up being a big project out of control more people using it!Ends up being a big project out of control more people using it! That is GREAT! That is GREAT! Now we have vetted the scope and requirements Now we have vetted the scope and requirements Real business input and iterations happen here. Real business input and iterations happen here.

Value of data and or project not as big a deal as we thought.Value of data and or project not as big a deal as we thought. That’s GREAT! That’s GREAT! Keep it there, its working limited in use and cost Keep it there, its working limited in use and cost

Project was a dudProject was a dud That’s GREAT! That’s GREAT! We saved a lot of money not trying to do this on a large scale We saved a lot of money not trying to do this on a large scale

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Benefits of Idea FactoryBenefits of Idea Factory

Quick turn around of ideasQuick turn around of ideas Cost effective ways to cull out the variety of Big DataCost effective ways to cull out the variety of Big Data IT Backlog reduced.IT Backlog reduced. Sets proper expectations to users regarding governance, Sets proper expectations to users regarding governance,

accuracy and speed of performanceaccuracy and speed of performance Gets immediate value from ideas and information, instead of Gets immediate value from ideas and information, instead of

waitingwaiting Quick response to new business opportunities or problemsQuick response to new business opportunities or problems

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Tools for New Way Ad hoc data analysis of new data No or little need to write code Access to Data Warehouse

All existing Data warehouse data to be easily available Including Unstructured/Complex data, Hadoop, XML, text etc

Ability to integrate point applications in re-runnable fashion So many tools are available: Need Business Intelligence Integration

Ability to be semi production environment A working sandbox, working prototype, “good enough”

A learning based environment All work should be easily leveraged by interested parties We should not forget what did not work and why

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Features for New Way SPEED of getting results MS Office Integration

It is time for IT to embrace Excel/Word inside BIDownloading to Excel/Word is not “integration”

MS Office AutomationRemember the Competitive Briefing Book?A month of work converted to an app in 6 hours?No macros, no links, none of the usual Excel problemsNeed Excel Automation without the problems of Excel

Ad Hoc Data Integration/ETLAgile development of “ETL” without using the DW ETL toolsPDAs must have Ad Hoc ETL minus “cutting and pasting

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Example Briefing BookExample Briefing Book

Power Data Analyst complains in earshot of a Meta5 user Meta5 user replicates this work as an app in 6 hours Briefing Bk create time goes from 1 month to 2 hours Board gets a three month decision cycle advantage Meta5 user requested to attend board meetings

Given 5 minutes to answer any question raised. Success rate is 95%.Really supports the goal of delivering value to the Management Really supports the goal of delivering value to the Management

Decision ProcessDecision Process

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But I can do that already Really? Probably can, but time is critical Sounds like 1990 all over again But who has heard of:

Replacing a months excel work with an app in 6 hours?Being able to rerun that work quarterly in a few hours?Moving the board meeting up a month?

Thereby giving your company a competitive advantage?Answering Board Member questions in 5 minutes 95% of the time?

Project Sponsor Business Requirements“I want the answer to any question I ask before I forgot why I asked

the question. And no, I don’t know what questions I will ask.”“If I finish my coffee before I get the answer? That’s too long!”

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Sobering Lessons What happens when you run out of good ideas? What happens if you can’t do the MDMP

fast enough?Ask GM, Ford, Crysler, Xerox, Kodak Ask IBM, Fanny May, Freddie Mac

What happens when you have lots of good ideas and you can execute on them?

Ask Apple, Google, Facebook, Oracle, SAP, MSFT, Samsung, Acer Good ideas + rapid MDMP = Business Success Where do you get “reliable inspiration”? How do you make MDMP rapid?

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Increasing Importance of PDA Competition is becoming more information based

As opposed to product based Competition cycles are getting faster Product advantage is quickly eroded

iPhone vs Galaxy, HTC et al Customer touch points/channels are exploding

Google, Facebook, Twitter and other social networks Phone, email, website, even catalogues

Immediate response to situations can reap huge rewards Data volume, complexity, variety are increasing

Longer learning curves to master data in a company There is a better way, a new way “Idea Factory” of PDAs will be a competitive advantage

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The Better Way Remain focused on the goal: Speed of MDMP Attack Big Data problems from the

middle tier Use tools to enable Agile Big Data Invest to generate new ideas via “Idea Factory” Staff “Idea Factory” with PDAs from both Business & IT

Make the search for new ideas a real partnership Reward people for new ideas when they work

Both social and financial rewards “Think different” Most great ideas seem crazy at first!

Page 25: Copyright © Meta5, Inc. All Rights Reserved 1 Big Data in the Big Apple Emerging Importance of the Power Data Analyst June 13 th 2014 Jim Kanzler – CEO

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Summary and ConclusionsSummary and Conclusions Recognize that there is a growing “mid tier” for data+apps You need to find a better way to keep up, the old way is just not You need to find a better way to keep up, the old way is just not

workingworking Big Data will give us a 10x variety problem

The variety of data has been exploding, it is not slowing up Big Data is a game changer, either learn to understand it, and Big Data is a game changer, either learn to understand it, and

evaluate it or someone else willevaluate it or someone else will Support your Power Data AnalystSupport your Power Data Analyst Include both business and IT you both have a lot to gain from thisInclude both business and IT you both have a lot to gain from this Change your corporate culture to mandate thisChange your corporate culture to mandate this Get the proper tools to support this group, just like 1990 they are Get the proper tools to support this group, just like 1990 they are

out thereout there

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Thank You For Your Time

Emerging Importance of the Power Data AnalystJune 13th 2014

Jim Kanzler – CEO Meta5