Business Intelligence Summit Parthiv sheth · 2017-11-17 · Are You Ready for Analytics? “On...
Transcript of Business Intelligence Summit Parthiv sheth · 2017-11-17 · Are You Ready for Analytics? “On...
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Business Intelligence Summit
Parthiv sheth2014
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About Hyatt Hotels Corporation
55+ years young550+ hotels/resorts47 countries95,000+ associates10 premier brandsGold PassportPublicly held (NYSE: H)$4.2B in FY2013Hyatt.com
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Analytics mission
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Descriptive Analytics
• Reports• Dashboards
Diagnostics Analytics
• Drilldowns• Link to
transactions
Predictive Analytics
• Event analysis
• Forecasting
Prescriptive Analytics
• Modeling
What’s best that can happen?
What will happen?
Why it happened?What happened?
Evolution of Analytics
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How to get here?
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Data• Getting access is relatively easy
Analysis• Objective and rigorous analysis is difficult
Insights• Finding insights is hard
Action• Acting on insights to produce favorable outcomes is harder
Operations
• Operationalizing all of the above with consistency and continuous improvement is nearly impossible
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Data, Analysis & Insights Scale
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We saw We conquered
Analysis Insights
Access
Quality
Timely
Action
Operations
We came
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Winning Formula
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Org. Issues
Leaders
SiloesAssets
People
Process
People
Issues
Control
WIIFMSkills
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People & Organizational Issues
Easy
Tough
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Analytics Maturity
Leader
Culture
Structure
Incentive
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Ingredients
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CEO
Marketing CxO
Operations CxO
Finance CxO
Analytics CxO
Customers
Product
Service
...
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What Success Looks Like
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Tipping sacred cows
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Are You Ready?
Should IT Lead?
Data overload
?
Got Big Data?
Is Tech A Silver Bullet?
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What Do You Believe?
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Are You Ready for Analytics?
“On average, people should be more skeptical when they see numbers. They should be more willing to play around with the data themselves.” – Nate Silver• Analytics is sexy again! Consumerization of Analytics• Data and statistics literacy gap• Analytics revolution has to precede data democracy
Image source: cnn.com
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Engineers
Image source: Dilbert.com
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Should IT Lead an Analytics Program?
“Stop being engineers” – Dilbert’s pointy haired boss• Analytics ≠ Reporting & Data Warehousing• Analytics projects unlike IT projects – data, methods, scope.• IT is often a cost center, lacks strategic influence• HBR - “Why IT Fumbles Analytics” • Conflicts with core IT tenets• Engineers vs. Scientists
Image source: Dilbert.com
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IT
Business
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Suggestions for Alignment Conundrum• Put yourself in their shoes
• Market IT
• Understand Engineers vs. Scientists
• Transform from inside out to outside in
• Avoid new shiny object syndrome
• Cross-pollinate – people, training
• Adopt agile (iterative) vs. waterfall (linear)
• Done is better than perfect
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Can you have too much data?
“Not everything that can be counted counts and not everything that counts can be counted” – Albert Einstein
• Can possibly eliminate sampling issues.• Half-life of data. Add a new V – volatility• Tyranny of choice. Less is more• eDiscovery
Image source: Fotolia
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Got Big Data?
“Every day, three times per second, we produce the equivalent of the amount of data that the Library of Congress has in its entire print collection, right? But most of it is like cat videos on YouTube or 13-year-olds exchanging text messages about the next Twilight movie.” – Nate Silver• NASA exploration requires Petabytes, many analyses do not.• Requires a new mindset• Possible enabler, but not a strategy.
Image source: alleywatch.com
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Is Technology a Silver Bullet?
“The computer is a moron” – Peter Drucker
• If it is broke, tools alone will not fix it!• Data quality – garbage in, garbage out• Evaluation of new technologies:
– What will it tell you or let you do?– What can you do about it or with it?– How will it make you more profitable?
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People• Literacy• Skills• Incentives
Organization• Assets• Leadership• CAO/CDO
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Food For Thought“In God we trust, all others must bring data.” – W. Edwards Deming
“There are lies, damned lies, and statistics.” “Facts are stubborn, but statistics are pliable.” – Mark Twain
“It is not information overload. It's filter failure.” – Clay Shirky
“All models are wrong, but some are useful.” – George E. P. Box
"What's the use of having developed a science well enough to make predictions if, in the end, all we're willing to do is stand around and wait for them to come true.“ – Sherwood Rowland
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Questions?