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Lisa Kart
@Kart_Lisa
A New Generation of
Business Analytics
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We Live In A World Of 50%
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of the interest inand responsibility for
information and analytics
coming from business leaders
Leader
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Market
of technologydecisions will be m
business
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Information
of data soare ex
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1. What Are The Dilemmas Facing Information and A
Leaders Today?
2. What Can We Do About It?
Key Issues
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3 Dilemmas
vs.
decentra
uncerta
sharin
centralized
certainty
protecting
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Bimodal IT Means You Have Two Modes of Oper
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Gartner Predicts
45% of organizations already havebimodal capability
By 2017, this will grow to 75%
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You Don't Need a Lot of Resources
• 100 year old manufacturing company
•2 data science interns
• Exploration of the data
• Found 13 factors to drivelower cost and higher process efficiency
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Decisions Under Uncertainty
•
Collect more information• Try to change the initiative
• Delay the decision
• Try to avoid the situation altogether
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• Large North American
•
Improve credit line incr• Hired a service provide
POC as "gain share":
– Low upfront risk, cost
•
Wildly successful• Internal advanced ana
You Can Operate in Stealth Mode
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Big Data Platform
Platform A
Functionality
Standards fordata exchange
Cost
Platform B
Functionality
+200 standards fordata exchange
Cost +10%
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You Do Need to Convince Your Toughest Skepti
• U.S. trucking & logisticscompany
• Optimizing routingand scheduling
• Dispatchers weren't boughtinto the solution
• "Dispatch game"
• "Dispatch Analysts"
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Trust18
Consent
Intent
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Ownership Stewardship
Control Curation
Securing Sharing
Governance Enablement
Legalities Ethics
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Gartner Predicts
More than 75% of chief data officewill not report to the CIO or other leader.
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Change the way we
measure and manage
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Spending less on technology
and services from IT
Ontime
Onbudget
Uptime
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Financial Goa
StudentEngagement
LearningOutcomes
ResearcExcellen
Reduce Process
Complexity
Fi d th O t iti t M k B tt P di ti
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Enrollment HR
Risk
Lots of Data
Operations
"Signals" in the Noise
Financ
CRM
Operational Tactical Strategic
Complex
Find the Opportunities to Make Better PredictionDecisions
B ild B O t
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BUY
OUTSOURCE
BUILD
via tools
packaged apps
service providers
1. Requires in-house skills
2. Analytics is differentiator
3. Agility & control are key
1. Best ease-of-us
2. Often "good en
3. Best time-to-so
4. Little differentia
1. In-house skills not avail
2. Packaged apps not avail
3. Give up IP for sake of speed
Build vs. Buy vs. Outsource
Ke Takea a s
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Shifts in the market are giving rise to dilemmas facing IT leadinformation & analytics
– Centralization vs. decentralization – bimodal approach – Uncertainty – experiment, options
– Share vs. protect – not about power but enablement, think about eth
Focus on use cases, business problems, evangelize and get
– Identify the stakeholders in your organization that need to be convin
of analytics
– Choose quick wins or high impact
– You can get started with limited resources
This is an enterprise issue. Plan your alliance with the busin
Key Takeaways
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CONFIDENTIAL AND PROPRIETARYThis presentation, including any supporting materials, is owned by Gartner, Inc. and/or its affiliates and is for the sole use of the intended Gartner audience or other intended recipients. This presentation may contain information that isconfidential, proprietary or otherwise legally protected, and it may not be further copied, distributed or publicly displayed without the express written permission of Gartner, Inc. or its affiliates. © 2015 Gartner, Inc. and/or its affiliates.
All rights reserved.
Lisa Kart
@Kart_Lisa
Thank you!
All 4 Types of Analytics Capabilities Ultimately U
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All 4 Types of Analytics Capabilities Ultimately Uto Drive Insights and Better Decisions
Human Input
Data DecisionPredictive
What Will Happen?
Diagnostic
Why Did It Happen?
Descriptive
What Happened?
Prescriptive
What Should I Do?
Analysis
Decision Automation
Decision Support
Three Core Skill Areas Are Needed
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Three Core Skill Areas Are Needed
DataScience
ITSkills
BusinessSkills
Ask Good Questions
Decision MakingTransparent Versus
"Black Box"
Which Anal
Data Exploration
High- PerformanceComputing
Build, Buy, Outsource
Feature En
Know the Constraints(E.g., Legal, Ethics, Marke
Data Governance
Deployment
Recommended Gartner Research
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Extend Your Portfolio of Analytics CapabilitiesLisa Kart and Others (G00254653)
An Eight-Question Decision Framework for Buying, Building Outsourcing Data Science Solutions
Alexander Linden and Lisa Kart (G00258056)
Organizational Principles for Placing Advanced Analytics andScience Teams
Alexander Linden and Others (G00255555)
Magic Quadrant for Advanced Analytics PlatformsGareth Herschel and Others (G00270612)
Emerging Role of the Data Scientist and the Art of Data ScienDouglas Laney and Lisa Kart (G00227058)
Recommended Gartner Research
For more information, stop by Gartner Research Zone.
Recommended Gartner Research
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Recommended Gartner Research
• Predicts 2015: Power Shift in Business Intelligence & AnaWill Fuel DisruptionJosh Parenteau et al (G00270932)
• Bimodal IT: How to Be Digitally Agile Without Making a MeMary Mesaglio, Simon Mingay (G00268866)
• Redefine, Reorganise, Revamp and Rebrand Your BICC toFocus to AnalyticsJosh Parenteau & Ehtisham Zaidi (G00270091)
• How To Be Agile With Business Analytics Alan Duncan, Alex Linden, Thomas Oestreich (G00270535)
For more information, stop by Gartner Research Zone.