a new generation of business analyticsdocshare01.docshare.tips/files/26970/269700094.pdf ·...
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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 is confidential, 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
A New Generation of
Business Analytics
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We Live In A World Of 50%
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of the interest in and responsibility for
information and analytics coming from business leaders
Leadership
Market
of technology buying decisions will be made by
business, not IT
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Information
of data sources are external
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1. What Are The Dilemmas Facing Information and Analytics Leaders Today?
2. What Can We Do About It?
Key Issues
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3 Dilemmas
vs.
decentralized
uncertainty
sharing
centralized
certainty
protecting
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Bimodal IT Means You Have Two Modes of Operation
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Gartner
Predicts
45% of organizations already have bimodal 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 higherprocess 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 bank
• Improve credit line increases
• Hired a service provider to do POC as "gain share":
– Low upfront risk, cost
• Wildly successful
• Internal advanced analytics COE
You Can Operate in Stealth Mode
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Big Data Platform
Platform A
Functionality
Standards for data exchange
Cost
Platform B
Functionality
+200 standards for data exchange
Cost +10%
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You Do Need to Convince Your Toughest Skeptics
• U.S. trucking & logistics company
• Optimizing routingand scheduling
• Dispatchers weren't bought into the solution
• "Dispatch game"
• "Dispatch Analysts"
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© 2014 Gartner, Inc. and/or its affiliates. All rights reserved.
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 officers will not report to the CIO or other IT 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
On budget
Uptime
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Financial Goals
Student Engagement
Learning Outcomes
Research Excellence
Reduce Process Complexity
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Enrollment HR
Risk
Lots of Data
Operations
"Signals" in the Noise
Finance
CRM
Operational Tactical Strategic
Complex
Find the Opportunities to Make Better Predictions and Decisions
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BUY
OUTSOURCE
BUILD
via toolspackaged apps
service providers
1. Requires in-house skills
2. Analytics is differentiator
3. Agility & control are key
1. Best ease-of-use
2. Often "good enough"
3. Best time-to-solution
4. Little differentiation
1. In-house skills not avail
2. Packaged apps not avail
3. Give up IP for sake of speed
Build vs. Buy vs. Outsource
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Shifts in the market are giving rise to dilemmas facing IT leaders in information & analytics
– Centralization vs. decentralization – bimodal approach
– Uncertainty – experiment, options
– Share vs. protect – not about power but enablement, think about ethics
Focus on use cases, business problems, evangelize and get buy-in:
– Identify the stakeholders in your organization that need to be convinced of the value 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 business.
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 is confidential, 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!
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All 4 Types of Analytics Capabilities Ultimately Use Data to 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
Action
Decision Automation
Decision Support
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Three Core Skill Areas Are Needed
Data Science
ITSkills
BusinessSkills
Ask Good Questions
Decision Making
Transparent Versus"Black Box"
Which Analytics to Choose?
Data Exploration
High- PerformanceComputing
Build, Buy, Outsource
Feature Engineering
Know the Constraints(E.g., Legal, Ethics, Market)
Data Governance
Deployment
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Extend Your Portfolio of Analytics CapabilitiesLisa Kart and Others (G00254653)
An Eight-Question Decision Framework for Buying, Building and Outsourcing Data Science SolutionsAlexander Linden and Lisa Kart (G00258056)
Organizational Principles for Placing Advanced Analytics and Data Science TeamsAlexander 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 ScienceDouglas Laney and Lisa Kart (G00227058)
Recommended Gartner Research
For more information, stop by Gartner Research Zone.
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Recommended Gartner Research
• Predicts 2015: Power Shift in Business Intelligence & Analytics Will Fuel Disruption Josh Parenteau et al (G00270932)
• Bimodal IT: How to Be Digitally Agile Without Making a Mess Mary Mesaglio, Simon Mingay (G00268866)
• Redefine, Reorganise, Revamp and Rebrand Your BICC to Shift Focus to AnalyticsJosh Parenteau & Ehtisham Zaidi (G00270091)
• How To Be Agile With Business AnalyticsAlan Duncan, Alex Linden, Thomas Oestreich (G00270535)
For more information, stop by Gartner Research Zone.