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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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.