Big Data is Nice, Activating Insights is BetterShifting from Insights Generation to Realizing Value from Data & Analytics

Hamilton M. Faris

Why Analytics?

Enhance

• Stay Competitive

Improve

• Solidify Competitive footing

Advantage

• Excel in a highly competitive landscape

Differentiation

• Distinguish competitive value

Disruption

• Change or create a new value proposition

time

value

… {lead}… {catch}

… {not get crushed by} the innovation wave

2

“Insights are not Actionable”

Insights require

Adoption

Adoption requires Change

Change requires

Management

Management requires Delivery

Delivery requires

Understanding

Understanding requires

Knowledge

Knowledge requires Insight

Predominant focus is on Insights Generation

Though, increasingly distracted by the

chase for technology (Machine Learning,

Artificial Intelligence, Robotics, etc.)

Fully embracing Analytics requires Shifting

from Insights Generation to Insights

Activation

Actioning Insights requires embedding

adoption, practice, and trust of data and

analytics as a business driver

Hindrances to Actioning Insights

Cultural

Organizational

Operational

Technical

Insights

Activation

3

Integrated Data & Analytics Life-Cycle

4

“Big Data Analytics”

“Big” Data

•Analysis of Massive Sets of Structured Unstructured, Semi-structured Data

“Big” Iron

•Ability to Handle and Process Many Large Data Sets and Operations Simultaneously

Insights Activation

•Rapidly Activate, Assess, Adjust, & Measure the Impact of Insights

Asset Management

•Industrialized Data Life-cycle Management to Consistently & Reliably Support Insights Discovery & Activation with Amplifying Efficacy

Value Realization

•Continually Realize Value from Data & Analytically Driven Insights & Capabilities

“Big” Math

•Power to Support Multi-Dimensional Complex and Parallelized Modeling

Continuously generate

actionable insights to

identify and realize

value via fact-based

decision making with

speed, agility, and

reliability

5

Overcoming the Hindrances -

Gain Vested Partnership

Establish Partnership

Inclusion Drives Ownership

Align & Demonstrate

Focus on Value & Viability

Activate & Learn

Test & Iterate

Collaboratively

• Transparency is Trust

• Collaborate to Discover

• Integrity through Delivery

• Manage to Sustain

• Engineer for Increasing Velocity

6

Framing the Opportunities

Applying a Portfolio Approach to Drive Investments & Priorities to understand value, effort, complexity, time, and cost

7

Value Realization Philosophy

Research, Exploration, & Discovery

•Gain understanding and knowledge to identify new opportunities

Experimentation & Validation

•Tests new insights and hypothesis through tracking & measurement of a specific opportunity

Opportunity Realization

•Rapid activation of data driven insights and opportunities into an experience and/or business domain

Sustaining Value

•Automating to continuously drive measurable outcomes for an opportunity within an experience and/or business domain

Value Acceleration & Scalability

•Optimizing to continuously compound opportunities, amplify outcomes and results across experiences and business domains

8

Each step is an iterative

progression of value

realization

Strategic Horizons for Data & Analytics

Horizon FocusStrategic Theme

Value Driver Outcomes

1

Streamline Data Collection,

Optimization, & Publication

EnhanceAccessible, Reliable, &

Trusted Data

• Rapid data onboarding, assessment, & prep

• Scalable Research & Discovery

• Continuous measurement & improvement

2 Value Realization AdvantageScaling &

Sustaining Insight

• Analytics is a tangible business driver

• Increasing Velocity from Insight to Activation

• Data driven Decision Activation framework

3Embedded Decision

ManagementDifferentiation

Best in Class Processes

• Data & Analytics are embedded in core operational decision making and support

• Compounding value across the Business Value Chain

9

The Operational Foundation

- People

Roles Competencies Processes Capabilities

Supporters

• Planning & Financial

Orientation

• Operational Discipline

• Communication

• Demand Management

• Portfolio Management

• Industrialization

• Governance & Prioritization

• Financial Tracking & Validation

• Measurement & Tracking

Drivers

• Strategy

• Execution

• Financial Acuity

• Strategic Visioning

• Change Management &

Delivery Focus

• Continuous Improvement

• Business Case Development

• Business Analysis & Process Design

• Program Delivery

Producers

• Quantitative Analysis

• Data Visualization

• Story Telling

• Research & Discovery

• Hypothesis Formation

• Insight Development

• Descriptive, Diagnostic,

Predictive, Prescriptive Analysis

Enablers

• Design & Architecture

• Solutioning

• Hacking

• Data & Insight Engineering

• Data Management, Profiling,

& Optimization

• Design

• Insight Activation

• Resolution

• Metrics

• Diversity of Experiences

• Strong Business Acumen

• High Awareness IQ

• Story Telling

• Process Orientation

• Critical & Systemic Thinking

• Adaptive to Lead or Follow

• “Relatably” Driven

10

Rethinking the Approach

Planning & Prioritization

Business Strategy & Advisory

Decision Sciences

Change Management

Architecture & Engineering

• Think about Realizing Outcomes, first

• Organize, structure and manage beyond generating

Insights

• Learn to Tell the Story

• Analytics needs to be spoken in the language of the

Business

• Technology is one Enabler

• Not all processes require a high technology solution

• Do the math to figure the $$$ - leverage low tech

and simple approaches to activate insights quickly

• An Operational perspective and discipline can

overcome many hurdles

11

The Road Ahead

• Redefine the how of data and analytics

• Align behaviors & talent accordingly

• Embrace Change Managers along with the “Quants“ & “Hackers”

Reset the Baseline

• Build trust & integrity through accountability

• Collaborate & operate transparentlyEmpower Partners

• Ingrain a culture of actionable insights generation

• Frame opportunities with value realization as the target

• Adopt a portfolio mindset; fact-based planning & prioritization

Focus on Value Realization

• Adopt a test and learn approach

• Continuous research requires disciplined measurement and support

• Low tech can be the best enabler

Rapidly Activate Insights

12

Thank you