1. Big Data Analytics and Innovation: Towards organizational disruption?
Yves Barlette – Montpellier Business School

2. Introduction Turbulent environment, increasing competition
Big Data: a data flood
BDA: Enhancing sensing capabilities
Keeping the pace: Responding & Innovating
“How and to what extent companies have to transform themselves to leverage the potential of BDA and keep this pace?”

3. I. BDA for value-creation and Innovation
I.1. Big Data and Value
Big Data: 5 “Vs”
Extracting value from Big data
Analytic tools: BDA (predictive – prescriptive)
Data analysts vs. Managers
Accessibility: Dataviz
Ex: LED bulbs, movies, micro-data
Digital options

4. I.2. BDA and Innovation BDA  Cause of turbulence BDA  Ambidexterity:
Exploration: dynamic capabilities  Sensing + ACAP
Exploitation: operational capabilities
Experimentation, Improvisation, Fast-failure: Innovation
How to exploit these new capabilities?

5. II. Towards organizational adaptation
II.1. Changes in relationships
Internal
Culture change: Failing is not a shame
Collaboration / Shadow IT
Between departments, IT – Business
New jobs: CDO
External
Blurring boundaries
Collaborative networks
New ecosystems

6. II.2. A new base for organizational speed
Closer to real-time
New challenge: fit with the new pace?
EVENT
AVA I
LAB L TY
Data
Available
Info
Available
Decision
Aided
Actual
Decision
Actions
Propose
Predict
Prescribe
Capture
Analyze
Decide
Plan
Create
Develop
Implement
SENSING
RESPONDING
Reaction Time
Exponential decrease of potential value creation
Exponential increase of probability that rivals react before

7. Increase the organizational speed
Decision making: closer to real-time ex: Dynamic digital unit
New forms of governance:
Lighter, Distributed & Centralized
From IT governance to Information governance
New physical environments
Example of hyper speed/agility

8. Conclusion BDA  Speed & Innovation opportunities
Culture change to favor ‘extreme’ innovation practices
Changes in culture, internal & external relationships
Increase of organizational speed to follow the accelerated pace of data generation and analytics
Hi-speed governance