This document summarizes a presentation on transforming companies into insights-driven enterprises. It discusses how most companies are currently data-driven but struggle to consistently turn data into effective actions. An insights-driven approach involves building multidisciplinary insights teams, establishing good data governance foundations, and combining the right tools and processes into systems of insight. Data virtualization is highlighted as a key technology enabler for systems of insight by providing agile data access and logical abstraction across structured and unstructured data sources. Examples are provided of how data virtualization has helped customers achieve single customer views and build logical data warehouses.
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Data-Driven is Passé: Transform Into An Insights-Driven Enterprise
1. Dr. Holger Kisker
VP & Research Director, Forrester Research
Data-Driven is Passé: Transform Into
An Insights-Driven Enterprise
Dr. Anastasio Molano
Senior VP, Strategic Technical Office, Denodo
Nov 19, 2015
11. Stitch Fix embeds insights into
everything
Stitch Fix has embedded insights-to-
execution in their operating model
A Chief Algorithmics Officer drives the
insights process and strategy
Stitch Fix is in a constant state of controlled
experimentation.
The result: better customer experiences . . .
. . . And half the inventory carrying costs of
other online fashion retailers
15. Consider how Tesla’s creates an insight
drive experience
• Improve CX by fixing
problems before they
happen.
• Team works together
to turn data into
action.
• Insights services let
engineers find and
test insights.
• Developers
implement insights
firmware (create
action).
Pipeline
Insights services
Engineers Firmware
developers
Data
scientists
Data
engineers
18. A system of insight is an operating model:
people, process, & technology working
together
All Data Possible
Actions
Insights-to-execution
process
Insights team
Digital insights
architecture
Right
data
Effective
actions
Source: April 27, 2015, “Digital Insight Is The New Currency Of Business” Forrester report
23. Data governance organizations must define and
optimize operational processes
Information
Security
Information
Standardization
Information
Quality
Information
Life Cycle
24. Governance Recommendations
1. Accept the fact that process improvement and data
governance are intimately linked and must work hand-in-
hand.
2. Involve executive sponsorship and support from IT and LoB
(align business process and data stewards).
3. Evangelize the benefits of data governance in the language
of the business, it’s NOT about the data.
4. Tackle data governance in a phased approach.
5. Establish a consistent approach and continuous
improvement process for all elements of data governance.
6. Make data governance your default approach to all process
and data related initiatives.