Lean Mean Data Governance Machine Webinar Part 1

Be Certain, Be Trillium Certain

© Harte Hanks Trillium Software 2012

Lean Mean

Data Governance MachineKiran Gill, Senior Strategic Consultant

1


� Introduction

� What is Lean?

� What is Data Governance?

� Trillium’s 5 Data Governance Disciplines

� What is Lean Data Governance?

� Three Phase Lean

� Pre Lean activity

� The Hidden Factory

� Case Study:

� Waste Prevention – 5 Principles of Lean

Overview

2


Lean Data Governance

is ACTIONABLE

� Not a scrap and start again approach

� No need for workforce to be trained on LEAN

� Adopt what you need and Adapt how you see fit

� Does not have to be enterprise wide- apply to specific processes

in your remit

� Lean Data Governance is a way of thinking not a checkbox

approach

3© Harte Hanks Trillium Software 2012


What is Lean?

5. Seeks fast

flexible flow

1. “The

Machine that

changed the

World”

- James Womack, Daniel

Roos, and Daniel Jones in

1990

2. Developed

by the Japanese

automotive

industry, led by

Toyota

3. Create and

maximise value

through the

elimination and

prevention of

waste

4. Considers an

‘end to end’

value stream

4


Lean

Methodologies

5


What is Data

Governance?

2. Build the

structure,

culture,

ownership,

steering

groups,

stewardship

4. Tools and

technology

need to assist

governance

agenda. Data

dictionaries and

data flow

5. Overall

governance of

data eliminates

error and

promotes

efficiency

1. Framework

for effective

management of

data and

processes

3. Information

should be

mapped, and

supported with

policies and

procedures

6



What is

LEAN Data

Governance?5. Convergence

of 7 wastes, 5

Lean Principles

and 5 Data

Governance

Disciplines

1. Focus on the

Internal data

Customer

4. Delivery of

flexible,

perfected,

value added

outputs to the

internal

customers.

2. Optimisation

of Classic

Governance

using Lean

Principles

3. Minimise,

eliminate and

prevent waste

in Data

Management

8


Three Phase Lean

9


The Hidden Factory:

�Visible areas but activity is hidden or not understood

�Money, time and resource waste

�Hinders growth, efficiency and transparency

�Multiple hidden factories exist within business

� Lean Data Governance feeds the process of identification

�Data and the processes it feeds help identify areas of waste for

Enterprise Lean Implementation


Lean Data Governance

Case Study: Luxury Fashion label

�Existence of some governance processes – no definition

�Data from multiple sources

�Many risks as a result of bad practice

�No ownership or awareness

�Working in silos

�Wastage occurring across the enterprise


Lean Data Governance - Waste Prevention

5 Principles of Lean

Create Pull

-Demand and supply

-Production when

not required

Specify Value as

seen by the Customer

-Marketing – Speed

and currency

-Risk – Accuracy

-Stores: Real time

-Analytics -

Accessibility

Identify and Create Value

Streams

-Map flow of data,

materials and

information

-Identify bottlenecks

Make the Value flow

from source to Customer

-Deliver value using

minimal stages and

breaks

Strive for Perfection –Continuous

Improvement

-Continuously

remove root causes

of poor quality.

Goal of Zero

defects

12

Be Certain, Be Trillium Certain


Questions?

Suggested further reading:Trillium White Paper: “Lean Mean Data Governance” Machine:

Available soon at http://www.trilliumsoftware.com/

To learn more about Lean: http://www.lean.org/

Contact: [email protected]

13

Technology

Lean Mean Data Governance Machine Webinar Part 1