and how next generation techniques will help you get there

Jon Asprey – Associate Partner – Banking & Financial Markets

Jon.asprey@uk.ibm.com

26 Sept 2016

Linking Information Governance to Business Value

IBM Spark

Agenda

2

Market focus

Institute for Business Value – Study

Linking to value – Example

The Future – next generation technology

» Fifth level

Market FocusInsights and observations

Digital Disruption Is Upon All of Us…

World’s Largest Accommodations Company

Owns No Real EstateWorld’s Largest Taxi Company

Owns No Vehicles

World’s Largest Retailer

Carries No InventoryWorld’s Largest Media Company

Creates No Content

4

Market focus – innovation & new competition driving focus on dataSource: 2015 IBM Institute for Business Value Chief Data Officer

Survey. IBM Institute for Business Value. 2015.

Meeting regulatory and compliance goals

Cost reduction & operational efficiency

Digital transformation

CDO teams increasingly tasked with innovation

& optimization

IBM Spark

Organizations are evolving their data and analytics approach to move up the maturity curve

Data Maturity

Valu

e

Operations Data

Warehousing

Line of Business

and Analytics

New Business

Imperatives

Most are here

Lower the Cost

of Storage

Warehouse

Modernization

• Data lake

• Data offload

• ETL offload

• Queryable archive

and staging

Data-informed Decision

Making

• Full dataset analysis

(no more sampling)

• Extract value from

non-relational data

• 360 view of all

enterprise data

• Exploratory analysis

and discovery

Business

Transformation

• Create new

business models

• Risk-aware

decision making

• Fight fraud and

counter threats

• Optimize

operations

• Attract, grow,

retain customers

Data Scientist Analyst App DeveloperData Engineer

6 06/09/10

7

Information access

Unstructured content

Scaling expertise

IBV Study - highlightsInformation Governance – The link to profitability

Institute for Business Value (IBV) study - overview

9

IBM’s IBV conducted a series of independent

surveys on information governance practices in

Jan 2016.

400 respondents

across industry

400 respondents

across industry

All answers self evaluatedAll answers

self evaluated

High profitability

firms profiled against others

High profitability

firms profiled against others

IBV study - Stewardship

10

Highest profitability firms have adequately resourced (or better) information governance – 83% vs. 49%

Highest profitability firms have adequately resourced (or better) information governance – 83% vs. 49%

IBV study – Dashboards & visibility

11

50% of firms have data quality scorecards widely utilized however this rises to 70% in the most profitable firms.

50% of firms have data quality scorecards widely utilized however this rises to 70% in the most profitable firms.

IBV study – Master data

12

Almost all of the high profitability firms (94%) have a developed and implemented MDM strategy, vs. 62% across all firms

Almost all of the high profitability firms (94%) have a developed and implemented MDM strategy, vs. 62% across all firms

IBV study – Critical data elements & standards

13

Almost 80% of the most profitable firms have data standards for critical data elements

Almost 80% of the most profitable firms have data standards for critical data elements

The link to valueAligning corporate KPIs to information governance efforts

Linking to value – Case study (Global recruitment firm)

Approach was to map out the data flows for key processes,

Data domain Originators Modifiers Responsible exec Data Steward (s) Consumers

Organisation Sales Sales, Finance Head of CRM Sales (super users) Sales, Marketing

Finance, Legal, BI/IT

Contact

Candidate

Product/service

Location

Then understand the stakeholders,

Stakeholder group for data domain

Will be subject to process change

Accountable for DQ improvements

& monitoring

Involved in agreeing data

standards

Task was to drive business buy-in and adoption for data governance and quality initiative.

Linking to value – Understand how and where benefits are felt

Culture change, cross functional buy-in needed

Senior cross functional sponsorship avoids “silos”

Carrot vs. stick base incentives

Sales owned IT owned Mixed usage

Data governance burden Data governance benefit

Benefit to DG participant

Benefit to others

The FutureHow next generation techniques will be applied

Next generation techniques and their applications

Graph database

Graph database

Open metadata

(Atlas)

Open metadata

(Atlas)

Robotics and Machine Learning

Robotics and Machine Learning

18

- Link analysis & relationships- Data usage mapping

- Automating triage and stewardship tasks

- Auto tagging & classification

- Driving self service access (shop for data)

- Governing the data lake

IBM is investing to build technological advances into its data management solutions

Where to find out more about what IBM is doing?

19

http://www.ibm.com/analytics/us/en/techn

ology/cloud-data-services/dataworks/

http://www.ibm.com/analytics/us/en/eve

nts/datafirst/

Questions and

Answers

© 2016 IBM Corporation20

Thank You!

© 2016 IBM Corporation21