présentation forrester - forum mdm micropole 2014

MDM Trends for Micropole

October, 2014

Henry Peyret, Principal Analyst

© 2013 Forrester Research, Inc. Reproduction Prohibited 2

Agenda

› Sitting In The Perfect Storm – Age of the Customer

› Today's Data Ecosystem Has Big Implications for MDM Relevancy

› It’s Not MDM for Big Data; It’s MDM for All Data

› MDM Innovations Are Coming – Prepare For Data Citizenship


Sitting in the perfect storm

Age of the Customer


Transform

the customer

experience.

Embrace

the mobile

mind shift.

Become

a digital

disruptor.

Age of the

customer

Turn big data

into business

insights.

Forrester’s four market imperatives are motivating new integration scenarios


Traditional linear value chain

True business innovation derives from the dynamic ecosystems of value

Dynamic ecosystems of value


Customer experience is enabled by the context between systems of engagement and systems of record


Today's Ecosystem Has Big

Implications for MDM Relevancy

Trusted data is a core value


MDM – the Master of Context and Variety

Mapping

› Integration hub

›Data dictionaries

›Data syntax

›Data parsing

›Data matching

› Lineage

›Structured

›Rigid

Mastering

› Information Hub

›Data linkage

›Semantic model

›Profiles

›Navigation

›Structured, unstructured,

semi structured

›Agile


The importance of data governance is understood . . .

“How important do you rate the following aspects of an

information governance strategy?”

Base: 452 North American technology decision-makers; Source: Business Technographics® Global Data And Analytics

Survey, 2014

Note: Respondents answering “don’t know” are not shown.

19%

17%

22%

34%

35%

37%

40%

41%

39%

20%

28%

8%

11%

12%

16%

18%

25%

26%

27%

31%

63%

58%

Third-party data purchases

Outsourced data management and quality service

Consulting services for data governance

Reference data management

Data profiling

Data life-cycle management

Data governance management tools

Standardization and metadata management

Master data management

Data security and privacy

Data quality

4 5 = very important

Sixty-two

percent

to 86%

under-

stand the

impor-

tance of

data

gover-

nance.



tool

Data quality

tool

Data profiling

Metadata tool

. . . which drives MDM adoption as a solution versus a tool

Up to three-fourths of all MDM

solutions have a cross-sell

with data quality tooling.


“To what extent has your firm implemented the following aspects

of information governance?”

8%

6%

11%

9%

4%

21%

16%

18%

16%

12%

19%

20%

21%

22%

11%

12%

10%

11%

11%

12%

32%

32%

25%

24%

56%

Information/data quality



Information life-cycle management


Individual project level Department Business unit

Subsidiary/company Cross-enterprise/corporate level


Survey, 2014


. . . but data governance implementation is fragmented

Only data security and privacy are implemented cross-enterprise.


29%

28%

31%

30%

32%

24%

30%

28%

26%

22%

23%

23%

18%

11%

17%

13%

25%

12%

22%

12%

13%

17%

8%

8%

6%

8%

6%

10%

6%

7%

6%

5%

4%

7%

6%

3%

4%

6%

8%

4%

4%

5%

4%

6%

3%

3%

2%

3%

2%

7%

1%

4%

1%

2%

1%

2%

1%

1%

1%

1%

2%

1%

1%

1%

3%

1%

1%

1%

Data quality


Data profiling


Data life-cycle management


Reference data management

Data governance management tools

Third-party data purchases

Outsourced data management and quality services

Consulting services for data governance

Less than $100,000 $100,000 to $500,000 $500,000 to $1 million $1 million to $2.5 million

$2.5 million to $5 million $5 million to $10 million More than $10 million

Base: 452 North American technology decision-makers; Source: Business Technographics® Global Data And Analytics Survey, 2014


. . . and lacks investment except for security and privacy “When considering data governance for all of your BI and analytics initiatives, what is the level

of annual investment for the following data governance capabilities companywide?”

Companies invest approximately 5x more in data security as compared to any other governance area.


6% 18%

6%

48%

17% 6%

18%

9%

53%

10% 8%

15%

8%

48%

11%

Sales/marketing Department of thechief data officer

Finance IT department Other department

Data quality


Data modeling


Survey, 2014


Strategic

Tactical

IT still owns much of data governance, but the shift toward CDO role is evident

“Which organizational unit currently has primary ownership of

the following tasks or responsibility areas?”


It’s Not MDM for Big Data; It’s MDM

for All Data

Modern data strategies causing orgs to re-assess MDM


Systems of record host

transactions in the

virtual world.

Systems of engagement guide

people in their physical world.

Context between systems of engagement and systems of record is the key integration challenge

Source: November 16, 2012, “Great Mobile Experiences Are Built On Systems Of Engagement” Forrester report


2011 to 2014: MDM shifts from recipes to charting new paths › MDM shifts from program to strategy.

• 32% of inquires seek ways to evolve MDM as they evolve their overall

data strategies. That represents a two-fold increase from 2011.

› MDM strategy replaced by data governance in priority.

• 75% MDM inquiry reduction between 2011 and 2014. The back-story

is that data governance inquiries are taking on an enterprise

perspective.

› Ownership and interest shifting toward business stakeholders.

• 77% of technology management decision makers feel they own MDM

• 54% of business decision makers agree.

• 23% gap indicates that business decision makers are beginning to

consider MDM under their purview. .

© 2014 Forrester Research, Inc. Reproduction Prohibited

Data Governance Of Today And Tomorrow

February 2014 “Data Governance Archetypes Shape The Focus And Fate Of Your Business”

© 2014 Forrester Research, Inc. Reproduction Prohibited

…Driven by distinct Data Governance Archetypes That Match Business Outcomes And Data Types

February 2014 “Data Governance Archetypes Shape The Focus And Fate Of Your Business”

The Citizen - Personal Responsibility

Focus

• Collaborative

governance

• Accountable roles

• Contributor to data

evolution

• Coordinated controls

Fate

• Ideation

• Personal responsibility

• Agile governance


MDM Innovations Are Coming

Prepare for Data Citizenship


Semantic MDM › Contextually visualize and navigate the graph

Semantic MDM Building context


Analytical MDM Analytical MDM

Building Knowledge


Social governance

Social Governance Building Data Citizens


Business application

Business Application Building Bridges


Intelligent MDM

Intelligent MDM Is In Your Future Inferring context


Key Take-Aways


Key Take Aways

› Do not equate focused MDM implementation with an MDM silo

› Hybrid ecosystems will require mastering data variety

› Include semantic development skills when implementing MDM

› Support developers, data stewards, and business culture during implementation

› Building MDM without data quality, data definitions, and data profiling will lead to failure

Thank you

Henry Peyret, Principal Analyst

[email protected]

présentation forrester - forum mdm micropole 2014

Data & Analytics

big data

data citizenship

data mdm innovations

forrester research

importance of data governance

data quality tooling

mdm relevancy trusted

data governance