Warning: Don't Assume Your Business Processes Use Master Data · ... Don't Assume Your...

Warning: Don't Assume Your Business Processes Use Master Data

Clay Richardson

September 15, 2010

Business process professionals must recognize data and

process as two sides of the same coin to drive effective

business transformation.

Survey of 2227 SMB and Enterprise IT decision makers

I heard this BPM thing might help us reduce

costs.

66%BPM

costs.

66%BPM

64%Open

Source

costs.

66%BPM

64%Open

Source40%SaaS

costs.

BPM adoption strongest in hardest hit sectors

Source: August 2010, “Forrester Wave™: Business Process Management Suites, Q3 2010” Forrester report

BPM programs face many critical challenges.

Building consensus and

adoption

Growing process skills

and roles

adoption

Growing process skills

and roles

Connecting process

improvement to data quality

Why don’t process professionals find data sexy?

Source: http://www1.pictures.gi.zimbio.com/Chanel+Cruise+2010+Fashion+Show+-Fcz3Iv1SeLl.jpg

Why do data management professionals overlook process context?

“Data is an IT problem” business

mentality

Leads to…

“If we build it, they will come” IT

mentality

Leads to…

Most teams fail to see the connection between BPM and MDM…

Source: September 2009, “Warning: Don’t Assume Your Business Processes Use Master Data” Forrester report

83%No interaction

Limited interaction 11%

83%No interaction

Limited interaction 11%

Coordinated 8%

… until it’s too late

Vicious cycle of process data

failure

1. Master data issues unaddressed or left unresolved

failure

2. Garbage in, garbage out creates process confusion

failure

3. Lack of process trust slows BPM momentum

failure

3. Lack of process trust slows BPM momentum

4. Data conflicts reinforce silo’d approach to process improvement

failure

MDM teams only focus on cleaning downstream data – after the fact.

Source: October 2009, “It's Time To Invest In Upstream Data Quality” Forrester report

What are the risks of not connecting data quality to process context?

Low quality data

Business Processes

Low quality data

Business Processes

Process intelligence and reporting

Low quality data

Business Processes

Low quality outcomes

Low quality data

Business Processes

High quality data

Low quality data

Business Processes

High quality data

Processes connected to master data

Low quality data

Business Processes

High quality data

Low quality data

Business Processes

High quality data

High qualityoutcomes

Process data management synchronizes efforts between BPM and MDM teams.

Process data management provides a safety net against process data failure.

Implement data governance

processes for cleansing

upstream data.

Implement data governance

processes for cleansing

upstream data.

Ownership for data quality

throughout all phases of

implementation.

IT stewards

Business-savvy Strong communicators

Educators across ITProcess architects

As IT stewards, data architects and process architects are critical to the success of data governance and process improvement efforts across multiple business initiatives.

Business stewards

IT-savvy Strong communicators

Educators across the business

Experienced business analysts and process analysts with the expertise to bridge business and IT communications often make the best business stewards.

Identify similar roles across BPM and MDM initiatives

No involvement Some involvement Full involvement

BusinessSteward

ITSteward

BusinessSteward

ITSteward

BusinessSteward

ITSteward

BusinessSteward

ITSteward

Prioritization and business case development

BusinessSteward

ITSteward

BusinessSteward

ITSteward

Requirements analysis

BusinessSteward

ITSteward

BusinessSteward

ITSteward

Business policies and standards

BusinessSteward

ITSteward

BusinessSteward

ITSteward

Define KPI’s and metrics

BusinessSteward

ITSteward

BusinessSteward

ITSteward

Technology selection

Define KPI’s and metrics

Governance

Scoping and Assessment

Requirements

Architecture and Solution

Monitoring

Define virtuous cycle of process data management

Is there accountability for data quality throughout the entire lifecycle?

Are we structuring and analyzing process data across internal silos?

Do process models show relationships to existing master data? Do data libraries show relationships to processes?

Is our data and application architecture supporting all information requirements use cases?

Is data quality measured and monitored for business processes?

Feedback

Process analysts should ask probing questions about data…

Data quality teams should map data operations back to key business processes

Software vendors still playing catch up on process data management…

August 2009 “Forrester TechRadar™ For BP&A Pros: Business Process Management Suites, Q3 2009”

Software vendors still playing catch up on process data management…

August 2009 “Forrester TechRadar™ For BP&A Pros: Business Process Management Suites, Q3 2009”

… but some vendors beginning to take process data seriously

IBM and Metastorm provide impressive business glossaries

Pega and Appian provide support for synchronizing data

First point of process data convergence: “business glossaries”

• Simplified data modeling and definition for process teams

• Connected to existing business glossaries defined by data architects and librarians

• Ability for process analysts to associate CRUD actions with specific activities

• But more needs to be done…

Source: IBM

Some vendors also embedding data quality metrics embedded into processes

Screenshot: Siperian BDD and Lombardi Teamworks Integration

Other BPM Trends To Watch

BPM is now the language of IT-to-BT

Vertical/ functional

Functional/process overlays

Process/functional overlays

Service/process organization

From traditional LOB and functional management

To Horizontal Centers of Excellence

Source: BPM Focus (www.bpmfocus.com)

Old School BPM Suites

Multiple disconnected process models for a single process project.

Unified process repository for single-model refinement.

Process repository

Business view

Process repository

Business view

Technical view

Process repository

Business view

Technical view

“Sync and

Merge”

Social adds new layer to BPM fabric

Define Execute MonitorCreate

Manage Optimize

Manage OptimizeSoc

Real-time,collaborative

discovery

Manage OptimizeSoc

discovery

Shareddevelopment

Manage OptimizeSoc

Ad-hoc anddynamic routing

discovery

Shareddevelopment

Manage OptimizeSoc

discovery

Shareddevelopment

Configurabledashboards, event

streams

Manage OptimizeSoc

Enhancement tagging,ad-hoc path analysis

discovery

Shareddevelopment

streams

Manage OptimizeSoc

Singlemodel

refinement

Enhancement tagging,ad-hoc path analysis

discovery

Shareddevelopment

streams

Many social BPM patterns emerging

Collaborative Discovery – Extending process discovery to include front-line business users and customers for bi-directional communication

Shared Development - Extending development to include business stakeholders and non-developers as equal partners in process development.

Process Guidance – Tapping internal and external social networks to provide users with real-time guidance on how best to complete a specific process step or activity.

Conclusions

Process improvement and data quality are intimately linked and must work hand-in-hand

Connect process governance and data governance to minimize the risk of process data failure

Review and synchronize key tasks and roles across process improvement and master data initiatives

Develop a shared business glossary across business process and master data teams

Thank you

Clay Richardson

+1 703.584.2630crichardson@forrester.com

www.forrester.comtwitter: @passion4process

Warning: Don't Assume Your Business Processes Use Master Data · ... Don't Assume Your...

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