Managing Data Stewards

The extent to which rules can be used to resolve the conflicts and ambiguities arising from inconsistent and incomplete data is limited. At some point it becomes necessary to turn to data stewards to apply human reasoning and additional insight to the data. There are many factors that determine the amount of work required by data stewards, but in some cases the workload can be significant. In this article, we discuss some of the important considerations when planning and managing a large data stewarding effort.

By Martin Dunn

Data

Governance

[wd_hustle id=’Social’ type=’social_sharing’/]

Short Sprints

Breaking down a large number of data stewarding events into smaller groups makes it easier to create and maintain enthusiasm within the data steward team. Just as it’s easier to convince someone to run a quarter mile than a full marathon, data stewards will more readily tackle a series of small groups of records than one long list.

Even in situations where there is a backlog of tens of thousands of data stewarding events, breaking these into smaller groups of a few hundred records allows each steward the satisfaction of starting and finishing a set of records several times a day.

 

Communicate Policy Clearly

Data stewards are called upon to review situations that cannot be resolved by rules which typically imply that these situations are complex or ambiguous. A downside to human intervention is that people are less consistent than computers and this inconsistency is exaggerated in these complex/ ambiguous situations if the policy for managing these situations is at all unclear.

It is really important that the way data stewards handle their workflows is clearly documented and communicated to all stewards.

 

Suspense Queue

There will be situations where the data steward does not have enough information to make a decision. Providing some mechanism to move these records out of their queue allows the steward to continue to make forward progress and does not skew the time-per-record statistics that are so important to managing the stewarding process. Another advantage of a “suspense queue” is that these records can be more thoroughly analyzed to determine why they are more difficult to resolve.

 

Screen Design for Efficiency

User-friendly screens do not imply pleasing-to-the-eye designs but rather efficient-to-the-hands layouts. Your design must optimize the number of key strokes required for any action and certainly minimize the amount of mouse movements which are time consuming.

Data stewards need to assess the data on the screen and action their decision with minimal fuss. Stewards will not thank you for elaborate fold-out lists and pop up information boxes no matter how pleasing the design.

 

Gather Feedback

Data stewards are the best people to comment on the efficiency of MDM rules and they should be encouraged to provide feedback to the data management team. When a steward has to resolve the same situation in the data time and time again they will quickly identify the patterns and can provide use cases to the data management team for further investigation. Sometimes simply adding additional cleansing rules may help resolve hundreds of administrative hours per year.

 

Quality Assurance

Data stewards are often the last line of defense for enterprise data quality. There is no safety net for many decisions entrusted to data stewards and therefore it is important to have a solid quality program in place. A mistake made by a data steward will typically only surface as an error in some downstream process. It is worthwhile tracing these data errors back through the MDM process to the data steward. Data stewarding decisions should be traceable to individual stewards as poorly trained or careless stewards will quickly show a deviation from the mean error rate.

In our experience data stewards produce an error rate of much less than 1% of the decisions they make. Poorly trained or careless stewards will typically show a far higher error rate and therefore they can be easily identified and corrected.

Summary

 

Data stewarding is a mundane administrative task that adds time and cost to any MDM initiative. However, it is unavoidable in many circumstances and building a trustworthy, efficient data stewarding process is a key success factor for sustainable data quality. Data stewards provide a key role in the MDM lifecycle and their role should be given the time and attention that it deserves.

Martin Dunn

Author

Martin Dunn was the co-founder of Delos Technology which developed the MDM technology marketed under the Siperian brand. The Delos MDM technology introduced many MDM concepts that are now widespread within the MDM discipline including a data steward console to adjudicate match results, opt-in synchronization, cell level delta detection and the concept of measuring trust.

Martin is now a partner with Gaine Solutions and continues to advance the techniques by which enterprise Master Data is managed.

Related Posts

Opt-in Synchronization

Opt-in SynchronizationNot all operational systems will choose to, or be able to, consume the changes made to master data in an MDM hub. The reasons for being out-of-synchronization may be technical, regulatory, political or economic but at some point it will be...

Changing a Match Rule

Changing a Match RuleWhen we are talking to companies about our MDM platform we cover a broad range of topics, from measuring ROI, to more technical questions about the way the software operates. A common technical question is "How do we change a match rule?" Our...

Ready to master data mastering?

Subscribe to our mailing list and we’ll send you courses, insights, product updates, and more. Get to know the ins-and-outs of your Gaine MDX platform, features, and solutions.

[wd_hustle id=”SimpleSubscribe” type=”embedded”/]

Gaine Solutions

Gaine helps leading healthcare organizations, life sciences, and biotech companies leverage information as they strive for competitive advantage and operational efficiency. Our Coperor™ platform arms our clients with Information Agility™ which maximizes flexibility, minimizes cost and time-to-value, and eliminates the risks associated with implementing new systems, migrating existing systems, and integrating data from internal and external sources.

FOLLOW US ON LINKEDIN  

30%

Average Reduction in Time

TIME  

40%

Average Cost Reduction

COST  

100%

Rate of Project Success

RISK  

 

Specialization Healthcare and Life Sciences

EXPERIENCE  

News and Recommended Reading

EXPLORE MORE ARTICLES  

 

The Journey to Interoperability Starts with Coperor Core Services.

Coperor redefines system interoperability, combining the best of master data management, operational data store, data governance, and harmonization technology into a single platform.

 

 

  • MDM Stack
  • Enterprise Sync
  • Policy Repository
  • Data Stewarding
  • Real-time Services
  • Notification Engine

 

 

  • Third-party Gateway
  • Extended Support
  • ODS Integration
  • Audit Manager
  • SFDC Toolkit
  • Implementation Services
NEW WHITEPAPER

Understanding the Provider Data Management Lifecycle

Learn how traditional provider data management methods are costing your healthcare organization in a big way and what to look for in a modern provider data management solution.

Subscribe below to receive the PMD Lifecycle Whitepaper in your inbox, instantly. 

Get the Whitepaper

Gaine Solutions, Inc.

3889 Long St.
San Luis Obispo, CA 93401
(888) 403-1301
sales@gainesolutions.com
Already a Gaine client and need support with a product or solution?

9 + 1 =

Patient Master

Fast implementation, purpose-built industry applications, and scalability from start-up to Fortune 100.

  • Master Data Management
  • Data Governance
  • Enterprise Master Patient Index(EMPI)
  • Third Party Data Integration
  • Industry Model for Patient Data
  • Seamless Integration with CRM

.

EXPLORE THIS SOLUTION  

Data Migration Toolkit

Gaine’s Coperor platform acts as your information broker when moving from old to new systems, merging systems, or integrating with new applications. It sits between your legacy systems and your new platform to ensure that changes made in any system are synchronized according to your business rules — no lost data, no duplication, and no re-keying.

.

EXPLORE THIS SOLUTION  

Patient Master

Build a rich member profile with advanced identity management, demographics, and social determinants.

  • Member Outreach
  • Extended Member Profile
  • Population Health Data Store
  • Enrollment Management

.

EXPLORE THIS SOLUTION  

Provider Master

Gaine’s Provider Data Management suite drastically improves data quality and reduces overhead for Payers and Providers alike.

  • Provider Directory
  • Attestation
  • Roster Transformation for Provider Groups
  • Enterprise Sync
  • Reference Data Gateway
  • Data Quality Services

.EXPLORE THIS SOLUTION  

 

New! Lexis Nexis Risk Solutions Integration

LexisNexis® Risk Solutions is collaborating with Gaine Healthcare to offer health plans a powerful and effortless way of maintaining more accurate and continually updated provider data, addressing the needs of various stakeholders within the payer organization.

LEARN MORE  

Data Migration Toolkit

Gaine’s Coperor platform acts as your information broker when moving from old to new systems, merging systems, or integrating with new applications. It sits between your legacy systems and your new platform to ensure that changes made in any system are synchronized according to your business rules — no lost data, no duplication, and no re-keying.

.

EXPLORE THIS SOLUTION  

Member Master

Build a rich member profile with advanced identity management, demographics, and social determinants.

  • Member Outreach
  • Extended Member Profile
  • Population Health Data Store
  • Enrollment Management

.

EXPLORE THIS SOLUTION  

Provider Master

Gaine’s Provider Data Management suite drastically improves data quality and reduces overhead for Payers and Providers alike.

  • Provider Directory
  • Attestation
  • Roster Transformation for Payers
  • Enterprise Sync
  • Reference Data Gateway
  • Data Quality Services

.EXPLORE THIS SOLUTION  

 

New! Lexis Nexis Risk Solutions Integration

LexisNexis® Risk Solutions is collaborating with Gaine Healthcare to offer health plans a powerful and effortless way of maintaining more accurate and continually updated provider data, addressing the needs of various stakeholders within the payer organization.

LEARN MORE  

Data Migration Toolkit

Gaine’s Coperor platform acts as your information broker when moving from old to new systems, merging systems, or integrating with new applications. It sits between your legacy systems and your new platform to ensure that changes made in any system are synchronized according to your business rules — no lost data, no duplication, and no re-keying.

.

EXPLORE THIS SOLUTION  

Send this to a friend