Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: An Open Source Solution for Master Data Management
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Quality > An Open Source Solution for Master Data Management
Data QualityPolicy and Governance

An Open Source Solution for Master Data Management

MIKE20
MIKE20
3 Min Read
SHARE

In most large organisations, managing master data is a very complex problem that technology alone will not solve.  The majority of issues are process and competency-oriented:

In most large organisations, managing master data is a very complex problem that technology alone will not solve.  The majority of issues are process and competency-oriented:

  • Organisations typically have complex data quality issues with master data, especially with customer and address data from legacy systems
  • There is often a high degree of overlap in master data, e.g. large organisations storing customer data across many systems in the enterprise
  • Organisations typically lack a Data Mastering Model which defines primary masters, secondary masters and slaves of master data and therefore makes integration of master data complex
  • It is often difficult to come to a common agreement on domain values that are stored across a number of systems, especially product data
  • Poor information governance (stewardship, ownership, policies) around master data leads to complexity across the organisation

MDM solutions are often perceived by business and executive management as significant and costly purely due to infrastructure improvement efforts lacking well-defined tangible business benefits.

More Read

Data Darwinism: Market Driven Data Quality
What Does Data Quality Technology Want?
“Some is not a number and soon is not a time”
Data Liberation: The Case For and Against
Data Obesity

The MIKE2.0 Information Development approach can help implement the necessary competences to address these issues in a systematic fashion. An end-to-end approach is followed that goes from business strategy to ongoing operational improvement.  MIKE2.0 contains the comprehensive set of activities and tasks that are required to see an MDM programme through from strategy to implementation.

Key aspects of MIKE2.0 that are applied include:

  • Definition of the business and technology blueprint, which defines strategic requirements and plans the implementation programme over multiple increments
  • Definition of strategic and tactical architecture frameworks, using the SAFE Architecture as a starting point
  • Documentation of strategic technology requirements for product selection
  • An organisational model to focus specifically on Information Development
  • An approach to improve Data Governance across the environment

This comprehensive approach goes across people, process, organisation and technology and is driven by an overall strategy.   Please check it out when you have a  moment.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

data migration risk prevention
Best Approach to Risk Management for Data Migration in Data-Driven Businesses
Big Data Data Management Exclusive Risk Management
AI in branding
How Data Analytics and Data Mining Strengthen Brand Identity Services
Big Data Exclusive
Hidden AI, a risk?
Hidden AI, Real Risk: A Governance Roadmap For Mid-Market Organizations
Artificial Intelligence Exclusive Infographic
unusual trading activity
Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
Analytics Exclusive Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Image
AnalyticsBig DataBusiness IntelligenceData ManagementData MiningExclusiveModelingPolicy and GovernancePredictive AnalyticsRisk Management

When Big Data Turns Into a Big Nightmare!

6 Min Read

What’s Wrong with Today’s Planning and Budgeting

8 Min Read

Is Business Analytics Just Another Passing Fad?

4 Min Read
Image
AnalyticsBig DataCulture/LeadershipData MiningData WarehousingPolicy and GovernanceTransparencyWorkforce Data

4 Benefits for the Public Sector when Governments Start Using Big Data

8 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?