We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 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
An Open Source Solution for Master Data Management
Illustrative image generated with OpenAI gpt-image-1.
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:

  • 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.

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:

More Read

Big Data Hype is an Opportunity for Data Management Pros
Big Data Hype is an Opportunity for Data Management Pros
Is Big Data Under Threat by New Internet Magna Carta?
Analyzing the Results of Analysis
The Big Deal in Big Data is a Big Opportunity
Test, Learn, Adapt: Using Analytics to Improve Public Policy
  • 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

Flat editorial illustration: The article's core relationship is the brand protection response workflow: detection of a phishing o
Data & AI Architecture Focus: 6 Best Brand Protection Tools for Phishing and Impersonation
IT Security
Server racks with cloud and user interface panels
Cloud Infrastructure and Workload Migration: A Data-Driven Look at VMware Alternatives in Europe
Cloud Computing Exclusive
Synthetic Data vs Real Web Data: Comparison, Limitations, and Collection Methods  -- AI-generated illustration
Synthetic Data vs Real Web Data: Comparison, Limitations, and Collection Methods 
Big Data Exclusive
Illustration of mobile analytics dashboards with ad performance charts connected to backend databases
11 Best Sisense Alternatives for Embedded Analytics
Business Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Empowering the Business Ecosystem with Business Intelligence [VIDEO]
AnalyticsBig DataBusiness IntelligenceData QualityData VisualizationDecision ManagementKnowledge ManagementPredictive AnalyticsSoftwareUnstructured Data

Empowering the Business Ecosystem with Business Intelligence [VIDEO]

1 Min Read
Massive DDoS attack spotlights internet choke point
AnalyticsCloud ComputingITPolicy and GovernanceSecurity

Massive DDoS attack spotlights internet choke point

7 Min Read
Bigger Data, Better Intelligence for Government
AnalyticsDecision ManagementPolicy and GovernanceUnstructured Data

Bigger Data, Better Intelligence for Government

3 Min Read
Is Facebook Taking Big Data Analytics Too Far?
AnalyticsBig DataBusiness IntelligenceData ManagementData MiningModelingPolicy and GovernancePredictive AnalyticsPrivacySocial DataText AnalyticsTransparencyWeb Analytics

Is Facebook Taking Big Data Analytics Too Far?

6 Min Read

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

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?