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
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Master Data Management: Does an Effective Solution Exist?
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 > Master Data Management: Does an Effective Solution Exist?
Data QualityData VisualizationData WarehousingDecision ManagementHadoopInside CompaniesJobsKnowledge ManagementLocationMarket ResearchMarketingMarketing AutomationModelingNew ProductsOpen SourcePodcastsPolicy and Governance

Master Data Management: Does an Effective Solution Exist?

MIKE20
MIKE20
3 Min Read
SHARE

by Brenda Somich

Despite being a term that has only reached popularity in the last decade, Master Data Management (MDM) is really a new turn on an old problem.

by Brenda Somich

More Read

Thanks, Big Data: America’s Drinking Habits Predict the Election
The IT-ization of Consumers
5 Best Practices for Extracting, Analyzing, and Visualizing Data
SaaS Business Process Outsourcing Buying Attitude
Private Clouds Are Here to Stay—Especially for Data Warehousing

Despite being a term that has only reached popularity in the last decade, Master Data Management (MDM) is really a new turn on an old problem.

Managing master data such as customer, product, employee, locality and partner data has always been a major challenge – ever since organisations have tried to share or integrate data across systems. For this reason, master management marketplace has grown significantly in the last decade and is predicated to continue to grow aggressively over the coming years. Organisations are spending very large amounts of money on their Master Management programmes and they want to ensure their investment is sound.

However, in most large organisations, managing master data is a very complex problem that technology alone will not solve.  The majority of underlying 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. MIKE2.0′s approach to Information Development is one method can help implement the necessary competences to address some of these issues.

Would you recommend any other solutions, and if so, why?  What do you think are the key capabilities required for an effective MDM solution?

TAGGED:mdm
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
Analytics Big Data Exclusive
data driven businesses
How Data-Driven Businesses Choose Storage That Reduces Risk and Drag
Big Data Exclusive
Operational Data Becomes Business Value in the Age of AIoT
Operational Data Becomes Business Value in the Age of AIoT
Big Data Exclusive Internet of Things
growth guide
Growing Smarter: The Role Of Strategic Partnerships From Startup To Scale
Infographic News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Image
Mobility

How MDM Solutions Are Taking Enterprise by Storm

6 Min Read

The Next Wave of Technologies

5 Min Read

Informatica Gets Heiler for PIM and Product Information Management

7 Min Read
master data management
Big DataBusiness IntelligenceExclusive

Master Data Becomes Incredible Differentiator For Countless Businesses

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.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
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?