Tag Archives: Hierarchy management

Informatica Advances Cloud Integration and Data Quality

Informatica Cloud Winter 2013 has arrived. This is the fourteenth release of the company’s award-winning family of cloud integration applications and integration platform as a service (iPaaS),  which has now expanded to include Informatica Cloud Master Data Management (MDM). In this post I’ll provide an overview of the new cloud integration and cloud data quality capabilities. Be sure to register for a 30 day trial and/or attend the release webinar on Thursday to see Informatica Cloud in action.

(more…)

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Posted in Cloud Computing, Data Integration, Data Migration, Data Quality, Data Synchronization, Enterprise Data Management, Marketplace, Master Data Management, News & Announcements, PaaS, SaaS | Tagged , , , , , , , , , , , , | Leave a comment

MDM Customer Success Stories @ Informatica World

Are you planning to attend Informatica World 2010 next week?

If so, I invite you to hear these breakout session presentations from our master data management (MDM) customers, including:

  • Johnson & Johnson’s Charles Bloodworth, IT Director, Medical Devices & Diagnostics;
  • Merrill Lynch’s Sal Caruso, Director, Client & Account Data;
  • St. Jude Medical’s Mike Striefel, Senior Manager, Enterprise Information Delivery, and
  • GlaxoSmithKline’s Nipun Bhonsle, Manager, Strategy, Architecture & Information. (more…)
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Posted in Business Impact / Benefits, Business/IT Collaboration, CIO, Customers, Data Governance, Data Quality, Enterprise Data Management, Governance, Risk and Compliance, Informatica Events, Master Data Management, Operational Efficiency, Uncategorized | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

Building A Better Data Warehouse

The devil, as they say, is in the detail. Your organization might have invested years of effort and millions of dollars in an enterprise data warehouse, but unless the data in it is accurate and free of contradiction, it can lead to misinformed business decisions and wasted IT resources.

We’re seeing an increasing number of organizations confront the issue of data quality in their data warehousing environments in efforts to sharpen business insights in a challenging economic climate. Many are turning to master data management (MDM) to address the devilish data details that can undermine the value of a data warehousing investment.

Consider this: Just 24 percent of data warehouses deliver “high value” to their organizations, according to a survey by The Data Warehousing Institute (TDWI).[1] Twelve percent are low value and 64 percent are moderate value “but could deliver more,” TDWI’s report states. For many organizations, questionable data quality is the reason why data warehouses fall short of their potential. (more…)

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Posted in Data Quality, Data Warehousing, Enterprise Data Management, Master Data Management | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

Answering One Simple Question Shouldn’t Take Six Long Weeks

The CEO of a global technology products manufacturer had a simple question: “I need a list of our top 400 global customers by revenue—immediately.”

The boss got his answer—six weeks later.

That’s how long it took the company’s IT team to root through disparate applications, engage data owners in various business units and geographies, and manually reconcile granular data to answer a basic question that bears directly on the bottom line.

It’s a true story, and one with a happy ending. This multibillion-dollar company implemented Informatica MDM for multidomain master data management (MDM). It exploited the solution’s capabilities and followed best practices in aggressively tackling business-critical data challenges.

Learn about the key business problems solved by MDM as well as best practices  in our white paper, “A GPS for Your MDM Journey”. (more…)

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Posted in Business Impact / Benefits, Customers, Data Quality, Data Warehousing, Master Data Management, Mergers and Acquisitions, Operational Efficiency | Tagged , , , , , , , , , , , , | 2 Comments