Data Management and IBM IIS Tools

IIS Tool Suite Overview As per a study conducted by a leading market research and advisory company the data that we have generated in the past two years is many times more than that we generated in over two decades. It has not just multiplied, but have also become complex,

GDPR and MDM – Part 1

This blog post section gives an overview of GDPR, requirements, impact on business, common challenges faced by organizations and next steps recommended for GDPR compliance. GDPR –Overview The General Data Protection Regulation (GDPR), enacted in April 2016 in Europe, will come into effect globally on May 25, 2018. The objective

Informatica MDM MDE Batch Process in a nutshell

Overview Data is siloed across wide variety of platforms in an enterprise environment and the data needs to be processed, cleansed, and mastered to ensure it is same across source systems for effective reporting and analysis. To cater to this need, Informatica provides Master Data Management (MDM) product called Multi-Domain

How to integrate Informatica Data Quality (IDQ) with Informatica MDM

Overview Data cleansing and standardization is an important aspect of any Master Data Management (MDM) project. Informatica MDM Multi-Domain Edition (MDE) provides reasonable number of cleanse functions out-of-the-box. However, there are requirements when the OOTB cleanse functions are not enough and there is a need for comprehensive functions to achieve

Intelligent Data Management meets SMART MDM™ Methodology

Introduction Informatica MDM Multi Domain Edition (MDE) supports multiple Business Data Domains with a flexible data model which allows you to adapt to Data model in line with your business requirements; also provides you the flexibility not to adapt to fixed vendor defined data models. The business rules can be

Virtual and Physical MDM in the same box, best of both worlds!

With the introduction of IBM Master Data Management v11, IBM has created a new implementation style combining the strengths of both MDM Physical and Virtual editions. While MDM Physical is more suited to the “centralized” MDM style (system of record), and MDM Virtual is aligned with the “registry” MDM style
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Common Sense is very uncommon

“Effort is important, but knowing where to make an effort makes all the difference!” A few days ago, at the end of a very intense release, one of our long term clients asked what is the secret behind our team’s high quality testing effort, despite the very aggressive timelines and
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IBM MDM BatchProcessor – Tips for better throughput

MDM BatchProcessor is a multi-threaded J2SE client application used in most of the MDM implementations to load large volumes of enterprise data into MDM during initial and delta loads. Oftentimes, processing large volumes of data might cause performance issues during the Batch Processing stage thus bringing down the TPS (Transactions

Top Reasons an MDM Implementation Fails

I often become involved in an organization’s MDM program when they’ve reached out to InfoTrellis for help with cleaning up after a failed project or initiating attempt number X at achieving what, to some, is a real struggle. There can be a lot of reasons for a Master Data Management

Using External Data in MDM Systems

Let me start by saying that this is not an article about big data.  While the source of big data is external to your organization, it is a topic of its own.  Many of the concepts and approaches discussed will definitely apply to your big data initiatives, but that won’t