About Abhishek Kamboj, Mastech Infotrellis

MDM Project Management in Emerging Economies (Africa)

Introduction Inter and Intra business communications turn out to be perpetually mind boggling, the need to successfully manage time and assets winds up the key. All things considered, and coupled with huge interest in infrastructure and service, the interest for project management (PM) aptitude in Africa has expanded significantly over

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

Intelligent Master Data Management by Informatica

Master Data Management is used to ensure that the master data is maintained and created for the enterprise as system of records. It also makes sure that master data is validated as consistent, correct and complete. Drivers for Master Data Management The key adoption drivers for organizations to implement MDM

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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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

Managing MDM Projects II – Development, Testing and Deployment

Calvin: “You can’t just turn on creativity like a faucet. You have to be in the right mood.” Hobbes: “What mood is that?” Calvin: “Last-minute panic.” Okay, apologies for an unscheduled delay on the follow up post. Let’s get back to discussing how we manage our MDM Projects. In my

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

Big Data Enables CPG Companies to Gain an In-Depth, Personal Connection with the End User

This article was featured in the Q3 2014 edition of Loyalty 360‘s Loyalty Management magazine. Consumer Packaged Goods (CPG) companies have accepted for many decades that the reality of the industry is that the customers are interacting with intermediaries like digital merchants and retail outlets, not directly with them. The

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

Managing MDM Projects – Preparation

Every project comes with its own set of challenges and MDM projects are no different. At InfoTrellis, we have built an effective methodology for Project Management, through years of experience in managing MDM projects. We like to call it as “InfoTrellis Smart MDM Methodology”. The InfoTrellis Smart MDM Methodology is:
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