Governed Data Lake for Customer Critical Data Analytics

Overview Retail chains that have brick and mortar stores as well as online platforms often struggle in identifying the customers visiting their site. Even with all the information available at their disposal, the probability of identifying the customers accessing their website is a mere 30%. This blog discusses on the

Define your Data Governance

Data Governance is the process of understanding, managing and making the critical data available with the goal to maximize its value and to ensure compliance. InfoTrellis’ Data Governance Methodology follows a multi-phased iterative approach with 4 stages – Initiate, Define, Deploy and Optimize. This article is the second part of
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What Master Data Management Teaches Social Media Marketing

Everybody, it seems, is getting onto the social media bandwagon. You can’t get far into any discussion about information management or marketing without it coming up, and it’s fascinating to see the emerging best practices and strategies behind social media products and consulting groups. Here are five lessons from over

Examining The Corporate MDM Dashboard: What, Why, How and When

Master Data Management (MDM) is no longer a “fast follower” initiative but is now a generally accepted part of any information management program.  Many enterprises have well established MDM programs and many more are at the beginning stages of implementation.  In order to be successful with MDM you need continuous

Centralizing and Mastering Social Media Data

Yes. Social Media is important for business. Thanks to the analysts, advocates, industry experts and the zillion articles & blog posts on the topic. Now the question is where to start and how to go about consuming Social Media Data. What are the steps involved? Are there any best practices,

What You May Be Missing by Not Monitoring Your MDM Hub

Organizations spend millions of dollars to implement their MDM solution. They may have different approaches (batch vs. real time; integrated customer view vs. integrated supplier view etc.) – but in general they all expect to get a “one version of the truth” view by integrating different data sources and then

Reference Data Management Implementation: Four Key Considerations You May Be Overlooking

In recent years reference data management (RDM) has slowly crept into the forefront of business decision-makers’ consciousnesses, making its way steadily upwards in priority within corporate goals and initiatives. Organizations are suddenly seeing the benefits of investing in RDM, attention grabbed by potential paybacks like smoother interoperability among various functions

MDM Evolution: The Missing Link

Intertwined fates There has been an interesting shift in the MDM space over the last few years.  It wasn’t long ago that the most common question used to be “What is MDM?” – these days that question is instead “What are the best practices in implementing and sustaining MDM?” There

Master Data Management: Are you flying blind?

How can you govern your master data without knowing your master data? For many years I’ve been saying that the one thing all MDM clients have in common is that the quality of data in their source systems is not as good as they thought.  Over the past several years I’ve found