Posts Tagged ‘Enterprise Data and Analytics’

With the advent of Splice Machine and the release of Hive 0.14 we are seeing Hadoop’s role in the data center continue to grow. Both of these technologies support limited transactions against data stored in HDFS. Now, I would not suggest moving your mission-critical ERP systems to Hive or Splice Machine, but the support of […]

Lot of people confuse the Master Data Management with CRM. Gartner defines the ‘Three Rings of Information Governance’ where and what type of data is captured and how it relates to the core enterprise data (Master Data). Master Data is the common set of definitions agreed across the Enterprise. According to Gartner, The inner ring […]

Big Data is big deal. Every vendor has a strategy and a suite of products. Navigating the maze and picking the right Big Data platform and tools takes some level of planning and looking beyond techie’s dream product suite. Compounding the issue is the open source option vs. going with a vendor version of the […]

In part 1 of this series, we discussed some of the most common assumptions associated with Big Data Proof of Concept (POC) projects. Today, we’re going to begin exploring the next stage in Big Data POC definition – “The What.” The ‘What’ for Big Data has gotten much more complicated in recent years; and now […]

Recently I listened in on a webinar on “Best Practices in Ensuring Data Quality” and I kept thinking to myself about all the data quality projects I have been on. Now one thing that came out as the obvious was that many of my previous and current clients all have had different standards to their data […]

It seems as though every large organization these days is either conducting a Big Data Proof of Concept (POC) or considering doing one. Now, there are serious questions as to whether this is even the correct path towards adoption of Big Data technologies, but of course for some potential adopters it may very well be the […]

IT Transformation has been a buzzword for more than a decade now, but what does it really mean? The first time I heard it used regularly was in relation to specific Department of Defense (DoD) technology initiatives from the early 2000s. I had the opportunity to work on several of those projects and as the […]

Tomorrow I will be giving a webinar on creating business cases for Big Data. One of the reasons for the webinar was that there is very little information available on creating a Big Data business cases. Most of what is available boils down to a “trust me, Big Data will be of value.” Most information […]

When Apple jumped into the payment processing with ApplePay, I thought this would be a great leg up for Apple. But who will be the winner and who will be the loser? Granted the payment switches from the credit card to ApplePay which indirectly pays for the purchase, who cares as long as we can […]

The practice of Information Governance (IG) is evolving rapidly; it has become much more than just Data Governance. One of the most interesting and challenging additions to IG recently has been management of Cloud-related issues. The Cloud of 2014 is much different than how it was conceived just a few years ago (with strict and […]

One of the key points I make in our Executive Big Data Workshops is that effective use of Big Data analytics will require transforming both business and IT organizations.   Big Data with access to cross-functional data will transform the strategic processes within a company that guide long term and year to year investments. With the […]

A few years back I worked for a client that was implementing cell level security on every data structure within their data warehouse. They had nearly 1,000 tables and 200,000 columns — yikes! Talking about administrative overhead. The logic was that data access should only be given on a need-to-know basis. The idea would be […]