Posts Tagged ‘data governance’

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 […]

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 […]

This is the second post in a two part series on how Perficient helped to support ProHealth Care in operationalizing their BI program, data governance, and the Business Intelligence Competency Center. In the first post, I talked about the workstreams and the roadmap. Below, I’ll cover the members of the data governance steering committee as […]

Years of work went into building the elusive single version of truth. Despite all the attempts from IT and business, Excel reporting and Access databases were impossible to eliminate. Excel is the number one BI tool in the industry and for the following good reasons : accessibility to the tool, speed and familiarity. Almost all […]

This is Part I in a two part series on how Perficient helped to support ProHealth Care in operationalizing their BI program, data governance, and the Business Intelligence Competency Center. Here, I’ll focus on the workstreams and the road map. In Part II, I’ll cover the members of the data governance steering committee as well […]

  The speed in which we receive information from multiple devices and the ever-changing customer interactions providing new ways of customer experience, creates DATA! Any company that knows how to harness the data and produce actionable information is going to make a big difference to their bottom line. So Why Virtualization? The simple answer is […]

Myths & Realities of Self-Service BI The popularity of Data Visualization tools and the Cloud BI offerings are new forces to reckon with. I find it interesting to see how the perception Vs usage of these tools in reality. Traditionally IT likes the control and centralized management for obvious reasons of accountability and quality of […]

IBM states, “The InfoSphere Platform provides all the foundational building blocks of trusted information, including data integration, data warehousing, master data management, big data and information governance.[1]”  They cannot be anymore right!  Managing data has been more complex through the years as companies are trying to bring in more data (Big Data) for their business […]

I always find industry acronyms amusing. Sometimes they describe new technologies, other times they are a new name for an existing technology (maybe with a slight twist). And then there are those times when two different technologies, models, theories, etc. end upwith the same acronym. Such is the case with Information as a Service and […]

Recent studies indicate more than 90% of the world’s data was created in the last 2 years, and the cost of maintaining that data is increasingly becoming a liability for IT, Legal and Business groups. As the amount of structured and unstructured data dramatically expands, the expense of maintaining data stores is outpacing the reduction […]

Picking up from my earlier blog post, there are two kinds of MDM tool types, one targets specific domain (Customer and Product are the most common ones) and the others follow a multi-domain (Customer, Product, Location, Supplier etc. all in one) strategy. Most of the analysis I found are either for Customer Domain or Product […]