Tag "Data Governance"
Somebody at a conference once said to me: “Nobody knows what the role of a Chief Data Officer is, and if they did, they would not take the job!” That was 18 months ago, and even though the definition of the CDO role has clarified a great deal, but the improved role clarity has not reduced the challenge one iota.
I had the pleasure of attending a presentation by a vice president of a regional bank. He led the presentation with this statement, “What is important to our customer is important to our Bank”. Customer success is a key factor for any business, but banks are finding it necessary to compete in today’s environment. This... more
This is the third of three posts covering the core aspects of the next-generation integration competency center that we’re calling Enterprise Data Competency. In previous posts, we started with integration competency—the basic but increasingly challenging task of making all your data streams play nicely together—and then moved to information competency, which is the ability to... more
This is the second of three collaborative posts (Part I) in which David Lyle, Rob Karel and I take an introductory look at the next-generation Integration Competency Center that we’re calling Enterprise Data Competency (EDC). Our first post discussed integration competency, and the need for agility despite escalating complexity. We also considered that most businesses... more
Data integration is complex for most enterprises, but it doesn’t need to be. Even though data integration is a pretty well understood IT discipline, there seems to be a lot of confusion out there, which leads to lots of mistakes being made. Many of these mistakes are very avoidable. To that point, we need to... more
When talking to customers about analytics, I am frequently asked about how to build the business case for data governance for analytics initiatives. That is a great question and my first response is that it is always easier to design it in up front than to try to retrofit it after the fact. But, let’s get back to the question.
I am fortunate to work closely with Informatica customers. Customers who are defining data governance, bringing meaning to the term “self-service analytics” and championing cross-functional data ownership – with an entrepreneurial mindset. They are not deterred by the complexity of cross-functional projects or… the word no. Top of mind is Terri Mikol, Director of Data... more
Informatica has achieved compliance with the Health Insurance Portability and Accountability Act of 1996 (HIPAA) for the current suite of iPaaS products. HIPAA addresses the use and disclosure of individuals’ health information — called protected health information (PHI) — by organizations subject to the Privacy Rule — called covered entities — as well as standards for the rights... more
“Originally published by Sandy Strasser, Produktkulturmagazin Q2, 2016 – An interview with Informatica customer Festo, about business outcomes, drivers and best practices of master data management in manufacturing.” The real and virtual worlds are becoming ever more entwined, modern information and communication technologies are merging with industrial processes and are consequently changing the production landscape to... more
Too often, data management is overlooked in the rush to show the results of analytics investments, but will really pay to take a step back, think about the new data requirements, and how you are going to meet them.