In my last post, I gave you the first six Do’s and Don’ts of Data Governance and promised to bring together an additional six to consider when making a data governance plan for your organization.  Here are six more dos and don'ts when building your data governance framework. Do: Consider the cloud on your route to trust...

This post was authored by Venkat Sundaram from Talend and Ramu Kalvakuntla from Clarity Insights. This is the second part in a series of blogs that discuss how to successfully build governed data lakes. To all those who have read...

Set clear expectations from the start One big mistake I see organizations make when starting out on their data governance journey is forgetting the rationale behind data. So don’t just govern to govern. Whether you need to minimize risks or maximize your benefits, link your data governance projects to clear and measurable outcomes. As data governance is a non-departmental init...

In 2012 when I worked at Lenovo, the company set out on a journey to create the Lenovo Unified Customer Intelligence (LUCI) platform. The decisions we made with regard to people and technology involved in that project helped to shape my self-development, relationships with others on the team, and relationship with executives. Data management leaders today are still faci...

Kent State University is a public research university located in Kent, Ohio, with an enrollment of nearly 41,000 students.  Success in recruiting qualified students in sufficient numbers is the lifeblood of any university. In its efforts to aggregate data related to admissions, Kent State found itself dealing with a “spaghetti mess”, further complicated by its hybrid environment. Currently, the university relies on an on-premises Banner ERP syst...

Remember how the Internet made it so easy and cheap to create content that everyone did it? Well, that’s where we are with the data economy today. The challenge with the web was not lack of fascinating content, but a way to find it. After two decades we know that winners in the web economy are those that created a single point of access to content in their category: Google, YouTube, Baidu, Amazon, Wikipedia. Now, we are faced with a similar data sprawl in our data-drive...

Remember how the Internet made it so easy and cheap to create content that everyone did it? Well, that’s where we are with the data economy today. The challenge with the web was not lack of fascinating content, but a way to find it. After two decades we know that winners in the web economy are those that created a single point of access to content in their category: Google, YouTube, Baidu, Amazon, Wikipedia. Now, we are faced with...

Metadata Management has slowly become one of the most important practices for a successful digital initiative strategy. With the rise of distributed architectures such as Big Data and Cloud which can create siloed systems and data, metadata management is now vital for managing the i...

We all know we are at the peak of the hype cycle for…wait for it – Blockchain! We are also already aware of some of the benefits of blockchain - but can blockchain be applicable to traditional data management? Though real-world blockchain implementations in the enterprise are mini...

We all know we are at the peak of the hype cycle for…wait for it — Blockchain! We are also already aware of some of the benefits of blockchain — but can blockchain be applicable to traditional data management? Though real-world blockchai...