Tag Archives: Analytics
I had the privilege to be invited to testify to the Health I.T. Policy Committee workgroup on the topic of data quality back in November. I’ve been an advocate for the work of the committee for years and am constantly impressed with the considerable insight and genuine passion they bring to their work. The opportunity to testify, however, was my first opportunity to actually participate in the policy-making process and it certainly was both a learning opportunity for me, as well as a chance to share my thoughts on the important topic of data quality. (more…)
In a recent webinar, Mark Smith, CEO at Ventana Research and David Lyle, vice president, Product Strategy at Informatica discussed: “Building the Business Case and Establishing the Fundamentals for Big Data Projects.” Mark pointed out that the second biggest barrier that impedes improving big data initiatives is that the “business case is not strong enough.” The first and third barriers respectively, were “lack of resources” and “no budget” which are also related to having a strong business case. In this context, Dave provided a simple formula from which to build the business case:
Return on Big Data = Value of Big Data / Cost of Big Data (more…)
I ran across an interesting post by Dr. Michael Wu, principal scientist of analytics at Lithium, a social media strategy firm, about the value of Big Data, suggesting that too many people think the data itself is a valuable commodity. However, it is not the same as “information.”
As he describes it, “the promise of Big Data is that one could glean lots of information and gain many valuable insights. However, people often don’t realize that data and information are not the same. Even if you are able to extract information from your Big Data, not all of it will be insightful and valuable.” (more…)
It’s actually hard to find good guidance out there when it comes to big data integration. Everyone thinks they have the answer, but the experience is just not there, even as we watch big data integration technology appear.
Focus on the business impacts of analytics, not methodologies or insights…. keep the business involved in all iterations of an analytics process or project…. and remember, it’s ultimately skilled people that drive successful analytics.
These “secrets” of leading corporate analytical gurus may seem like everyday common sense, but rarely are put into practice. To find out what it takes for organizations to succeed with data analytics, Wayne Eckerson, founder of the BI Leadership Forum, recently spoke with seven exemplary analytics leaders, and distilled their advice in his latest book, Secrets of Analytical Leaders: Insights from Information Insiders. (more…)
I recently had the pleasure of participating in a big data panel at the Pacific Crest investor’s conference (the replay available here.) I was joined on the panel by Hortonworks, MapR, Datastax and Microsoft. There is clearly a lot of interest in the world of big data and how the market is evolving. I came away from the panel with four fundamental thoughts: (more…)
Most of the big data discussions have been on the technology or the numerously re-played business discoveries used as examples of big data’s power. Many companies are still in the experimental stages of big data, asking for guidance regarding what their benefits would be, how they can re-align themselves to take advantage, and what new processes might be helpful to make them successful with these powerful new capabilities. (more…)