Ed Shepherdson
SVP, Enterprise Solutions

Topics

Information impacting business operations is diverse, complex and growing at staggering rates. Due to unrelenting competition, changing markets, and accelerating rates of adoption for new technology, there is a tremendous strain on IT and business infrastructures. Accessibility to actionable knowledge continually sparks the debate between business intelligence and analytics, questioning the roles each of them play in making informed decisions.

In the past, organizations have struggled to find people willing to sift through mountains of data in order to properly analyze the information needed to make smart decisions. BI made this process easier by introducing analytics as part of the company’s strategic decision making process. Unfortunately, many companies striving to run their entire organization based on BI alone have fallen short for a number of reasons:

  1. The same people who were sifting through all of the data are now trying to manage the surplus of data required to create an all-encompassing warehouse;
  2. BI infrastructure and design are faced with a dilemma: as soon as they are completed, they are out of date due to the massive proliferation of data in the business ecosystem. It is almost impossible for organizations to keep up with the veritable explosion of data from new sources;
  3. The needs of an organization are constantly shifting.  In order to respond to these changes, it is necessary (but virtually impossible) to anticipate today what will happen tomorrow.

My guess is that this debate of BI and analytics has been in progress since the inception and branding of BI as a standalone discipline for organizations. BI, as I see it, is a complete end-to-end platform consisting of tools, processes and business models that allow for the retrieval of relevant information in the best format for your business. At this level, analytics is a key part of the BI process. It’s about the predictability of the business – to the extent in which you can predict it – based on potential variances of business norms. The question of what data is being retrieved becomes static in the bigger picture.

One of the biggest questions I hear raised in the debate of BI vs. analytics is: “How dynamic must the access/navigation of information be to really make analytics representative of true business intelligence?” I believe the answer lies in leveraging Enterprise Search 2.0 platforms as a driving source for business intelligence and analytics, and I will explore this idea further in my next blog post.

Read Part 2: Making Dynamic Analytics Representative of True Business Intelligence

About Ed Shepherdson

As the Senior Vice President of Enterprise Solutions, Ed Shepherdson oversees Coveo’s Knowledge 360 Solutions, with a strong focus on the company’s Knowledge 360 Solutions for Customer Service. Mr. Shepherdson brings 30 years of experience in the technology industry to his role with Coveo. Prior to joining Coveo, he spent 18 years at Cognos, now an IBM company, where he most recently served as Vice President of Global Customer Support. While at Cognos, Mr. Shepherdson also held a variety of senior positions in the company’s Research and Development and Applications Development teams. Mr. Shepherdson has also served as an Advisory Board member in several industry associations, including the Technology Services Industry Association (TSIA) and Service Strategies Corporation, which sets the standards for the Technology Services and Support Industry. Mr. Shepherdson holds a Masters Degree in Organizational Leadership and completed the Ivey Executive Program at the Richard Ivey School of Business at Western University. Outside of work, he is an avid golfer, enjoys watching Jr. hockey and spending time with his wife, son and daughter.

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