We use cookies and other similar technologies (Cookies) to enhance your experience and to provide you with relevant content and ads. By using our website, you are agreeing to the use of Cookies. You can change your settings at any time. Cookie Policy.


Blog: Lyndsay Wise Subscribe to this blog's RSS feed!

Lyndsay Wise

Hi and welcome to my blog! I look forward to bringing you weekly posts about what is happening in the world of BI, CDI and marketing performance management.

About the author >

Lyndsay is the President and Founder of WiseAnalytics, an independent analyst firm specializing in business intelligence, master data management and unstructured data. For more than seven years, she has assisted clients in business systems analysis, software selection and implementation of enterprise applications. Lyndsay conducts regular research studies, consults, writes articles and speaks about improving the value of business intelligence within organizations. She can be reached at lwise@wiseanalytics.com.

Editor's Note: More articles and resources are available in Lyndsay's BeyeNETWORK Expert Channel. Be sure to visit today!

Organizations are constantly looking for ways to meet the needs of their customers. Better service, customized products, and price guarantees are just some ways that organizations try to ensure customer loyalty. For service and data providers, however, it is not always easy to provide added value beyond the service or data provided. The promise of more data and better visibility help ensure customer satisfaction by giving customers the tools they need to gain added insights. This gap has led to organizations providing analytics as part of their offerings to ensure that customers can access broader insights automatically without having to download data or change formats and apply their own business rules to gain deeper insight. 

Non-profit, education, and government are examples of industries that have posted demographics or other analytical data online for public consumption. When dealing with for-profit companies, most provide analytics in the guise of embedded analytics. What this means is that organizations develop applications that are embedded within their solutions that can be provided as a service to customers. This access to analytics helps provide customers with broader insights into their accounts, customers, trends, reporting needs, etc. In many cases, businesses add these additional reporting or analytics capabilities as an add-on to the services or information already provided.

For organizations considering this added level of analytics access, the first step is to understand end user requirements. What data is currently being looked at, where are their gaps in visibility, what information do customers need to give them that added advantage, and what needs to be done internally to make all of this happen. These questions represent the starting point. Luckily for organizations going this route, there are many solution providers that offer embedded BI as a key aspect of their offerings. Therefore, when organizations look at evaluating software vendors, one of the things they have to do is make sure that the capabilities they require are also provided within an embedded environment. 

Once software is selected, the process of acquisition and integration will mirror a traditional analytics implementation, with one key difference – the opportunity to monetize use. Organizations need to identify whether they will provide this new service at a premium, as pay per use, or develop some other cost model. Overall, organizations want to do more than justify their expenditures; they want to transform this new operating expense into revenue.

The ability to provide analytics to others as part of a new or added value service is one of the reasons more and more organizations are looking towards embedded analytics. Aside from added revenue, though, the reality is that as customer expectations grow and analytics become the norm, more and more businesses will start to take advantage of embedded analytics to be able to provide their customers with greater information visibility. Currently providing a level of competitive edge will no longer be the case when customers start to expect this level of insight into their data.

This post was written as part of the IBM for Midsize Business program, which provides midsize businesses with the tools, expertise and solutions they need to become engines of a smarter planet. I’ve been compensated to contribute to this program, but the opinions expressed in this post are my own and don’t necessarily represent IBM’s positions, strategies or opinions.

website statistics


Posted May 22, 2014 12:31 PM
Permalink | No Comments |
   VISIT MY EXPERT CHANNEL

Search this blog
Categories ›
Archives ›
Recent Entries ›