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!

Embedded analytics seems nowhere more obvious or better applied than through Salesforce.com customers.  Obviously this is not meant as a blanket statement, but looking at analytics and sales analytics specifically, the convergence of on-demand offerings with analytics to use on top of an organization's CRM applications shows that embedding analytics within an organization's operational systems can be made simple. Unlike traditional offerings that require a strong internal IT infrastructure as a base, with on-demand solution offerings, and now with the use of Force.com that enables organizations to pick and choose partner solutions, the use of embedded analytics becomes easier.  


With this possibility, it begs the question of whether this type of model will become the norm among other applications in terms of making it easier for organizations to integrate disparate solutions without additional hassle. And if not, maybe it should be in specific circumstances when organizations are trying to take advantage of analytics and BI within their operational systems.

Posted December 9, 2008 5:07 PM
Permalink | No Comments |

Leave a comment