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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!

December 2008 Archives

Even though I normally don't advertise industry competitions, since I'm one of the judges, I thought I'd share the link to SiSense's dashboard competition and let people know that it will be open for another week. SiSense is fairly new to the BI space but is definitely making inroads within the market, with a specific focus on SMBs and at a price point that is desirable in a recession.  


Chris Webb, an IT consultant located in the UK, recently wrote a general review about their product that can provide you with more insights into their offerings. 

Posted December 15, 2008 3:58 PM
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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
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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 5:06 PM
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With data integration activities remaining a key part of an organization's BI initiative, and in some cases seen as a necessary headache, companies may start to look for alternative ways to utilize and even integrate their data. Until recently, I didn't think that many, if any, alternatives existed.  Using DataWatch as an example, it seems as if organizations can manage the process of transferring their current data into actionable information without traditional data integration.  DataWatch mines operational reports and the like to transform that data into reports that can be sliced and diced and used as a source of business intelligence.  


Although not necessarily the way to go if the intention is to develop an overall data management and data governance initiative, the ability to access output files instead of source system data offers organizations an alternative to ETL activities.  In terms of data quality, the assumption in this case is that report data is clean, and if it is not, then it is a good idea to implement some sort of quality control for input processes. Either way, accessing information that is already available and building models to exploit that data is already popular among DataWatch's many customers and may become more so as smaller companies look for ways to expand their reach into BI.

Posted December 1, 2008 11:16 AM
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