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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 2010 Archives

Last week I was part of a panel hosted by TechTarget to discuss how organizations can better leverage their BI environments and the issues surrounding BI maturity, training, ease of use, broad deployments, and overall management of BI programs.  Overall, the conversation was quite interesting with panelists providing good insights into how businesses can make the most of their BI use.

Posted December 20, 2010 3:05 PM
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Last week, TechTarget hosted a virtual seminar titled Leveraging Enterprise Data.  The panel consisted of myself, Wayne Eckerson, Jim Gallo, and William McKnight and we discussed several issues surrounding organizations' use of BI and how they can become more effective.  For the full recording, click here.

General questions included issues surrounding BI maturity, required training, where BI projects should be championed within the organization, and so on. Overall, many interesting points were discussed, highlighting the current diversity in the market place - both of available solutions and of actual maturity and adoption within organizations.  Depending on the organization size and structure, the way in which BI is deployed and managed will differ.  And these differences can range from having a business intelligence competency center (BICC) to being driven by C-level executives with little internal IT support. 

One of the interesting points brought up by Wayne is that BI should be intuitive; that the best environments are those that have intuitive interfaces whereby end users can access and interact with them without additional training or input from outside sources.  And even though this was definitely an interesting point, it led me to wonder how many organizations actually have BI applications that are easy to use.  One of the issues surrounding pervasive BI is the fact that traditional BI users tend to have advanced analytics skills and analyst type roles within the business. Consequently, what is intuitive to these users will not be to others.  This means that when companies consider broadening the use of business intelligence within their organizations, the expertise of a broader audience needs to be taken into account - in many cases by developing something that plays to those with the least amount of technical savvy.  

Although many companies have mature BI environments and are able to move towards this type of model of BI deployment, many companies starting on their BI journey are struggling with data issues - identifying the right data sources, ensuring data quality, and preparing the data so that valuable output is possible.  And in many cases, the ability to develop widely deployable solutions that are easy to use and maintain are still out of reach.

Posted December 19, 2010 6:48 PM
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Yesterday I was privileged to sit on a panel with other BBBT members to discuss topics related to the current and future state of the data warehousing and analytics markets.  The panel was hosted by XtremeData, that hosts monthly educational sessions.  Here is the link to listen to the recording Рpanel discussion and slides.

The general topics discussed were the current maturity of the market, trends, and proof of concepts.

Posted December 14, 2010 9:10 PM
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Many organizations face the challenge of accurately managing their data governance initiatives due to the lack of a centralized infrastructure that enables the management of data policies and overall data management process automation. ¬†Kalido’s release of their¬†Kalido Data Governance Director aims to do just that. ¬†By creating a unique tool for companies to use and to develop a structured approach to data governance through the management of data policies, they hope to provide their customers with a complete data management solution that meets their customers’ needs from master data management through data quality.

In general, because data governance is increasingly gaining importance within the marketplace, mature DG companies are looking for standardized practices to implement to make the DG process easier and automatic. Currently, organizations are left to manage their own projects independently and even though resources exist to help guide effective management of these initiatives, the software component is sorely missing.  This means that Kalido may have hit on a trend that is emerging in relation to integrating the process side into the governance and toolsets required to automate how data governance is managed within the organization.

The next phase will hopefully be moving downstream so that more organizations can take advantage of data governance software. ¬†With a $200K entry point, organizations will have to justify an extra expenditure in addition to their current BI, MDM, and data integration costs and add DG to the mix. ¬†Overall, it seems as if the concepts surrounding data management are slowly becoming integrated to provide companies with the opportunity to centralize their approach to BI, MDM, and broader data management through the adoption of formalized data governance processes. This means that eventually, the piecemeal approach to data management initiatives will transition towards a centralized infrastructure that includes all aspects of data management. ¬†Kalido’s new announcement definitely provides industry insights into the increasing importance of developing an automated approach to DG that takes the guess work out of managing data policies and how they relate to overall data management initiatives.

Posted December 6, 2010 5:25 PM
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