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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!

Although organizations are making headway at becoming more agile, there are still challenges that exist and that many organizations overlook when striving to achieve BI agility.  In some cases organizations think that by revisiting their business needs, they can simply shift their BI use without evaluating the technology and processes currently in use. In other cases, they may feel that adopting new technology will be enough, without looking at the broader implications of how to apply that technology to address business needs more broadly.

For agility to work, organizations require a broader understanding of the key areas that need consideration – infrastructure and governance. After all, the right technology and data access will help drive better business performance, but only if associated governance structures are put in place to ensure that it can be properly managed over time.

Agile BI Infrastructure and Data Access

 In recent years the data warehousing market has become more diverse with the introduction of a broader array of solutions. These include more appliances, analytical databases, cloud storage options, and more focus on in-memory processing. Adding to this the focus on big data storage and organizations have the flexibility to develop the types of solutions that best fit their current and future needs. 

Looking at agile BI specifically, however, requires the ability to deliver data that is accurate and fresh on a regular basis. This expands beyond the concepts surrounding operational BI, towards the ability to work backwards. In the past, BI was a data focused solution – the data always came first. This is no longer the case. Irrespective of how it is accessed, information needs to support business requirements and how it is stored should be looked at based on how it is needed, and not based on the technology available. This means identifying when information is required, how it will be accessed, and by who. Building a platform based on these considerations is what will help bring the organization towards more effective agility.

Understanding the Full Scope of Governance

Governance represents the people, processes, and systems that support data. This means making sure that the information being analyzed is accurate and that a level of accountability exists to deal with issues as they occur. Who is responsible, what are the processes in place to address challenges, and how information assets will be handled are all areas that apply to governance. In essence, governance reflect the people side of the agility process. But more than that, they help manage the ongoing data quality and consistent access to valid data.

Without an accurate understanding of what people need and the level of importance, the ability to develop a strong data infrastructure will be difficult. Essentially, both are required as starting points to build a strong and agile approach to BI access.

For a broader look at achieving or transitioning towards agile BI in your organization please see:

Microstrategy Webcast – 7 Steps to Achieving BI Agility*

Checklist for Achieving BI Agility*

*Requires registration


Posted October 14, 2013 4:51 PM
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