Every month XtremeData hosts an educational session for those interested in business intelligence and data warehousing. This month the Boulder BI Brain Trust was asked to participate on a panel to discuss trends related to data warehousing and analytics. The BBBT members who sat on the panel in addition to me were Claudia Imhoff (acting as moderator), Brad Cowdrey, Mike Ferguson, Mark Madsen, John Myers, Shawn Rogers, and Colin White.
The topics centered around four issues related to emerging trends and the current state of the market:
- The current state of the data warehouse and the general maturity curve of overall use.
- Expected data growth rates and new data sources – for instance, incorporating social media data into a current analytics platform.
- Trends related to data warehousing and analytical applications.
- Advice on the Proof of Concept (POC) phase and what to look out for.
Overall, the discussion was quite lively and many interesting points were discussed. This included a focus on the new demands of operational BI and whether or not current data warehouse infrastructures are able to meet the service levels required to successfully manage continual data access. Luckily, with the increasing focus on the data warehouse appliance market, support of large data sets and real time data loads are becoming more possible on a wider scale. Hopefully, this will lead to data warehouse solutions that are better suited to operational BI use.
Also, because of the increasing involvement of business users in the buying and developing process, there is more of a focus on driving business value, quick time to implement, and business focused applications. Business unit involvement is starting to become broader and analytics applications are beginning to take into account more data sources, with continual additions once the organization’s data warehouse environment matures. Consequently, organizations are required to think bigger even when looking at initial data warehouse implementations.
When considering POCs, it becomes important to test vendor capabilities in order to make sure that the features and functions stated are actually possible and available within the customer organization. By using specific organization datasets and scenarios, companies will get a good sense of where gaps or opportunities may exist. Overall, it pays to take time to evaluate and select a solution that not only handles current business requirements, but future data expansions as well.
About the Author
Lyndsay Wise is an industry analyst for business intelligence. For over seven years, she has assisted clients in business systems analysis, software selection and implementation of enterprise applications. Lyndsay is the channel expert for BI for the Mid-Market at B-eye-Network and conducts research of leading technologies, products and vendors in business intelligence, marketing performance management, master data management, and unstructured data. She can be reached at email@example.com. And please visit Lyndsay's blog at myblog.wiseanalytics.com.
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