Last week I attended Enterprise Data World in San Francisco and gave a workshop related to using dashboards as part of an organization’s data management initiative. Aside from feeling a little like a fish out of water talking about dashboards and data visualization at a conference devoted to data management, I realized that it is definitely a topic that should be explored much more than it is. Instead, each area within business intelligence and data management are still fairly siloed in the same way many organizations manage their data. However, it seems like the best way to actually manage disparate data entities, ensure effective governance and stewardship initiatives, and successfully manage the overall flow of data should include a data visualization component to provide alerts and a high level view of project metrics.
Overall, organizations are looking for ways to adequately manage and gain visibility into their data management initiatives, but don’t have anywhere to turn to in order to get the answers to these requirements. Whether this is because solutions available in the market are few and far between or because it isn’t seen as feasible to package front-end data visualization with data management solutions, the growing reality is that organizations are building these solutions on their own. Instead of waiting for a market need to be satisfied, companies are focusing on the development of their own dashboards that are tied to their data management initiatives, whether data quality, customer facing, or within a business intelligence framework.
In addition to independent dashboard development, interest from workshop participants seemed to lie in the development of effective metrics and the best way to visualize data related performance indicators. As with all projects, there is no one-way to do things and each company may develop solutions that are unique. However, it is quite likely that no set framework currently exists to help solve dashboard related issues within the realm of data management.
As data management initiatives mature within organizations, the existence of siloed solutions will disappear. Businesses require the ability to create end-to-end solutions or apply a piece meal approach based on their individual needs. And, possibly through partnerships, data management offerings will expand to provide companies with solutions that extend from the data infrastructure layer through to the front-end visualization and performance management layer.
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 firstname.lastname@example.org. And please visit Lyndsay's blog at myblog.wiseanalytics.com.
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