InetSoft BI Webcast: Best Usage of Business Intelligence Software

What are the steps to being a best user of business intelligence software?

This is a continuation of the transcript of a Webinar hosted by InetSoft in January 2017 entitled "Best Practices for Deploying and Using Business Intelligence Software." The speaker is Mark Flaherty, Vice President of Marketing at InetSoft.

Mark Flaherty (MF): The first step has to do with collecting and preparing data for use in a BI application. This has to do with data management, aggregation of data from the numerous disparate data sources they may have, how they are transforming and cleansing that data, and how they are able to deliver the right data to the right people in a timely fashion.

The best companies have increased the number of employees with access to BI applications. They have also been able to decrease data management infrastructure costs. A major source of infrastructure cost comes from data integration. One of the areas of reduced cost can come from the avoidance of data warehousing by using a solution such as InetSoft's where the BI application accesses operational databases directly.

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There has, in fact, been some focus by many enterprises on reducing their data management costs. They cite reasons such as reducing the time to information, which has to do with the time lags that data warehousing introduces, as well as reducing overhead costs around data management. In addition, enterprises are striving to improve their data management strategy in order to be able to deliver BI capabilities to more people, to simplify data access for them, and to improve ease of use of the BI tools they select.

The next steps to becoming a top user of business intelligence have to do with the strategic actions companies employ around their BI project. They take time to understand end-user requirements, and they create a data management strategy roadmap. They plan in advance how they are going to measure data access performance so they can stay on top of data and usage growth.

They don’t spend too much time identifying every single data source out there. Rather they add them in over time, making sure to get the most important data available right away. In terms of employee strategy, they make an effort to establish an information culture that values the collection, management, delivery, and use of corporate data.

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