Business intelligence development demands best practices

The introduction of better and more exciting business intelligence programs has colored the past few years of the enterprise IT technology market. Delivering value from information resources that have always been present is the name of the game for these solutions and a number of developers have entered the market to respond to the hype and deliver powerful solutions that fit organizations' needs. Of course, there comes a risk every time a product or service becomes the object of hype and outsized promotion: There is every chance that users will not employ enough care, barreling forward without considering their own needs. It's best practice to sidestep this worry with BI.

The process of using analytics
Selecting and employing a great business intelligence suite is not an instant decision or one that should be made carelessly. The upside of a successful deployment is improved performance in just about every element of business. The downside of a problematic process is falling behind competitors that already have systems in place. Business 2 Community contributor Robert Cordray recently gave some tips that can help organizations dodge the pitfalls and reach an end product that satisfies leaders and users alike.

He explained that there is some value in engaging workers in the planning stages of business intelligence, rather than keeping the strategy with a few high-level managers. According to Cordray, this means that these employees won't end up alienated by a process that was picked without their help. They are the ones who will carry the process, meaning they should be on board.

Cordray also argued against letting delays add up. Dealing with hard deadlines can help companies, as constantly tinkering with an unfinished analytics platform is not to anyone's benefit. The author opined that IT changes quickly today, and this magnifies the need for snappy deployment. Organizations don't want irrelevant or weak solutions that are targeted at their needs from months or years ago.

New sensors
One of the latest-breaking trends in analytics has been the addition of new data sources. Applications that can combine many different types of information have taken on a new meaning in the wake of the Internet of Things trend. This involves sensors being present in everyday objects, opening up insights into their use. Such content could be a boon to advanced BI developers and, according to IDC, analytics is one of the key concepts tied to the IoT's development. After all, analyzing data is one of IDC's four pillars of future IT development.

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