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By Kim Hanmark<\/strong><\/em><\/p>\n The success or failure of any Business Intelligence project ultimately depends on the accessibility of critical data to the right people, at the right time. In order to achieve success, savvy businesses understand the importance of first selecting the right type of BI solution design. For many, a bimodal approach \u2013 which offers the best of both traditional and modern BI \u2013 will best meet business needs. To begin, traditional and modern BI are each defined by Gartner<\/a> as follows:<\/p>\n \u201cTraditional reporting-based BI platforms<\/strong> and supporting processes are not designed to support the current pace and dynamic nature of business change or the exponential growth in terms of the sources, volume and complexity of data.\u201d<\/em><\/p>\n \u201cModern BI platforms<\/strong> must be agile, user-friendly and trusted to support the expanded \u2014increasingly mission-critical, time-urgent and dynamic \u2014 role of analytics in driving competitiveness and creating business value.\u201d<\/em><\/p>\n Both the traditional and modern BI models have certain strengths and weaknesses. For example, as traditional BI leverages a data warehouse this ensures that no matter where the information is coming from, it will be delivered to information consumers consistently from a single common data model. But, this can also be very cumbersome, and prevents experimentation. Traditional BI isn\u2019t conducive<\/a> to making decisions on the fly.<\/p>\n But, there are also drawbacks to modern BI. For example, what if your company acquires another business, or goes through a merger? That means you have a whole new set of data to consider, and most modern BI tools won\u2019t be able to get your teams up and running very quickly \u2013 these tools are built for agility and speed, but only when the data is already cleansed and fully integrated. No one can wait around for a year or more to use internal data, and then wait even longer to start working in external data.<\/p>\n The importance and power of the self-service BI approach is clear. However, for companies that already have a data warehouse system, it may be worth considering a solution that provides the best of both worlds:\u00a0a bimodal BI environment<\/a>. Here are the top three reasons why businesses should consider a bimodal approach to BI:<\/p>\n In sum, businesses should consider a tool that offers the speed and user-friendly aspects of modern BI, but leverages the tried-and-true scalable modules of a traditional BI tool that allows users to do the hard work on the back end. Users are able to leverage information as it is analyzed, not wait around for every piece of information to be integrated first.<\/p>\n <\/p>\n\n
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Kim Hanmark<\/a>, Director of Professional Services, EMEA at TARGIT<\/a>, has worked within the technology since the early 90’s. He started as a software developer, building solutions for enterprise class companies. After the IT bubble burst in 2001, he transitioned into business management with a technology perspective. He spent the last five years helping large corporations successful increase the adoption of Data Management technologies.<\/p>\n
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