First let me start off by defining Business Intelligence as defined by Business Journal International Weekly. “Business Intelligence is a set of theories, methodologies, processes, architectures and technologies that transform raw data into meaningful and useful information for business purposes.” Over the past 10 years business intelligence has soured in popularity to what is now, a $15.8B a year business, with an estimated 55 percent of companies today using some form of Business Intelligence or Business Analytics solutions. According to Gartner, “by the year 2020 researchers show an estimated 75% of companies globally will rely on Business Intelligence to run their companies.” Who would have thought this number would get so high? Continue reading this post>>
As someone who interacts day-to-day with BI developers, consumers and the IT folks who make the whole BI infrastructure function, I have firsthand, in-depth knowledge of the range of logistics that’s required to successfully bring an application from server to client user, regardless of whether the user is sitting in a corporate cubicle or perched on a coffee house stool, somewhere downtown.
I like to break these logistical things down into 2 categories. Continue reading this post>>
With 2014 coming to an end faster than anyone could ever imagine, the time to start thinking and planning for 2015 has fast approached us. With the start of a new year comes a number of technology changes to consider. With the following new BI Trends, Business Intelligence (BI) should not be on the long list of things for any organization. While some of these trends are already being implemented, with the potential to expand over the next year, there are a number of proposed changes that could fundamentally shift business processes. Below we will uncover what to expect when looking into BI trends for the year of 2015. Continue reading this post>>
Data analysis is considered to be a core component in business intelligence systems. The importance of data analysis pushes some company leadership to opt for outsourced data analysis while other business leadership prefers to stick with in-house data analysis. Let’s first take a look at the role of data analysis in business intelligence. Data analysis converts raw data gathered using different tools into meaningful data, which is usually presented to managers through reporting tools, and will aid managers in decision making. Ultimately, good data analysis leads to good decision making and successful business practices.