If the heartbeat of Business Intelligence is the database management system, then data is the blood that flows through it. It drives everything from yearly budgeting to daily strategic decisions. Dashboards provide snapshot views into critical decision points of a company, and morning reports set daily priorities. It is essential that the level of integrity of the underlying data that supports dashboards and reports remains consistently high. The process that is employed to ensure the integrity of the data has to be based on proper change management and environment control. Without these safeguards, data changes can lead to instability in your system, which could turn into an unrecoverable cascading failure of the integrity of the data that drives strategies and critical decisions. Continue reading this post>>
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>>
The term Data Visualization loosely refers to the techniques used to communicate data or information by creating visual objects that are contained in graphics. The end goal is to communicate information clearly and efficiently to users via the information graphics selected, such as tables and charts. In his 1983 book “The Visual Display of Quantitative Information”, Professor Edward Tufte defines ‘graphical displays’ and principles for effective graphical display in the following passage: “Excellence in statistical graphics consists of complex ideas communicated with clarity, precision and efficiency. Graphical displays should: 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>>
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.