Business Intelligence (BI) Dashboards serve to ease the effort required to analyze large amounts of data by managers, executives and other personnel who are, to a degree, disconnected from the underlying processes that ensure the accuracy and availability of those dashboards. Many objects exist, such as gauges, charts and graphs, to make dashboards easier to understand and decision-making processes more efficient. However, there’s a fine line between a dashboard that quickly and effectively provides information that is actionable and a dashboard that only spawns more questions and delays action; action that may need to be initiated urgently. Continue reading this post>>
Business Intelligence is a powerful tool, designed for the modern business environment.
One of its primary goals is to enhance performance evaluation, by utilizing benchmarking, data visualization, measurement analysis, data mining, all combining to facilitate your organizations’ requirements for forecasting the future trends in your industry and thereby optimizing informed, data-driven decision-making at all levels of your business. Continue reading this post>>
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>>
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>>