Using data to make business decisions can be traced back to the 1800s with Florence Nightingale pioneering the use of applied statistics to create visual ways of displaying data. However, things got really interesting at the beginning of the computer age in the 1960’s when the first super computer applications were designed to process transactions. From there, varying degrees of computer software developers designed programs to assist managers in making fact-based decisions.<\/p>\n
Modern-day Business Intelligence tools are largely dominated by self-service capabilities, providing a wide audience of users the appropriate features they need to get their jobs done. This is a complete contrast from the past where software solutions were dominated by advanced functionality that only the very few technical users could understand.<\/p>\n
In the final iteration of a three-part presentation series, Data Analytics software vendor Phocas<\/a> shares their view of what Business Intelligence tools will look like in the future (see past<\/a> and present<\/a>). Without giving too much away, let’s just say that the cloud plays a heavy role<\/a>, delivering feature capabilities at a lower cost with faster deployment and flexibility. In addition, the company believes that the practices of discovering insights from data will continue to expand, producing an environment of increased collaboration which will lead to the rapid proliferation of Advanced Analytics<\/a> in the enterprise.<\/p>\n <\/p><\/div>\n