During that period reporting systems was static, two dimensional, and had no analytical capabilities. The demand for dynamic multidimensional reporting systems for predictive and intelligent decision-making pushed BI to develop.
In nineties, organizations have stored huge amounts of data by building online transaction processing (OLTP) systems and ERP systems, call centers, and the Internet. In pursuit of better data management enterprises build data warehouses (DW), data marts, and installed extract transform load (ETL) tools to work with data warehouses. But very few of these data were processed into information, and even less was used for decision support systems, largely because of the lack of tools to access and analyze the data for business users
ERP systems have positively transformed many enterprises’ business processes, yet many users feel oversold because ERP appears to inhibit access and lock up vital information. In most traditional ERP systems operational activities are grouped together to form artificially created processes, which bear little resemblance to the actual business activities. For example, the focus of ERP has often been to get the correct figures into the general ledger (GL) and create a transactional glut.
Conversely, BI, which has for few decades been called executive information systems (EIS), offers a new breed of similar, but more insightful and functional tools to help enterprises operate more efficiently and profitably. Many manufacturing and distribution enterprises of all sizes are amenable to leveraging software that would not only sense the daily pulse of the operations, but would also spot incongruities, analyze the performances of multiple areas, and initiate corrective adjustments. BI tools promise to help “rank and file” employee’s harness data too complicated for manual manipulation. For instance, few departments are as hard pressed for new tools as purchasing and sourcing, where rapid increases in materials costs, greater deviations in lead times, and supplier base growth and instability require ever increasing buyer dexterity. BI can provide this dexterity.
ERP systems have positively transformed many enterprises’ business processes, yet many users feel oversold because ERP appears to inhibit access and lock up vital information. In most traditional ERP systems operational activities are grouped together to form artificially created processes, which bear little resemblance to the actual business activities. For example, the focus of ERP has often been to get the correct figures into the general ledger (GL) and create a transactional glut.
Conversely, BI, which has for few decades been called executive information systems (EIS), offers a new breed of similar, but more insightful and functional tools to help enterprises operate more efficiently and profitably. Many manufacturing and distribution enterprises of all sizes are amenable to leveraging software that would not only sense the daily pulse of the operations, but would also spot incongruities, analyze the performances of multiple areas, and initiate corrective adjustments. BI tools promise to help “rank and file” employee’s harness data too complicated for manual manipulation. For instance, few departments are as hard pressed for new tools as purchasing and sourcing, where rapid increases in materials costs, greater deviations in lead times, and supplier base growth and instability require ever increasing buyer dexterity. BI can provide this dexterity.
The demand for dynamic multidimensional reporting systems for predictive and intelligent decision-making pushed BI to develop. With the advent of new technologies and applications, BI came to its present state and is continuing to grow every day. BI today is capable of multidimensional analysis of data to see 360 degree business insight, statistical analysis, and forecasting to help better decision support systems.
The advent of technology and the increasing demand from companies, regulatory concerns to have better information, pushed BI systems to evolve.
Nowadays, popular uses of BI include management dashboards and balanced scorecards, collaborative applications, workflows and alerts, analytics, enterprise reporting, financial reporting, and customer and partner extranets. These solutions, some of which will be described in more detail later in this report, will enable companies to gain visibility into their business, acquire and retain profitable customers, reduce costs and access time. They will also be able to detect patterns, optimize the supply chain, analyze project or product portfolios, increase productivity, and improve financial performance.
Furthermore, most of the BI software vendors have now released web-based versions of their solutions. Companies can now easily and at a low cost give users access to large amounts of corporate data and sophisticated analytical tools. By providing access to the Internet or an intranet connection, a person can investigate and analyze data from home, when traveling, or from any other location at which they may happen to be.
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