Business Intelligence users in an enterprise

The article shows how the business intelligence applications interact to provide knowledge to the end-users with the tools they need to monitor, analyze, and improve their company’s performance. The recipients of Business Intelligence content are: financial analyst, Sales Vice President, Sales Representative, CFO, Business Data Analyst.

The job positions below show how business intelligence software is used on a daily basis, and how their jobs and the tasks they must accomplish are made easier.

·         Financial Analyst – performs financial ad-hoc analysis of sales data with corporate data.  Once the analysis is complete, new reports and graphs can easily be created and shared with other project stakeholders, and even published back to project workspaces.

·         Vice President of Sales – monitors daily company operations with a Business Intelligence Dashboard with Scorecards that compares current performance against corporate objectives.  When an issue is surfaced on the scorecard, the VP is able to quickly use integrated analysis tools to drill down and identify the problem, and take proactive action to address the situation.  The VP is also able to leverage business intelligence data to quickly view reports for executive review meetings.  Intended as a quick high-level overview of business intelligence capabilities, highlighting the advantages of tight integration between products.

·         Sales Representative – business intelligence can become a part of a knowledge worker’s everyday business process, without them even thinking about it in terms of business intelligence or caring where the data comes from.  Here, a typical sales representative carries out his daily tasks, such as analyzing his sales territory performance and performing a search, while interacting with business intelligence.

·         CFO (Chief Financial Officer) – executives at many top firms rely on balanced scorecards as a crucial way of tracking and quantifying key corporate objectives. 

·         Data Analyst – to fully understand customer behavior patterns and which customers to sell products to, companies are increasingly relying on complex data mining, analysis and static reporting.