Business intelligence is the process in which strategies are incorporated to analyze the existing data of the business by deciphering trends and patterns to make better decisions for current operations. Business analytics, on the other hand, is the strategy to continue exploring and interpreting data to drive future operations. Although the differentiating line between business intelligence and business analytics may appear confusing, all you need to know is that while business intelligence focuses on past and current data for present functioning, business analytics is all about the prediction for better future plans by analyzing the present data.

Business intelligence and analytics system offers many benefits to organizations.

• Easy data storage and usage
  Business intelligence and analytics tools help bring the stored data to use for the company’s growth. It enables companies to analyze and track trends and use them for their growth with ease.
• Profitable planning
  The results obtained using the system can help brands come up with user-centric campaigns resulting in high engagement with the target audience. The interactive dashboards that are a part of these tools help translate the collected data into intelligible plans for the brand or the company’s growth. A better analytics strategy leads to higher growth.
• Financial control
  Business intelligence and analytics tools can also prove to be useful in not only creating but also launching campaigns and programs.

Data insights generated at the corporate and departmental levels can help identify cost-avoidance opportunities and cases of spending that are wasteful.

Some of the most trust-worthy business intelligence and analytics tools are a complete mix of many factors. They are user-friendly, easy to use and understand, and can be easily shared by the company’s internal system. A few popular business intelligence tools are Datapine, Microsoft Power BI, Tableau Desktop, Sisense, Dundas and Zoho Analytics. A few noteworthy business analytics tools are Python, Apache Storm, Splunk, SAS, R, and Excel.

Although both these terms are often used interchangeably, business intelligence and business analytics stand for different functions. With the increased amount of data available in this day and time, both prove to be an important part of data science and play a crucial role in the current and future functioning of companies. The combined use of both business intelligence and business analytics complement the other and result in maximum goal achieving.