Missing Business Intelligence Elements

Elements your Business Intelligence solution is probably missing

Business Intelligence solutions change as per their industry norms. Here are some essential elements for BI solution for

Multiple organisation have invested in Business Intelligence solutions depending upon their agenda or as per their industry norms. No matter what your agenda is or which circumstances you are working in, here are some essential elements you should include in your Business Intelligence solution to optimise your business.

BI software tools:

Data analysis and Ad-hoc reports are the most common features any Business Intelligence package has. At the starting of your business probably excel sheets would have done the job but with growing business and the amount of data generated you need to move to a dedicated analytics solution such as Tableau, SAS, QlikView or Domo. These tools provide features like

  • data analysis,
  • data visualisation,
  • ad hoc analysis,
  • dashboards,
  • ad hoc query tools,
  • ad hoc reports,
  • KPIs,
  • and performance metrics

Executive Dashboards:

Personalised dashboards help decision makers with insights enabling faster response time and providing a more real-time understanding of internal and external events. Helps deliver easy to the understanding of KPI’s and summarised information on a regular basis.

Interactive reports:

Reporting is one of the major features you need to focus on, the wide variety of views should be customised as per the business requirement. Taking advantage of features like regression, statistical analysis to gain insights about trends and forecast on the basic data. Also, there should be a facility of report scheduling; there is no use if the created reports don’t reach the exact people who will benefit from them. Hence using email scheduler for mailing the reports in exact format will help employees draw out pixel perfect inferences.

In-memory analysis:

Your Business intelligence solution must have this fascinating feature of in-memory analysis which is powerful and easy to use. While other analyses require expertise to use or IT knowledge this in-memory analysis help in drill down, group filter or pivots can be easily applied to compare performance over some time, customer segment or different geo without any complex queries.


Online analytical processing is a database technology which organises data hierarchically and stores it in cubes. This functionality makes OLAP one of the must-have in your business intelligence solution.


No matter which industry you are working in these are some essentials you need to include in your business intelligence solution.


You May also like to Read:

Business Process Reengineering Advantages and Disadvantages
5 reasons why Business Intelligence (BI) is the discipline of the future


About Jason Hoffman

I am the Director of Sales and Marketing at Wisdomplexus, capturing market share with E-mail marketing, Blogs and Social media promotion. I spend major part of my day geeking out on all the latest technology trends like artificial intelligence, machine learning, deep learning, cloud computing, 5G and many more. You can read my opinion in regards to these technologies via blogs on our website.

Leave a Comment