Business Intelligence & Analytics


Business intelligence & Analytics solution and services from Simian connects people with information when, where and how they need it, in an easy-to-use way, so they can make better decisions, faster.

Business Intelligence (BI) is a broad category of applications and technologies for gathering, storing, analyzing, and providing access to data to help enterprise users make better business decisions.

BI applications include the activities of query and reporting, online analytical processing (OLAP), statistical analysis, forecasting, and data mining.

Business Intelligence often aims to support better business decision-making. Thus a BI system can be called a decision support system.

Business Intelligence capabilities are classified into 4 categories:

  • Reporting

- Consistent information across all report output
- Gives an access to a complete list of report types
- Enables collaboration across users
- Adaptable to any data source

  • Analysis

- Explore multiple dimensions of information
- Perform complex analysis and scenario modeling
- Reveal causes and symptoms
- Drill-down from summary to detail levels of information

  • Dashboards

- Provides at-a-glance, high impact views of complex information
- Help quick focus on issues that need attention and action
- Highly visual and intuitive
- Combines information from different sources

  • Scorecarding

- Provides instant measurement relative to target and benchmarks
- Align decisions and tactics with strategic initiatives
- Support scorecarding methodologies
- Ensure ownership and accountability


Business analytics (BA) refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning.

Knowing what happened is no longer adequate. Leaders say they need to know what is happening now, what is likely to happen next and what actions they should take.

Business analytics makes extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to drive decision-making.

Analytics may be used as input for human decisions or may drive fully automated decisions.

In Summary

Business intelligence is a re-active approach in analyzing data. It can help in addressing questions such as: What happened? How Many? How Often? Where? When?

Business analytics is a pro-active approach and complements BI for questions relating to what-if or predictive analysis such as: What if these trends continue? What will happen next? What should we do in a certain scenario/condition?  What is the best that we can do given that scenario/condition?