Home Resources

ElegantJ BI Business Intelligence – Glossary of Terms and Definitions

ElegantJ BI Business Intelligence solutions are rich, robust and suitable for all businesses no matter how small or large, no matter the industry or business focus. Our BI products are easy to implement and use. These solutions are simple, practical and affordable, and they are browser-based with a zero footprint and superior interoperability. They require less training and can be implemented – on premises or delivered via SaaS (Software as a Service). Implementation is completed in days or weeks, rather than months or years.

Business Intelligence Resources

This glossary provides terms and definitions for your review. It will help you to understand the language and terminology of the Business Intelligence industry and to better understand the markets, industries and needs served by the BI solution vendors and service providers.

If you do not find the information you need, please feel free to contact us with your questions. Contact Us

Glossary

Locate the term or word by searching this alphabetical listing.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Online Analytical Processing – (OLAP)

Online Analytical Processing is an approach to quickly providing answers to complex analytical queries. Short for Online Analytical Processing, technology approach , it enables fast analysis of shared, multi-dimensional data. Databases configured for OLAP employ a multidimensional data model, which is optimised for complex analytical and ad-hoc queries by using the concept of a ‘cube,’ pre-calculated data dimensions. For example, it would allow a user to ask questions like “How many computers have been sold in Canada this year?”, “Of those sold in Canada, how many were sold to people over 50?”, etc. Refer OLAP Cube for more information.

OLAP Cube

OLAP compiles a set of source data and restructures it into an OLAP cube, which is optimised for analysis. A cube represents pre-calculated dimensions of data available to a user, which, in turn, enables the faster processing. Queries are then run against the cubes. Refer OLAP for more information.

Online Transactional Processing (OLTP)

Online Transactional Processing is a type of system that immediately handles operational data and transactions. This operational system allows the smooth functioning of an organisation’s daily business. Usually OLTP offers no analytical capabilities.

Optimisation

It is a scientific approach to solving problems, the purpose of which is to improve on the subjective aspects of decision-making; thus improving operational efficiency. It calls for the mathematical formulation of the problem and an explicit statement of the desired objectives. The method consists of creating a mathematical model and using computational means to help choose the best schedule of actions among alternatives.

Original Equipment Manufacturer (OEM)

An Original Equipment Manufacturer (OEM) is a company developing and manufacturing standardized products or modules, which are then incorporated into end products using the reseller's brand name. OEM, when used to describe software, is used to differentiate that version of the software which is bundled with other hardware or software from that same software package sold on its own as a retail package. When a customer purchases an OEM product often only a limited number of changes like branding or labeling are done.

If you have any questions or comments, or if you would like to discuss your business intelligence requirements, please please feel free to contact us.

Forecasting Techniques

Performance Management

Combining forecasting with business intelligence technologies can help companies go from having a historical view of their business to having a more predictive view of their business. Available models in ElegantJ BI

Business Intelligence Case Study

Customer Success Story

Download Business Intelligence Case Study

Japan’s large Retail Departmental Chain improves visibility of operational data across distributed stores with ElegantJ BI Business Intelligence Read full story »