OLAP allows you to organize data in a multidimensional model that makes it easier for business users to understand the data and use it in a business context, such as a budget. Online analytical processing is a computer processing technology that allows the rapid execution of complex analytical queries. It is an important part of business intelligence, as it provides powerful capabilities for data mining and trend analysis. OLAP helps you quickly analyze large amounts of data from different perspectives.
OLAP is the acronym for Online Analytical Processing. OLAP performs multidimensional analysis of business data and provides the ability to perform complex calculations, trend analysis and sophisticated data models. Nowadays, many spreadsheet users have heard of OLAP technology, but are not sure what OLAP means. Basically, it is based on the enormous amount of data that is called a data warehouse; it collects the necessary data from the data warehouse and performs the analysis required by the company to make some decisions in the company in order to improve profits, sales, branding and marketing, etc.
The features of OLAP in business intelligence aim to allow companies to monitor and track their issues taking into account multiple variable factors that matter. OLAP, or OLAP (online analytical processing), is a powerful technology behind many business intelligence (BI) applications that discover data, report visualization capabilities, complex analytical calculations and predictive “what if” planning, budget planning and forecast planning. A company that can take advantage of it and turn it into shared knowledge, precisely and quickly, will surely be better positioned to make successful business decisions and overcome the competition. OLAP is a powerful technology for data discovery, which includes capabilities for the unlimited visualization of reports, complex analytical calculations and predictive planning of hypothetical situations (budgeting, forecasting).
OLAP cube-based tools help to get the most out of business data and to develop the most effective strategy for business development. Each sector or business area is specific and requires a certain degree of custom modeling to create multidimensional “cubes” to load data and generate reports, at a minimum. Together, they represent the “complete business landscape” and provide the basis for all business planning, analysis and reporting activities. Some of the analytical tools (OLAP) are IBM Cognos, Micro Strategy, Palo OLAP Server, Apache Kylin, Oracle OLAP, ICCube, Pentaho BI, JSHypercube, etc.
OLAP (online analytical processing) is the technology behind many business intelligence (BI) applications. It is the basis for many types of business applications for business performance management, planning, budgeting, forecasting, financial reporting, analysis, simulation models, knowledge discovery, and data storage reporting. Business is a multidimensional activity and business is based on decisions based on multiple dimensions.