Learn OLAP and Business Intelligence
What is OLAP and What are the Advantages?
OLAP is an acronym for Online Analytical Processing. OLAP performs multidimensional analysis of business data and provides the capability for complex calculations, trend analysis, and sophisticated data modeling. It is quickly becoming the fundamental foundation for Intelligent Solutions including Business Performance Management, Planning, Budgeting, Forecasting, Financial Reporting, Analysis, Simulation Models, Knowledge Discovery, and Data Warehouse Reporting. OLAP enables end-users to perform ad hoc analysis of data in multiple dimensions, thereby providing the insight and understanding they need for better decision making. Learn More
Free OLAP and BI Tutorials
PARIS Technologies features a set of exercises designed to introduce you to the fundamentals of OLAP by using step-by-step procedures to create an OLAP model. These example steps use PARIS’s OLAP product PowerOLAP, but you’ll find that the concepts of Cubes, Dimensions, Slices, multidimensionality, etc., that are demonstrated using PowerOLAP are representative of OLAP in general. View Tutorials
OLAP and Database History
The history of databases starts from the pre computer era where data was collected in the form of punch cards all the way to what we know now as computer programs that collect data for effective analysis and decision making. Before computers became mainstream punch cards were used as a means of data collection. Eventually Punch cards used in early computing machines had a maximum of 22 columns and 8 punch positions with a capacity of 960bits. OLAP is not a new concept and has persisted through the decades. As a matter of fact, the origin of OLAP technology can be traced to 1962. Kenneth Iverson introduced the base foundation of OLAP through his book “A Programming Language” (APL), which defined a mathematical language with processing operators and multidimensional variables. Read History
OLAP and Business Intelligence Terms
OLAP and Business Intelligence has a wealth of terms. Knowing these terms will making using your OLAP and/or BI software solution easier. It may also make it easier to troubleshoot and talk to IT folks when you need to. Here is a list of the most commonly used OLAP and Business Intelligence terms. See Terms
More Articles on OLAP and Business Intelligence
As the fields of business intelligence and business analytics continue to develop and grow, organizations must be aware of the distinctions between the terms and understand their value. Adoption and usage of business intelligence and analytics tools show no sign of...
Business intelligence in action: KPIs can do more than performance management. Defining KPIs can also help businesses to identify threats and opportunities.
Business Analytics vs. Data Science "Business analytics" and "data science" -- are they basically interchangeable terms, or entirely separate professional pursuits? There's certainly overlap on the topic of Big Data and using data to inform decisions. There is no...
What is Business Analytics? Science and business continue to intersect, most recently on the topic of data analytics. Generally speaking, "data analytics" is the process of organizing and interpreting data to uncover valuable information. "Business [data] analytics"...
OLAP and Hadoop: A Great Pairing OLAP continues to be a relevant and exciting technology, most recently in pairing OLAP and Hadoop. As we are OLAP.com, we have ALWAYS seen the value of OLAP technology. We admit OLAP has been a bit out of style the last few years. Some...
Excel reports are just not cutting in today’s world of even larger and more complex organizations. Thankfully, there is a solution that not only gives companies the capability to access large amounts of data at the speed in which there is no “waiting around” time, but it enhances the every day use of Excel. Let’s take a look at how this is possible.