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Online Analytical Processing (LAP) for Decision Support Nenad Jukic1, Boris Jukic2, and Mary Malliaris1 1 School of Business Administration, Loyola University Chicago, Chicago, IL, USA School of Business,
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How to fill out online analytical processing olap

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How to fill out online analytical processing (OLAP):

01
Understand the data: Familiarize yourself with the data that you'll be analyzing in OLAP. This includes knowing the source of the data, its structure, and any relevant dimensions or measures.
02
Choose OLAP software: Select an OLAP software tool that suits your needs. There are various options available in the market, so consider factors like cost, user interface, scalability, and compatibility with your other software systems.
03
Define dimensions: Define the dimensions of your OLAP cube. Dimensions are the categories or attributes that you want to analyze, such as time, geography, product, or customer. Each dimension should have a hierarchical structure to organize the data effectively.
04
Design measures: Determine the measures or metrics that you want to analyze within the OLAP cube. These could be numerical values such as sales revenue, profit, or customer satisfaction scores. Ensure that the measures align with your analysis objectives.
05
Create the OLAP cube: Use the chosen OLAP software tool to create the OLAP cube. This involves specifying the dimensions, measures, and any hierarchies within the cube. Make sure to define proper relationships and levels within the cube for accurate analysis.
06
Import data: Import the relevant data into the OLAP cube. This can be done by connecting to the data source, such as a database, and mapping the data fields to their respective dimensions and measures within the cube. Verify the imported data for accuracy.
07
Explore and analyze the data: Once the OLAP cube is filled with data, you can start exploring and analyzing it. Use the OLAP software's features to slice, dice, drill down, and roll up the data based on different dimensions and measures. Generate reports and visualize the results to gain insights.

Who needs online analytical processing (OLAP):

01
Businesses: OLAP is essential for businesses of all sizes and industries. It helps in analyzing sales data, customer behavior, market trends, and other relevant metrics that support decision-making processes.
02
Data analysts: Professionals who work with data, including data analysts, data scientists, and business intelligence specialists, can benefit from OLAP. It provides them with a powerful tool to slice and dice data, perform complex calculations, and discover patterns or trends.
03
Management teams: OLAP is valuable for management teams who need to make strategic decisions based on data-driven insights. It enables them to explore key performance indicators, monitor progress against goals, and identify areas for improvement.
In conclusion, filling out online analytical processing (OLAP) involves steps like understanding the data, choosing the right software, defining dimensions and measures, creating the OLAP cube, importing data, and analyzing the results. OLAP is needed by businesses, data analysts, and management teams who rely on data analysis for decision-making and strategic planning.
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OLAP is a computer-based approach to extracting business data. It is used for reporting, visualization, and data mining.
Businesses or organizations that want to analyze and report on their data using OLAP technology.
OLAP can be filled out using specialized software that is designed for data analysis and reporting.
The purpose of OLAP is to help businesses make better decisions by providing access to timely, accurate, and relevant data.
Information such as sales figures, customer demographics, and product performance are typically reported on OLAP.
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