The OLAP technology

How data is prepared for online analytical processing (OLAP)

Online Analytical Processing (OLAP) is a powerful computational method that enables users to effortlessly extract and request data from various angles for conducting in-depth analyses. OLAP systems find common use in Enterprise Performance Management (EPM) and Business Intelligence (BI) systems, performing tasks such as trend analysis, financial reporting, sales forecasting, budgeting, predictive analytics, and planning.
OLAP systems function by gathering data from various sources and storing it in data warehouses. Subsequently, the data is organized and cleansed, forming data cubes. Each cube comprises data categorized by dimensions like customers, geographic sales region, cost of goods sold, and time period. These dimensions are populated with members, such as customer names, countries, numbers, and months, arranged hierarchically. To optimize query speed, OLAP cubes are frequently pre-summarized across dimensions, leading to notable performance enhancements compared to relational databases.

OLAP technology has the potential to elevate
your business to new heights

OLAP technology systems offer incredible capabilities for manipulating and analyzing data. Olapsoft, in particular, provides a significant performance boost compared to using spreadsheets, leading to a drastic improvement in speed and efficiency. With OLAP technology, there is no need for overnight data loads or the exchange of spreadsheets. Furthermore, you no longer have to wait for your colleagues to complete their work before you can begin consolidating information.
  • Moreover, OLAP provides the ability to distribute roles and permissions down to a single cell, ensuring that sensitive data is only accessible to authorized users. This prevents unauthorized access and safeguards the confidentiality of your data.

Conducting data analysis with 
an OLAP-based system allows

Drill-up

Summarize data along a specific dimension

Drill-down

Delve deeper into various dimensions, drilling down from higher to lower levels

Slice & Dice

Select a specific level of information for display and choose data from multiple dimensions for analysis

Pivot

Gain a fresh perspective on data by rotating dimensions

OLAP system key features include

OLAP system key features include

Quick ‘what-if’ scenario analysis

OLAP systems simplify the process of modeling and provide quick ‘what if’ scenarios, allowing users to explore the impacts of diverse variables and factors on the strategies while providing a clear and visual representation of the outcomes

Multidimensional Analysis

This enables viewing your data from different angles, providing a deeper understanding of trends and patterns

Consolidation 
and Aggregation

By summarizing data across dimensions, higher-level insights can be obtained, reducing the complexity of information. Aggregating data also improves performance, as calculations are precomputed and stored for faster retrieval

Drill-Down and Drill-Up

OLAP systems offer the ability to explore data at different levels of detail, allowing users to start with a high-level overview and progressively drill down into specific subsets of data to uncover underlying factors. Conversely, users can also drill up to get a broader perspective and summarize data as needed

Time-Based Analysis

OLAP’s ability to slice and dice data by time dimensions facilitates easy comparisons like year-over-year or month-over-month, aiding in identifying growth or decline patterns

Advanced Calculations

OLAP systems provide a wide range of built-in functions and calculations for performing complex analyses, such as ratios, percentages, or moving averages across dimensions, offering powerful analytical capabilities

Data Visualization

 OLAP systems often integrate with data visualization tools, allowing the creation of interactive and visually compelling dashboards and reports. Olapsoft, in particular, provides embedded BI-tools, eliminating the need for additional software for comprehensive data analysis and visualization

Through OLAP, users gain a deep understanding of their data, uncover valuable insights, and facilitate informed decision-making.

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