What are the requirements of users for a business intelligence platform? Most BI users are task workers who consume reports to improve performance and make decisions. Perhaps five to ten percent of these users are technically savvy, but few have the time to perform detailed analysis as part of their job functions. The vast majority, therefore, require easily consumable information without complex queries. This article will discuss these user types and how they relate to BI requirements.

Data connectivity

Data connectivity is necessary for businesses to take full advantage of their BI solutions. Many organizations require access to multiple data sources, but a traditional BI solution includes a data warehouse and ETL. This creates a high-performance bottleneck and often adds additional complexity. In addition, data warehouses must be able to anticipate what users want from the system. On-demand data storage can avoid this problem by reducing transactional databases’ load and improving the user experience.

When choosing a BI solution, consider how much customization is required. While some software vendors provide customization, others have only basic functionality. When selecting a vendor, ensure that the vendor provides training and technical support. Make sure to ask the vendor whether they provide priority support for their products and if they provide any subscription model. A good vendor will offer both. If you are buying for an internal business unit, consider getting a premium technical support plan.

Data management

The key to a successful BI platform is a comprehensive solution to manage data. Data management is a broad domain involving obtaining, integrating, and maintaining data. Data management strategy should align with business objectives. The following tips will help you choose the best solution for your needs. Read on to learn more about the features of a business intelligence platform. When selecting a business intelligence platform, look for a solution that enables data integration and security. Most BI vendors include data management capabilities. But not all platforms are the same. While some platforms are designed to handle data integration and data storage, others are focused solely on reporting and analysis. This means that data management is an important feature to consider. However, it isn’t the only consideration.

Data manipulation

A Business Intelligence (BI) platform should accommodate the various types of data you need to analyze. Raw data is collected from all activities in your business and then processed and stored in a data warehouse. This data is then made available for analysis by users. The process of data manipulation and visualization begins with the preparation of the raw data. To ensure accurate and timely results, you should use an advanced BI tool that meets your data manipulation requirements.

While full-featured BI platforms are the most popular BI technology, there are many other types of BI tools. Many vendors have dedicated data discovery and analysis tools to support embedded BI applications. For example, GoodData and Logi Analytics target embedded BI uses. ThoughtSpot and Sisense are aimed at BI dashboard specialists. Both companies offer data discovery and analysis tools to help business users create effective dashboards.

Data processing

A data processing requirements-based business intelligence platform combines several components to analyze, interpret, and report data. The first step is gathering raw data, which is then cleaned, organized, and checked for errors. This clean data is then entered into a destination system and converted to the appropriate language. In a nutshell, data input is the first step in turning raw data into useful information. Ideally, a BI platform should enable data-driven decision-making by facilitating the use of data.

This system, available for small and enterprise-level organizations, provides users with business analytics, data visualization, and a 360-degree view of their customers. It connects to existing company databases and allows users to combine, drill down, and analyze data in real-time. With this platform, users don’t have to worry about installing and maintaining a complex hardware setup or IT department.