Self-service business intelligence software empowers business users to implement and deploy analytics solutions without the help of IT or data professionals, as well as perform data analysis without any coding knowledge. These tools allow the average employee to gain insights from data to better inform decision-making and business strategy.
Self-service business intelligence solutions provide drag-and-drop features and prebuilt templates for querying; more advanced products may even offer natural language querying for simple and fast data discovery. This enables data transformation, modeling, blending, and discovery for non-technical users.
Insights from self-service business intelligence tools can spread to all departments, as these tools can consume data from a variety of sources, including cloud applications such as CRM software or marketing automation, to supply chain and ERP sytems. Additionally, these solutions can connect to databases and big data distributions, or even utilize simple spreadsheet uploads. By providing business users the power to discover unique insights from data, each team can be better informed for decision-making and overall strategy. Some self-service business intelligence products offer embedding capabilities, to deliver analytics to end users through commonly used applications.
Products that require an analytics architecture to be built and deployed by IT departments or data professionals, and require coding knowledge to perform data discovery, are considered business intelligence platforms. Products that can be embedded inside other business applications are considered embedded business intelligence software. Data visualization software encompasses products primarily designed to create charts, graphs, and benchmark visualizations.
To qualify for inclusion in the Self-Service Business Intelligence category, a product must:
Be able to be configured, deployed, and used by average business users without IT involvement
Consume data from any source through file uploads, database querying, and application connectors
Transform data into a useful and relatable model without the need for coding
Support data modeling, blending, and discovery processes without coding
Enable interactive data exploration by the average business user to discover insights beyond KPIs
Empower employees to make business critical decisions based on deep analysis
Create reports and visualizations with business utility