Data intelligence tools organize and deliver data sets in a useful form. They extract and present insights in reports, dashboards, and visualisations that enable business users to identify patterns and gain understanding. The tools also identify and highlight relationships between data points. Some examples of these are data ingestors, which collect structured and unstructured information from multiple sources, cleanse it, and harmonise it; and data catalogs, which leverage behavioral metadata to connect people with their desired datasets, speeding up analytical efficiencies.
Some of the top vendors in this space include Alteryx, which focuses on data preparation and data blending to help you create a single source of truth for analytics with repeatable workflows. It can help you collect, cleanse, integrate and analyse data from a wide range of cloud applications, databases, spreadsheets, and more. Microsoft’s Power BI is another big player in the field, with both cloud-based and on-prem capabilities. It combines data preparation, self-service BI, and a powerful visual design tool with an active community. It also offers built-in data integration and supports a range of analytics and BI use cases.
Other tools, such as Thoughtspot and Sisense, offer self-service business intelligence and analytics with an emphasis on visual exploration for both technical and nontechnical users. They support ad hoc analysis, embedded analytics, and high-performance cloud platforms. Thoughtspot’s SpotIQ identifies relevant and insightful connections in the data, while Sisense’s SQL-based platform was designed with the needs of SQL experts in mind.
toData 