Converting, cleansing, and structuring data into a usable format
The effective data transformation tool for collaborating with data analysts, engineers, and scientists, as well as streamlining processes and preparing them for advanced analytics. Data teams may simply analyse, verify, and speed data transformations by employing its AI-powered self-service model.
What is Data Transformation?
The systematic method of converting data from one format or structure to another is known as data transformation. Typically, data transformation is carried out using extract, transform, and load (ETL) technologies. Data transformation is an important phase in data integration since it prepares and preserves data for further analysis, reporting, and visualisation.
Finworks easily extracts data from diverse sources, cleans and structures data into a usable format, and then processes and enhances data before loading it into data warehouses or other tools in the data cloud platform.
Finworks data transformation helps organisations;
To collaborate on active operational analytics
An ever-expanding set of functions (SQL, NoSQL, Python) provides an all-in-one tool for creating, synchronising, and automating your datasets
Data teams may simply analyse, verify, and speed data transformations by employing its AI-powered self-service model
Data enrichment is the process of enhancing existing information by supplementing missing or incomplete data. The data enrichment phase modifies the data to reduce its amount or improve the information content.
Our powerful, easy to deploy software enables you to continuously gather, manage, question and learn from all the data available to you, and make significant ongoing improvements to your business as a result.
