By bridging the gap between raw data and analysis, Trifacta empowers non-technical users, such as data analysts and self-service business intelligence users, to quickly understand complex data and get answers to their questions. These accelerated insights lead to significant cost savings as well as increased revenue. As the demand for data wrangling picks up, the market increasingly recognises it as a stand-alone category with a growing number of analysts producing research on trends and best practices. Today, data wrangling is taking centre stage as an integral part of an organisation’s analytics success.
Project
Trifacta helps with the cleansing of big data sets. A collaboration will enable us to perform data cleansing on complex customer data, for example used in regulatory support. This means data can be edited much faster and with greater efficiency. Deutsche Börse is currently looking into ways of integrating Trifacta’s service offering into their own. One potential aim would be to create a front-end application which will enable customers to correct their own data on the fly.
