“Clients have been able to maintain and in some instances grow their revenues while identifying areas to significantly drive down costs. … we find the ROI and value realized by Incorta projects to be unparalleled thanks to the platform’s speed of implementation and long-term ability to evolve and integrate with existing technologies. We are committed to further investments in our relationship with Incorta and taking our strong partnership to new levels.”

“In the current business environment, it is fundamentally important for organizations to empower its users with insights at unprecedented speed, giving them the competitive edge to stay ahead of the curve and be resilient. We envision this partnership with Incorta to contribute significantly towards the success of our clients, enabling faster delivery of data engineering and analytics capabilities while bringing this innovative technology in the forefront of CXOs globally.”

“Our partnership with Incorta has helped our customers in their journey to transform into an Intelligent Enterprise. These solutions help in generating quick insights by analyzing complex business data in real-time. Through our partnership, we are enabling our customers gain rapid insights into their operations and empowering them to make faster and informed decisions.”

“Utilizing Incorta’s end-to-dnd [UDAP] platform has been transformative for native business operations and has helped to create new business models for Wipro. Their partnership has added incredible value to our DAAI capabilities with impactful, speedy analysis for our customers. Our client teams particularly love the real-time operational reporting and ability to drill down into the details that matter most.”

“Our vision is to enable enterprises to store and query their data from a cloud-based data lake such as Azure Data Lake Storage. Incorta’s solution of storing data in a standard Parquet file format enables the rich ecosystem of Azure analytics services and partner solutions to interoperate with this data, helping them realize the benefits of a single, unified data lake.”