Reimagine The Data Landscape Conclave

Data-driven organizations alone can scale growth and innovation in today’s highly challenging marketing environment. You need precise and timely insights into the vast amounts of data flowing in every second to design the right market response to disruptions, accelerate innovation and increase speed to market.

Organizations that lack robust data strategies often lack data literacy as well, where the decision makers do not have proper visibility into the immense potential of data.

Hexaware’s Conclave attempts to throw light into how businesses can utilize data to respond to, and manage, emerging customer demands and technological changes.

Legacy data warehouses have structured and unstructured data pouring in from multiple sources, and are not equipped to handle this. They do not have robust reporting capabilities to leverage the data and deliver insights. Also, businesses are not sure of the data quality and are not able to run analytics or gain actionable insights from them. Migrating data warehouses and analytical workloads to cloud will help businesses modernize, optimize and fully utilize data.

Data modernization is a critical activity that ensures all enterprise data is of highest quality. For the success of any digital program, the key is to get data into the right format and an accurate context.

The quality of data attributes the trust worthiness of the reports. Hexaware’s data quality engine “HexaRule” comes with pre-defined rules repository for data hygiene and standard business validation for a variety of data thus fast-tracking a key activity in data modernization. Our automated discovery tool, “Data Profiler”, reduces migration scope considerably. Our data modernization platform, “AutomatOn”, reduces efforts in design phase with the help of prebuilt connectors.

This reduces the overall time taken for cloud migration of data warehouses and analytical workloads from several months to less than 6 weeks.

If your business has powerful use cases for leveraging AI/ML capabilities, then we recommend that you consider creating an Analytics Center of Excellence that will help meet your current and future needs. Before you invest in technology, infrastructure and human resources, we can help you evaluate critical data problems and the need for advanced AI/ML capabilities. We will build a small pilot project in 2-4 weeks of time in our lab, following which your team can test its effectiveness. We can also help you successfully set up the Analytics CoE once you decide it is the best option for your unique business needs.