Organizations today have become more data driven as they embark on digital transformations to accelerate time to value, reduce costs, improve efficiency, and deliver trusted insights. As businesses grow, they generate massive amounts of data every day. This data comes from different sources such as mobile phones, the Internet of Things (IoT) sensors and various applications.

Enterprises and businesses need to scale and modernise their data architecture and infrastructure in order to cope with the demand to stay competitive in their respective industries. Having cloud-scale analytics capability is the go-to strategy for achieving this growth.

Data Analytics can help an organization in number of ways, a customer centric organization will look forward having a better customer analytics. This will help in understanding their customers better and target them accordingly.

The cloud model for Modern Data Warehousing is not only flexible and scalable, but it is also cost effective due to its unique elastic properties. Analytics workloads are one scenario where the elasticity truly shines.

With the help of a cloud service provider such as Microsoft Azure, you can accelerate your data analytics practice without the limitations of your IT infrastructure. The game has changed in terms of maintaining IT infrastructures, as data lakes and the cloud data warehouse are capable of storing and maintaining massive amounts of data

Join an exciting ET unwired Session to understand how Microsoft Azure platform can help in performing better data analytics on cloud.

Prafulla Wani
Senior Cloud Solution Architect
Microsoft