Rajiv has been helping clients take informed decisions and ‘see the invisible’ using descriptive and predictive analytics, Big Data and Advanced Analytics.
In his previous thought leadership role, he was leading the Business Intelligence & Analytics (BI & Big Data) Practice at one of the largest US Retailer. He was instrumental in setting up the offshore Centre of Excellence for Information Analytics & Innovation.
In his earlier roles, he has led Business Intelligence & Analytics initiatives for very large Retailers & Telecom organizations.
Rajiv is a well known visionary in Information Management & Analytics Arena. He has chaired multiple conferences and actively participates at global events and seminars as speakers.
Phil understands the need for speed to translate raw data into meaningful information, to take strategic decisions based on enterprise data, predictive analytics & big data framework. His unique perspective about transforming both structured & unstructured data at scale into value is the need of business today.
Phil is recognized as an industry leader, speaker and educator in the use of Big Data technologies and techniques, Advanced Analytics and modernization of legacy systems.
Phil lends his experience as an advisor and Director of DataMetica to ensure that the Big Data services are aligned with client needs.
An early implementer of Big Data technologies, Deepak has a wealth of knowledge in Big Data. His natural leadership skills have been an asset in challenging projects, and have been a key factor in ensuring quality service to the clients. Deepak is a good orator and is often invited to speak at various CSI chapters and other seminars on Big Data implementation.
Niraj is well-versed in establishing best practices and governance for development and architecture teams. He plays a crucial role in evaluating and acquiring tools in open source technologies to minimize costs, yet improve performance.
As an early implementer of Hadoop in Big Data Solutions, Niraj has had the opportunity to work on large projects and adds tremendous value to the architecture and solution areas of new Hadoop projects and environments that target big data processing activities.