Data Engineering
Data engineering is the aspect of collecting and curation of data assets which would help a data scientist or analyst to derive insights from the same easily as possible.

Data Science
Data science is a concept to unify statistics, data analysis and their related methods” in order to “understand and analyze actual phenomena” with data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, domain knowledge and information science.

Training
Big data Trainings of Administration and Development.
Whiteklay Certified courses on Big data.

Product
Realtime Self Service Secured Data Exchange Platform – IZAC

A Unified Data Ecosystem
Platform enables you to seamlessly Share Data across multiple stakeholders and applications. Exchange data between business users, analysts, vendors and management counterparts. Provisioning a central data repository increasing data transparency and visibility.

Monetize Data Assets
A unified data market place where stakeholders can subscribe to data assets and use it for their purpose of analysis, reporting or dashboarding. Provisioning an innovative mechanism for data commerce for organizations. Additionally, explore your data sets using a prepackaged superset visualization platform.

Better Transparency
Get a full visibility of the all the data sets across the organization. Platform allows you to control and govern access to your data when sharing data within your company and externally with suppliers, partners, or customers by Membership management. Platform provisions the Grant and revoke access to data thereby providing you with security controls.

Quick Decision Making
Break down data silos and increase the time to market and reporting. Platform enables you with an easy UI based platform targeted towards business analysts to explore datasets and drive insights faster, this substantially reduces the time develop a data lifecycle.

AI Solutions & Use Cases

• Information Lifecycle Management
• Card Transaction Analytics
• Customer 360
• Fraud Analytics
• IOT Hub Analytics
• Predictive Maintenance
• Energy Usage Analytics
• Customer Loyalty Management