We are witnessing changing enterprise data platform needs due to exponential growth in the size of data to be processed, the need for real-time data processing, data in various structures and formats, an amalgamation of traditional BI and big data systems. These phenomena demand a completely new enterprise platform which is scalable, dynamic, data formats agnostic, quick to deploy and extremely cost efficient for the build as well as operations. Infosys Data and Analytics caters to this need via a focused Data Operations offering. An automation and innovation-driven approach will bring radical improvement to the way platforms are designed, built and supported.
Infosys Data Operations enables building a NexGen platform that caters to various data formats (structured, semi-structured & unstructured), with the right set of tools and technologies while managing the platform efficiently with low cost of ownership.
Enterprise level including all domains.
Define the foundation Data Platform: Think of all technical capabilities req. for the platform.
Build the foundation data platform.
Build the Agile accelerators required for iterative delivery.
Implement for the smaller domain within business unit using the foundation data platform and Agile accelerators.
Scale and build
Establishing a factory model for rapid scale out, elasticity, acceleration, and efficiency.
Using the foundation data platform, Agile accelerators
Scale other domains in parallel across multiple business units
Data Operations Service Offerings
Operate – Managed/Shared Services
What so platform Services provide
Below are some of our key differentiators that help provide optimal Platform services
Infosys Command Center (ICC)
Infosys Data Operations Workbench (IDW)
Data Strategy & Diagnostics (DSD)
Our best Data Operations services are driven by these key facets:
End to End Enterprise Data Platform
Significant cost optimizations in Data Platform Operations
By leveraging ICC and IDW for Platform monitoring and Data Ingestion, we reduce manual effort considerably and yield better YoY effort reduction. Extreme automations in all life cycle stages of Data Operations will reduce cost, and also redirect the effort in development and Devops.
Data Platform centric solutions and frameworks for Automation and Predictability
Customized Platform as a Service model
SSS (Secure, Scalable, Stable) Data Platform
Hadoop as a Service (HaaS) provides option to customer to choose from various services including Infrastructure, Advisory, On-boarding, Run and Operate services, to enable faster time to Market, and less TCO, along with Engineering solutions and Automations implemented across the life cycle to cater to business need.
A Pioneered and proven solution for scalability with minimal impact to business; Big data Platform Scale is achieved by implementing Engineering solutions in Platform expansion, Shrinks and upgrades with the aid of extreme automations in Platform monitoring and maintenance.
Implemented Shared Services operating model with cross-skilled common teams, supporting multiple technologies and LoBs, which resulted in considerable reduction of resource cost, enhanced support coverage and improved SLAs.