Foundation

Client situation Project scope Our client is an American retail giant who wanted to have a view of pricing, weather, geographical locations, IPs, product info, and clickstream on a single platform. Solution 360-degree view layer Datametica built an exhaustive layer to give a 360-degree view of the complete info mapped to one location. Benefits Analytics base Serves as the base for any kind...

Modern Data Platform

Client challenges Project scopeA leading American cable television provider/multiple system operator, our client wanted an Enterprise Data Hub strategy to leverage open source Big Data technologies for increased agility, scalability and faster decision making based on advanced analytics.Solution Modern Data Platform By establishing the Modern Data Platform, the client was in a position to:Leverage a linearly scalable, distributed...

Hadoop Real Time

Client challenges Project scope The client is a US retail giant whose system generates 4TB of data daily. This data needed to be processed in real time and in batch processes for analytics. Solution Real-time ingestion platform Datametica built a Real Time Ingestion Platform consisting of Flume, Kafka and Camus. Our solution also included:Data processing in transit Fraud detectionBenefits Processing Ability to serve real-time...

Enterprise Data Hub Implementation

Client  Leading provider of consulting, BPO, ITO & analytics The client is a leading provider of consulting, business process outsourcing (BPO), information technology outsourcing (ITO), and analytics solutions for the entire healthcare ecosystem. They offer unparalleled business process and technology solutions that optimize the business strategy of their clients from end-to-end. Project scope Business drivers The client wanted to leverage big data technology...

Data lake Implementation

Client  Leading provider of physical therapy The client is a leading provider of research-based physical therapy and rehabilitation. Client wanted to build data lake Project scope The client wanted to rebuild Data lake to improve the effectiveness of healthcare by in the following areas:Reducing operation costs Rebuilding their data lake to avoid data replication to serve different systems Simplify the warehousing process.Solution Data warehouse...

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