Operationalized a data platform to streamline analytics and create an Insights Organization that provides same day data and platform provisioning

CASE STUDY

Operationalized a data platform to streamline analytics and create an Insights Organization that provides same day data and platform provisioning

SUMMARY

Client was facing challenges w.r.t making data available on-time without costs, delays, and data quality issues
? Local copies of data scattered in the ecosystem made the data unreliable and increased storage costs
? Provisioning data on-time and consumers had to wade through long request queues
? Lack of skillsets to glean insights from data further compounded the problem

APPROACH

The approach to address the client’s challenge included:

Setting up a central Cloud-Data warehouse as a single source of truth
Laying the foundational data-architecture which classified requests to zones based on repeatability and usage
Introducing a metadata driven- UI based governance framework to capture data-requests
Building re-usable frameworks to enable the platform to serve personas with data requests, platform usage requests and insights requests
Harnessing the power of Data-Bricks on Azure for workload based dynamic, auto-scalable ingestion layer creation

KEY BENEFITS

Azure native solution easily integrable with Rest-API driven governance framework on Collibra for organization wide transparency
Handles, changing records, unified streaming, and in-built data-quality layer using the delta-lake feature of data-bricks
Loosely coupled frameworks for logging/Alerting & monitoring which are cloud-agnostic and can be re-configured and used as need be

RESULTS

The time to on-board data decreased to a 24-hour cycle
Overall storage and compute cost slashed by 30%
One platform – For Bring your own data, Platform & data services and Insights services

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