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A FAST-GROWING SINGAPORE BASED ENTERPRISE IMPLEMENTED DATA GOVERNANCE FOR EFFICIENT DATA MANAGEMENT AND BUSINESS ANALYTICS

CASE STUDY

AN ENTERPRISE DATA LAKE & PIPELINE CASE STUDY

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With a vision to simplify data governance, a fast-growing big data and AI company in Singapore achieved high-quality, fast, and efficient data management with a powerful data pipeline solution.

AN ENTERPRISE DATA LAKE & PIPELINE CASE STUDY

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With a vision to simplify data governance, a fast-growing big data and AI company in Singapore achieved high-quality, fast, and efficient data management with a powerful data pipeline solution.

Problem Statement

Founded in 2012, our client is a fast-growing big data and AI company with a vision to simplify the world’s choices and believes that data is meant for everyone to see, touch and use the information to make a difference.

In order to achieve that, the client wanted to build a robust infrastructure that will enable them to collect data (transactions, logs, emails, etc.) across disparate data sources and bring all the data sources into a data bank to enable quants, data scientists and data engineers to create data pipelines and further enhance it for quantitative analysis, reporting analytics and enforce machine learning. The client also wanted to set up a fast feedback loop and batch process using APIs in a cloud-agnostic manner.

Lastly, the client wanted the infrastructure to be scalable to support and forecast growth, with high performance for their end customer analytics, and was on the lookout for a business intelligence partner for end-to-end implementation and support.

BUSINESS GOALS

BUSINESS GOALS

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Our team of highly experienced business intelligence team tailored an infrastructure that helped set up a data ecosystem (data lake and data pipeline) to host different types of data along with a system catalog that will present metadata for the disparate data sources.

Based on the technical needs to enable the data lake, our business intelligence architects engineered data pipelines with a standard layer of abstraction that operates on one single monolithic space.

This infrastructure helped interact with different programming paradigms. Also, it parallelly supported disparate data sources by integrating with a cloud computing environment across applications for efficient data management and providing a self-service analytics dashboard to view customer insights and forecast growth.

SOLUTION

SOLUTION

streamline-icon-accountant-1@140x140_icon

Our team of highly experienced business intelligence team tailored an infrastructure that helped set up a data ecosystem (data lake and data pipeline) to host different types of data along with a system catalog that will present metadata for the disparate data sources.

Based on the technical needs to enable the data lake, our business intelligence architects engineered data pipelines with a standard layer of abstraction that operates on one single monolithic space.

This infrastructure helped interact with different programming paradigms. Also, it parallelly supported disparate data sources by integrating with a cloud computing environment across applications for efficient data management and providing a self-service analytics dashboard to view customer insights and forecast growth.

HOW ZUCI SYSTEMS HELPED

HOW ZUCI SYSTEMS HELPED

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control over data
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data security & governance
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reduction in maintenance cost
0%
revenue growth
0 Months
ROI realized

BUSINESS OUTCOME

BUSINESS OUTCOME

0%
control over data
0%
data security & governance
0%
reduction in maintenance cost
0%
revenue growth
0Months
ROI realized in

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