Offering seamless customer experiences with data-driven ease | HCLTech

Offering seamless customer experiences with data-driven ease

HCLTech delivered agility and data scalability to a renowned financial customer
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5 min read
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Our client, a Fortune 500 financial services group with 13 million members taking advantage of competitive rates on auto loans, mortgages and credit cards, as well as access to retirement planning tools and investment advice faced an inefficient data management process. This posed a major challenge in delivering seamless customer experiences relying on accurate and actionable data. They turned to HCLTech for a solution as they wanted to continue their excellent customer service.

The Challenge

A cumbersome and intricate data management system

Our client was facing an inefficient and complex data management process consisting of storing curated data in a Netezza data warehouse, raw data in HDFS, using DataStage as an extract, transform and load (ETL) tool and Control-M as an orchestration tool. This posed a major challenge for them to deliver seamless customer experiences relying on accurate and actionable data.

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The Objective

Eliminating manual processes, reducing errors and increasing accuracy

Our client’s objective was to develop a data management process that provides them with an efficient, streamlined system. This should enable them to deliver smooth customer experiences, based on precise and relevant data which can be put into action.

Offering seamless customer experiences with data-driven ease

The Solution

Migrating data to streamline data management processes

HCLTech helped the client successfully migrate from their legacy systems to Snowflake, streamlining their data management process.

  • Our experienced team followed a staggered approach for the implementation and exported historical data from Netezza using Netezza’s native unload utility
  • We also loaded data into Snowflake through an AWS external stage, used the Nifi framework to automate the execution of Snowflake data definition language (DDL) and changed incremental processes to load into Snowflake
  • After validating data and objects between Netezza and Snowflake, we repointed BI Tools (Business Objects and Tableau) to consume data from Snowflake
  • Additionally, our experts exported raw data from HDFS using Nifi and uploaded them onto Snowflake external stage buckets
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The Impact

Launching into a realm of effortless expansion, flexibility and customer delight

With HCLTech's integrated approach to data management, our client achieved substantial business impact. This entailed establishing a scalable data ecosystem to meet both current and future needs, resulting in a reduction of overall total cost ownership (TCO). Additionally, through technology rationalization, query processing time was significantly decreased. Furthermore, the implementation of a scalable platform facilitated seamless integration of additional data and reporting functionalities.

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