Case Studies

A Multinational Retail Chain Saves Millions with Data Migration

A Multinational Retail Chain Saves Millions with Data Migration

Impetus helped a U.S.-based multinational retail chain optimize and reduce the current cost of data warehouse. The solution helped to migrate batch applications and ad-hoc uses that consumed expensive Teradata cycles to Hadoop/ Hive.

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A Leading Cable Services Provider Reduced Data Migration Cost Significantly

A Leading Cable Services Provider Reduced Data Migration Cost Significantly

Impetus helped a leading cable service provider minimize data and workloads migration cost with tool-based migration. The solution used Workload Migration to transform Netezza procedures into Hive compatible scripts with 88% auto conversion package.

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Clients Save Millions Annually Through Warehouse Optimization

Clients Save Millions Annually Through Warehouse Optimization

Impetus designed a storage and retrieval solution to reduce high storage costs and improve data access. The solution helped the clients to save millions of dollars in an annually recurring basis, persisting indefinitely.

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Impetus Assists Luminar to Define their Big Data Strategy and Architecture

Impetus Assists Luminar to Define their Big Data Strategy and Architecture

Impetus recommended and architected a new platform and technologies that helped Luminar successfully do the following:

  • Improve their ability to listen to the needs and wants of their target market.
  • Communicate their findings to more clients through innovative applications.
  • Dramatically increase processing speed.
  • Substantially increase storage capacity.
  • Save money while scaling their business.

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Audience Segmentation for Targeted Advertisement Platform for a Leading Telecommunication Company

Audience Segmentation for Targeted Advertisement Platform for a Leading Telecommunication Company

Impetus provided an algorithm to segment audience based on their browsing behavior and history.

Highlights of the Solution:

  • Accessing and processing data from multiple databases in multiple formats.
  • Crawler customization for efficient and fast crawling (open source contribution as a patch).
  • Language identification and multilingual classification of web pages.

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