Case Studies

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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A Leading VoIP Service Provider Saved Massive Operational Costs

A Leading VoIP Service Provider Saved Massive Operational Costs

A leading provider of Voice over IP (VoIP) services required deep analytical insights from their huge network and operational text data to manage their operations better, thus reducing operational costs.

Highlights of the Solution:

  • Daily text summarization of operations using natural language processing techniques
  • Insights into data metrics that captures the relevant information.

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A Leading Hispanic TV/Radio Network Improves Targeted Advertising

A Leading Hispanic TV/Radio Network Improves Targeted Advertising

Impetus provided a scalable solution that can combine TV/radio viewership data with retail market transaction data to make advertising more targeted towards specific demographic groups.

Highlights of the Solution:

  • Randomized algorithms to map data values from an old domain to a new domain
  • Conditional probability estimates to combine purchase and viewership data.
  • Recursive constraint programming algorithm to impute missing values.

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An Internet Advertising Client Crawls Large Amount of Searchable Data

An Internet Advertising Client Crawls Large Amount of Searchable Data

Impetus provided a scalable solution that can crawl terabytes (TB) of data from the Internet and make it searchable based on some filters for a leading provider of advertising platform.

Highlights of the Solution:

  • Higher scalability
  • Distributed file system (Hadoop)
  • APIs to integrate with other existing applications
  • Better alignment with the business and increased agility

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Helped an IP Geo-location Data and Services Leader Increase their ROI

Helped an IP Geo-location Data and Services Leader Increase their ROI

Impetus helped an IP Geo-location Data and Services Leader increase their ROI by optimizing Hadoop infrastructure and implementing customized solutions

Highlights of the Solution:

  • Reduced Cost:
  • Increased ROI:
  • Improved throughputs by 200%

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