DAS42

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Elasticiti is a New York-based strategic analytics solutions firm founded in 2012 with no more than 10 members. They specialize in big data consulting and AI solutions for mid-market and enterprise-level firms in the fields of advertising and media.

Client Insights

Industry Expertise

Media

15%

Retail

15%

eCommerce

15%

Advertising & marketing

10%

Arts, entertainment & music

10%

Gaming

10%

Manufacturing

10%

Consumer products & services

5%

Financial services

5%

Medical

5%

Client Size Distribution

Midmarket ($10M - $1B) 34%

Enterprise (>$1B) 66%

Common Project Size

<$10K 1 project

$10K-$49K 1 project

$50K-$199K 1 project

Clients

  • NBCUniversal
  • Fox
  • Disney
  • ViacomCBS

Highlights from Recent Projects

Overall Rating

5.0
5 Reviews

DAS42 provided data engineering services for a major media company. The company was facing challenges with manual reporting and aimed to automate this process. DAS42 helped to prepare and organize data for reporting, ensuring business continuity through the company's acquisition. Their work included data prep, data pipeline work, and project management to supplement limitations of the software being used. The collaboration was from January to June 2019.

In another project, DAS42 worked with a media company to develop a data architecture solution. The company wanted to automate post-campaign performance reporting for campaigns trafficked on social media platforms. DAS42 created a reporting system and set up an architecture for the data. The team provided a developer and a business analyst for this project. The engagement lasted from April 2019 to March 2020, with an estimated cost of around $100,000.

DAS42 also provided analytic and data engineering services for Fox Network Group. The company sought to leverage their data and prototype some data products, in addition to support with a massive data separation project. DAS42 provided end-to-end engineering support, from brainstorming through constructive flows to the approval process to build code. The team for this project consisted of around five people, and the engagement took place in the first half of 2019.

Timeliness

4.6

Service Excellence

5.0

Value

4.9

Would Recommend

4.8