Beneath Analytics

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Beneath Analytics is an AI and data analytics company located in Ahmedabad, India with a secondary office in Scarborough, Canada. Founded in 2018, their team of over 10 employees serves mid-sized clients in IT-related industries, offering AI, cloud, business intelligence, and big data consulting.

Client Insights

Industry Expertise

Information technology

35%

Consumer products & services

20%

Advertising & marketing

15%

eCommerce

15%

Hospitality & leisure

10%

Medical

5%

Client Size Distribution

Small Business (<$10M) 30%

Midmarket ($10M - $1B) 50%

Enterprise (>$1B) 20%

Common Project Size

<$10K 2 projects

$10K-$49K 2 projects

$50K-$199K 2 projects

Clients

This provider has not added their key clients.

Highlights from Recent Projects

Overall Rating

5.0
6 Reviews

Beneath Analytics was hired by an online retail business to resolve issues with Google Analytics. The CEO of the company had issues with the site not attributing sales correctly to the appropriate online platforms. Naitik from Beneath Analytics was chosen for the job, and successfully managed to resolve the issue, enabling the e-commerce store to properly attribute conversions through Google Analytics.

In a separate project, Beneath Analytics was hired by a language education startup based in Seoul, South Korea, to set up their analytics system. The COO of the company worked directly with Naitik, the founder, and CEO of Beneath Analytics. Naitik was lauded for his expertise, communication skills, punctuality, and flexibility. He helped the company set up Google Analytics, GTM, Facebook pixel tracking, and an analytics dashboard, which has allowed the company to make data-driven business decisions.

A technology company hired Beneath Analytics for its advanced analytics capabilities and to enhance their existing product. The company was facing challenges with inaccurate data after running many iterations of their machine learning algorithms. Beneath Analytics, led by Naitik, played a critical role in streamlining the existing product and implementing new custom machine learning algorithms. The result was an improvement in the accuracy of the data, enabling the company to generate valuable business insights and conduct further revenue analysis. The data visualization in the form of simple dashboards also helped the company understand the product performance and user insights better.

Timeliness

5.0

Service Excellence

5.0

Value

4.8

Would Recommend

4.9