Kanerika
visit site- $10,000+
- 250 - 999 employees
- Hyderabad, India
Kanerika Inc is a big data company. They provide BI & big data consulting & SI, custom software development, enterprise app modernization, Artificial Intelligence, and more and were founded in 2015. Their midsize team is Hyderabad, India-based.
Client Insights
Industry Expertise
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Client Size Distribution
Midmarket ($10M - $1B) 100%
Common Project Size
$10K-$49K 13 projects
$50K-$199K 3 projects
<$10K 1 project
Clients
This provider has not added their key clients.
Highlights from Recent Projects
Kanerika was hired by The SaaS Masters, a specialized Software as a Service company, to create a centralized system for their various SaaS tools. Kanerika successfully built a central data pipeline that pulled information from all systems into one clean warehouse. They also created a dashboard that showed real-time numbers for sales, churn risk, and lead scoring, and developed AI models to predict customer behavior. The SaaS Masters appreciated that Kanerika trained their team to manage the system independently.
Kennedy's Barber Club, a franchise concept for men's grooming, employed Kanerika to consolidate their disparate data systems. Kanerika built a data pipeline that pulled all relevant information into one secure cloud system, cleaned up years of messy records, and set rules to ensure new data stayed clean. They also created dashboards to show daily revenue, busiest hours, top-selling products, membership renewals, and barber rebooking rates. Automated weekly reports and training for the team were also provided, enabling the Barber Club to make faster decisions and spot trends.
Savance, a company focused on using technology to streamline business processes, engaged Kanerika for better data management and faster reporting. Kanerika successfully handled data migration, set up a solid data warehousing solution, and built user-friendly dashboards. The solutions were customized to fit Savance's business, providing a clear picture of their data and significantly improving their reporting speed.
Timeliness
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Value
Would Recommend
Awards
2025
2025
2024
2024
2024