We configure customizable data analytics solutions to transform your enterprise data into intelligence and steer you to get great business outcomes.
Data and analytics strategy
Our data experts can map your analytics initiatives into quantifiable business outcomes with a data-driven approach.
Data discovery & augmentation
We deliver the 360-degree customer prospects by improving your assets with third-party data and predictive analytics.
Data management & beyond
On the extra edge of data integration and analytics, we advance with governance, monetization, and compliance.
Our solutions allow employees to use custom, user-friendly tools that can embrace data and take you to the edge of AI.
The Step-by-step Data Analytics Process
A subscription box based eCommerce platform that ships organically-grown succulents from a SoCal nursery to any address in the United States was looking to optimize their shipping process to be inline with daily weather forecasts so as to schedule the deliveries at the best port and at the best time of the day. The company ships 100K+ of succulents each week, to every state, all year long. Mindbowser helped the company to build a program that optimized its logistics operation and brought efficiency to its operations using data points.
Select Your Suitable Data Analytics Option With Us
Data analytics as a service
We offer analytics solutions that help our clients to receive first meaningful insights from the raw data within days. Our top-notch analytics solution reduces the burden of cost and time for developing and maintaining a considerable analytical solution.
Data analytics implementation
As a leading data analytics service provider, we are able to offer a time-effective solution that is sufficiently compliant according to your business objectives. Our experts can implement a data analytics solution to advance your business or entirely revamping the existing one.
Data analytics support & evolution
Mindbowser can advance your existing analytical solution with an effective time frame by studying the current analytical setting, determining the stumbled blocks, and fixing problems that limit you from using data analytics.