We configure customizable data analytics solutions to transform your enterprise data into intelligence and steer you to get great business outcomes.
Our data experts can map your analytics initiatives into quantifiable business outcomes with a data-driven approach.
We deliver the 360-degree customer prospects by improving your assets with third-party data and predictive analytics.
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.
Our experts put statistical and mathematical methods and tools to invent solutions that help organizations automate processes, optimize in-and-out operation processes, and extract valuable data insights for your business.
Our lean and agile team of full-stack data scientists, engineers, and application developers accelerate innovation and implementation of custom machine learning and AI products. We bring extensive cross-industry expertise backed by scientific rigor and deep knowledge of state-of-the-art techniques to design, build, and deploy bespoke AI solutions.
Exploratory data analytics is a statistical approach that is used to analyze and produce descriptive graphical summaries. The most significant advantage of using EDA instead of a statistical model is that, with EDA, analysts are able to foresee what the data can reveal beyond the formal modeling.
Tools are primarily decided as per requirement. Major tools that we use are
Yes, we do. Our developers, too, are covered under NDAs and confidentiality clauses.
All our code goes through a quality audit and review by CodeGrip.tech.
The reports are available in an easy to understand format as part of the sprint.
We have SLAs defined for projects. This includes performance parameters for individuals as well as key goals for the overall project. We keep revisiting this SLA at regular intervals to ensure that we are in line with the plan. Any deviation is immediately fixed.
We provide you a technical project manager based out of the US or India to work directly alongside you. During the initial plan, our CTO, VP of Engineering, and CEO are involved too. Once the project journey is planned, the project manager is your main point of contact with a well-established escalation procedure.
The project manager keeps you updated as per plan on all the development information and acts as your primary quality analyst.
There is no one size fits all. We pick a tool based on the task. Usually, there would be a stack of different tools within an engagement.
In data science work, we usually used the following tools.
We deal with structural and unstructured data like SQL, NoSQL, CSV, JSON, Flat Files, Images, etc.
The data size depends on the case to case basis, but generally, we handle data records in thousands to millions. We have worked with data in 100s of GBs.
The team comes from different backgrounds. We primarily focus on analytical thinking a proactive approach in Data Science. Our team members generally have a strong background in mathematics.
Check out our blog on trending topics on Data Science services and solutions.
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