Experienced. Capable. Proven.
Our Three-Step Approach
A proven process developed, tested and refined across a wide range of verticals.
We have brought numerous successful projects to market across a wide range of verticals. We bring decades of experience and wisdom to avoid the mistakes that send analytics projects on a path to failure. We work collaboratively with you to guide through the entire project and help you integrate the results into your decision-making workflow. Our battle-tested approach includes three core steps to a successful adoption of a data science solution.
The first step in the process is to identify the proper use case.
Using one or more full-day, in-person sessions, we get to know your business, decision-making process, and pain points in detail.
We assess multiple use cases using factors such as the level of effort, complexity, availability of data, and potential benefits.
We build a Machine Learning Model for the use case deemed most appropriate and valuable to you.
We use our proprietary, automated model building code to achieve this in approximately four weeks.
The results from the Model are explained in detail — no “black boxes” from us!
We help you integrate the model predictions into your decision-making workflow.
We set up experimental design to test model performance “in the wild”.
The campaign results are evaluated using statistical tests to ensure the model generates positive results (e.g., ROI).
What we deliver:
Our clients say it best!
We can tell you how we’re the right team for your needs, but our clients can show you.
"When Havas Helia’s internal resources were stretched too thin, we turned to Derive to tackle a key client’s customer segmentation project. Vishal partnered with us as a true extension of our in-house team, collaborating on the segmentation methodology, persona development and go-to-market strategy. His work was insightful, timely and professional, and the client was delighted with the results!"
Director, Customer Data Science | Havas Helia
"Vishal has been a much-valued part of our extended team for years and we couldn’t be more delighted—with the quality of the work, the output, his strategic chops, his willingness to go the extra mile for clients, and his easy collaborative style. He is very skilled with analytics and machine learning, and that expertise, combined with the attributes listed above make him a very valuable and much-admired part of any work team."
President | Tasseologic Inc.
"The data scientists at Derive provided tremendous support by rapidly developing data ingestion, automation procedures and machine learning models in Python. They demonstrated a deep understanding of best practices in data workflows and governance. On the machine learning front, they developed a series of spatial probability models using data across geography and time. They're great to work with and really know their craft."
CPO and Co-Founder | Keen Decision Systems.