Harness the Power
Of Your Data
Do you need help monetizing your data?
Are you looking to stand out from your competitors?
Do you want to increase strategic alignment behind big data?
We Speak Your Language
We have a strong understanding of cutting-edge data science methods. But that’s only part of a solution to your data problems. Data science methodologies are most effective when applied to strategic business and product initiatives. We help translate data science know-how into better products and initiatives for your business.
Before Bennett Data Science
Data science combines complex analyses, model building and expert capabilities to produce predictive analytics from big data. That’s complicated stuff!
We make it easier…
With Bennett Data Science
We care about bridging the gap between predictive analytics and your product, taking away the technical jargon and focusing on driving revenue for your business. That’s the most important part of data science.
We Know Data Science
Data science is an exciting field with capabilities to revolutionize business. Today, products backed by data driven expertise are becoming the norm, not the exception. To keep up in today’s business atmosphere, you need a product roadmap that includes strong competencies around data science.
Data may be your most precious resource.
But many companies need help when it comes to aligning corporate culture around data. Teams that are unified around their data and KPIs, are better equipped to make timely, data-driven decisions and respond quickly to changes in the marketplace. Different stakeholders often have different data requirements.
We can help you:
- Unify cross-functional teams by creating a central area for data dissemination so that data-driven insights come from a single source or truth. No more emailing spreadsheets that are subject to inconsistencies or omissions. No more waiting for someone to provide “today’s analysis” when tracking KPIs.
- Identify essential KPIs that are missing or under-reported to provide more visibility and explanation for how your company or division is operating.
- Provide stakeholders the data they actually need and will use. Data is not a one size fits all commodity. Analysts have different needs from the C suite, and delivering the right data to the right end-user is essential for becoming data driven.
- Unifying teams around a central source of truth in data
Regain Control of Your Data
Do you need help coding up a model to satisfy a business need, or help bridging the gap between the technical skills of your dev team and cutting edge data science methods?
We provide help developing the specific data science capabilities your team needs to push your business to the next level. And we can provide ongoing help from codebase support to KPI monitoring and model assessment.
We can help you develop specific capabilities leveraging your unique data for your particular business segment.
Here are just a few ways we’ve helped customers in the past:
Build a powerful product recommender to increase sales and drive greater retention?
Build an intelligent churn model to discover the reasons users are leaving and retain them before they do.
Increase the efficacy of your onboarding process so you get more, and more highly qualified leads.
Segment your users so you know where and when to spend marketing or outreach resources.
“When I met Zank several years ago, I finally understood what a Data Scientist was and is capable of...Zank always wants to know the business goals because he cares about his ability and his team's ability to impact the business. This is his measurement of success which means he always proactively ensures alignment while in a role where it's very easy to get stuck in the weeds.”
DirkPhD, Professor of Data Analytics/Big Data at Ghent University
“Zank is an expert in data science and really knows how to make difficult topics easy to understand.”
BryanVisual Designer, SweetLabs
“Zank is one of the most positive people I’ve ever met...[he] is truly a joy to work with.”
TrevorProject Manager, SAIC
“The first thing I noticed was [Zank’s] passion and enthusiasm for the science. Zank has gone through the long process of digesting and synthesizing bits of information to help himself and others develop a solid, intuitive understanding of data science.”
“[Zank] not only knows all the nuts and bolts from the technical perspective, but also has a deep understanding of the business needs with a clear goal of delivering revenue-driven data support to the whole company.”