DATA SCIENCE ADVISORY
AND CONSULTING

Transform Your Business with Data-driven Decision Making

organizations struggle to get value from data

 

Only 30% of Organizations align analytics with their Corporate strategy.

Most companies don’t get the intended business benefits from data science. This is due to a lack of analytics strategy and inadequate executive involvement.

View McKinsey’s Report

ARE YOU FACING THESE CHALLENGES?

There are five common challenges that most organizations face while pursuing data science. None of these are about shortcomings in tools or technology. Here are the top five from a recent Gartner report

HOW CAN YOU TACKLE THESE PITFALLS
TO GET VALUE FROM DATA?

Based on our decade-long experience of tackling these challenges

for clients, we have created a robust methodology. Spanning five

stages, it is a proven way to unlock business value from data.

HOW CAN WE HELP YOU?

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Executive Education

Train leadership team to build a data-driven organization. Harness the power of data science to solve high-impact business problems and explore.

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Compass Workshop

Assess your organization's data maturity and build its data science strategy. Identify how data can help achieve business outcomes.

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Canvas Workshop

Identify your organization's business problems and prioritize them into a data roadmap with short and long-term projects that deliver target business ROI

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Charter Workshop

Align your business teams to your custom data science roadmap. By identifying a clear ROI, plan for the team, skills, tools, and process needs.

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WHAT ARE THE TIMELINES AND COSTS?

Executive Education Compass Workshop Canvas Workshop Charter Workshop
Duration 2.5 Hours 2 Weeks 3 Weeks 4 Weeks
Industry Trends & Best Practices
Data Maturity Assessment
Data Science Roadmap
Strategized Plan for RoI
Pricing $ 4,900 $ 10,900 $ 18,900 $ 24,900

WHAT ARE THE EXPECTED
OUTCOMES?

  • Better business outcomes, revenue growth, optimized cost and productivity benefits from your data assets
  • Business decisions across the organization driven by data
  • Framework to quantify ROI for your Data Science investments
         Download this case study to see how a client benefitted

Here's What Our Customers Have to Say

Schedule a Demo with us

Learn why 200+ enterprises worldwide trust Gramener as their Data & AI partner
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Our Thought Leadership in Data Science

We regularly publish, speak and share knowledge on data science advisory with the industry.

Check out our past webinars and white papers.

WEBINARS & WHITEPAPERS

The best way to Choose your Data Science Projects

This webinar will show the key reasons why data science projects fail and a 3-step framework for building your data science roadmap.

 

Watch Webinar

How to Structure your Data Science teams for Best Outcomes

This webinar answers why teams work in silos in data analytics & visualization projects and how should you evolve the org structure as you mature in your data journey.

 

Watch Webinar

How to build an effective data science team that delivers business value

Data science is a team sport, and every team needs five primary roles and skills to deliver business value. Each of the five roles is detailed out in this whitepaper with their associated responsibilities and skills required.

Download

DATA MATURITY RESOURCES

What is Data Science Maturity and Why Does It Matter

Find out what is data science maturity and how can it help your organization level up to implement a data culture across every department.

 

Read More 

Move Up in the Levels of Data Science Maturity

How organizations can transcend to higher levels of data science maturity? Find out 5 levels of data science maturity and dimensions of data maturity to build a robust roadmap.

 

Read More

Why Your Business Needs Decision Intelligence

Gartner says that 80% of data science projects don’t deliver business outcomes. Why? Most organizations miss out on a critical piece of the data puzzle: Decision intelligence.


Read More

FEATURED PUBLICATIONS

The Five Roles That Every Data Science Team Must Hire
Read More 
3 Scenarios CIOs Can See in 2030
When and How to Build Your Data Science Team

When Should You Not Invest in AI?

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