Data Strategy Accelerator
It's 2025. You've invested time, money and resources in data and AI. let's look at the results. Are you realizing business value?
We begin with your people, your #1 resource
Through a proprietary process, and drawing from the knowledge we’ve gained from our time in industry and working with 100’s of clients we employ a rapid-fire approach to assess current state of your business and design a data strategy based on your objectives. Our data strategy consulting services toolkit includes frameworks, designs and organizational models that accelerate time to value and offers our customers insights into their business that are both meaningful and actionable.
The frameworks that our experts have developed consist of pre-configured metrics & motivators that we tailor based on your business strategy and performance goals. In addition, a rapid-fire assessment with competitive benchmarking of your data maturity and strategic objectives will help us channel your efforts in the right direction.

Customized Data Strategy to create your story
Each Module is designed to help you create a personalized data strategy based on experience and insight from our time in industry as well as partnering with 100’s of clients developing data strategies to unlock the power of data.
Module 1: Introduction to Data Strategy
Apply a value creation framework with four perspectives to generate insights from data and learn to build data-driven products at scale to execute your data strategy.
Module 2: Designing a Data Strategy
Learn a practical three-step methodology of designing a data strategy that’s aligned to your business strategy.
Module 3: Data Organization and Culture
Gain a high-level view of how to build a culture to enable data-driven decision making in your organization; formally structure your organization to create value from your data; and implement an effective change management roadmap.
Module 4: Data Pillars and Industry Regulation
Define which pillars of your strategy are foundational to your current-state and need to be activated now e.g. governance, management and quality vs later e.g. data science, advanced analytics etc.
Module 5: Data Platform and Architecture
Organize data technologies into four categories: data acquisition and generation; data integration and operationalization; data analysis; and data consumption. Identify the processes and technologies for each step of your end-to-end data supply chain.
Module 6: Future-Proof
Look to the future of data & innovation, as well as the companies business goals and strategies that can inform and continuously improve your strategy to ensure it’s ongoing effectiveness and delivery of unlocking value from your data.
Here’s all the good stuff
93%
Of organizations are planning to increase their investments in data in the wake of potential economic uncertainty.
64%
of companies claim to use data to drive innovation but lack a data strategy.
55%
faster transformation cycles have been experienced by companies leveraging a data strategy.
Reliable system
From direct integrations with card networks and banks to checkout flows in the browser, we operate on and optimize at every level of the financial stack.