Data Strategy Program

This program is perfect for company leaders looking for a smooth transition into the data-driven world through the creation of a data science strategy aligned with the companies vision and strategy.
This program was built to help company leaders create a data strategy that is aligned with their company strategy.
Participants of this program see the creation of a data strategy aligned with their company strategy through a comprehensive study of the company long-term goals and current status of the company, involving everyone involved, ensuring full organizational support.
The alignment necessary to make data actionable is created by identifying the areas where being data-driven yields the best results while envolving the whole organization.
  • The Data Strategy Program

    The Data Strategy Program is designed to help leaders understand how to align data science and artificial intelligence with their business strategy. Many organizations want to be data-driven and they go on their own way to define a strategy in that direction, however they feel trapped within their old ways and lost without experience.
    Starting with data collection, many of these organizations don’t fully understand what data they should collect, how they should collect it and most importantly, how to prioritize the data sources. They also don't understand the cost and the return of each type of data collected.
    This program guides the organization through the process of breaking down its business strategy into potential data science business cases and the supporting requirements.
  • Data Science Strategy Document

    We’ll help you draw your data science strategy document, helping you have a clear alignment and focus only on high-value data-driven solutions, minimizing the risk of employee misalignment and unnecessary costs in low ROI data analysis.
  • Time Saving

    Avoid spending days trying to understand data science and complex AI algorithms. We'll select what's more applicable to your business case and explain it in a simple and unpretentious way, allowing you to understand what's being done with all the necessary detail you require or ever need. There's an ever-growing amount of information about data science and artificial intelligence, however, as everyone is trying to get into the subject, the signal-to-noise ratio is unfortunately very low.
  • Lower Risk

    By choosing an experienced team with good business understanding capabilities as well as execution experience, along with a Data Science Strategy Document that aims to identify the best way on turning data-driven you minimize risk, delivery delays while maximizing your chances of success.
  • High ROI Business Case

    You’ll finish this program with a well defined DS & AI strategy allowing you to identify the lower risk, highest reward business case you can implement right after.

Most Data Science Project FAIL


The survival bias might lead us into believing that data science is there to revolutionize the companies inside out. Even though there are examples of this, these are exceptions. Most Data Science projects fail, for various reasons: asking the wrong questions, working on non-actionable information, lack of firm support by stakeholders, lack of right data science leadership and members, incorrect comprehension of the complexity of the problem (including unnecessary complexity of models and analysis), and scope creep, motivated by initial great results.
Outcomes
A data science and artificial intelligence strategy plan containing:
  • Business strategy: How the organization is going to achieve its mission over the next two to three years.
  • Key data initiatives: What is the business trying to accomplish over the next 9 to 12 months using data?
  • Key business entities: Entities around the initiatives will focus
  • Key decisions: Data science and AI are useless if they are not actionable.
  • Business cases: the drivers, usually financial opportunities aligned with our initiatives;
Bonus:
  • Data sources identification, valuation, feasibility assessment, and prioritization;
  • Development of the prioritization matrix according to the BV (Business Value) and Implementation Feasibility (IF)
  • Development of an execution plan for the higher priority item in the matrix;

Focus on the strategy


This plan adapts to your business strategy, not the other way around. All the business initiatives coming out of the program will be aligned with your business way of working and a holistic organization of the business minimizes the cost of changes.