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Data Strategy


An effective data strategy empowers an enterprise to make technology choices aligned with business priorities to get the most value from its data. Our team of business leaders with deep experience in the data science domain can help you at every step of the way.


A modern data strategy is a roadmap toward data-driven decision making, applications and automation. It also includes the process of transforming a business and acquiring the skillsets required – all with one overarching goal: to enable an enterprise to achieve its strategic ambitions.

Ideal Future

Data and analytics are playing a new role in enterprises – one that highlights value creation and business outcomes. Your data transformation should be based on a comprehensive view of the “ideal future” of your company, not change for the sake of change.

Strategic business goals

A plan to update
organizational structure 

Data & Technology
(current & future)

Constraints & Priorities

A plan to update
capabilities and skills 

A communication plan

A roadmap of
investments to make

A KPI Dashboard
to assess progress 

An effective data strategy always incorporates:


Nearly every digital age company owns valuable data. To put it to the best use and generate the most value from it, it must do three things:

ensure progress toward strategic goals

connect investments in technology with quantifiable business value

articulate the business impact of data and technology


First, explore and fully understand what drives your business, this is always the starting point. If you discover that:


  • you are unable to clearly link the cost of your data systems to the benefits that they bring to your business, or
  • you are unable to describe how your technology choices help you achieve your business goals


…your business would absolutely benefit from data strategy.

Your data will never be perfect. Instead of first questioning the type, quality and volume of the data your organization has, follow five logical steps to ensure that the data you have is deeply linked with your goals as a company.

1. Identify

Identify the business objectives

you want to achieve.

4. Create

Create a realistic plan that includes pragmatic investments, improvements and changes in technology, people, processes and organizational structure

2. Explore

Explore how you can use data to achieve these objectives or boost your results.

5. Commit

Commit to achieving every step of the plan within a set timeframe.

3. Define

Define the gaps and challenges in your organization to reach your objectives. These can be skills, tools, processes & data


Depending on where you stand on your roadmap, the impacts of your data strategy cover many domains, including:


  • your business results, both top and bottom line
  • the quality of business decisions
  • project outcomes
  • teams and organizational structures
  • skills and resources available
  • capturing data and data storage
  • data analytics
  • communication and follow up

To define your KPIs, create a list of the metrics you need to keep track of in order to gauge how well your data strategy is working, and how to improve it. Review the metrics you are already tracking and identify the ones you need to keep and those that aren’t driving the right behavior.

In addition to tracking metrics, also track your organization’s data maturity level. Make sure you know where you are on your data strategy implementation roadmap. Measure the quality of your business decisions, and continuously evaluate and review your key metrics as well as your data strategy – it’s an iterative process.


Start designing your Data Strategy right now