Close this search box.

How to Define a Data Strategy & What It Should Include

Creating a data strategy is an essential task for any business or organization that wants to use data to inform their decision making. But what is a data strategy and what should it contain? In this blog post, we will explore how to define a data strategy and what it should include. By understanding the components of a data strategy and what goes into creating one, businesses and organizations can make sure they are taking full advantage of the data available to them.

The Purpose of a Data Strategy

With the rapid growth of data and its importance in the modern world, it has become critical for businesses to be able to use data to make strategic decisions about their operations, resources, investments, and marketing. A data strategy provides a clear path forward for how businesses can use their data to inform decisions and ensure the best outcomes.

Data strategies provide a framework for understanding how data should be used to inform business decisions and optimize operations. They also provide a roadmap for how data can be effectively used to reach desired goals and outcomes.

By developing a data strategy, businesses can maximize the value of their data while ensuring its accuracy and integrity. This can help create competitive advantages, improve operational efficiency, reduce risk, and provide insights into customer behavior. In addition, having a data strategy can help businesses increase customer loyalty and engagement, as well as strengthen relationships with partners and stakeholders.

Step 1: Establish Goals Aligned to the Business

Before setting any goals, it’s important to consider the objectives of the business. By understanding the overarching goals of the business, you can then create data strategies and goals that are aligned to those objectives.

When developing your data strategy and goals, consider the following questions:
• What do you want to achieve?
• How does this fit in with the overall corporate strategy?
• What are the key performance indicators (KPIs) for success?
• What type of data is needed to measure progress towards these goals?
• What insights can be gained from the data?
• How will the data be used to improve products, services, and customer experience?

By answering these questions, you will be able to develop data strategies and goals that are aligned with the overall objectives of the business. Additionally, you should also consider customer preferences and trends when establishing data goals. Understanding customer behavior, interests, and needs can help you refine your strategies to provide better customer experiences and higher customer satisfaction.

Finally, it’s important to consider organizational constraints such as budget, resources, and timelines when establishing data goals. You should also factor in potential risks or challenges that could affect your ability to reach those goals.

By taking all of these factors into consideration, you will be able to create data strategies and goals that are aligned to the overall objectives of the business and will help drive growth.

Step 2: Analyze where you are now

When evaluating analytics and data maturity, there are a few key questions to ask yourself. First, what kind of data do you currently have access to? Do you have clean, accurate data that is up-to-date? Are you collecting the right kind of data for your business objectives?

Second, how are you currently using your data? Are you utilizing all of the available data insights? Are you making decisions based on evidence-based analysis, or relying on assumptions and hunches?

Third, how organized and secure is your data? Are you able to access data quickly and efficiently, or does it take days or weeks to get the insights you need?

Understanding your current data environment will help you determine what changes need to be made in order to create an effective data strategy.

For example, if you find that your data is not up-to-date or accurate, then you may need to invest in better data collection methods. Or, if you’re not utilizing all of the data insights available to you, then you need to consider more sophisticated analytics capabilities.

Analytics and data maturity are essential components of any successful data strategy. Assessing the maturity of your analytics and data environment is an important step in creating a comprehensive strategy that will help your organization drive success. By understanding where you are now, you can identify what changes need to be made in order to get the most out of your data.

Step 3: Assess where you need to be in order to meet your goals

In this step, you should be identifying the gaps between your goals and objectives and your current state. This will involve looking at where your organization stands in terms of data capabilities, infrastructure, and any other issues that might be inhibiting you from reaching your objectives.

By understanding what is preventing you from achieving success, you can start to build a plan that moves you closer to your desired outcome.

When assessing where you need to be, think about the following:
• What skills and resources do you currently have available?
• What type of technology is available or needs to be implemented?
• What data is available or needs to be collected?
• Are there any processes or policies that need to be established or modified?
• What are the key risks associated with achieving the desired outcome?

These questions can help guide your assessment and ensure you are making decisions that align with your desired objectives. Once you have identified the gaps between your goals and current state, it is time to move on to the next step in creating a successful data strategy.

Step 4: build out your wish list

When it comes to constructing your data strategy, your ‘wish list’ should include all the components needed to successfully achieve the goals you’ve outlined in Steps 1-3. This means outlining the tools, processes, employees and security measures you will need to put in place.

When it comes to data tools, consider what you need to help you collect, store and analyze data, as well as how this data can be shared with internal and external stakeholders. Some examples of data tools might include big data platforms, visualization tools or infrastructure.

Processes should be outlined for how data is collected, used and governed. These processes should include who is responsible for collecting and storing data, how it is going to be used and how long it is going to be stored. Additionally, put in place protocols for how data will be shared with internal teams, external parties, and what measures are in place to ensure data accuracy.

Finally, consider the employees who will be responsible for implementing the data strategy. This means hiring the right people with the skillset needed to manage data collection, storage and analysis. As well as a Chief Data Officer to oversee the entire data strategy.

Data security is also an important element to consider when building out your wish list. This means ensuring all data collected is secure from unauthorized access and manipulation, as well as ensuring any employee or customer data is stored according to the relevant privacy laws. This should include setting up secure systems for collecting, storing and analysing data, as well as setting up security protocols to protect against cyber threats.

By taking the time to construct your wish list of data tools, processes, employees and security measures, you can ensure that your data strategy is set up for success.

Step 5: build a roadmap of delivery

Creating a roadmap for delivery is an important step in ensuring that your data strategy will be successful. This roadmap should include the timeline and milestones needed to reach the goals that have been established in the previous steps. To create an effective roadmap, it is important to consider the following factors:

• Business needs: Establishing when the business needs the data strategy to be complete.
• Timeline: Defining the timeline needed to achieve each of the goals set in the data strategy. This should include both short-term and long-term goals.
• Milestones: Outlining the milestones that need to be completed in order to reach the final goal. This could include deploying new technology, establishing processes, or developing new skills.
• Resources: Identifying the resources needed to achieve each of the milestones and reach the final goal. This could include personnel, technology, or financial resources.
• Budget: Allocating a budget for each step of the roadmap. This should be detailed enough to provide clarity on how much money is being spent on each step of the process.

Once these factors are taken into consideration, it is then possible to create a detailed roadmap that outlines the timeline and milestones needed to achieve the data strategy’s goals. This will provide a clear path forward for all stakeholders and ensure that the data strategy is delivered on time and within budget.


Creating a data strategy is essential for any business that wants to be competitive in today’s digital age. The key to developing a successful data strategy is to first establish clear goals aligned with the company’s overall objectives. From there, it is important to assess where the company currently stands in relation to those goals and build a roadmap of delivery that includes a wish list of desired features and capabilities. With a strong data strategy in place, businesses can ensure that their data is secure and accessible, enabling them to make informed decisions and remain competitive in their market.

Share the Post:

Related Posts