19 February 2024
Published by Advisible

Making Sense Of A Strategic Data Roadmap

Business & Data Analytics Roadmap

Unlock the exceptional potential for your business through the strategic deployment of data. Functioning in the modern world requires keeping up with the fast-paced digital landscape, and this is especially true for harnessing the power of data effectively. One51 and our services can guide you through the intricacies of building a detailed data roadmap that will help distinguish your business from the rest. We thrive on efficiency and innovation, and we can’t wait for you to do the same!

Everything You Need To Know About A Data Roadmap


What Is It? 

Rather than a typical map whose only purpose is to showcase directions, a data roadmap reflects a meticulously crafted strategy that enables businesses to navigate the wide terrains of
data analytics. With it, businesses can view a clear path towards harnessing the true potential of data to drive informed decision-making and achieve the objectives set.

In essence, it is a plan that outlines the entire implementation process of how a company can adequately manage, analyse and utilise data for its respective data goals (inclusive of objectives, timelines and vital resources). 

When Should I Use It?


So, we can see that a data analytics roadmap serves as the blueprint for leveraging data to gain insights and optimise certain processes that enable the organisation to stay ahead of the competition. The roadmap outlines everything in the journey, step-by-step from data collection to actual actionable insights which optimise every bit of information your company does have. 

Following that, a business analytics roadmap should be created when a company is actively working on its strategy – regardless of which stage the project is in. There are several diverse situations where a data strategy roadmap can be helpful;


  • Progress pause

Patch up any prioritisation or support issues that’ll assist you in making progress toward more evergreen and valuable objectives/content. 


  • Starting a new data initiative

To achieve successful data management, it is important to carefully plan and prioritise data initiatives while ensuring that they are in line with business objectives and have the required resources and support.


  • Anticipating a launch 

Receive an in-depth understanding of what customers expect from said product or service, then use this information to feed into the development of the marketing campaign. 


  • Entering a new market

Help companies gather and analyse market information to inform expansion plans and highlight potential opportunities and roadblocks. 


  • Improvement of operations required

The roadmap helps to identify areas where said data can be improved to streamline processes and improve overall effectiveness. 


  • Need to drive innovation

Use the data roadmap to properly find trends and patterns that can help your team ideate new campaigns. 

Five-Step Plan For Building A Data Roadmap

1. Highlight Wins & Critical Initiatives

o begin creating the data roadmap we need to pinpoint data and analytics initiatives that must be prioritised. But, how do we do this? By recognising easily executable actions and urgent undertakings vital for meeting the business objectives, contact us for a data assessment and streamline this process. 

Cementing priorities enable companies to;

  • Define goals and objectives, directing the team’s focus towards the most crucial parts of the data roadmap and allocating resources as required


  • Identify potential risks and challenges, creating contingency plans to stop those risks


  • Set realistic expectations and transparently communicate them to individuals involved (such as stakeholders)


  • Align roadmap with overarching business strategy

2. Finding High-Level Accomplishments Based On Business Objectives

The next step is to outline high-level milestones based on business goals or known changes within the business. Milestones like these play a pivotal role in determining the required pace for completing data initiatives that align with business goals. 


Some considerations are;

  • What are my company’s significant goals and what is the timeframe to achieve these goals?


  • On the timeline, which important company milestones need to be included?


  • Any known upcoming critical changes to the company?

  • What’s the necessary level of data and analytics maturity needed at each stage? 

3. Fill In The Timeline

High-level milestones finally established? It is time to finally populate the timeline with the initiatives essential for constructing the data architecture and meeting other requirements in iterations that progressively enhance data and analytics maturity whilst delivering value. 

It is important to note, that it is crucial to account for ALL steps in the first go, no matter how minor they may seem. Skipping something seemingly small in the beginning lengthens the entire progress in the long term. Approaching implementation in a phased manner, considering how each element fits into the broader data architecture, is vital. 

Ask questions such as;

  • Does our company need to set up new tools or technologies? If yes, do we already have an implementation partner or hire one?

  • Need to create new data pipelines? Do we have the in-house talent? 

  • Across the organisation, do we have consistent definitions or the existence of a data governance program to address these issues in the future? 

4. Adding On Details & Dependencies

Ensure the data strategy roadmap is actionable and achievable, additional details and dependencies must be incorporated. 


Inclusive of;

  • Identifying the individuals and resources needed for the initiative completion – including external partners or vendors

  • Finding any dependencies or interdependencies that impact the timeline, like the completion of specific milestones that are required for others to progress

  • Crafting a resource plan outlining roles and responsibilities, estimated time and budget for each resource to ensure clarity and availability of resources

  • Consider constraints or limitations that may impact the timeline or budget, such as regulatory requirements, data privacy considerations, or technical limitations. These factors may necessitate additional planning and resources. 

5. Create a Plan to Communicate the Timeline

Upon the development of the data strategy roadmap, effective communication with the company is crucial for building buy-in and ensuring alignment towards common goals. 


  • Succinctly communicate the vision and goals of the data strategy roadmap, how it supports key business objectives and aligns with the overall business strategy

  • Be transparent with the company, providing a clear explanation of initiatives, timelines and milestones

  • Regularly engaging with stakeholders by opening up dialogue

  • Provide constant updates on the roadmap’s progress, addressing any issues or challenges and adjusting as needed be


One51 tailors each roadmap to align seamlessly with your business objectives. Whether you’re diving deep into the intricacies of a data governance roadmap, designing a robust data architect roadmap, exploring the potential of the Snowflake roadmap, a data warehouse roadmap, or expertise, a roadmap will exceed your expectations. 

Be sure to contact One51 to pave the way to a future where data isn’t just a tool but a driving force behind every decision, innovation and win.