Data Strategy Assessment: 3 Step Guide in 2024


Today’s world is based on data, so a strong Data Strategy is essential for companies that want to get the most out of their data assets. A Data Strategy Assessment is an important first step because it gives companies a thorough look at how they handle data now and a plan for how to improve it in the future. The goal of this blog is to walk readers through the most important parts of doing a full Data Strategy Assessment. This will help them find places to improve and plan how to use data to get the best business results.

What is a Data Strategy Assessment?

Data Strategy Assessment is a comprehensive review process undertaken by organizations to evaluate and enhance their data management practices, ensuring optimal use of data assets in alignment with business objectives. 

This involves several key steps: cataloging all data assets, identifying their storage locations and formats, and classifying them according to sensitivity and relevance to business goals. 

The assessment also examines how data is accessed, used, and governed, identifying gaps in data quality, security, and compliance with regulatory requirements. Additionally, it assesses the technological infrastructure to ensure it supports effective data management and analytics. 

The ultimate goal is to develop a strategic plan that leverages data for operational efficiency and competitive advantage, including recommendations for improvements and new initiatives.

3 Steps for Data Strategy Assessment

Step1: Identify Business Goals and Challenges

Begin by conducting thorough discussion to gain a comprehensive understanding of your organization’s business objectives. Key points to explore include:

  • Clarifying the primary business objectives and strategic goals, focusing on the significant milestones the organization aims to achieve.
  • Documenting existing data-related challenges, limitations, and roadblocks to develop tailored solutions and allocate appropriate resources effectively.
  • Identifying key drivers for data and analytics initiatives, pinpointing the most critical business areas that stand to benefit from data-driven insights within specific use cases.

Step 2: Assess and Capture Current State

Once you’ve outlined the business landscape and challenges, delve into evaluating the current state of your organization’s data ecosystem. This involves:

  • Conducting a comprehensive inventory of existing tools, technologies, and systems in use.
  • Examining data sources, technical infrastructure, and analytics capabilities.
  • Performing data profiling to gain insights into data quality and characteristics.
  • Summarizing these findings into a detailed current state overview, highlighting gaps in technologies and competencies, and establishing a baseline for measuring progress.

Step 3: Design Proposed Future State

With a clear understanding of business goals and the current data landscape, proceed to design the proposed future state, outlining the necessary components to achieve desired outcomes. This involves:

  • Identifying key performance indicators (KPIs) and metrics to track progress towards business objectives.
  • Prioritizing a backlog of use cases based on their potential impact on business goals.
  • Designing a future-state data architecture and recommending specific technologies to support it.
  • Conducting a tool selection process tailored to organizational needs and priorities.
  • Creating wireframes for dashboards, developing conceptual data models, and crafting data flow diagrams.
  • Establishing roles, responsibilities, and organizational structures required to support the recommended architecture, including training needs, job descriptions, and organizational charts.

How to Use a Data Strategy Assessment to Create a Roadmap

Using a Data Strategy Assessment to create a roadmap involves several key steps:

  1. Assess Current State: Start by getting a good sense of how you currently handle data—what you collect, how you use it, and how it moves through your company.
  2. Define Future Goals: Make it clear what data skills you want to build and what business goals these efforts will help you reach.
  3. Identify Gaps: Compare where you are now to where you want to be in the future to find gaps and places where you can improve.
  4. Create a Strategic Plan: Make an in-depth plan that shows the steps that need to be taken to connect the present and the future. This plan should include investments in technology, models for data governance, and changes to processes that need to be made.
  5. Implement and Adjust: Carry out your plan in stages, keeping an eye on progress and making changes as needed to stay on track with your business goals.

Prepare a strategy for future state data

Creating a Future State Data Strategy means changing your current data methods to ones that are more efficient and in line with your business goals. This strategic planning should center on the analytics skills you want to build, the data you need to reach your goals, and strong data governance to make sure that everyone in the company has access to accurate data. A business and data alignment, technology planning, a governance model, and complete data management processes are all important parts of this approach. 

For an implementation to go well, it’s also important to get everyone on board and think about how people, systems, technology, and data all work together. This custom plan should be based on the specific needs of your organization and include a full analysis of current and possible technological options. This will help make sure that all data, including internal, external, master, operational, and metadata data, is fully understood and used correctly.


In conclusion, if you want to make sure that your data practices are in line with your overall business goals, you need to use a Data Strategy Assessment to make a strategy roadmap. Your company can improve its data capabilities by carefully looking at where it is now, setting goals for the future, figuring out where there are gaps, and making a personalized strategic plan. 

Remember that this is not a one-time thing that needs to be done. It is an ongoing process that requires changing with new technologies, changing business needs, and new data governance problems. You will build a data-driven culture that takes your company to new heights of success if you stay committed to the journey.

About Parkar Digital

Parkar Digital, a Gold Certified Microsoft Azure partner, provides technology solutions for Digital Healthcare, Digital Retail & CPG. Our solutions are powered by the Parkar platforms built using Cloud, Opensource, and Customer experience technologies. Our goal is to empower a customer-first approach with digital technologies to deliver human-centric solutions for the clients.

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Parkar Digital is a digital transformation and software engineering company headquartered in Atlanta, USA, and has engineering teams across India, Singapore, Dubai, and Latin America.

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