It’s clear that a having a solid data strategy needs to be a fundamental and ongoing initiative if companies want to stay competitive. Why? Because you need to be making the best use of your data to drive efficiency and productivity today, as well as to be able to proactively plan and forecast for the future..
A solid strategy also provides security and governance direction and lays the foundation for AI initiatives. According to industry research, over a third of technology leaders are prioritizing data strategy as a top initiative; and companies that implement structured strategies often reduce reporting time by up to 40%.
In this article, we’ll walk through practical steps to build a data strategy roadmap that works, with clear steps you can start taking today.
Why Do I Need a Roadmap?
A data strategy roadmap gives your organization a clear path forward. With a roadmap, you have a structured plan for how your organization collects, manages, secures, and uses data. It turns your big-picture goals into practical steps you can take every day, so that each part of your plan drives business results you can measure.
Without one, you’re likely dealing with scattered systems and unreliable data, which makes it tough to get accurate answers or make confident decisions.
How to Create a Data Strategy Roadmap
Step 1: Assess Your Current State
Before you can create a data strategy, it’s critical to know where you stand today. This means taking a close look at your current data environment, including how data is stored, managed, and used across your systems. When you understand what you have and where the gaps are, you can set realistic goals and make smarter decisions about what needs to change.
What You Should Do:
- Inventory all data sources: Make a list of every place your data lives, including your ERP system, CRM platform, spreadsheets, add-on applications, and external feeds. Note what type of data each source contains and how it’s currently being used.
- Evaluate data quality: Go through your data to check for duplicates, missing values, outdated information, and inconsistent formats. Pay attention to whether the data is accurate, up-to-date, and reliable enough to use moving forward.
- Review reporting tools: Look at the tools and platforms you use for reporting and analytics. Identify any gaps or limitations, like reports that are hard to generate, analytics that don’t meet user needs, or manual processes that could be automated.
How JourneyTeam Can Help:
We have decades of experience assessing data environments, and can help you identify your data sources, evaluate data quality, and review your reporting tools. Then we’ll provide actionable recommendations to standardize, integrate, and optimize your data.
For a real-world example of how a comprehensive data assessment can drive transformation, read about how we helped R.S. Hughes audit and centralize their reporting infrastructure, moving from manual processes to an automated Azure Data Lake and Power BI solution.
Step 2: Define Business Outcomes
For a roadmap to be actionable, you should define functional outcomes that can be measured and tracked. So, instead of aiming for “cost reduction,” you might set a goal to “reduce manual data entry hours by 30% within six months.” Or, instead of “faster insights,” you could quantify the goal by saying “deliver automated sales reports by 9 a.m. daily.”
The key is to translate broad priorities into quantifiable targets that are relevant to your needs, and specific enough so that you can measure progress and demonstrate value.
What You Should Do:
- Interview stakeholders: Talk to leaders and key team members across departments to uncover their main objectives, such as reducing costs, speeding up decision-making, or meeting compliance requirements.
- Translate priorities into data goals: Turn those business objectives into clear, measurable targets, like “Reduce manual reporting by 50%” or “Enable real-time dashboards for sales.”
How JourneyTeam Can Help:
We’ll work with you to clarify your priorities and translate them into actionable data goals. We can facilitate stakeholder interviews, help define key performance indicators (KPIs), and recommend technology solutions that meet your objectives. Our work with MaxxForce is a great example of the value of defining clear, measurable business outcomes before implementing new technology. Read MaxxForce’s case study.
Step 3: Build a Governance Framework
A strong governance framework is essential for managing your organization’s data responsibly and securely. Governance sets the rules for how data is owned, accessed, protected, and maintained throughout its lifecycle.
With the right framework in place, you can ensure accountability, safeguard sensitive information, and comply with regulatory requirements.
What You Should Do:
- Define data ownership and stewardship roles: Assign clear responsibilities for who owns, manages, and oversees different types of data. This helps ensure accountability and makes it easier to resolve issues.
- Establish security policies: Create and enforce policies for role-based access, encryption standards, and other security measures to protect sensitive data from unauthorized access or breaches.
- Set up lifecycle processes: Develop procedures for data retention, archival, and disposal so you know how long to keep data, when to archive it, and how to securely delete it when it’s no longer needed.
How JourneyTeam Can Help:
We work with companies every day to build data governance frameworks that define roles, build robust security policies, and establish management processes that meet industry standards and regulatory requirements.
Huish Outdoors, for example, partnered with JourneyTeam to implement Microsoft 365 with robust governance and compliance protocols, ensuring secure data management and clear ownership across the organization. Read the full case study.
Step 4: Create a Phased Roadmap
Implementing a data strategy is more manageable when you break it into clear, achievable phases. Start with quick wins and gradually introducing more advanced tools and processes and ensure that change management is woven throughout each phase to ensure smooth adoption.
What You Should Do:
- Phase 1: Centralize reporting and deploy Power BI dashboards. Focus on projects that deliver immediate value, such as consolidating reports and making data more accessible to users.
- Phase 2: Introduce governance tools. Build on your early successes by implementing governance solutions and providing training to ensure everyone understands new processes and tools.
- Phase 3: Scale to more advanced analytics like predictive modeling and AI. Once your foundation is solid, expand your capabilities to include more sophisticated analytics and automation.
How JourneyTeam Can Help:
JourneyTeam can help you identify and prioritize quick wins, implement governance tools, and scale up to advanced analytics and AI. Our team also provides change management support, helping you build internal champions, deliver effective training, and keep everyone informed and engaged.
We recently worked with MSA Professional Services to build a scalable intranet using a phased approach, site mapping, governance planning, training, and content sessions to deliver incremental value at each stage. Read MSA’s success story.
Step 5: Enable Analytics and AI
Once you’ve established a solid data foundation, you can leverage embedded analytics for visibility and expand to more advanced platforms.
What You Should Do:
- Start with embedded analytics: Use analytics tools built into your ERP or CRM systems to give teams instant access to key metrics and reports.
- Expand to advanced platforms: Implement solutions like Microsoft Fabric and Copilot to unify internal and external data sources and enable AI-driven insights.
- Integrate governance tools: As your analytics and AI initiatives grow, make sure you have security solutions in place to maintain compliance, protect sensitive data, and ensure the accuracy of your insights.
How JourneyTeam Can Help:
JourneyTeam can guide you in deploying embedded analytics for immediate value, and expand to advanced platforms for unified data experiences, while integrating governance tools to keep your analytics secure and compliant.
We recently worked with the Frank Batten School of Leadership and Public Policy to modernize their student engagement systems by unifying data, automating reporting, and enabling advanced analytics with Power BI and Power Platform. Read more about our engagement with the Frank Batten School.
FAQs
A data audit is a one-time review of your current data sources, quality, and reporting tools. It’s about understanding what you have right now. A data strategy roadmap is a long-term plan that uses the findings from your audit to guide improvements, set priorities, and track progress toward business goals.
Your data is ready for analytics or AI if it’s accurate, up-to-date, consistent, and covers the information your business needs. If you’re finding lots of duplicates, missing values, or manual workarounds, it’s a sign you should invest in data cleaning and integration before moving forward.
It’s best to include a mix of stakeholders like department leaders, IT staff, and end users. This ensures your data goals reflect real business needs and that everyone understands how data improvements will support their day-to-day work.
Start by clearly explaining the benefits, such as improved data security, compliance, and decision-making. Involve key stakeholders early, provide training, and show quick wins to build trust and momentum.
You can often see quick wins within the first few months. More advanced outcomes, such as predictive analytics or AI-driven insights, typically take longer and depend on the complexity of your data and systems.
Ready to Build Your Roadmap?
Partnering with us can accelerate your data journey and help you quickly realize the full potential of your data. As a trusted partner, JourneyTeam has helped many companies create clear plans for navigating from outdated reporting system to modern cloud-based Azure data architectures.
A good starting point is our SmartStart Assessment if you’re struggling with your data and trying to figure out where to begin.
Reach Out Today
Let’s discuss a future-ready data strategy for your company.
