Data strategy is much bigger than adopting a tool, it’s about building a strong and lasting capability within the business. Knowing what to measure, having processes in place for measuring efficiently at scale, organizing the right people and implementing the right tools and technology are all central to designing an effective data strategy.
The benefits of a strong data strategy can be felt across the company
A focused business is an efficient one. Companies who create a shared language and understanding around their data will know what the key indicators are, what they mean and why they're important to the business.
1. Create focus and efficiency
With everyone in the company on the same page about what’s important and why it matters, efficiency can blossom.
2. Make better decisions
Get the data you need from within your business immediately instead of waiting for teams to produce manual reports with potentially conflicting results.
3. Enjoy stronger market advantage
Anticipating what will happen instead of reacting after the fact gets you out in front of the competition.
Five steps to build a stronger strategy

1. Discovery and prioritization
We audit your existing materials and stakeholder interviews across key divisions within the company (sales, marketing, finance) to understand and prioritize the questions they would like data to help answer. The questions are aggregated and organized into themes before we work with you to score the business value of measuring a specific theme, against the feasibility of being able to measure it.
2. Business dimension model
Our business dimensional matrix takes the prioritized themes and breaks down the different dimensions they can measure and variables they measure them by. The intersecting rows source where the necessary data will come from.
3. Solution concept
Once we’ve prioritized the data domains we to want to address, we work with the individual business leads to design the conceptual architecture for ingesting, organizing, connecting and visualizing the data based on what the client’s technology environment can handle. We identify the tools that should be put in place and how they should be laid out, based on the company’s available talent for managing and implementing the program, or the aspirations that they have from a technology platform perspective.
4. Put the right team in place
Next, we help you put the right people and processes in place to execute your solution concept. We recommend filling eight roles within your business (internally and externally), in order for you to be able to utilize your data successfully. These roles include: Executive Sponsor/Steering Committee, Program Manager, Project Manager, Data Architect, Business Analyst, Data Engineer, Data Analyst and Data Scientist.
5. Implementation road map
With our solution concept(s) in place, we create a two- to three-year road map that spells out the data domains the business should address, the foundational elements needed to stand up the capabilities internally, and the timing of each step.
For more information, download our data strategy e-book.