Data Strategy

Our approach to Data Strategy is a process that starts with your strategic business objectives and views them together with an analysis of your workflows, data requirements, and technical capabilities. The result is a custom development roadmap for your organization, focused on achieving near-term business benefits and creating a platform for future innovation.

Data Strategy In Brief

  • Identifies business goals and current capabilities
  • Determines future data and capability requirements
  • Delivers a prioritized roadmap to achieve value early
  • Aligns business and technology stakeholders around technology investment

Want to learn more about our approach?

Data Strategy Position PaperDownload our Position Paper

Why Data Strategy?

Having the right data at the right time creates a business advantage, but getting there can be tricky. Focusing on large-scale plans means the risk of becoming entangled in an extended project that might never deliver value. Yet incremental solutions often add to the problem of fractured and fragile systems, hindering further development.

We often find companies in one or more of these situations:

  • you have business opportunities that depend on unlocking value from data
  • you have a lot of data but are unsure how to leverage it
  • you know big data has potential, and you want to know where to start
  • you’re slowed by siloed systems, and want to regain agility by combining them

Data Strategy is a business-driven initiative that also involves technology. The winners aren’t the first to install a Hadoop cluster or analyze a petabyte of data; the winners are those who learn to harness data in service of their business objectives. Our experience across many industries has informed a method that delivers results early, while simultaneously developing a platform for the future.

Data Strategy In Depth

Our experts are embedded within your team, where they collaboratively discover your business needs, decision processes, and available data. We work with your executive and technical stakeholders to explore new data sources and technical capabilities with the potential to create business value, then transform data-driven aspirations into a prioritized roadmap.

Throughout the project, you have the benefit of an experienced team that draws from multiple disciplines, including solutions architecture, engineering, and data science. We conclude every data strategy project with the following deliverables:

Data Strategy Report. Strategic recommendations based on your business goals, organizational structure, and technical capabilities.

Prioritized Roadmap. Starting from your current capabilities, the roadmap lists the projects, resources and workloads that will drive results. Prioritization is the result of rationalizing the top-down objectives against bottom-up data collection, analysis and scientific projects. Roadmap elements are typically a mix of data science, data engineering and organizational deliverables.

Results Presentation. We’ll lead your executive and technical stakeholders through the results, with the benefit of aligning everyone with the data strategy, roadmap and timeline.

At the end of the project, many clients continue working with us to execute against the roadmap.

To learn more about our approach to data strategy, download our position paper. We’d also love you to start a conversation with us about how we can help.

If you’re already working to a development roadmap and have planned your own data strategy, our Architecture Advisory and Agile Build services will be of value to you.

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