Build a Robust and Comprehensive Data Strategy

Key to building and fostering a data-driven culture.

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Not building a data strategy will:

  • Perpetuate misunderstanding of what data means (and doesn’t) to your organization.
  • Cause further misalignment of your organization’s data against organizational goals and objectives.
  • Continue the cycle of mistrust in company data and connected IT services and products.

Building an effective data strategy will:

  • Enable you to focus your data practices on business outcomes.
  • Allow you to take a key initial step in your overall data transformation by laying out the high-level "what" before focusing on the how.
  • Be a key step in building trust with your data, team, and the organization.

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Onsite Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn’t enough, we offer low-cost onsite delivery of our Project Workshops. We take you through every phase of your project and ensure that you have a road map in place to complete your project successfully.

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Member Rating

9.4/10
Overall Impact

$54,487
Average $ Saved

33
Average Days Saved

After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve.

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Module 1: Establish scope of your data strategy

The Purpose

Define the full scope of your data strategy.

Key Benefits Achieved

Alignment with the group on how far your data strategy will (and won’t) go.

Activities: Outputs:
1.1 Identify your organization’s strategic vision and goals.
  • Business context; strategic drivers.
  • Sample vision and mission statements.
1.2 Identify the business initiatives that support the organizational strategy.
1.3 Discuss the importance of vision, mission, and guiding principles of the organization’s data strategy.
  • Data strategy guiding principles.

Module 2: Gather the key inputs for your strategy

The Purpose

Align and bring together what will inform your data strategy.

Key Benefits Achieved

  • A clearer view of the organization’s needs and pains outside of your data team.
  • A view of your overall data maturity and culture.

Activities: Outputs:
2.1 Conduct line-of-business deep dives to understand supporting strategies and tactics, pain points, and current and desired uses and applications of data.
  • Line-of-business inputs and considerations for data initiatives and strategies.
2.2 Identify critical risks to your data strategy.
  • Data strategy risks and inhibitors.
2.3 Assess your current data culture.
  • Data culture diagnostics results.

Module 3: Align on how to increase business value from data

The Purpose

Focus on a business-first approach to your data strategy by thinking about how you can leverage data to achieve key business outcomes.

Key Benefits Achieved

Take the first step in changing the culture of both your data teams and users to focus on business outcomes.

Activities: Outputs:
3.1 Establish line-of-business data gain and pain-relieving initiatives.
3.2 Establish data team(s) gain and pain-relieving initiatives.
  • Data initiatives definition.
3.3 Consolidate your data initiatives and establish your top data strategies.
  • Data strategies definition.

Module 4: Develop your data strategy and value delivery horizons

The Purpose

Formalize elements of your data strategy and provide an initial view of future delivery based on the strategy.

Key Benefits Achieved

Be in a position to ask for executive alignment along with a clear view of next steps.

Activities: Outputs:
4.1 Assess data initiative feasibility.
  • List of prioritized data strategies and initiatives.
4.2 Map value to corporate and functional strategic goals (and timing).
  • Data value maps.
4.3 Rationalize your initiative list based on strategic value alignment.
4.4 Establish your “big bet.”
  • Your data strategy “big bet.”
4.5 Complete your data strategy tactic cards.
  • Data strategy tactic cards.
4.6 Outline your key CXO asks and next steps.
  • Outline key CxO asks.
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