From our experiences and research, we have identified four typical challenges or pitfalls that organizations encounter when working with the discipline we refer to as: Delivering decision-making tools. These pitfalls are crucial to address directly to succeed with your journey towards becoming data-driven.
001 | Work with end users to develop a pipeline of tools to support core decision-making processes
002 | Build tools and definitions in a structure to create one shared truth and transparency
003 | Set standards for definitions and sourcing of KPI’s and market insights to enable sharing, comparison and alignment across the organization
004 | Build a standard recipe/playbook for developing and launching new tools
005 | Use data visualizations and tools to democratize the access and use of data and encourage exploration of root causes and trends
001 | Mapping the decision processes to identify the critical data and insights to focus on.
002 | Building consensus across all stakeholders on the definitions for KPI’s and how they link to one another.
003 | Building, testing and refining solutions for dashboards and decision tools.
004 | Establishing the toolkit and capabilities for the organization to create its long-term pipeline of solutions on its own.