APQC’s data and analytics research gives you the tools, techniques, and strategies you need to understand and benefit from this rapidly-growing business movement. Use our best practices, case studies, white papers, and other resources to improve performance and identify new opportunities before your competitors do. Establish analytics capabilities, outline the value proposition for analytics, address the change management issues associated with establishing analytics in your organization, and more.
While most process benchmarking or process analysis projects focus on descriptive statistics, statistical analysis and predictive models answer the question “why?” and identify steps for improvement. Analytics can help you understand the relationships and drivers for key business process outcomes and outline why and how to improve processes.
Use APQC’s Knowledge Analytics to Inform Business Decision Making
Knowledge AnalyticsSM is a measurement, analysis, reporting, and decision-support methodology. It can help organizations facilitate conversations with senior leaders and assimilate new, data-driven insights about knowledge into business decision making.
Knowledge Analytics combines data from knowledge management approaches and business processes to guide knowledge-related investments. Now used by hundreds of leading organizations around the world, this process was designed by APQC Chairman of the Board Carla O’Dell in collaboration with the 2011-2012 APQC Knowledge Management Advanced Working Group.
Establishing a data-driven culture is a perennial challenge for organizations seeking to improve their performance management. In a 2018 APQC survey, members said it was their number one data and analytics challenge. Building a data-driven culture in your organization will require you to take the following steps:
1. SET THE STAGE FOR CHANGE
Preparing to shift toward a data-driven culture is largely a people-centric activity. The change leader must become a salesperson. And as with any sale, the salesperson’s job is to educate buyers about what the product is and how it will benefit them.
To prepare your organization for change:
• Conduct a current state assessment to create a baseline and add focus to the change effort
• Enlist senior leadership to legitimate and guide the change
• Build a compelling business case for change
2. ROLL OUT ANALYTICS CAPABILITIES
In previous research on change management, APQC found that the key components of managing or rolling out any change, especially one that encompasses an entire organization, are:
• Ensuring the change has the necessary resources (including analytics capabilities, right skills, and access to the data)
• Using an array of engagement tactics to generate buy-in and change behaviors
• Combining structured communications with quick wins to maintain momentum
In the case of data-driven decision making, this means establishing or using analytics capabilities within the organization.
3. MEASURE SUCCESS AND CULTURE CHANGE
Keep your emphasis on change objectives through targeted measures of success to help reach long-term goals such as a culture shift. This enables you to show value to the organization, keep stakeholders engaged, and make adjustments to the program as needed.
Understanding that you need measures and a cycle of structured review is easier said than done. Organizations commonly struggle with finding the right measures, and how to tie the outcomes of analytics projects to success measures.
Whether you’re just getting started on your continuous improvement journey or need guidance to address governance and oversight issues, our Advisory Services team can help you get the most out of your efforts. Our process and knowledge management consultants have helped hundreds of organizations worldwide apply APQC’s research and tools to improve performance and realize their business goals.
To learn more, contact our advisory services director:
APQC membership provides you—and every employee in your organization—access to research-based best practices and business drivers, benchmarking tools and data, and expertise so you can discover, understand, and implement the most effective methods for process and performance improvement.