Kizuna provides management consulting services for strategy mapping, balanced scorecards, process mapping, procedure checklists, and data analytics. Follow the links below to see articles we have written with examples of our work in each of these areas.
The strategy map shows cause-and-effect between objectives, visually showing how value is created in your organization.
This holistic view allows you to quickly communicate strategy, identify gaps, and evaluate new initiatives.
The balanced scorecard gives you four complementary perspectives on performance, with objectives and performance measures in each.
Target-to-actual performance and initiatives are tracked to ensure focus on outcomes and alignment of execution.
In the same way that the strategy map visually describes the flow of strategic objectives that create value, the process map describes the flow of the activities that create that value within specific process silos.
Process maps include swim lanes for individuals and/or departments that clearly show who is responsible for each activity, and in what sequence.
Process maps enable continuous improvement by facilitating automation, troubleshooting, waste reduction and resource allocation.
Procedure checklists are a simple and powerful quality assurance tool for organizing and prioritizing all necessary tasks for each activity in a process map.
Checklists clearly indicate the owner and objective of an activity, and can also accommodate time, cost, and other indicators. They are an effective way to teach activities to people, provide a quick way to test improvements, and easily enable workflow automation.
The goal of data analytics is to identify the data that is important for decision making and tie it back to dashboards at the appropriate levels.
Sources can include communications, productivity software, machine sensors, customer data, and transactions.
Once decision makers have access to relevant data, they can ask questions about the data, test different assumptions, and work with analytics translators and data scientists to build models for forecasting.