When They Need Help With Business Process Improvement?
Outgrowing an accounting system not designed to support integrated processes? Have substantial data siloes with your processes that cause data integration issues? KANO’s business process improvement services are designed to help companies when they struggle with these challenges.
Current Processes Overengineered
Are current processes overengineered? Current processes slowing down your growth? Current processes resulting in data quality issues? Companies seek help from KANO when their current processes might be over-engineered.
Underlying Systems Driving Process Complexity
Is your process complexity driven by the limitations of underlying systems? Do you know if underlying systems might be driving the process complexity? Companies seek help from KANO when their underlying systems might be driving process complexity.
Current Data Driving Process Complexity
Is your overengineered data cause for process complexity? Hosting processes outside of the system because of data quality issues? Companies seek help from KANO when their current data may be driving process complexity issues.
Ad-Hoc Processes Managed Outside Of The System
Managing the majority of the processes outside of the system? Struggling to incorporate your workflows inside the system because of the overengineered processes? Companies seek help from KANO when ad-hoc processes may be managed outside of the system.
Teams Conflicts Over Minor Details Such As SKU Naming
Find yourselves fighting over trivial issues such as SKU naming? Or BOM structure? Struggling to build consensus because of differences in opinion? Companies seek help from KANO when teams might be struggling because of conflicts over minor details.
OUR METHOD
Our Methodology For Business Process Improvement
Our methodology starts with the assessment of your current business processes. This step is typically followed by a deep discovery and analysis phase to probe into the root causes driving the process complexity, followed by change management, an implementation, and an optimization plan.
Step 1: Assessment
Through primary and secondary research, this assessment digs into each of your datasets, transactions, and processes to probe into the root causes driving the process complexity and the stakeholder's analysis of the personas and departments impacted by the change.
Step 2: Business Process Analysis
This is a deep dive into the as-is and to-be process models, along with the workshops with each stakeholder who might be impacted because of the change. Once all the stakeholders are aligned on the to-be state of the processes, the solution phase begins.
Step 3: Solution Analysis
This step digs into the potential solutions, whether they might be process-related or system, and evaluate their pros and cons. This step also performs the financial and technical feasibility of each solution, as well as identifying a solution that is most financially realistic and agreed upon by all parties.
Step 4: Implementation
Depending upon the complexity of the change, whether the change is simply a process or data change. Or a full-blown digital transformation initiative, the length of this phase could vary.
Step 5: Adoption And Optimization
Post implementation, this step measures the desired KPIs and process compliance and adoption in the post-implementation phase. Any deviations? The appropriate steps are taken until the processes are able to hit the KPIs desired.
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