Acumenian’s Operational Improvement & Process Optimization (OIPO) Services focus on improving, optimizing, and stabilizing business processes with agility and effective time management. This approach will increase productivity while ensuring compliance with local and federal regulations. We base our successful and proven methodology on DMAIC and Six Sigma, with the practical application of the insight of our Advisory, Certified KPI Professionals, and Analytics Team.
The initial process of our OIPO will create a precise mapping of crucial elements of your organization and clearly define business opportunities, goals, potential resources, project scope, and a high-level project timeline. This phase will serve as a baseline to determine Critical Qualityelements and establish the customized Pareto Chart for each initiative.
This phase aims to objectively establish current baselines as the basis for improvement. This data collection step allows us to define performance metrics and determine the magnitude of the gains needed to reach your goals. Our Certified KPI Professionals and Advisory Team will guide the process.
During the analysis phase, our team will identify, validate, and select the root causes of the opportunities while defining the initiatives to be implemented. This step will determine your strategic plan while establishing the type and quality of the data to be collected.
The enhancement phase will identify, test, and implement the best solution to the situations specified in the previous steps. Our team will also identify creative solutions to eliminate the root cause of each condition and prevent process problems.
The final phase of the process will ensure that changes are implemented and embedded into the organizational culture. Additionally, we will optimize operational processes, quantify benefits, monitor results, track improvements, and finish the project with a results-driven approach.
We guide our clients’ decision-making processes using data analytics, strategic advisory, and technology tools, creating intelligent environments that allow them to discover what is not evident.
