Workload planning is the process of cutting and planning tasks to keep the team working effectively and meaningfully while monitoring progress over time. It provides a framework for what tasks need to be completed and who on the team should work on those tasks.

Resource planning, on the other hand, deals with planning and mapping the needs of different resources over the duration of the project. In both areas, there is great pressure to optimize efficiency and utilization.

There is for instance the pressure to reduce costs or increase service levels without increasing headcount while considering the work-life balance of workforce. These are just the primary challenges that organizations are facing with managing their workload and workforces.

Despite all implemented and available solutions for automation and improvement of processes, successful operations remain largely dependent on having the right people, with the right skills, in the right place at the right time. M2P helps organizations overcome the previously described challenges by identifying the best ways to plan assignments, the right shift patterns, the right organizational structures, and the right ways of working. We help delivering tool-based, substantiated staffing needs considering various growth and service level scenarios, future role needs and qualifications, and the right insourcing/outsourcing strategy. Our benchmarks help identifying further levers for improvement. 

With M2P, clients get access to industry benchmarks, IT market intelligence, and business acumen. Our industry benchmarks help reduce the risk of under- or over-estimating expected optimization potential through highlighting what other organizations have experienced and which practices, including labor agreements, have been best. 

Our IT market intelligence helps our clients understand what is technically possible from technology promoted by the market and what the associated going rates are. Our business acumen helps our clients to understand and choose from all potential efficiency opportunities considering their associated pro/con and cost/benefit characteristics.

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