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Corporate Performance Management Market Share, Size, Key
Players, Research and Forecasts to 2025 | Hexa Research
“ The global corporate performance management (CPM) market is likely to
exhibit significant growth in the coming years.”
27 December 2018
The global corporate performance management (CPM) market is likely to exhibit significant growth in the coming years.
Increasing need for minimizing operational costs and ensuring transparency related to business strategy among all
employees can boost the growth of the market. Additionally, companies are adopting CPM solutions for improving
performance by focusing more on core business. These solutions will also enable them to fulfill regulatory compliance
and enhance security. Applications help to transform captivated information into operation tactics. It can also help with
control and planning cycle along with customer relationship optimization requirements.
Soaring need for better financial planning process is playing a pivotal role in the growth of the market. CPM is also
acknowledged as business performance management or enterprise performance management (EPM) tool. It involves
business intelligence along with management and monitoring enterprise performance in important aspects related to
operational cost, revenue, and return on investment (ROI). It consists of functions related to planning, budgeting, and
forecasting. CPM solutions are commonly implemented for better and quicker budgeting or financial reporting in case of
financial performance management tools. However, various other applications have evolved significantly over the years.
These solutions also include a wide range of applications such as labor scheduling and budgeting, workforce analytics,
and managing attendance and time, absence or leave, and task and activity. However, surging demand for complete
management tools along with influx of mobile ready applications is poised to drive the market. For instance, Kronos
Incorporated developed a solution called Kronos absence management solution, which can be easily deployed and
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