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Increased investments in financial close automation appears to have enabled organizations to cope with the challenges they've been facing over the past two years, especially in the monthly close.
Organizations must become more sophisticated in their understanding and support of the employee experience to ensure the satisfaction and loyalty of the workforce.
The data lake is enabling organizations to economically store and process large volumes of raw data from multiple operational applications in a variety of formats to be queried for a variety of analytic workloads.
All employees should feel their work is meaningful and valued, have a clear understanding of their career trajectory, and have a good work experience supported by appropriate technology tools.
Sales planning is essential to managing and improving sales performance. Without a planning process, sales metrics will provide historical context rather than future visibility into sales activities, impacting sales performance.
Data lakes offer a way to manage big data available for analysis. A data lake combines massive storage capabilities for any type of data in any format with the processing power needed to transform and analyze the data.
Agent desktop systems are designed to enable contact center agents to handle interactions efficiently and effectively. Unifying agent desktops helps simplify and speed interactions, improving customer experience.
Sales and Operations Planning (Integrated Business Planning) is a management discipline that enables executives to assess trade-offs between multiple interdependent business components.
Machine learning is the application of specific data science algorithms becoming more accurate as the system records outcomes and processes data resulting in people and technology being more efficient in their operations.
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