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Can Data-Driven Accounts Receivable Management Strengthen Client Relationships?

Smart Data Collective

The benefits of data analytics in accounts receivable was first explored by a study from New York University back in 2007. Identify routinely tardy customers with predictive analytics. Companies can use their predictive analytics models to decide how to resolve issues with tardiness.

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Case Study – Smarten Integrates R Scripting for Gujarat Environment Management Institute (GEMI) for Predictive Analysis

ElegantJ BI

Gujarat Environment Management Institute (GEMI) is an ISO 9001:2008, ISO 14001:2004, OHSAS 18001:2007 certified Autonomous Institute under the auspices of the Gujarat Forest Department agency. The GEMI charter supports the “Think Global, Act Local” concept and is integrally involved in the pursuit of environmental protection for India.

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Case Study – Smarten Integrates R Scripting for Gujarat Environment Management Institute (GEMI) for Predictive Analysis

ElegantJ BI

Gujarat Environment Management Institute (GEMI) is an ISO 9001:2008, ISO 14001:2004, OHSAS 18001:2007 certified Autonomous Institute under the auspices of the Gujarat Forest Department agency. The GEMI charter supports the “Think Global, Act Local” concept and is integrally involved in the pursuit of environmental protection for India.

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Case Study – Smarten Integrates R Scripting for Gujarat Environment Management Institute (GEMI) for Predictive Analysis

ElegantJ BI

Gujarat Environment Management Institute (GEMI) is an ISO 9001:2008, ISO 14001:2004, OHSAS 18001:2007 certified Autonomous Institute under the auspices of the Gujarat Forest Department agency. The GEMI charter supports the “Think Global, Act Local” concept and is integrally involved in the pursuit of environmental protection for India.

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Make Every Sprint Count with DevOps Analytics

Sisense

DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. Once you’ve started to measure DevOps KPIs, the next step will be to start implementing changes in the process by becoming predictive with your analytics. But is that really true?