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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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A Planning Center of Excellence Delivers Performance Improvement

David Menninger's Analyst Perspectives

Having the software and data to automate manual tasks and assist in analytical work provides FP&A groups with the time and tools to transform into a center of excellence. A major practical benefit of using AI is putting predictive analytics within easy reach of any organization.

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Knowledge

Occam's Razor

Accuracy, Precision & Predictive Analytics. Multiplicity: Succeed Awesomely At Web Analytics 2.0! Rethink Web Analytics: Introducing Web Analytics 2.0. Data Mining And Predictive Analytics On Web Data Works? Web Analytics Demystified. 2007 Predictions: Web Analytics.

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A Big Data Imperative: Driving Big Action

Occam's Razor

All the way back in 2007, I was evangelizing the value of moving away from the "small data" world of clickstream data to the "bigger data" world of using multiple data sources to make smarter decisions on the web. Here's the "bigger web analytics data" picture from 2007… Multiplicity!

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Applied Energy Services doubles down on data quality

CIO Business Intelligence

Reyes has been with AES since 2007, working his way up the organization ladder from an SAP integration lead in Buenos Aires to application security manager, IT project director, and director of digital transformation today. Click on the podcast players below to listen to Parts 1 & 2 of the conversation.

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Decide to Decide Digitally: New Forrester Research

Decision Management Solutions

Neil Raden and I introduced the basic classification of decisions used here in our book, Smart (Enough) Systems , back in 2007: Strategic, one-time one-off decisions typically made with plenty of time for analysis. Identify the predictions that would change and improve your decision-making. Does that change the offers we make?

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. The Dawn of Telco Big Data: 2007-2012. Let’s examine how we got here.