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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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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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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.

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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?

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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. See: The Rise of Data Discovery Has Set the Stage for a Major Strategic Shift in the BI and Analytics Platform Market for a discussion of this topic.

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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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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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