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Smarten Announces SnapShot Anomaly Monitoring Alerts: Powerful Tools for Business Users!

Smarten

Smarten CEO, Kartik Patel says, ‘Smarten SnapShot supports the evolving role of Citizen Data Scientists with interactive tools that allow a business user to gather information, establish metrics and key performance indicators.’

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Defining clear metrics to drive model adoption and value creation

Domino Data Lab

It’s often stated that nothing changes inside an enterprise because you’ve built a model. In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. But what about good decisions?

Metrics 93
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The steep cost of a poor data management strategy

CIO Business Intelligence

It’s a time-tested truth: Getting a head start improves outcomes. Leveraging that data, in AI models, for example, depends entirely on the accessibility, quality, granularity, and latency of your organization’s data. To derive data management’s ROI, your organization can use your relevant key performance indicators (KPIs).

Strategy 116
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Digital Marketing and Measurement Model

Occam's Razor

Winners, well before they think data or tool, have a well structured Digital Marketing & Measurement Model. This article guides you in understanding the value of the Digital Marketing & Measurement Model (notice the repeated emphasis on Marketing, not just Measurement), and how to create one for yourself. Losers don't.

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How to build a successful product development strategy

IBM Big Data Hub

Depending on the product, this phase may also involve wire-framing and modeling as well as costing the price of materials or server space. Often, companies will build several prototypes and make significant changes to their original plans as they assemble a model of their eventual product.

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Software project management challenges — and how to handle them

CIO Business Intelligence

“This often begins during the project’s business case for funding, where we are typically asked to estimate the total outlay to be reported against in a traditional waterfall-phased framework of requirements, design, build, test and deploy,” Chowning says.

Software 122
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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

Here are a set of simple, general key performance indicators (KPIs) that can be used to evaluate the performance of a data analytics team. Errors can originate from various sources, including data collection, integration, models, visualization, governance, and security. Data systems require trust.

Metrics 130