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The art and science of data product portfolio management

AWS Big Data

How do we define “risk” and “value” in the context of data products, and how can we measure this? Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on).

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How to unlock a scientific approach to change management with powerful data insights

IBM Big Data Hub

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation. So how do you spot this early, and react or even prevent this in a timely and effective manner?

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What’s the Difference: Quantitative vs Qualitative Data

Alation

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. A big part of data analysis includes understanding what’s essential about collected information. Measures of central tendency. Percentages.

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Six steps to creating a successful IT strategy: A guide for CIOs

CIO Business Intelligence

If competitors are using advanced data analytics to gain deeper customer insights, IT would prioritize developing similar or better capabilities. Step 5: Gap analysis Identifying gaps The gap analysis involves comparing the current state of IT with the desired future state as outlined in the IT strategy.

Strategy 133
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Security is dead: Long live risk management

CIO Business Intelligence

Translating security requirements into actionable guidance and controls allows delivery teams to build secure systems from the start.