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5 key metrics for IT success

CIO Business Intelligence

IT leaders are drowning in metrics, with many finding themselves up to their KPIs in a seemingly bottomless pool of measurement tools. There are several important metrics that can be used to achieve IT success, says Jonathan Nikols, senior vice president of global enterprise sales for the Americas at Verizon. Here they are.

Metrics 139
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How generative AI correlates IT and business objectives to maximize business outcomes

IBM Big Data Hub

Business owners often grapple with the frustrating reality of discovering IT issues impacting their operations only after customer complaints have arisen, leaving them with little opportunity to mitigate problems proactively. IT operations must show how observability directly contributes to business success and outcomes.

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Take Complete Charge Of Customer Satisfaction Metrics – Customer Effort Score, NPS & Customer Satisfaction Score

datapine

Indeed, perception and interaction are the two most pivotal pillars of any customer experience – and exceptional customer experience often leads to improved customer satisfaction, a true catalyst for success in the digital age of business. Read here how these metrics can drive your customers’ satisfaction up!

Metrics 134
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What is Predictive Analytics and Can it Help You Achieve Business Objectives?

Smarten

Can Predictive Analytics Help You Achieve Business Objectives? If an organization wishes to be successful in the market and in its competitive efforts, it must accurately forecast and predict the future of its business, plan for new locations and products or services, and optimize internal operations.

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Pitching a DataOps Project That Matters

DataKitchen

Your data consumers are focused on business objectives. They need to grow sales, pursue new business opportunities, or reduce costs. What would it mean for a company to lead its industry in savvy and business agility? Impactful DataOps projects are those that help colleagues and executives pursue their objectives.

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Bringing an AI Product to Market

O'Reilly on Data

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 363
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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

Getting drunk on metrics: “Sometimes we get overly zealous about our metrics, have too many of them, and try to measure too many unmeasurable things,” said Jim Highsmith, co-author of the Agile Manifesto. He recommends that leaders identify a metric that focuses on value to the customer.