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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 137
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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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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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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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5 signs your agile practices will lead to digital disaster

CIO Business Intelligence

“Leadership has a right to ask agile teams when something will be delivered and how much it will cost, but teams have a right to push back on unrealistic expectations,” said Jon Kern, agile transformation consultant and co-author of the Agile Manifesto. He recommends that leaders identify a metric that focuses on value to the customer.

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How to build a successful AI strategy

IBM Big Data Hub

An AI strategy allows organizations to purposefully harness AI capabilities and align AI initiatives with overall business objectives. Define clear objectives What problems does the organization need to solve? What metrics need to be improved? Interview department heads to identify potential issues AI could help solve.

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How to build a successful procurement strategy

IBM Big Data Hub

Determine business objectives Define specific measurable, achievable, relevant and timely (SMART) objectives for the procurement function. These objectives should directly support the overarching business goals and provide a clear framework for the procurement strategy.