Remove Business Objectives Remove Measurement Remove ROI Remove Technology
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5 tips for maximizing ROI of IT projects

CIO Business Intelligence

One of the most important parameters for measuring the success of any technology implementation is the return on investment (ROI). Providing a compelling ROI on technology initiatives also puts CIOs in a stronger position for securing support and funds from the business for future projects.

ROI 132
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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. To name a few — products and services that are delivered on time and on budget, and overall IT ROI.” You have to have a good measure of which teams need to move fast and what they are really achieving.”

Metrics 140
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NaaS and the “Experience Economy”

CIO Business Intelligence

They require simple platforms that enable rapid access to new technology to ensure the network meets the needs of their business. . Technology that minimizes operational risk and provides advanced data management and protection that spans the entire edge-to-core continuum. Transitioning to Business Value .

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Think Your Company Doesn’t Need a Chief Data Officer? Here Are 7 Reasons Why It Does

Cloudera

CDO ties data strategy to ROI Data-related decisions should be made with ROI in mind. The implementation of modern data architecture technologies—data lakehouses, data mesh, and data fabric—should produce concrete returns on investment to ensure continued support from leadership.

IT 75
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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. Ad hoc: Next is ad hoc maturity, which likely means the organization has begun its journey through cloud technologies like infrastructure as a service ( IaaS) , the lowest-level control of resources in the cloud.

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What is COBIT? A framework for alignment and governance

CIO Business Intelligence

First released in 1996, COBIT (Control Objectives for Information and Related Technologies) was initially designed as a set of IT control objectives to help the financial audit community better navigate the growth of IT environments. COBIT 4 was released in 2005, followed by the refreshed COBIT 4.1

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Data-Driven Approaches for Email Marketing Automation in Your Business

Smart Data Collective

Companies that neglect to use data analytics, AI and other forms of big data technology risk falling behind to their competitors. Data Technology Makes Email Marketing Automation Far More Feasible. Key performance metrics are identified and measured. You just need to know how to leverage your email engagement data strategically.