Remove Information Remove Measurement Remove Optimization Remove ROI
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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. Align projects with business goals.

ROI 130
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Data Analytics Helps Hedge Funds Improve Customer ROIs

Smart Data Collective

According to a report by Dataversity , a growing number of hedge funds are utilizing data analytics to optimize their rick profiles and increase their ROI. When employing a comprehensive risk management approach, fund managers can proactively take pre-emptive measures to protect their funds.

ROI 71
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What is cloud cost optimization?

IBM Big Data Hub

However, cloud services costs can be higher than anticipated, so monitoring and optimizing your cloud spend is critical. Cloud cost optimization combines strategies, techniques, best practices and tools to help reduce cloud costs, find the most cost-effective way to run your applications in the cloud environment, and maximize business value.

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Machine Learning Helps Social Media Marketers Earn Higher ROIs

Smart Data Collective

How Can Machine Learning Boost Your Social Media Marketing ROI? Machine learning technology is invaluable for helping you optimize your strategy for your audience in a given area. It’s easy to measure the success of your campaign with AI-driven analytics tools Measurement of success is essential for social media marketing.

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Overcome the Challenges of Cloud Optimization & FinOps to Drive Business Value

CIO Business Intelligence

To optimize cloud investments, C-level executives are increasingly adopting cloud financial operations (FinOps). In this article, I’ll explore common cloud optimization and FinOps challenges and strategies for overcoming them. Utilization and efficiency provide vital insights for understanding the business value of expenses incurred.

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Data Maturity Models | Measure The Health Of Your Data

Anmut

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? A data maturity model helps your company measure its data and business health. Why do we need data maturity models?

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

5) How Do You Measure Data Quality? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Data quality management is a set of practices that aim at maintaining a high quality of information. Table of Contents. 1) What Is Data Quality Management?