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Guidelines on Using Data Analytics for Finding the Right Price Points

Smart Data Collective

Data analytics technology is helping businesses boost profitability in many ways. A few years ago, Walter Baker and his colleagues at McKinsey reported that one of the biggest advantages of big data in business is that it can help with pricing decisions. How Can Data Analytics Help with Creating a Pricing Strategy?

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5 perspectives on modern data analytics

CIO Business Intelligence

Unfortunately, analytics initiatives seldom do nearly as well when it comes to stakeholder satisfaction. Pratt offered an excellent analysis of why data analytics initiatives still fail , including poor-quality or siloed data, vague rather than targeted business objectives, and clunky one-size-fits-all feature sets.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. What is Big Data? What is Big Data? It is an ever-expanding collection of diverse and complex data that is growing exponentially.

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Pitching a DataOps Project That Matters

DataKitchen

DataOps addresses a broad set of use cases because it applies workflow process automation to the end-to-end data-analytics lifecycle. These benefits are hugely important for data professionals, but if you made a pitch like this to a typical executive, you probably wouldn’t generate much enthusiasm.

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NaaS and the “Experience Economy”

CIO Business Intelligence

Organizations should embrace value-based decision making that focuses on the business objectives and that benefits for the various stakeholders (technology, operations, procurement, finance, security, data analytics, environment, etc.) The traditional method of purchasing based on price and product features is outdated.

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Achieve Data Center Excellence with IBM and VMware

IBM Big Data Hub

Get inspired A successful data center implementation can best be described as a distributed, dynamic, efficient and resilient IT nucleus. Healthcare: Support telemedicine and patient data analytics, requiring stringent compliance regulations.

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Cloud Analytics Powered by FinOps

Cloudera

Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives. However, the reality is that the “move to cloud” is a turbulent flight for many of them. But FinOps is not only about cost management and control.