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Business Intelligence tools & use cases

Apiumhub

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

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Re-Thinking the Storage Infrastructure for Business Intelligence

Infinidat

Re-Thinking the Storage Infrastructure for Business Intelligence. Data placement strategies fetch active data being used onto the performance tier but strive to keep the less active data on a separate, massively scalable tier that exhibits a much lower $/GB cost – an archive tier. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

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Equinix goes partner prospecting with AI

CIO

Multinational data infrastructure company Equinix has been capitalizing on machine learning (ML) since 2018, thanks to an initiative that uses ML probabilistic modeling to predict prospective customers’ likelihood of buying Equinix offerings — a program that has contributed millions of dollars in revenue since its inception.

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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). We are working to transform ourselves into a data company mindset, finding newer ways to leverage data to support business growth.”

Budget 363
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Better, faster decisions: Why businesses thrive on real-time data

CIO

To access data in real time — and ensure that it provides actionable insights for all stakeholders — organizations should invest in the foundational components that enable more efficient, scalable, and secure data collection, processing, and analysis. Business Intelligence

Data 270
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Should You Move Your Data Analytics to the Cloud?

Datavail

Systems to respond quickly and cheaply to changes in business conditions or acquisitions. Scalability. They relate to low cost, scalability, quick and agile systems to produce analytics, and a desire to have analytics that consider input from across the organization. Your Organization’s Business Intelligence Maturity.

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5 Technical Reasons for a Cloud Analytics Migration

Datavail

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Agility and scalability. How to Get Started with Cloud Analytics.