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Cloud analytics migration: how to exceed expectations

CIO

A cloud analytics migration project is a heavy lift for enterprises that dive in without adequate preparation. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 130
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Data analytics in the cloud: understand the hidden costs

CIO

Luke Roquet recently spoke to a customer who recounted the shock of getting a $700,000 bill for a single data science workload running in the cloud. This doesn’t mean the cloud is a poor option for data analytics projects. Cloud march is on That doesn’t seem to be slowing the ongoing cloudward migration of workloads.

Analytics 246
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Possibilities at the Edge: Putting Intelligence Where your Data is

CIO

But, for businesses that want to stay ahead in the data race, centralizing everything inside massive cloud data centers is becoming limiting. In a world of emerging technologies and powerful new analytics models, speed is as critical as accuracy—and in this world, the cloud is going to fall short.

Data 340
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Sports venues advance goals, enhance fan experience with data analytics

CIO

A big part of that effort involves advanced analytics to gain better insight into what’s happening at a venue in real-time so staff can respond rapidly to changing conditions. Here are three examples of how sports organizations are using analytics to gain better insights into their venues.

Sport 242
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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Predictive analytics helps Fresenius anticipate dialysis complications

CIO

German healthcare company Fresenius Medical Care, which specializes in providing kidney dialysis services, is using a combination of near real-time IoT data and clinical data to predict one of the most common complications of the procedure.

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What is DataOps? Collaborative, cross-functional analytics

CIO

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 325
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The Ultimate Embedded Analytics Guide

In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.

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How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

Sam and Jessica faced a problem that many product managers face: their customers wanted better analytics and reporting, but analytics wasn’t the core function of the SaaS product Sam and Jessica manage. To make things tougher, they needed something flexible, scalable and capable of serving different user types.