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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

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Best Ways to Integrate Big Data into Your Business

Smart Data Collective

A fresh photo, a text message, or a search query contributes to the growing volume of big data. IoT Sensors generate IoT data. Smart devices use sensors to collect data and upload it to the Internet. All in all, big data refers to massive data collections obtained from various sources.

Big Data 104
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Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Cloudera

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality.

IoT 121
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Big Data Trends That Are Disrupting Management Maintenance

Smart Data Collective

Asset data collection. Data has become a crucial organizational asset. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions.

Big Data 138
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AI-First Benefits: 5 Real-World Outcomes

Cloudera

The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. Among the benefits of AI-first strategies are: Operational efficiency. Benefits aplenty. Faster decisions .

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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

From the factory floor to online commerce sites and containers shuttling goods across the global supply chain, the proliferation of data collected at the edge is creating opportunities for real-time insights that elevate decision-making. billion connected IoT devices by 2025, generating almost 80 billion zettabytes of data at the edge.

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