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What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Analytics 322
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AI & Business Analytics: A Smart Guide

Sunflower Lab

Diving into World of Business Analytics Data analytics is not an old concept, it is an essential practice which has driven business success in the past and the present, it will confidently drive the success in the future too.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. What Is a Public Cloud?

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PaaS, IaaS, and SaaS: Making the Right Choice for Your Oracle Cloud Migration

Datavail

Cloud computing has gone from being a cutting-edge technology to a well-established best practice for businesses of all sizes and industries. Oracle Analytics Cloud. compute, network, storage, etc.) Oracle’s PaaS offering is also incorporated within OCI and makes use of both Oracle and open-source technologies.

Cloud 97
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Optimizing The Data Warehouse: A Big Data Blueprint from Pentaho

CTOvision

Save data costs and boost analytics performance. Access to every data source – from operational to relational to NoSQL technologies. The company saves on storage costs and speeds-up query performance and access to their analytic data mart. Affordably scale machine data from storage devices for customer application.

Big Data 119
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Embracing Intelligent Process Automation for Future Business Operations

Sunflower Lab

This blog explores how the implementation of Intelligent Process Automation leads to growth and productivity of business and its operations. Thus, the integration of these 3 technologies helps in a smooth flow of work. 3. Use data analytics and insights to make decisions.

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Data – the Octane Accelerating Intelligent Connected Vehicles

Cloudera

Future connected vehicles will rely upon a complete data lifecycle approach to implement enterprise-level advanced analytics and machine learning enabling these advanced use cases that will ultimately lead to fully autonomous drive. The vehicle-to-cloud solution driving advanced use cases.

Data 105