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Editorial Review of “Building Industrial Digital Twins”

Rocket-Powered Data Science

2) Streaming sensor data from the IoT (Internet of Things) and IIoT (Industrial IoT) become the source for an IoC (Internet of Context), ultimately delivering Insights-aaS, Context-aaS, and Forecasting-aaS. 3) The consistent emphasis on and elaboration of key DT value propositions, requirements, and KPI tracking.

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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

A drill-through is an interactive dashboard software feature that shows you additional, more specific, and detailed information of a particular element, variable, or KPI, without overcrowding the dashboard. Thanks to modern data science tools , such analysis is easy to create and demonstrate. 4) Cross Tab Filters.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Modern data architectures must be designed for security, and they must support data policies and access controls directly on the raw data, not in a web of downstream data stores and applications. Curate the data. Establish a common vocabulary.

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Digital KPIs: The secret to measuring transformational success

CIO Business Intelligence

The culture transformation and evolutions in digital core competencies that CIOs target as their new collaborative operating models require KPIs to guide executives on where to focus leadership efforts, communications, and process improvements.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The consequences of bad data quality are numerous; from the accuracy of understanding your customers to constructing the right business decisions. That’s why it is of utmost importance to start with utilizing the right key performance indicators – there are numerous KPI examples that can make or break the quality process of data management.

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5 Ways Data Analytics Sets a New Standard for Revenue Marketing

Smart Data Collective

In this article, you’ll learn the different ways data analytics sets a new standard for revenue marketing. Make Smarter Decisions and Meet Your KPI. If you wish to know more about how data analytics can help you make intelligent decisions, visit infinigrow.com and other similar revenue marketing platforms.

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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.