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MRO spare parts optimization

IBM Big Data Hub

A recent report shows a significant increase in the cost of manufacturing downtime from 2021 to 2022, with Fortune Global 500 companies now losing 11% of their yearly turnover which amounts to nearly USD 1.5 regulations, undergoing digital transformation and the need for cost-cutting. A 40% reduction in inventory costs.

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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Cost Savings : Big data tools such as FineReport , Hadoop, Spark, and Apache can assist businesses in saving costs by storing and handling huge amounts of data more efficiently. Prescriptive Analytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”

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Machine Learning and AI Underpin Predictive Analytics to Achieve Clinical Breakthroughs

Cloudera

We recently announced the availability of MetiStream Ember on top of Cloudera, which offers an end-to-end interactive analytics platform specifically for the healthcare and life sciences industries. Ember exploits FHIR beyond data exchange to empower interoperable analytics.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. Predicting forthcoming trends sets the stage for optimizing the benefits your organization takes from them.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Data storage Structured, semi-structured, or unstructured batch data is stored in an object storage because these are cost-efficient and durable. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics. Enrichment typically involves adding demographic, behavioral, and geolocation data.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses. We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow. How can we make it happen?

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

With a success behind you, sell that experience as the kind of benefit you can help improve. Some data is more a risk than valuable. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer? Risk Management (most likely within context of governance). GI-GO of course we all know.