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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring.

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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. 4) AIOps increasingly became a focus in AI strategy conversations. will look like).

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A Window Into the Future of Data in Motion and What It Means for Businesses

Cloudera

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. At the same time, 5G adoption accelerates the Internet of Things (IoT). Just as important is the dimension of data accuracy or other measures of performance.

IoT 99
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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 55
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

In 2020, BI tools and strategies will become increasingly customized. Accordingly, the rise of master data management is becoming a key priority in the business intelligence strategy of a company. That way, any unexpected event will be immediately registered and the system will notify the user.

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Asset lifecycle management best practices: Building a strategy for success

IBM Big Data Hub

But where do you start and how do you know which ALM strategy is right for you? The maintenance strategies that companies use most frequently are broken down into four stages of the asset lifecycle. A sound ALM strategy ensures compliance no matter where data is being stored. What is asset lifecycle management (ALM)?

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A Window Into the Future of Data in Motion and What It Means for Businesses

CIO Business Intelligence

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. At the same time, 5G adoption accelerates the Internet of Things (IoT). Just as important is the dimension of data accuracy or other measures of performance.

IoT 82