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Social Media Analytics: Twitter: Quantitative & Qualitative Metrics

Occam's Razor

Are not just reporting "hits", rather coming up with clever metrics. Quantitative Metrics / Analyses. While on the surface they might seem useful, I am always suspicious of compound metrics. See more here for Compound Metrics: Four Not Useful KPI Measurement Techniques ]. Velocity. *

Metrics 125
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Enterprises willing to spend up to $250 million on gen AI, but ROI remains elusive

CIO Business Intelligence

As leaders work to define the right metrics, those measures must be tightly aligned with the business strategy and should account for the cost of not investing. Privacy and cybersecurity concerns (71%) and employee adoption hurdles (46%) further compound implementation barriers.

ROI 81
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Simplify your query performance diagnostics in Amazon Redshift with Query profiler

AWS Big Data

Amazon Redshift provides performance metrics and data so you can track the health and performance of your provisioned clusters, serverless workgroups, and databases. This will open the query plan in a tree view along with additional metrics on the side panel. For more information, refer to Amazon Redshift clusters.

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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

However, limitations with standard analytical models t can keep them from assessing and recording those metrics. The advent of artificial intelligence and big data in sports management makes the measurement of the metrics a lot easier. Streaming and broadcasting. Performance and training analysis.

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Detect and handle data skew on AWS Glue

AWS Big Data

How to detect data skew When an AWS Glue job has issues with local disks (split disk issues), doesn’t scale with the number of workers, or has low CPU usage (you can enable Amazon CloudWatch metrics for your job to be able to see this), you may have a data skew issue. Another thing that you can use is the summary metrics for each stage.

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Krones real-time production line monitoring with Amazon Managed Service for Apache Flink

AWS Big Data

Managed Service for Apache Flink manages the underlying Apache Flink components that provide durable application state, metrics, logs, and more, and Kinesis enables you to cost-effectively process streaming data at any scale. A rule in this system represents the state of a single metric (such as temperature) or a collection of metrics.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

For example, an exploration of historical data may reveal that an increase in customer satisfaction (or dissatisfaction) with one particular product is correlated with some other satisfaction (or dissatisfaction) metric downstream at a later date.