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CIO metrics are failing digital transformation; it’s time to radically rethink success

CIO Business Intelligence

However, the metrics used to evaluate CIOs are hindering progress. While the CIO role has expanded significantly, the metrics used to evaluate their performance often remain tied to traditional IT values like cost management, operational efficiency, and system uptime. The CIO is no longer the chief of “keeping the lights on.”

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A Beginner’s Guide To Inventory Metrics And Best Practices

datapine

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value.

Metrics 286
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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

CRAWL: Design a robust cloud strategy and approach modernization with the right mindset Modern businesses must be extremely agile in their ability to respond quickly to rapidly changing markets, events, subscriptions-based economy and excellent experience demanding customers to grow and sustain in the ever-ruthless competitive world of consumerism.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

6) Data Quality Metrics Examples. Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. The data quality analysis metrics of complete and accurate data are imperative to this step. Table of Contents. 2) Why Do You Need DQM?

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Use Amazon Kinesis Data Streams to deliver real-time data to Amazon OpenSearch Service domains with Amazon OpenSearch Ingestion

AWS Big Data

This can help you optimize long-term cost for high-throughput use cases. After you identify the steady state workload for your log aggregation use case, we recommend moving to Provisioned mode, using the number of shards identified in On-Demand mode. In general, we recommend using one Kinesis data stream for your log aggregation workload.

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Amazon EMR on EC2 cost optimization: How a global financial services provider reduced costs by 30%

AWS Big Data

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This sped up their need to optimize.

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Getting started with Kafka client metrics

IBM Big Data Hub

Apache Kafka stands as a widely recognized open source event store and stream processing platform. One key advantage of opting for managed Kafka services is the delegation of responsibility for broker and operational metrics, allowing users to focus solely on metrics specific to applications.

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