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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

At the same time, inventory metrics are needed to help managers and professionals in reaching established goals, optimizing processes, and increasing business value. We will finish by presenting a business dashboard that will show how those metrics work together when depicting an inventory data-story. What Are Inventory Metrics?

Metrics 286
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Increase Analytics Influence: Leverage Predictive Metrics!

Occam's Razor

Almost all metrics you currently use have one common thread: They are almost all backward-looking. If you want to deepen the influence of data in your organization – and your personal influence – 30% of your analytics efforts should be centered around the use of forward-looking metrics. Predictive metrics!

Metrics 143
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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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Build event-driven architectures with Amazon MSK and Amazon EventBridge

AWS Big Data

Based on immutable facts (events), event-driven architectures (EDAs) allow businesses to gain deeper insights into their customers’ behavior, unlocking more accurate and faster decision-making processes that lead to better customer experiences. In almost any case, choosing an event broker should not be a binary decision.

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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

Rename the CloudWatch event timestamp to mark the observed timestamp when the log was generated using the rename_keys processor , and add the current timestamp as the processed timestamp when OpenSearch Ingestion handled the record using the date processor : # Processor logic is used to change how log data is parsed for OpenSearch.

Metadata 121
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Nexthink scales to trillions of events per day with Amazon MSK

AWS Big Data

Real-time data streaming and event processing present scalability and management challenges. In this post, Nexthink shares how Amazon Managed Streaming for Apache Kafka (Amazon MSK) empowered them to achieve massive scale in event processing. In the following sections, Nexthink introduces their product and the need for scalability.