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Vendor Security is Key to Preventing Future Data Breaches

Smart Data Collective

The number of data breaches in the first nine months of 2020 dropped 30% compared to 2019, according to a report published by the Identity Theft Resource Center. As data breaches continue to be a serious concern, organizations need to take stringent measures to protect against them.

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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

How to measure your data analytics team? Gartner attempted to list every metric under the sun in their recent report , “T oolkit: Delivery Metrics for DataOps, Self-Service Analytics, ModelOps, and MLOps, ” published February 7, 2023. Under Velocity, the Mean Time to Deliver Data metric measures the time it takes to deliver data.

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Agile Digital Transformation for Data-Driven CEOs with Power BI

Jen Stirrup

Data is essential for CEOs when it comes to running their business, particularly because it offers them an insight into customer behaviour and permits them to take accurate measures of what really matters to their organization. Top 10 Key Performance Indicators CEOs Need to Know. Why Do CEOs Care About Data?

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KPI Management And Best Practices: How To Find The Perfect KPI Solutions?

datapine

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. What happens next?

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Solution overview In this post, we walk through a call center analytics solution that provides insights into the call center’s performance in near-real time through metrics that determine agent efficiency in handling calls in the queue. HandleTime – This customer service metric measures the length of a customer’s call.

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The art and science of data product portfolio management

AWS Big Data

This is due to a common misconception about data mesh as a data strategy, which is that it is effectively self-organizing—meaning that once presented with the opportunity, data owners within the organization will spring to the responsibilities and obligations associated with publishing high-quality data products.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Also, datasets are accessed for ML, data exporting, and publishing needs.