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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. The status of digital transformation Digital transformation is a complex, multiyear journey that involves not only adopting innovative technologies but also rethinking business processes, customer interactions, and revenue models.

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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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Take Complete Charge Of Customer Satisfaction Metrics – Customer Effort Score, NPS & Customer Satisfaction Score

datapine

Forrester Research defines the ‘customer experience’ as: “How customers perceive their interactions with your company.”. Read here how these metrics can drive your customers’ satisfaction up! Customer satisfaction metrics evaluate how the products or services supplied by a company meet or surpass a customer’s expectations.

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Utilize The Undeniable Power Of Professional COO Dashboards & Reports

datapine

That’s why using a modern dashboard tool is vital for monitoring and analyzing multiple touchpoints and presenting data in real-time, visually, and with strong interactivity levels so any operational activity can’t be left unnoticed. Choose the most valuable metrics for your industry. What is a COO report?

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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.

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Real-time artificial intelligence and event processing  

IBM Big Data Hub

By leveraging AI for real-time event processing, businesses can connect the dots between disparate events to detect and respond to new trends, threats and opportunities. AI and event processing: a two-way street An event-driven architecture is essential for accelerating the speed of business.

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From data lakes to insights: dbt adapter for Amazon Athena now supported in dbt Cloud

AWS Big Data

Athena plays a critical role in this ecosystem by providing a serverless, interactive query service that simplifies analyzing vast amounts of data stored in Amazon Simple Storage Service (Amazon S3) using standard SQL. Next, use the dbt Cloud interactive development environment (IDE) to deploy your project.