Remove 2019 Remove Data Integration Remove IoT Remove Metrics
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A 5D model to assess your IoT readiness

Cloudera

The number one challenge that enterprises struggle with their IoT implementation is not being able to measure if they are successful or not with it. Most of the enterprises start an IoT initiative without assessing their potential prior hand to be able to complete it. Each metric is associated with one or more questions.

IoT 54
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The DataOps Vendor Landscape, 2021

DataKitchen

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines.

Testing 300
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2019 was a particularly major year for the business intelligence industry. Suddenly advanced analytics wasn’t just for the analysts.

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Customer Experience and Emerging Technologies: My CXChat Summary on Artificial Intelligence, Machine Learning and the Customer

Business Over Broadway

IoT Artificial Intelligence. I conducted a customer experience best practices study and found that loyalty leading companies focus analytics efforts on customer understanding rather than internal metrics. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration.