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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. It provides insights and metrics related to the performance and effectiveness of data quality processes. We can analyze the data quality score and metrics using Athena SQL queries.

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5 Ways Data Analytics Sets a New Standard for Revenue Marketing

Smart Data Collective

Data analytics refers to the systematic computational analysis of statistics or data. Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies. Consequently, you can make smarter decisions and hit your metrics and overall business goals.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. An examination of cloud capabilities and maturity is a key component of this digital transformation and cloud adoption presents tremendous upside.

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Set up alerts and orchestrate data quality rules with AWS Glue Data Quality

AWS Big Data

The Lambda function is responsible for converting the data quality metrics and dispatching them to the designated email addresses via Amazon SNS. The Lambda function sends an SNS notification containing data quality statistics to the designated email address.

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Take Advantage Of Mobile Dashboards – Examples & Selected Designs

datapine

According to the statistics portal Statista , there are currently around 4.78 It offers ease of access through mobile devices, on the go, with critical metrics displayed at-a-glance. This benefit alone is an incredible plus point for modern organizations looking to gain an all-important competitive edge in a cutthroat digital age.

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

Business Over Broadway

Roadblocks for executives that prevent them from moving forward on their digital transformation initiatives: Roadblocks include poor culture, lack of skills, lack of funding, and, maybe, most importantly, no clear problem statement for why they are wanting/needing digital transformation. IoT Artificial Intelligence.

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Business User Analytics: The Do’s and Don’ts of Success!

Smarten

Here are some sobering statistics: According to technology research firm, Gartner, ‘85% of data analytics projects fail, and only 20% of analytics insight projects will deliver business outcomes.’. Provide measurements and metrics to monitor success after implementation. Achieve data analytics and user adoption goals.