Interactive Metrics Workshop 
Juice Analytics
NOVEMBER 22, 2021
if you are slide-oriented or Juicebox if you are presenting more data and want interactivity. She has musings on her blog and outstanding workshops such as “3 Keys Every Data Practitioner Needs to Confidently Present Insights and Inspire Action”. We recommend Beautiful.ai
CIO Business Intelligence
JULY 13, 2022
Metrics that create a narrative and show how the business compares to competitors, the wider industry, and globally against all businesses give a clear picture that allows board members to set strategy. They want something that’s going to punch them in the face,” he said.
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datapine
JANUARY 14, 2020
By increasing the service levels, customer satisfaction, and loyalty, among many other metrics, organizations can ultimately generate business value and increase profits. To provide the best possible standards of CS on a consistent basis, understanding how your consumers interact with your business is vital.
datapine
JANUARY 7, 2020
By gaining the ability to gather, organize and analyze the metrics that are most important to your organization, you stand to make your business empire more intelligent than ever before – and executive reporting and business dashboards will help you do just that. We are indeed living in a time rich in invaluable digital data.
AWS Big Data
MAY 4, 2023
Moreover, it’s hard to right-size these settings for some use cases such as interactive analytics due to lack of visibility into future requirements. The data, fetched from the Kubernetes Metric Server, feeds into statistical models that VPA constructs in order to build recommendations.
Juice Analytics
DECEMBER 16, 2019
In our workshops on data storytelling, dashboard design, and data visualization, we are always emphasing the need to simplify. And certainly no more adding of metrics. Our dashboards don’t need to include every potential metric, every possible filter, and piles of charts. Less is more. Who else believes in “less is more?”
DataRobot Blog
OCTOBER 18, 2022
Model Observability – the ability to track key health and service metrics for models in production – remains a top priority for AI-enabled organizations. We dug into interactive visualizations such as the DataRobot drift drill down plot , where users can investigate the exact feature and time period affected by data drift in a model.
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