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Simplify Metrics on Apache Druid With Rill Data and Cloudera

Cloudera

Cloudera has partnered with Rill Data, an expert in metrics at any scale, as Cloudera’s preferred ISV partner to provide technical expertise and support services for Apache Druid customers. Deploying metrics shouldn’t be so hard. Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler.

Metrics 87
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Data Storytelling: What's Easy and What's Hard

Juice Analytics

Here are 25 more lessons we've learned (the hard way) about what's easy and what's hard when it comes to telling data stories: Easy: Picking a good visualization to answer a data question Hard: Discovering the core message of your data story that will move your audience to action Easy: Knowing who is your target audience Hard: Knowing what motivates (..)

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Predictive Modeling to support business needs, forecast, and test theories.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

At the core of everything you will do in digital analytics is the concept of metrics. How do you define a metric: It is simply a number. Your digital analytics tools are full of metrics. Helpful post: Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies.]. Now you have your foundation, metrics and KPIs.

Analytics 150
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How Model Observability Provides a 360° View of Models in Production

DataRobot Blog

How do you track the integrity of a machine learning model in production? Model Observability can help. By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Model Observability Features.

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Ten Hidden Gems In Google Analytics: Do Smarter Web Data Analysis!

Occam's Razor

You can simply click on either one of the two above and see the valuable-drilldown view… All the standard Acquisition, Behavior and Outcome metrics you are used to can be leveraged to identify valuable segments. A lot on that is in this post for Super Analysis Ninjas: Multi-Channel Attribution Modeling: The Good, Bad and Ugly Models.

Analytics 155
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13 power tips for Microsoft Power BI

CIO Business Intelligence

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. You can even use large language models (LLMs) to explain features in a Power BI dataset, including easy-to-understand descriptions of complex DAX queries so less experienced users can take advantage of them.