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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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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.

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12 Marketing Reports Examples You Can Use For Annual, Monthly, Weekly And Daily Reporting Practice

datapine

But first, we will start with a basic definition and some tips on creating these kinds of reports. Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age. Let’s dig deeper. click to enlarge**.

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Measuring Validity and Reliability of Human Ratings

The Unofficial Google Data Science Blog

Once we’ve answered that, we will then define and use metrics to understand the quality of human-labeled data, along with a measurement framework that we call Cross-replication Reliability or xRR. Reliability and validity: Definitions and measurement Two fundamental concepts emerged from this research: reliability and validity.

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Simplify data loading into Type 2 slowly changing dimensions in Amazon Redshift

AWS Big Data

The star schema is a popular data model for building data marts. Star schema and slowly changing dimension overview A star schema is the simplest type of dimensional model , in which the center of the star can have one fact table and a number of associated dimension tables.

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Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

It also handy explanations of the metrics, with key context where necessary. Hence your CXOs should definitely not get a data puke like the one above. They should get a handful of numbers/charts (ideally identified upfront by the Digital Marketing and Measurement Model – DMMM) and they should get your brain in a box.

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Blending Art and Science: Using Data to Forecast and Manage Your Sales Pipeline

Sisense

Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. In this blog, we share some ideas of how to best use data to manage sales pipelines and have access to the fundamental data models that enable this process.

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