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In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

With the help of business process modeling (BPM) organizations can visualize processes and all the associated information identifying the areas ripe for innovation, improvement or reorganization. There’s a clear connection between business process modeling and digital transformation initiatives. BPM for Regulatory Compliance.

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Faster data exploration in Jupyter through Lux

Domino Data Lab

They offer a clear way to collaborate with others throughout the process of data exploration, feature engineering and model fitting and through utilizing some clear best practices , can also become living documents of how that code operates. Notebooks have become one of the key primary tools for many data scientists.

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6 Principles to Make your Data Story Stick

Juice Analytics

This is the (Juicebox) Way: We made drill-down exploration the default model for the user experience. Data visualizations are automatically connected together, so slicing-and-dicing is de-facto. Rather than “telling” with a static data presentation, when you offer the ability to explore data together, it builds trust.

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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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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Short story #4: Multi-dimensional Slicing and Dicing! Short story #2: Predictive Modeling, Quantifying Cost of Inaction. The work of the New York Times team inspired me it to do some predictive modeling for inaction in our world of digital marketing.

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What is OLAP?

Jedox

To get an idea of how it works, the cube works really well as a model. With the multidimensional model described above using the cube, multiple entries of the same dimensions become redundant. The multidimensional approach to data storage allows you to quickly create ad hoc reports, for example by slicing the cube.

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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.