datapine

OCTOBER 10, 2019

A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data. How To Create A Dashboard – 6 Best Practices.

Dashboards 146

Dashboards Visualization Sales Metrics 146

Occam's Razor

APRIL 4, 2016

Here's something important I've observed in my experience in working with data, and changing organizations with ideas: Great Analysts are always skeptical. But, it has become mission critical over the last few years as the depth, breadth, quantity and every other dimension you could apply to data has simply exploded.

Marketing 93

Marketing Strategy Analytics Reporting 93

datapine

OCTOBER 30, 2019

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. The business intelligence industry has been revolutionized over the past decade and data reports are in on the fun. Read on to see why data reports matter and our top data reporting tips.

Reporting 127

Reporting Visualization Dashboards KPI 127

Occam's Razor

SEPTEMBER 21, 2015

As in, the former is in the business of providing data, the latter in the business of understanding the performance implied by the data. Reflect on the implication of that why and so what on your current skills/career. The focus, hence, is on telling stories. The difference between a Reporting Squirrel and Analysis Ninja?

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. But what are “trends”?

Machine Learning 363

Machine Learning Software Testing Technology 363