Octopai

MAY 2, 2022

Today, your business users have the same perspective on data analytics. Your dashboards, charts, visualizations… they’re all products. . A successful data analytics team is one that can increase the quantity of data analytics products they develop in a given time while ensuring (and ideally, improving) the level of data quality.

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Alation

SEPTEMBER 28, 2022

DataOps is a set of technologies, processes, and best practices that combine a process-focused perspective on data and the automation methods of the Agile software development methodology to improve speed and quality and foster a collaborative culture of rapid, continuous improvement in the data analytics field.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Howard Dresner

JANUARY 20, 2014

What is your organization planning to try to achieve in 2014? Will it have legs in 2014, I asked? Another tweeted, “Through the use of location analytics organization can see new patterns in their data that graphs and charts don’t reveal.” I’d love to know what plans and aspirations your company has for 2014.

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

Occam's Razor

SEPTEMBER 21, 2015

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way!

Visualization 160

Visualization Key Performance Indicator Slice and Dice Strategy 160

Domino Data Lab

FEBRUARY 4, 2019

Curiosity as an antidote for a typical enterprise anti-pattern: in the absence of narrative, people make up stories (read: myths) from whatever partial data is at hand that serves the immediate interests(see chapter 2 in Understanding Context by Andrew Hinton (2014). I double-dare you not to visualize that cohort!

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

JANUARY 31, 2022

BI software uses algorithms to extract actionable insights from a company’s data and guide its strategic decisions. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. 6) Smart and faster reporting. click to enlarge**.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214