Domino Data Lab

JULY 22, 2019

If you look into the middle bucket, they have three things that they report in common. One is data quality, cleaning up data, the lack of labelled data. Now, working down to the mature part of this, they report two things in common. What do they report in common? You know what? and that gap is widening.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Depict Data Studio

MAY 12, 2020

They host monthly meet-ups, which have included hands-on workshops, guest speakers, and career panels. Data Visualization Society. Amanda is the Operations Director for the Data Visualization Society. COVID-19 Data Quality Issues. Understanding COVID-19 Data Collection. We don’t know that about COVID-19.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. We have a lot of data literacy material published and we annually update our must-have roles work.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Data Science meets Climate Science. At the EDM workshop, I gave a keynote about AI adoption in industry.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Alation

JANUARY 17, 2023

Data would be pulled from various sources, organized into, say, a table, and loaded into a data warehouse for mass consumption. This was not only time-consuming, but the growing popularity of cloud data warehouses compelled people to rethink this process. Examples of data transformation tools include dbt and dataform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. data collection”) show the “process” steps that a team performs, while the boxes (e.g.,

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Depict Data Studio

MAY 8, 2023

Two classes focus on core data visualization skills (translating technical information for non-technical audiences; making sure we don’t just have bar charts; and using colors and fonts that are branded, accessible, and intuitive). I call them deep dives because they focus just on reports, or dashboards, or presentations.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Depict Data Studio

SEPTEMBER 15, 2020

Ten years ago, it was a really big deal to do anything besides a technical report. At a conferene, we stood up and said, “What if we have a technical report but we also have a one-pager for each of the 30 schools in this project? That way, each school can view their own data? It’s me plus a 5 hour/week assistant.

Visualization 105

Visualization Consulting Dashboards Reporting 105

Depict Data Studio

APRIL 16, 2019

A couple weeks ago, I led a series of half-day workshops for faculty members and graduate students at the University of South Carolina in Columbia, South Carolina. The first of two data visualization workshops with @AnnKEmery is underway! We wrote single-spaced reports! Business writing was a different world.

Visualization 56

Visualization Reporting Statistics Dashboards 56

datapine

FEBRUARY 22, 2022

Find out what is working, as you don’t want to totally scrap an already essential report or process. What data analysis questions are you unable to currently answer? Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Sisense

JULY 23, 2021

This analytics engine will process both structured and unstructured data. “We We are constantly collecting data from all kinds of different sources — whether it is a library of documents, analytics reports, pictures, or even videos,” says Chris.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105