Depict Data Studio

AUGUST 18, 2020

” aim for 1+ visual per page; add 15+ styles of visuals using my checklist; go beyond the bar chart; lower the reading grade level of your writing; and tell a story through dark-light contrast and takeaway text. Each year, I lead dozens of in-person workshops for thousands of people. By Popular Demand! 6 Live Sessions.

Reporting 52

Reporting Visualization Dashboards Consulting 52

FineReport

AUGUST 17, 2021

Are you still using the traditional cumbersome and redundant data collection methods? Have you ever neglected key indicators because of irrelevant data in your decision-making? Digital dashboard also realizes the tracking of data and indicators for monitoring the operating conditions of the enterprises.

Dashboards 52

Dashboards Cost-Benefit Key Performance Indicator Sales 52

FineReport

JULY 4, 2023

By carefully selecting appropriate KPIs for different business areas, they can be utilized to organize and visualize extensive datasets. This approach not only helps extract additional value from organizational data but also facilitates setting targets and measuring incremental progress in crucial areas of the business.

KPI 52

KPI Key Performance Indicator Dashboards Sales 52

IBM Big Data Hub

SEPTEMBER 11, 2023

A pain point tracker (a repository of business, human-centered design and technology issues that inhibit users’ ability to execute critical tasks) captures themes that arise during the data collection process. The pain point tracker clusters the foundational data in which value metrics are then applied.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

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. 4) Start visualizing data using business intelligence tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 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. ML model interpretability and data visualization. training data”) show the tangible outcomes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Depict Data Studio

MAY 8, 2023

All of these classes fall under the broad data communications umbrella. One class focuses on data analysis (cleaning and tabulating our raw datasets to get them ready for graphs). This workshop is highly interactive. Each section begins with a demonstration followed by a break for hands-on practice. SPSS, SAS, etc.),

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Depict Data Studio

MAY 12, 2020

In April, I sat down with Amanda Makulec, one of my longtime data and evaluation friends, to learn about visualizing COVID-19 responsibly. Amanda is the Data Visualization Capability Lead at Excella; a co-organizer for Dataviz DC; and the Operations Director for the Data Visualization Society (DVS).

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Domino Data Lab

AUGUST 1, 2021

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN. layer-wise relevance propagation), model distillation (e.g.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

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

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

MARCH 31, 2023

What I Did at the Conference I had the pleasure and opportunity to present to attendees four times: An overview of our modern data and analytics strategy and operating model. A workshop that helps diagnostically map specific data to specific business outcomes. An overview of one of our D&A Hype cycles.

Analytics 40

Analytics Marketing Data-driven Visualization 40