Depict Data Studio

SEPTEMBER 26, 2019

She has long been passionate about creating data visualizations that are easy to understand, tell a story, and help stakeholders make informed decisions. I want my clients to take away key points from the qualitative data I collect and report. What My Qualitative Data Visualization Used to Look Like.

Visualization 69

Visualization Reporting Data Collection Software 69

AWS Big Data

AUGUST 23, 2023

It uses Amazon Simple Storage Service (Amazon S3) as the primary data storage for indexes, adding durability for your data. Collections are able to take advantage of the S3 storage layer to reduce the need for hot storage, and reduce cost, by bringing data into local store when it’s accessed. in OpenSearch Service).

Snapshot 92

Snapshot Dashboards Visualization Metrics 92

CDW Research Hub

NOVEMBER 29, 2021

By understanding these layers early in the IoT Workshop process, your team will have a better chance of adopting an IoT solution that not only sticks, but benefits your business. Collect, visualize and analyze data the sensors and devices gather. Layer 5: Data management. So, what are the six layers of IoT?

IoT 89

IoT Cost-Benefit Internet of Things ROI 89

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 Visualization Data-driven 40

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

Depict Data Studio

SEPTEMBER 15, 2020

On her podcast, we talked about my unexpected shift from being an evaluator to a data visualization designer, along with my tips getting started working for yourself or teaching online. I would help train their nonprofits on evaluation, data collection, data analysis, and data visualization.

Visualization 105

Visualization Consulting Dashboards Reporting 105

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

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

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 Transformation Business Intelligence 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 90

Data-driven IT Measurement Cost-Benefit 90

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

datapine

FEBRUARY 22, 2022

Before going all-in with data collection, cleaning, and analysis, it is important to consider the topics of security, privacy, and most importantly, compliance. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218