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

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

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. Conclusion.

Dashboards 52

Dashboards Cost-Benefit Key Performance Indicator Sales 52

IBM Big Data Hub

SEPTEMBER 11, 2023

This meant that each enhancement recommendation was not only infused with the voice of the stakeholders and end users, but also included strategic business case developments in which AZDCS was able to measure and report upon the impacts to their business.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

FineReport

JULY 4, 2023

Manufacturing KPI dashboard Manufacturing Command Room Dashboard (by FineReport) Manufacturing KPI dashboard measures the performance of teams or workshops by focusing on indicators related to the production process. That’s where FineReport comes in.

KPI 52

KPI Key Performance Indicator Dashboards Sales 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 Data-driven Modeling 64

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 Science Data Transformation 52

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

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

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

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

Jet Global

MARCH 28, 2025

Reporting: Developing and presenting financial reports to senior management. Data Management: Ensuring data integrity and accuracy in financial systems. Data integrity issues arise due to the use of multiple disparate systems for data entry and management across the production and supply chain network.

Forecasting 52

Forecasting Finance Metrics Reporting 52