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

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. Sharing dashboards with stakeholders is also simple and efficient. That’s where FineReport comes in.

KPI 52

KPI Key Performance Indicator Dashboards Sales 52

Depict Data Studio

SEPTEMBER 15, 2020

I would help train their nonprofits on evaluation, data collection, data analysis, and data visualization. I was trying to coordinate all of it while I was traveling around the world teaching workshops. You can make it interactive just like you do a regular presentation.

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. 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

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. The modern data stack can be a lot to take in at first.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. The first one is about company culture.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. In IJCAI 2017 Workshop on Explainable Artificial Intelligence (XAI), pages 24–30, Melbourne, Australia, 2017. References.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

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