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

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

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 91

Data-driven IT Measurement Cost-Benefit 91

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. . – back to the structure of the dataset.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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

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