AWS Big Data

JUNE 27, 2023

We wanted to include interactive, real-time visualizations to support recruiters from one of our government clients. Our previous solution offered visualization of key metrics, but point-in-time snapshots produced only in PDF format.

Metrics 98

Metrics Dashboards Interactive Visualization 98

CIO Business Intelligence

SEPTEMBER 22, 2022

But we’re moving back to a world that’s digitally analog, with things like big data visualization. And they introduced this idea, the VUCA world: Volatile, Uncertainty, Complex, and Ambiguous. On metrics: It’s been said a lot that data is the new oil. And we have to learn to thrive in that world.

Uncertainty 94

Uncertainty Forecasting Visualization Big Data 94

IBM Big Data Hub

SEPTEMBER 11, 2023

Government executives face several uncertainties as they embark on their journeys of modernization. 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.

Data-driven 86

Data-driven IT Measurement Cost-Benefit 86

AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 85

Forecasting Data Warehouse Machine Learning Modeling 85

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. If your business is using big data and putting dashboards in front of analysts, you’re missing the point.”. Being model-driven is like using GPS.”. “If

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. Now many people are using Spark.

Management 110

Management Machine Learning Experimentation Metrics 110

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. That was the origin of big data.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109