Depict Data Studio

MAY 12, 2020

I’ve learned a lot more about Agile processes and software development and thinking about how some of those same practices actually apply when we’re building different analytical applications like dashboards,” Amanda said. They host monthly meet-ups, which have included hands-on workshops, guest speakers, and career panels. DataViz DC.

Visualization 52

Visualization Uncertainty Data Collection Data Quality 52

Ontotext

SEPTEMBER 15, 2020

The use of knowledge graphs doesn’t try to enforce yet another format on the data but instead overlays a semantic data fabric, which virtualizes the data at a level of abstraction more closely to how the users want to make use of the data. Consider using data catalogs for this purpose.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Alation

OCTOBER 28, 2021

This, in turn, empowers data leaders to better identify and develop new revenue streams, customize patient offerings, and use data to optimize operations. To make good on this potential, healthcare organizations need to understand their data and how they can use it. Why Is Data Governance in Healthcare Important?

Data Governance 52

Data Governance Measurement Metrics Modeling 52

AWS Big Data

NOVEMBER 16, 2023

Building a starter version of anything can often be straightforward, but building something with enterprise-grade scale, security, resiliency, and performance typically requires knowledge and adherence to battle-tested best practices, and using the right tools and features in the right scenario. system implemented with Amazon Redshift.

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes.

Management 327

Management Machine Learning Experimentation Metrics 327

DataRobot Blog

DECEMBER 20, 2022

In this article, we’ll first take a closer look at the concept of Real Estate Data Intelligence and the potential of AI to become a game changer in this niche. We’ll then empirically test this assumption based on an example of real estate asset assessment. You can understand the data and model’s behavior at any time.

Management 59

Management Machine Learning Optimization Modeling 59

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. What are the new trends around the Data solution architecture (centralized vs de-centralized?).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52