Alation

JULY 6, 2021

But first, they need to understand the top challenges to data governance, unique to their organization. Source: Gartner : Adaptive Data and Analytics Governance to Achieve Digital Business Success. As data collection and volume surges, so too does the need for data strategy. Why Do Data Silos Happen?

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Ontotext

MAY 18, 2020

THE ROLE OF TEXT IN HEALTHCARE: Text is a unique resource because medical reports carefully describe the diagnosis associated with multimodal and multimedia data and also the relevant image content. There are four types of data sources that the team will work with. Information source: H2020 grant for Computational Pathology ].

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

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. the practice of making, sharing, and collecting crosswalks. Introduction.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

datapine

OCTOBER 14, 2020

The point of such dashboards is not to simplify the working environment and analysis processes since there are massive volumes of data collected on a daily level, and companies need solutions that will bring them to the right answer at the right time. To further complicate things, the data can also be in multiple “languages”.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Occam's Razor

OCTOBER 12, 2017

The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose. I read articles they write. For Digital Analysts, it is creating data collection mechanisms, writing queries, creating reports, doing segmentation, creating rules, identifying business focus areas based on data etc.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

The Unofficial Google Data Science Blog

JULY 18, 2023

Measurement challenges Assessing reliability is essentially a process of data collection and analysis. To do this, we collect multiple measurements for each unit of observation, and we determine if these measurements are closely related. Both published articles in the same volume of the British Journal of Psychology.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Jet Global

MAY 1, 2023

Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product. While data exports may satisfy a portion of your customers, there will be many who simply want reports and insights that are available “out of the box.”

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52