Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality 52

Data Quality Data Governance Artificial Intelligence Artificial Intelligence 52

Smart Data Collective

JUNE 11, 2025

Reading: Monitoring Data Without Turning into Big Brother Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective. The Role of Monitoring in Big Data Growth There are real costs to ignoring data quality issues, especially when they scale.

Big Data 66

Big Data Big Data Analytics Analytics 66

Smart Data Collective

APRIL 5, 2022

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

Data Quality 128

Data Quality Big Data Big Data Analytics 128

Dataconomy

MARCH 5, 2025

Data visualization: Creating dashboards and visual reports to clearly communicate findings to stakeholders. Job title history of data scientist The title “data scientist” gained prominence in 2008 when companies like Facebook and LinkedIn utilized it in corporate job descriptions.

Data Scientist 91

Data Scientist Citizen Data Scientist Exploratory Data Analysis Machine Learning 91

SAS Software

MARCH 6, 2025

Where were you when the global banking crisis of 2008 hit? I was in banking marketing, to be specific and I supported our mortgage department. I vividly recall our banks chief risk officer repeatedly refusing to enter the adjustable-rate mortgage subprime lending business. Many banks were eating our [.]

Data Quality 52

Data Quality 52

Alation

JULY 15, 2022

Data as an Insight: Operational Improvement. The mandate: Financial services businesses must meet extensive regulatory requirements, which demand full governance including: Data ownership, definitions, agreed-upon data quality rules and results, and lineage (BCBS239, CCAR, etc.).

Data Governance 89

Data Governance Data Quality Data Scientist 89

Ocean Protocol

SEPTEMBER 20, 2024

It combines a wide range of data sources, including macroeconomic indicators from the World Bank, historical cryptocurrency prices obtained through the CCXT library, and market sentiment data from Google Trends. Key technical indicators such as RSI, MACD, and Bollinger Bands are calculated to enhance the dataset’s predictive power.

Data Scientist 40

Data Scientist Machine Learning Machine Learning Data Quality 40