IBM Journey to AI blog

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Quality 130

Data Quality Metadata ETL Big Data 130

IBM Journey to AI blog

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 130

Metadata Data Quality Data Discovery Data Scientist 130

IBM Journey to AI blog

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

ESG 239

ESG Metadata AI AI 239

IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 173

Data Quality Data Integration Metadata Automation 173

ODSC - Open Data Science

SEPTEMBER 27, 2023

Storage Optimization: Data warehouses use columnar storage formats and indexing to enhance query performance and data compression. Here are some essential strategies: Time-Stamped Snapshots: Maintaining time-stamped snapshots of the data allows for a historical view of changes made over time.

Big Data 98

Big Data Metadata ETL Business Intelligence 98

Pickl AI

JANUARY 16, 2024

billion 28% AI-Powered Data Analytics Transformation in decision-making speed. billion 15.83% Metadata-Driven Data Fabric Systematic data management efficiency. Value in 2022 – $18.10 billion Value by 2030 – $125.64 Value in 2024 – $305.90 Billion Value by 20230 – $738.80 Value in 2021 – $1.12

Data Analysis 52

Data Analysis Data Scientist Data Science Machine Learning 52

Unite.AI

DECEMBER 5, 2023

This article will explore data warehousing, its architecture types, key components, benefits, and challenges. What is Data Warehousing? Data warehousing is a data management system to support Business Intelligence (BI) operations. It can handle vast amounts of data and facilitate complex queries.

Metadata 162

Metadata Big Data ETL Data Ingestion 162