CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. Careers, Certifications, Data Mining, Data Science

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

CIO Business Intelligence

JULY 28, 2023

This strategic initiative also makes data consistently available for insight and maintains its integrity. Without a coherent strategy, enterprises face heightened security risks, rocketing storage costs, and poor-quality data mining. Many enterprises have become data hoarders, however.

Risk 80

Risk Management Cost-Benefit Data mining 80

Octopai

APRIL 19, 2021

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance. Donna Burbank.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

DataKitchen

OCTOBER 11, 2021

To learn more about DataOps Engineering, watch our webinar on this topic, A Day In the Life of A DataOps Engineer. Priya has more than 10 years of experience in IT, Data Warehousing, Reporting, Business Intelligence, Data Mining and Engineering, and DataOps. About the Author. Priyanjna Sharma.

Testing 152

Testing Metadata Dashboards Statistics 152

Jedox

OCTOBER 22, 2020

In addition to using data to inform your future decisions, you can also use current data to make immediate decisions. Some of the technologies that make modern data analytics so much more powerful than they used t be include data management, data mining, predictive analytics, machine learning and artificial intelligence.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Rita Sallam

JULY 22, 2016

This past Tuesday, my amazing colleague Cindi Howson and I conducted a Webinar, “Using The BI and Analytics Magic Quadrant To Modernize Your Capabilities”. We didn’t have time to get to all the great questions, so below are a few responses, plus some really interesting results from the webinar poll. You can see it On Demand here.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Jet Global

NOVEMBER 7, 2023

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52