Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Comparison between traditional and machine learning approaches to demand forecasting.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Existek

NOVEMBER 21, 2023

So, what is AI analytics, and why is it so popular these days? It refers to the use of artificial intelligence technologies to analyze and interpret complex data sets. Traditional analytics involve extracting insights from data using statistical methods and predefined rules.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

Altexsoft

JANUARY 14, 2021

With all the transformations in the sphere of cloud and information technologies, it may seem as if data warehousing has lost its relevance. When reviewing BI tools , we described several data warehouse tools. We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision.

Backup 115

Backup Azure Software Review Systems Review 115

Mobilunity

NOVEMBER 24, 2021

However, ETL processes are more technically complex and require the active involvement of developers, testers, analysts, and other IT experts. Extracting, collecting, and analyzing big data is vital for making major business decisions. ETL specialists’ range of tasks can spread to testing, data analytics, QA, and process management.

Development 52

Development Storage Recruiting Architecture 52