Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Kentik

APRIL 16, 2018

We live in the age of analytics, powered by incredible advances in distributed computing and big data technology. Companies are turning to data and analytics to improve all aspects of how they do business. KPI data from network elements and monitoring probes. Syslog data from various servers and network elements.

Performance 40

Performance Cloud Big Data KPI 40

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Inventory-related KPIs.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. Predictive analytics requires numerous statistical techniques, including data mining (detecting patterns in data) and machine learning. Let’s explore several popular areas of its application.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Apiumhub

MARCH 9, 2021

Data integration, for example, should be dependent upon data architecture standards since data integration requires data interactions between two or more data systems. A data architecture describes the data structures used by a business and its computer applications software. Data should be curated.

Architecture 52

Architecture Data Artificial Inteligence Artificial Intelligence 52