Altexsoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. machine learning and deep learning models; and business intelligence tools. By the way, we have a video dedicated to the data engineering working principles.

Data 87

Data Data Engineering Big Data Architecture 87

Altexsoft

JULY 22, 2022

Some of the important KPI categories that have to be monitored are. Financial, business intelligence, and general ledger systems. The users’ reviews prove that it’s a great platform to increase operational efficiency, optimize asset utilization, improve safety, and get better business results. How to choose a TOS?

Operating System 52

Operating System Systems Review System Technical Review 52

Altexsoft

NOVEMBER 9, 2021

Check a brief video explaining how demand forecasting works. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. This KPI also helps categorize your suppliers. Inventory-related KPIs.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Altexsoft

NOVEMBER 15, 2022

Read on to find out what occupancy prediction is, why it’s so important for the hospitality industry, and what we learned from our experience building an occupancy rate prediction module for Key Data Dashboard — a US-based business intelligence company that provides performance data insights for small and medium-sized vacation rentals.

Hotels 52

Hotels Machine Learning Artificial Inteligence KPI 52

Altexsoft

OCTOBER 3, 2019

Predictive analytics requires numerous statistical techniques, including data mining (detecting patterns in data) and machine learning. Organizations already use predictive analytics to optimize operations and learn how to improve the employee experience. Let’s explore several popular areas of its application.

Analytics 16

Analytics Company Off-The-Shelf How To 16