Altexsoft

JUNE 26, 2019

When conducting various quality assurance activities , development teams are able to look at the product from the user’s standpoint. What is user acceptance testing and how is it different from quality assurance? Traditionally, quality assurance engineers will be responsible for end-user feedback processing.

Quality Assurance 85

Quality Assurance Testing Weak Development Team Software Review 85

Gorilla Logic

MAY 19, 2021

Modern enterprise software must integrate with your critical business systems and data, such as billing, inventory management, ERP, and CRM. Get the most out of your data with data warehousing and analytics. . Get the most out of your data with data warehousing and analytics.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Apiumhub

DECEMBER 22, 2023

AI in Product and Business Analytics Conf – February 27. This event explores the role of AI in analyzing business and product data, offering insights into advanced analytics techniques and the use of AI for strategic decision-making. Another one of Geekle’s online events.

Case Study 60

Case Study Quality Assurance Software Development Architecture 60

Mobilunity

NOVEMBER 24, 2021

Data models usually are the product of cooperation between data scientists, business analytics, and programmers. ETL troubleshooting and quality assurance. Data modeling helps to simplify the transformation process by defining the unified database structure. Develop a DWH architecture and administration.

Development 52

Development Storage Recruiting Architecture 52

CIO

APRIL 9, 2025

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel.

Analytics 153

Analytics Artificial Inteligence Enterprise Data 153

Altexsoft

DECEMBER 16, 2021

This robust tool is typically used to perform data governance for AI applications, business analytics, or powerful knowledge bases, all supported by a self-service data pipeline. It can be deployed on cloud, on premises, and on IBM Cloud Pak for Data – their data virtualization platform.

Enterprise 59

Enterprise How To Technical Review Systems Review 59

CIO

APRIL 8, 2025

Appoint accountable individuals within each domain to keep quality, approve changes and escalate issues. Bring together IT, business, analytics and compliance leaders to guide priorities, resolve disputes and make shared decisions about quality, access and usage. Data stewardship drives ownership and embeds trust locally.

Weak Development Team 153

Weak Development Team Technical Review Technical Advisors Systems Review 153