by aicadata | Aug 6, 2024 | Cleansing
We would like to thank and reference Gartner for the information referenced in this article. In Gartner’s latest report “Top GenAI Use Cases That Work Best for Supply Chain Logistics,” Carly West and Jose Reyes highlight the transformative impact of generative...
by aicadata | Aug 5, 2024 | Cleansing
Centralising procurement across multiple companies yields significant benefits like cost savings, improved efficiency, and stronger negotiating power. However, this centralisation process introduces various data-related challenges, such as inconsistencies, quality...
by aicadata | Aug 1, 2024 | Cleansing
In the complex web of global supply chains, the quality of data can either propel businesses towards unprecedented efficiency and profitability or drag them into a mire of escalating costs and missed opportunities. Dirty data—a term that encapsulates inaccurate,...
by aicadata | Jul 30, 2024 | Cleansing
Master Data Management (MDM) serves as the central hub for accurate and consistent product information within an organisation. However, real-world product data can be riddled with errors, inconsistencies, and missing values. This hinders business efficiency, analytics...
by aicadata | Jul 28, 2024 | Cleansing
At AICA, we understand that each organisation faces unique challenges in managing their product data. Whether you’re dealing with data errors, inconsistencies, or simply looking to classify your data by UNSPSC, our suite of services offers a flexible approach to...
