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Dive into the world of Machine Learning,  Product Data Management and Unlocking Operation Efficiency. Our articles are packed with valuable insights that will benifit your organisation as well as expert tips to help you harness the full potential of your Product Data with the help of AI and ML.

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Latest Articles

Understanding Product Data Decay within an MDM System

Understanding Product Data Decay within an MDM System

In today's data-driven world, the integrity of product data is paramount for organisations striving to maintain a competitive edge. Master Data Management (MDM) systems play a crucial role in centralising, standardising, and managing product data across the...

Understanding Dirty Product Data: Causes, Effects, and Solutions

Understanding Dirty Product Data: Causes, Effects, and Solutions

There's no doubt that the accuracy and cleanliness of product data are critical to the efficiency and effectiveness of operations. However, many organisations struggle with "dirty" product data, which can significantly hinder their performance. What is Dirty Product...

The Consequences of Ignoring Dirty Product Data

The Consequences of Ignoring Dirty Product Data

Organisations rely heavily on accurate and clean data to make informed decisions, streamline operations, and deliver exceptional customer experiences. However, many companies, particularly those dealing with extensive Maintenance, Repair, and Operations (MRO) data,...

How Warehouse Managers Can Avoid Inventory Disasters

How Warehouse Managers Can Avoid Inventory Disasters

The ability to maintain accurate inventory levels is critical to ensuring smooth operations, meeting customer demand, and optimising costs. Yet, one of the most common and frustrating challenges that warehouse managers face is the reliance on inaccurate product...

Understanding the Root Causes of Data Quality Problems

Understanding the Root Causes of Data Quality Problems

In today’s data-driven world, maintaining high-quality data is crucial for effective decision-making and operational efficiency. However, organisations often encounter significant challenges in ensuring the integrity and accuracy of their data. These challenges can be...

Addressing M&A Due Diligence Challenges with AICA

Addressing M&A Due Diligence Challenges with AICA

Mergers and acquisitions (M&A) are complex processes that involve a multitude of challenges, particularly when it comes to managing and integrating data from multiple sources. Practitioners often face significant hurdles such as data inconsistencies, data quality...

Data Enrichment

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Data Creation

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Data Cleansing

The Importance of Short and Long Descriptions in Product Data

The Importance of Short and Long Descriptions in Product Data

Short and long product descriptions each play unique but complementary roles in an organisation’s product data management and overall efficiency. They ensure that accurate and relevant product information is easily accessible to those who need it, driving efficient...

Understanding Spend Analysis

Understanding Spend Analysis

Spend analysis is a critical process that helps organisations track, manage, and optimise their expenditures. For industrial organisations—such as manufacturing, construction, oil & gas, mining, and utilities—where operations involve complex supply chains,...

How AICA’s API Service Layer Elevates Market Aggregators

How AICA’s API Service Layer Elevates Market Aggregators

Whether you’re operating an ERP, MDM, EAM, PIM, or marketplace platform, streamlining and enhancing product data across multiple systems isn’t just an operational need—it’s a strategic advantage. Our API-driven service layer offers a scalable, comprehensive solution...

The Importance of Data Governance Within Organisations

The Importance of Data Governance Within Organisations

While many organisations recognise the value of data cleansing and enrichment, fewer focus on the framework that ensures this clean data remains accurate, secure, and compliant over time. Data governance is that framework. It provides the structure, rules, and...

Implementations

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