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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

10 Consequences of Poor Data Quality in Business Operations

10 Consequences of Poor Data Quality in Business Operations

In the digital era, the role of data in driving business decisions is pivotal. However, the quality of the data under consideration directly influences the efficacy of those decisions. Understanding the importance of data quality, we must first delve into the concept...

Data Accuracy 101: Why it Matters and How to Achieve it

Data Accuracy 101: Why it Matters and How to Achieve it

It is no question that businesses are finding themselves in an ocean of data, struggling to navigate towards the shores of insight, analytics, and intelligence. What's concerning is that even though millions are being invested in data management solutions, a study...

The Pitfalls of Using ChatGPT for Data Cleansing and Enrichment

The Pitfalls of Using ChatGPT for Data Cleansing and Enrichment

In today's data-driven business environment, the quality, accuracy, and richness of data determine the value of the insights that can be extracted from it. Data cleansing and data enrichment are essential to this. Data cleansing entails identifying and correcting...

Understanding the Impacts of Dirty Data on IT Systems

Understanding the Impacts of Dirty Data on IT Systems

As the backbone of many modern business operations, data plays a vital role in guiding decision-making, strategy, and customer relationship management. In an era where businesses are increasingly dependent on data analytics, one factor that can disrupt the smooth...

Why It’s Important to Use an Algorithm to Detect Dirty Data

Why It’s Important to Use an Algorithm to Detect Dirty Data

In today's world, data is becoming increasingly important in making business decisions, and having accurate data is crucial. However, dirty data, which is data that is inaccurate, incomplete, or inconsistent, can lead to bad decisions being made. Dirty data can arise...

Dirty Data in Organisations: Common Causes

Dirty Data in Organisations: Common Causes

Dirty data, or data that is inaccurate, incomplete, or inconsistent, is a major challenge for many organisations. It can lead to incorrect insights, bad decisions, and ultimately, financial losses. In this article, we will discuss the most common causes of dirty data...

Data Enrichment

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Data Creation

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Data Cleansing

Product Data Management ROI in Mining: A Case Study

Product Data Management ROI in Mining: A Case Study

Project Overview AICA, in collaboration with a channel partner, embarked on a journey to revolutionise data management for a mining operation in the United States. Utilising our state-of-the-art AI-driven SaaS platform, our goal was to tackle substantial data quality...

Implementations

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