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

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

by YOBO Studios | Nov 11, 2023 | Informative

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...
Dirty Data in Organisations: Common Causes

Dirty Data in Organisations: Common Causes

by YOBO Studios | Nov 11, 2023 | Cleansing, Informative

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...
The Impact of Dirty Data on Procurement and Warehousing

The Impact of Dirty Data on Procurement and Warehousing

by YOBO Studios | Nov 11, 2023 | Cleansing, Informative

Businesses are quickly realising that their operational efficiency is only as good as the data they base it on. This truth reverberates loudly in sectors such as procurement and warehousing, where the success of processes is largely predicated on the quality of data...
Why Clean Data is The Backbone of an Effective Material Requirements Planning System

Why Clean Data is The Backbone of an Effective Material Requirements Planning System

by YOBO Studios | Nov 11, 2023 | Cleansing, Informative

In the manufacturing industry, one thing is clear: if you want to streamline operations, minimise costs, and meet customer demands, an efficient Material Requirements Planning (MRP) system is non-negotiable. But the effectiveness of your MRP is only as good as the...
The Power of Clean Data: Exploring the 1-10-100 Rule with AICA

The Power of Clean Data: Exploring the 1-10-100 Rule with AICA

by YOBO Studios | Nov 11, 2023 | Cleansing, Informative

In an age where data has become one of the most valuable commodities, the quality of this data has a profound impact on a business’s bottom line. Data inaccuracies, also known as “dirty data,” can lead to costly errors, inefficiencies, and...
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