Duplicates in databases: causes, consequences, and effective solutions

identifier ses doublons / identify duplicates

Duplicates in databases are a recurring issue for many companies, leading to unnecessary costs and productivity losses. Although initially invisible, this phenomenon can compromise the efficiency of internal processes and hinder decision-making.

Why Do Duplicates Accumulate in Databases?

Companies, whether small or large, often face a constant influx of data from various sources: sales, purchases, inventory, CRM, etc. However, human errors or systemic issues can quickly lead to the creation of duplicates. Here are the main causes:

1. Human Data Entry Errors

Data entry mistakes are one of the most common causes of duplicates in databases. For example, a product reference might be entered twice due to a typo, an extra space, or a lack of attention to detail.

2. Database Mergers

When two databases are merged—such as during an acquisition or partnership—it is common for similar but slightly different records to be duplicated.

3. Lack of an Effective Deduplication System

Without dedicated tools to identify and remove duplicates, it becomes difficult for a company to proactively clean its database. As a result, duplicates persist undetected

4. Variations in Data Nomenclature

Differences in how information is structured, such as product names or internal codes, can create duplicates, making inventory and sales management particularly complex.

The Impact of Duplicates on Business Performance

Duplicates in databases are not just a minor issue. They can have serious consequences, affecting multiple aspects of a company.

1. Reduced Team Productivity

Employees must spend time searching for and correcting errors, slowing down operational processes and causing productivity losses.

2. Errors in Inventory Management

Duplicates can distort inventory forecasts, leading to errors in restocking or unexpected stock shortages. These mistakes can result in overstocking or shortages, harming profitability.

3. Increased Operating Costs

Managing duplicates often leads to additional costs. For instance, a product appearing under multiple references can trigger unnecessary purchases or excessive stock levels, increasing storage costs.

4. A Barrier to Innovation and Digital Transformation

Poorly organized data cluttered with duplicates slows down process automation and data utilization in artificial intelligence or Business Intelligence tools. This prevents the company from leveraging its data for innovation.

How to Avoid and Eliminate Duplicates in Your Databases

Fortunately, there are solutions to identify, eliminate, and prevent duplicates from appearing in your systems. One such solution is mykheoos, a SaaS platform developed by kheoos, designed to optimize reference and inventory management while cleaning databases.

élimnate doublons / éliminer ses doublons

1. Duplicate Identification

mykheoos uses advanced artificial intelligence to analyze and detect duplicates in your database. With its precise comparison algorithm, the platform identifies identical or similar references, even if they are recorded differently.

2. Duplicate Removal or Merging

Once duplicates are identified, mykheoos allows you to merge or automatically delete them, ensuring a clean and efficient database. This process simplifies inventory management, improves forecasting, and reduces errors related to redundant references.

3. Optimization of Dormant Inventory with kheoos market

  1. Another advantage of the mykheoos platform is its ability to optimize the management of dormant inventory. By identifying items that are unused or misreferenced, mykheoos allows you to resell excess products on kheoos market, a dedicated marketplace. This helps reduce financial losses associated with unvalued stock.

Preventing Duplicates: Best Practices to Adopt

To prevent duplicates from reappearing, it is crucial to take a proactive approach and implement certain practices within your organization.

  • Data Standardization
    Establishing data standardization rules is essential to ensure uniform product reference entry and avoid variations that could lead to duplicates.

  • Automated Data Cleaning
    Automation is a key solution for maintaining data quality. Tools like mykheoos continuously clean the database, ensuring that no duplicates persist.

  • Employee Awareness and Training
    Training your teams on proper data entry and the use of duplicate detection tools is crucial to preventing long-term problems caused by human errors.

Conclusion: Eliminating Duplicates to Optimize Performance

Duplicates in databases pose a threat to efficiency, productivity, and profitability. They cause errors in inventory management, increase costs, and hinder innovation. However, with tools like mykheoos by kheoos, it is possible to detect and eliminate these duplicates effectively while optimizing dormant inventory management.

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