Taxonomy Audit and How it Can Help Your Business

Introduction

Imagine the gallery on your phone without any categories like ‘Photos’, ‘Videos’, ‘Shared with you’, and more. This would mean hundreds and thousands of photos piled up in your phone with no easy way to navigate through them. Need a picture of the tourist spot you went to in 2018? Well, without any categorization, you would just have to scroll all the way up to 2018 and find it  manually! With company data, which can be much more than just a couple thousand SKUs, this method of finding products without any categorization can be disastrous! Not only will it use up resources, it will also lead to massive delays in all their processes. 

This is why companies that are involved in the management and use of big data have their SKUs organized into a coherent taxonomy. However, with a high accumulation of products, oftentimes, these taxonomies might not be as well maintained as companies would like them to be. This is not a mere organizational issue, this can lead to a major loss for companies if not kept in check. And taxonomy audit does just that.

What is Taxonomy Audit and why is it necessary?

A taxonomy audit is a systematic review and evaluation of the formal classification system used to organize, tag, and structure its data. This process can achieve the following crucial steps-

  1. Ensures data quality and integrity: With an ever-growing product catalog, there might arise duplicate categorizations (such as ‘Electronics’ and ‘Tech and Electronics’), and even terms that might now be outdated. To keep these redundancies and errors in check, taxonomy audit becomes a non-negotiable.
  2. Unlocks Accurate Analytics and Machine Learning (ML): A disorganized and cluttered taxonomy also means a dodgy training of ML models. This can lead to incomprehensible, or even, unreliable results. A taxonomy audit can help clean up and restructure these taxonomies. 
  3. Drives Operational Efficiency and Cost Savings: This feature can also help prevent the massive amounts of resources, such as time and energy, that go into cleaning the taxonomy, or figuring out how to navigate non-standardized data formats. It achieves this by streamlining processes and creating a single, standardized source. 
  4. Enhances Data Discoverability and Accessibility: Auditing can ensure a clean, and accurate tagging of products for better discoverability and easy access. 

Why dataX.ai?

  1. Intuitive Taxonomy Interface: Our user-friendly interface provides a visual of our clients’ product taxonomy structure with multiple hierarchies and versions
  2. Strategic Optimization: Our product data strategists help clients in optimizing navigation paths, such as leaf node attributes, and also suggest whether categories should be merged or split. 
  3. Alignment with Business Goals: We ensure a tailored solution to all our clients, and mould all the optimization strategies as per their business goals.
  4. Comprehensive Audit Reports: Our audit reports also help our clients streamline their taxonomy structure and function more efficiently.