WHAT IS DIGITEAMS?
We are a technology company that specialises in artificial intelligence, machine learning and blockchain.
Digital transformation within organisations is our focus.
ARTIFICIAL INTELLIGENCE
Artificial intelligence refers to the simulation of human intelligence in machines that are programmed to perform tasks such as data cleansing, speech recognition, decision-making, and language translation.
MACHINE LEARNING
Machine learning is a type of artificial intelligence that involves training computer systems to learn from data and make predictions or decisions without being explicitly programmed or controlled.
BLOCKCHAIN
Blockchain is a decentralised, digital ledger technology that records transactions in a secure and transparent way, using cryptographic techniques to ensure integrity and prevent tampering.
Digital Transformation
A strategic, long-term blueprint that helps you meet your business goals.
Data Services
Enriching your data to make it more relevant and useful within your industry.
Digital Transformation
A strategic, long-term blueprint that helps you meet your business goals.
Data Services
Enriching your data to make it more relevant and useful within your industry.
OUR BLOG
The Power of a Well-Structured Taxonomy for Data Cleansing and Clean Data
Having a well-structured taxonomy can be particularly beneficial for data cleansing and dealing with dirty data. In this article, we will explore how a well-structured taxonomy can help with data cleansing and what are the benefits of clean data. What is a data...
The Crucial Role of Product Information Management (PIM) in Today’s Market
In today's rapidly evolving digital landscape, businesses must continually adapt and optimise their operations to remain competitive. One key aspect of this process is managing product information, PIM systems: a comprehensive solution for organising, managing, and...
The Impact of Dirty MDM Product Data on Manufacturing Companies
Master Data Management (MDM) is crucial for organisations to manage their critical data accurately and consistently. However, MDM product data can become "dirty" due to various reasons, leading to negative impacts on manufacturing companies' cost and performance....
The Significance of Clean Data and KPIs in Business Decision Making
In today's data-driven world, the importance of clean data and Key Performance Indicators (KPIs) cannot be overstated. Without accurate and reliable data, it's impossible to make informed business decisions. Clean data and KPIs provide insights into the performance of...
The Importance of Product Data Quality in Mining Supply Chain Management
Supply chain management is critical in the mining industry, as companies must ensure a steady supply of minerals while minimising costs and managing risks. One key aspect of effective supply chain management is having accurate and complete product data. This...
The Importance of Analysing Product Data Cleanliness Before Acquiring a Company
In the era of data-driven businesses, product data is a valuable asset for any company. However, if the data is inaccurate, incomplete, or inconsistent, it can lead to costly errors and impact decision-making. This article discusses the importance of analysing...
Data Maintenance Practices to Prevent Dirty Data
Data is a valuable asset for organisations, providing insights into customer behaviour, improving decision-making, and driving innovation. However, dirty data can seriously undermine these benefits, leading to incorrect conclusions, poor decision-making, and...
Digital Transformation: Unlocking Business Growth through Technology
Digital transformation is the integration of digital technology into all areas of a business, resulting in fundamental changes to how businesses operate and deliver value to customers. It involves a cultural shift in how businesses think about and use technology,...
Our Blog
Why We Utilise AI To Perform Data Cleansing
In the age of digital transformation, vast amounts of data are being generated every second. As businesses and organisations become more data-driven, the quality and reliability of this data have taken centre stage. Herein lies the significance of data cleansing, and...
How Data Issues Impact ERP Implementation and Ways to Mitigate Them
ERP systems have been hailed as the single point-of-failure for many organisational woes. They promise efficiency, integration and seamless operations. However, there's a silent culprit that can derail even the most meticulously planned ERP implementation: data...
The Power of AICA’s Product Data Capabilities
Clean data forms the foundation of effective business strategy and this cannot be understated in today's business environment. As a leader in product data management, AICA is uniquely positioned to transform how organisations perceive and utilise their data. Our...
The Importance of Product Data Taxonomy and the Role of AICA
Clean and enriched product data is a vital resource for businesses. Properly organised and processed product data can significantly enhance business operations, improve customer experiences, and drive growth. This is where the importance of product data...
Accelerating Your Organisation’s Digital Transformation: Steps to Begin Today and the Role of DigiTeams
In today's business environment, the importance of digital transformation is paramount. Organisations that have not begun to digitise risk falling behind in an increasingly competitive and technology-driven world. Fortunately, the path to digital transformation...
What Is Data Hygiene? Best Practices to Consider
Not all data is created equal and ensuring the accuracy and cleanliness of data is crucial for organisations to make informed choices and maintain a competitive edge. Just as we take care of our personal hygiene to keep ourselves healthy and presentable, data hygiene...