Insight

A unit of measure (UOM) is a standardised quantity used to express the magnitude or size of a physical attribute. It provides a reference point for quantifying and comparing measurements across different contexts and domains. In relation to product information, UOMs encompass various metrics such as length, weight, volume, time, and currency, each with specific… Read More »What is Unit of Measure?

A data integration process used in migrating and managing data between systems. It involves extracting data from a source system, transforming it to correct inconsistencies, format it uniformly, and enrich its quality, and then loading it into a target system for analysis or operational use. ETL is essential for ensuring data accuracy and usability in… Read More »What is ETL?

In eCommerce, the digital shelf refers to the virtual space where products are displayed and promoted on various online platforms, such as e-commerce websites, marketplaces, and social media channels. It covers every single touchpoint where consumers interact with and evaluate products digitally. The ‘shelf’ concept mirrors the arrangement of goods in a physical store but… Read More »What is Digital Shelf?

A subset of artificial intelligence (AI) which employs artificial neural networks with multiple layers to model and understand complex data representations. It mimics the structure and function of the human brain, enabling machines to learn from large volumes of data and extract hierarchical features automatically. Deep learning algorithms excel at tasks such as image recognition,… Read More »What is Deep Learning?

Data lake is a centralised repository which stores enormous amounts of structured, semi-structured, and unstructured data in its native format. It is typically used for Master Data Management – MDM cleans and enriches data, ensuring that the data is accurate, complete, and consistent before it is loaded into the data lake. This is then used… Read More »What is Data Lake?

A conceptual representation of data objects, relationships, and rules within a domain. It defines the structure, semantics, and constraints of data elements to facilitate understanding, communication, and implementation of data systems. Data models can be graphical or textual, illustrating entities, attributes, and their interconnections using diagrams or formal languages like Entity-Relationship (ER) or Unified Modelling… Read More »What is Data Model?

The process of transferring data from one system, storage location, or format to another. The process involves extracting, transforming, and loading (ETL) data while preserving its integrity and usability. Data migration may be necessary to ensure seamless transition and minimal disruption to operations during system upgrades, consolidations, or migrations to a new platform. It includes… Read More »What is Data Migration?

An architectural paradigm for organising data infrastructure within organisations. It decentralises data ownership and governance by treating data as a product, managed by cross-functional teams. Instead of relying on centralised data platforms, data mesh advocates for distributed data domains, each managed by domain-oriented teams. These teams are responsible for the end-to-end lifecycle of their data… Read More »What is Data Mesh?

The processes, policies and technologies used to acquire, store, organise, secure, and maintain data throughout its lifecycle. It involves activities like data collection, storage optimisation, data governance, data quality assurance, and data lifecycle management. Good data management ensures that data is accurate, consistent, secure, and accessible to authorised users when needed. It aims to maximise… Read More »What is Data Management?

The process of combining data from diverse sources or formats to provide a unified view for analysis, reporting, and decision-making purposes. It involves transforming and harmonising data from disparate systems, databases, or applications into a coherent and consistent format. Data integration enables organisations to break down data silos, reduce data redundancy, and ensure its accuracy… Read More »What is Data Integration?

A modern approach to eCommerce enabling businesses to select and integrate various best-of-class software components or services. Composable commerce is based on the principle of modularity, so companies can create a customized eCommerce architecture for their specific needs. This approach leverages microservices, APIs, and cloud-based infrastructures (see MACH architecture) to ensure flexibility, scalability, and independence… Read More »What is Composable commerce?

Bluemeteor is a company known for providing advanced data analytics and digital transformation solutions. The company specialises in harnessing big data technologies to deliver insights and drive business intelligence for clients across various industries. Bluemeteor’s product information management services typically include onboarding, syndication, analytics, and digital asset management. Its customised software development is aimed at… Read More »What is Bluemeteor?

Large and complex datasets which are difficult to manage and analyse using traditional data processing applications. It encompasses a vast volume of structured, semi-structured, and unstructured data generated from various sources, including business transactions, social media, sensors, and multimedia. Key features of big data are volume, velocity, and variety. Organisations typically leverage big data analytics… Read More »What is Big Data?

This is a key part of data quality enhancement and involves identifying and rectifying issues such as missing values, duplicate entries, and formatting errors to enhance data accuracy and reliability. Data cleansing several steps, such as data auditing, workflow specification, data cleaning, data validation, and data verification. It ensures data is not only error-free, but… Read More »What is Data cleansing?

Data cleaning is a part of the data cleansing process. It is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. When combining multiple data sources, data can easily be duplicated or mislabelled. If data is incorrect, outcomes and algorithms are unreliable, even though they may look… Read More »What is Data cleaning?

The design and structure of an organisation’s data assets, including databases, data warehouses, and data lakes. It covers the planning, modelling, and implementation of data systems to ensure efficient storage, retrieval, and analysis of information. Data architecture defines how data flows around an organisation, detailing data sources, formats, relationships, and processing logic. It aims to… Read More »What is Data Architecture?

Akeneo is a Product Information Management (PIM) system designed to help businesses manage and improve their product information.

A framework which outlines the policies, procedures, and responsibilities for managing and guaranteeing the quality, security, and availability of a given organisation’s data assets. It involves establishing standards, guidelines, and processes for data collection, storage, usage, and distribution to ensure compliance with regulations and best practices. A data governance framework aims to promote data transparency,… Read More »What is Data Governance?

Normally measured with six metrics (accuracy, completeness, consistency, timeliness, usefulness, and reliability of data) data quality measures the overall fitness of data for its intended use, reflecting its ability to meet the requirements and expectations of stakeholders. A high data quality standard means users can be sure that information is reliable and trustworthy, enabling effective… Read More »What is Data Quality?