Insight

Founded in 2012, Salsify sells a cloud-native product experience management (PXM) platform targeted at companies of all sizes and industries. It is designed to help brands and retailers optimise their product content and syndication processes, offering features for managing product data, digital assets, and content across multiple touchpoints. The platform enables businesses to create rich,… Read More »What is Salsify?

A company founded in 2013, selling a cloud-based product information management (PIM) platform. It offers solutions for centralising and managing product data across various channels and aims to streamline data management processes, ensuring consistency and accuracy in product information. The platform provides features for organising, enriching, and syndicating product data, and is targeted at businesses… Read More »What is Sales Layer?

A unique version or variation of a base product, which differs in one or more attributes, such as size, colour, or model. Variants share the same core product characteristics but offer specific options or configurations to meet varying customer preferences. They are often managed within the same product family or category, so customers can easily… Read More »What is Product Variants?

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?

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 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?

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?

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

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?

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?

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?

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?

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?

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?

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?

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?

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?