Glossary

A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

A

administrator
(user type, customer role) A technical specialist who configures a software system.

attribute
(concept) A data field which describes a product, can also use ‘property’.

attribution class
(class type) A class that adds specific attributes to the product it is assigned to. For example, a ‘Mobile Phone’ class may add attributes for Screen Size, Memory Size, Operating System, etc.

B

bookmark

(feature) A self-updating bookmark that saves the results of a search.

  • Example:

    A retailer creates a bookmark named “fully automated” to group only the fully automated washing machines. Whenever a fully automated washing machine is added to the system, it is automatically added to the bookmark.

Boolean property

(property type) A Boolean property allows selecting between two options.

  • Example:

    Contains nuts: Yes/No

C

calculated property

(property type) A property which shows the result of a calculation of 2 or more numbers.

  • Example:

    Volume

classes

(concept), Classes define base configurations for products. Each class that is given to a product allows that product to have a more precise definition. There are multiple levels of classes that can be used in conjunction.

  • Example:

    Product, Single Article

collection

(feature) A fixed collection of objects relevant to the user.

  • Example:

    A collection that consists of high-end smartphones

concatenated property

(property type) A combination of multiple text-based properties.

  • Example:

    A Dimension Concatenated Property would combine the properties for Length, Width and Height into ‘10cm x 20cm x 2cm’.

D

data governance
(concept) Data governance is an approach to managing a company’s data assets. It defines who is accountable for various aspects of an organization’s data as well as including procedures which define how the data is used, structured and stored. This includes data quality rules and KPIs through the Dashboard.

data model

(configuration) Data model defines the base data structure for products in your system. This structure enables you to connect predefined classes or taxonomies with your products to classify them. The data model defines products from the highest level of classification, down to individual attributes and properties.

  • Example:

    A data model is made up of blueprints of different types of database objects like types of products. You can use the data model to create a new product class in this case.

data steward
(user type, customer role) A data steward is a role within an organization responsible for utilizing an organization’s data governance processes to ensure suitability of both content and metadata.

Digital Asset Management (DAM)
(domain type, tabbed heading) Digital Asset Management (DAM) offers a solution for enterprises to store, organize, find and retrieve digital files. Digital files in the DAM are linked to the PIM through relationships.

E

endpoint
(concept) Gateway that describes the system, processes and mapping to be used when onboarding or offboarding the products to and from the system.

F

fixed bundle

(product type) A group of products where the quantity of each product is fixed.

  • Example:

    A Shaving Kit Pack which includes 3 blades and a shaving cream. As these are in the same packaging, the customer cannot add more blades for that item.

G

Golden Record
(concept) A Golden Record is a single, well-defined version of the data entity in an organization. There may be multiple sources/suppliers for a single product. Golden record feature allows you to combine and consolidate all matching products (duplicate products) in one single record. With the golden record, you always have exact and consistent, product data available. Golden Record uses matching and merging rules to consolidate the product details.

H

No glossary entries found.

I

inbound endpoint
(concept) A gateway through which a file is imported into the system.

J

No glossary entries found.

K

No glossary entries found.

L

linked variant

(product type) A variant which belongs to a Product.

  • Example:

    Regular, Sugarfree and Zero are some of the linked variants of energy drink “Red Bull”.

loose bundle

(property type) A group of products where the quantity of each product can be defined by the retailer.

  • Example:

    Water Bottle Pack. Buy 10 or more for 15% off. Each item over 10 still receives the discount.

M

mapping
(process type) connects different elements (attributes, tags, classes, and taxonomies) defined in an onboarding file to their respective elements (attributes, tags, classes, and taxonomies) defined in the system.

Marketing Content Management (MCM)
(domain type) Platform that supports promotions, campaigns, target markets, target channels, and customers.

Master Data Management (MDM)

(domain type) Master Data Management (MDM) is a system which wraps around the PIM ensuring quality, integrity and usability of its data.

  • Example:

    The functionality of an MDM supports aspects such as workflow rules, data quality, catalogue management, user security and data distribution.

match
(process type) Matching is a process of identifying duplicate records for all products. It compares the products based on defined attributes, tags, taxonomies, and classes and identifies duplicate records of a product.

measurement property

(property type) A measurement property uses a predefined measurement standard.

  • Example:

    Length: 10 metres

merge
(process type) Once the duplicate records are identified, they need to be merged to create the Golden Record. This record will be the best possible data representing current, complete and accurate view of customer information. Merging process determines what data elements and their values from duplicated data needs to be considered to create the Golden Record.

N

nature class
(class type) A class that defines the base type of product. This product type is specific to how the product should behave in the Contentserv software. Nature Classes could include Single Article, Product, Bundle or other custom-made product types.

O

offboarding
(process type) A process that allows the user to export product data from Contentserv. The data can be downloaded as a file that can be pushed out to channels such as ecommerce.

onboarding
(process type) A process of transferring product data from a partner’s system to the main PIM. The product details are put together in a file and then uploaded into the retailer’s PIM system. The PIM will fetch the details of the file and validate it with the MDM.

outbound endpoint
(concept) A gateway through which a file is exported from the system.

P

Partner Engagement Platform (PEP)

(domain type) A portal which allows a Contentserv customer’s partners to engage with their system. Deployed for supplier engagement, collaboration, product onboarding, simple PIM and product data onboarding and offboarding.

  • Example:

    A supplier who uploads new products or a digital marketing agency which uploads promotional images

product
(concept) A placeholder for a group of common products.

Product Information Management (PIM)
(domain type, tabbed heading) Product Information Management (PIM) facilitates the central management and maintenance of an enterprise’s product data, content or any related information.

Product Identifier (PID)

(product data) A Product Identifier (referred to as PID) is a number that helps identify a product.

  • Example:

    Red Bull

promotional collection

(product type) A group of products which are offered at a discounted price.

  • Example:

    Buy 3 bags of dog food for the price of 2.

property

(class within data model) A property is a field used to describe a product. It comes in several different types.

  • Example:

    Name of Product, Price, Description

property collection

(property group) A reusable group of properties which is common to particular types of products. A property collection belongs to a tab and a class.

  • Example:

    Mobile phone (class) technical specifications information would be a collection of RAM, storage, and display size.

Q

No glossary entries found.

R

relationships

(configuration) A way of linking entities together from different domains (e.g. PIM, MDM, DAM) as well as within the same domain.

  • Example:

    Products + supplier + image + target

role
(concept) Defines the permissions of a user in the system. An organization can have several roles such as an Administrator or a General User. The roles vary between organizations but can be created to match the roles in your company.

rollback
(feature) Rollback is a feature that enables the user to switch back to a desired version of a product.

S

system profile
(concept) Profile created for an organization to contain only its selected endpoints and can be further customized for the roles of the organization.

T

tabs

(property group) Tabs are used to categorize the properties shown on a product’s page.

  • Example:

    A tab includes one or more property collections.

tags

(concept) Properties that describe the products.

  • Example:

    Bottle size, Color

taxonomy

(property group) A taxonomy is a way of classifying an organization’s products. A taxonomy is used to add a Product into the broader classification system of a store.

  • Example:

    A taxonomy can be thought of categorization of an organization’s products. A clothing store may set up a taxonomy which categorizes for gender > season > bodypart in a tree format.

U

user
(user type, customer role) Someone who logs into the Contentserv system.

V

No glossary entries found.

W

workflows

(property group) A sequence of processes that a piece of work progresses through until completion. In Contentserv, the piece of work is normally a product. The status of the product is also managed through the workflow such as Active, Published, and Inactive.

  • Example:

    A Data Steward adds a new product through the Onboarding Portal. Before the product is published in the PIM it undergoes a sequence of processes including data validation and enrichment.

X

No glossary entries found.

Y

No glossary entries found.

Z

No glossary entries found.


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