Terms we use (and just assume you know…)

30 September 2021

So, you’ve come across EngageRM but have no idea what ‘CRM’ stands for, never heard of a ‘use case’, or still haven’t quite wrapped your head around the difference between first party, third party or behavioral data? Then you’ve come to the right place.

Here are some of the key terms we use on the daily to help you get up to speed.

 

CRM (Customer Relationship Management)

The foundation system on which any database is built. It allows for recording of information and allows for processes to be implemented manually or automatically to engage with customers, members and fans.

AI (Artificial Intelligence)

The term given to the process whereby technology can “predict” what should happen with certain information in a system. The intelligence is based on algorithms developed by programmers and so is not artificial, but rather a series of processes that have been put in place to consider different factors and lead to a specific action, process, or outcome.

ML (Machine Learning)

An area of artificial intelligence and refers to machines and systems automatically learning new behaviors and processes from experience without needing to be specifically programmed for them. This allows for technology to become “smarter” over a period of time.

PVA (Power Virtual Agents)

Sometimes referred to as “bots”. Power Virtual Agents are chat services which can be utilized within the sales and service areas to transfer information from a website visitor through a CRM or other technology. Artificial intelligence is now making these bots far more “user friendly” and these are likely to become more popular and powerful over time.

Integration

The ability of one piece of technology to talk to another piece of technology. Integrations have various levels of sophistication. Some integrations rely simply on a CSV or Excel file being imported and data being transferred manually. A full integration would include seamless integration where data is transferred both ways between different technology applications in real time so that it appears seamless for the user.

Microsoft Power Platform

This platform includes PowerBI, power automate, Power Apps and power virtual agents. It is a platform that allows users to create and deploy tailored applications that be can be used on desktop and mobile devices to automate processes simply and easily. Developers and non-developers can create apps within the power platform as it works in a no code environment. This can be used to generate automated reporting and workflows saving time, money and frustration.

Data Warehouse

Where data and information can be stored for use by other applications.

Dataverse

A common data service allows you to securely store and manage data that’s used by applications. The data is stored with an entity being a set of records similar to how a table stores data within a database.

CDP (Customer Data Platform)

A repository for all types of data including structured, unstructured, and raw. This allows all types of data and information to be located in a central area for use by various apps. It is different to a data warehouse because they will only store structured and processed data. A CDP will allow access from various points to the data instead of the more structured top-down approach of a data warehouse.

First Party Data

This data is all information and data where there is an absolute value known. Examples would be first name, last name, email address, phone number, street address and so on.

Third Party Data

This is “loose data or information” that does not directly identify a specific person. Examples of third-party data are IP addresses, credit card numbers and other such information that are gathered from various portals and locations. Third Party Data is valuable when it is matched to First Party Data and helps to build out an individual contact record so that marketers have access to more detailed information about a particular person.

Portal

A website where users can log in and access information that is linked to a CRM or other application. It will allow them to transact, to leave information and take specific actions. Examples of portals include corporate portals where partners can log in to buy sponsorship or hospitality packages, book and send tickets, or a community portal where participants can register for school camps or other such activities.

Behavioural Data

Typically gathered by specialized companies that scrape information from the internet and other publicly available sources to build individual profiles of people and populations. This data can then be imported into a CRM and layered over contact records in order to generate insights about the kind of behaviours that these people are likely to undertake.

Use Case

The set of actions a person is likely to take to achieve a specific outcome. For example, a use case in ticketing would be the purchase of a season ticket by a prospect. Typically, this would go through several stages from initial engagement through to consideration, evaluation, and purchase. Development of use cases is important so that the most valuable processes within a business can be identified and software configured to deal with these situations.

Front End and Back End

The front end describes all the parts of a website that can be seen and interacted with by users – what you see on a browser like Chrome or Safari. The back end is the environment in which information is processed and stored, such as a CRM, CDP, or other storage area or platform. The front end is the way in which users interact with a piece of technology, while the back end is the processing system by which a vendor will provide information to the front end.

Azure

A public cloud computing platform that has solutions including Infrastructure as a Service (IaaS), Platform as a Surface (PaaS) and software as a service (SaaS) that can be used for services such as analytics, virtual computing, storage networking and much more.

 

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