Customer Data Integration, or CDI, is the process of bringing together customer information from different sources into a single, unified view. This often involves combining data from sales, support, marketing, and other business systems to ensure that all customer details are consistent and up to date. The goal is to give organisations a clearer understanding…
Category: Data Governance
Master Data Integration
Master Data Integration is the process of combining and managing key business data from different systems across an organisation. It ensures that core information like customer details, product data, or supplier records is consistent, accurate, and accessible wherever it is needed. This approach helps avoid duplicate records, reduces errors, and supports better decision-making by providing…
Data Harmonization
Data harmonisation is the process of bringing together data from different sources and making it consistent so that it can be compared, analysed, or used together. This often involves standardising formats, naming conventions, and units of measurement to remove differences and errors. By harmonising data, organisations can combine information from various places and get a…
Data Standardization
Data standardisation is the process of converting data into a common format so that it can be easily understood, compared, and used together. It involves making sure that data collected from different sources follows the same rules and structure. This helps prevent confusion and mistakes when analysing or sharing information.
Data Federation
Data federation is a technique that allows information from multiple, separate data sources to be accessed and queried as if they were a single database. Instead of moving or copying data into one place, data federation creates a virtual layer that connects to each source in real time. This approach helps organisations bring together data…
Data Synchronization
Data synchronisation is the process of ensuring that information stored in different places remains consistent and up to date. When data changes in one location, synchronisation makes sure the same change is reflected everywhere else it is stored. This is important for preventing mistakes and keeping information accurate across devices or systems.
Analytics Governance
Analytics governance is the set of processes and rules that ensure data used for analysis is accurate, secure, and used responsibly. It involves defining who can access data, how it is collected, shared, and reported, and making sure these actions follow legal and ethical standards. Good analytics governance helps organisations trust their data and make…
Reporting Framework Design
Reporting framework design is the process of creating a structured approach for collecting, organising and presenting information in reports. It involves deciding what data is important, how it should be grouped, and the best ways to display it for users. A well-designed framework ensures that reports are consistent, easy to understand, and meet the needs…
Data Literacy Training
Data literacy training teaches people how to read, understand, and use data effectively. It covers skills such as interpreting graphs, spotting trends, and making decisions based on data. This training helps individuals become more confident in working with numbers, charts, and reports in their daily tasks.
Data Monetization Strategy
A data monetisation strategy is a plan that helps organisations generate income or value from the data they collect and manage. It outlines ways to use data to create new products, improve services, or sell insights to other businesses. A good strategy ensures that the data is used legally, ethically, and efficiently to benefit the…