A model scalability strategy is a plan for how to grow or adapt a machine learning model to handle larger amounts of data, more users, or increased complexity. This involves choosing methods and tools that let the model work efficiently as demands increase. Without a good scalability strategy, a model might become too slow, inaccurate,…
A model versioning strategy is a method for tracking and managing different versions of machine learning models as they are developed, tested, and deployed. It helps teams keep organised records of changes, improvements, or fixes made to each model version. This approach prevents confusion, supports collaboration, and allows teams to revert to previous versions if…
A data migration strategy is a planned approach for moving data from one system, storage type, or format to another. It involves deciding what data to move, how to move it, and how to ensure its accuracy and security throughout the process. A good strategy helps avoid data loss, minimises downtime, and ensures that the…
A data virtualization strategy is a plan for accessing and integrating data from different sources without physically moving or copying it. It allows users to see and use data from multiple places as if it is in one location. This approach helps organisations make faster decisions and reduces the need for complex data transfers or…
Stream processing strategy is a method for handling data that arrives continuously, like sensor readings or online transactions. Instead of storing all the data first and analysing it later, stream processing analyses each piece of data as it comes in. This allows decisions and actions to be made almost instantly, which is important for systems…
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…
A Business Intelligence Strategy is a plan that guides how an organisation collects, analyses, and uses data to make informed decisions. It outlines the tools, processes, and people needed to turn raw information into useful insights. The strategy helps ensure that everyone in the business has access to accurate data when they need it, supporting…
An Analytics Center of Excellence (CoE) is a dedicated team or group within an organisation that focuses on promoting best practices, standards, and strategies for data analysis. Its goal is to help different departments use data more effectively by providing expertise, tools, and support. The CoE helps ensure analytics projects are aligned with the companynulls…
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…
Self-Service BI Implementation is the process of setting up business intelligence tools so that employees can access, analyse and visualise data on their own, without needing help from IT specialists. This involves choosing user-friendly software, connecting it to company data sources and training staff to use the tools effectively. The goal is to help staff…