Data profiling is the process of examining, analysing, and summarising data to understand its structure, quality, and content. It helps identify patterns, anomalies, missing values, and inconsistencies within a dataset. This information is often used to improve data quality and ensure that data is suitable for its intended purpose.
A Data Quality Framework is a structured approach used to measure, monitor and improve the quality of data within an organisation. It defines clear rules, standards and processes to ensure data is accurate, complete, consistent, timely and relevant for its intended use. By following a data quality framework, organisations can identify data issues early and…
Performance metrics design is the process of deciding which measurements best reflect how well a system, process, or team is achieving its goals. It involves choosing clear, relevant indicators that can be tracked and analysed over time. Good metric design helps organisations understand progress, identify areas for improvement, and make informed decisions.
Pareto Analysis is a simple decision-making tool that helps identify the most important factors in a set of problems or causes. It is based on the idea that a small number of causes are often responsible for most of the effects. By focusing on these key causes, you can make the biggest impact with the…
Decision modelling is the process of creating a structured approach to making choices, often using diagrams, charts, or mathematical models. It helps people or organisations weigh different options and predict the possible outcomes of their decisions. By using decision models, complex choices can be broken down into simpler steps, making it easier to compare alternatives…
Data mapping is the process of matching data fields from one source to corresponding fields in another destination. It helps to organise and transform data so that it can be properly understood and used by different systems. This process is essential when integrating databases, moving data between applications, or converting information into a new format.
Diversity analytics refers to the use of data and analysis to measure and understand the range of differences within a group, such as a workplace or community. This includes tracking metrics related to gender, ethnicity, age, disability, and other characteristics. The goal is to provide clear insights that help organisations create fairer and more inclusive…
Test coverage metrics are measurements that show how much of your software’s code is tested by automated tests. They help teams understand if important parts of the code are being checked for errors. By looking at these metrics, teams can find parts of the code that might need more tests to reduce the risk of…
Call centre analytics involves collecting and examining data from customer interactions, agent performance, and operational processes within a call centre. The goal is to identify trends, measure effectiveness, and improve both customer satisfaction and business efficiency. This can include analysing call volumes, wait times, customer feedback, and the outcomes of calls to help managers make…
Upsell and cross-sell analytics refers to the use of data analysis to identify opportunities to encourage customers to buy more expensive items or additional products. By examining customer behaviour, purchase history, and preferences, businesses can suggest relevant upgrades or complementary products. This approach helps increase revenue while also improving the customer experience by offering items…