Services
As a Data Consultancy with highly experienced leaders, we offer a comprehensive range of services to cater for all core Data requirements. This will allow any company to become truly data-driven and empower them to become infinitely more competitive against their competitors within their industry.
Data Strategy
A Data Strategy serves as a blueprint for how a company manages, analyses, and acts upon its Business Data. It encompasses tools, processes, and rules related to Data Governance, security, and interpretation. Implementing a precise Data Strategy can enhance revenue and helps to ensure informed decision-making.
Data Governance
Data Governance refers to the set of roles, processes, policies, and tools that ensure proper Data Quality throughout the data lifecycle and appropriate data usage across an organisation. It allows users to more easily find, prepare, use, and share trusted datasets without relying solely on IT. In essence, Data Governance ensures that data is trustworthy, consistent, and protected from misuse or mishandling.
Data Management
Data Management is the practice of collecting, organising, protecting, and storing an organisation’s data. It ensures that data is reliable, consistent, and accessible for analysis and decision-making. As organisations generate and consume data at unprecedented rates, effective Data Management solutions become essential for making sense of vast quantities of information.
Data Cataloguing
Data Cataloguing is the process of creating an organised inventory of enterprise data. It involves collecting, tagging, and storing datasets using metadata—information that describes or summarises data. A Data Catalogue serves as a guidebook to your data, making it easier for data teams and business users to find and access relevant data points in one place. By streamlining Data Management, Data Governance, and utilisation, Data Cataloging ensures that organisations can harness their data to its fullest potential.
Data Quality
Data Quality refers to how well data serves its intended purpose, including its accuracy, completeness, validity, consistency, uniqueness, timeliness, and fitness for the intended use. High-quality data empowers informed, data-driven decisions and improves business outcomes
Data Protection/Privacy
Free Data Protection Review:
We can offer a free (no obligation) Data Protection review to anyone interested. This review will consist of a short online meeting with nominated stakeholders where questions will be asked relating to personal data processing. The feedback from the conversation will then be documented in a report which summarises the feedback and lists recommendations to address any identified risks. These useful insights can then be used to plan further mitigating activities which will assist with data protection compliance.
For more information, please see the Data Protection page from the menu at the top of the website.
Data Lineage
It involves identifying the origin of data, recording its transformations, and visualising its journey from data sources to end-users. Key aspects of Data Lineage include:
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Source Identification: Determining where data comes from (e.g., databases, APIs, files).
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Transformation Tracking: Recording how data changes as it moves through pipelines (e.g., ETL or ELT processes).
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Destination Mapping: Visualising where data is ultimately stored and used.
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