Our Services-Analysts

Data Modelling Analysts

Data modelling is crucial in organising and structuring data, ensuring its accuracy, consistency, and usability. It provides a clear blueprint that defines the structure, relationships, and attributes of data, enabling businesses to make informed decisions, drive growth, and gain a competitive edge.

Our team combines expertise in virtual business intelligence (BI) and advanced data modelling techniques to create comprehensive data models and extract valuable insights for our clients.

What is Data Modelling?

Our team combines expertise in virtual business intelligence (BI) and advanced data modelling techniques to create comprehensive data models and extract valuable insights for our clients.

What Is the Relationship Between Data Modelling Analysis?

Data modelling and data analysis, although different, are complementary processes, with data modelling providing the foundation for effective data analysis. Data analysis is the process of inspecting and interpreting data. It involves using various techniques, statistical methods, and algorithms to uncover patterns, relationships, and trends within the data in order to make more informed business decisions.

On the other hand, data modelling provides the necessary framework for data analysis to take place. By designing a logical structure and defining relationships between data entities, data modelling ensures that the data is organised in a meaningful and coherent manner. This structure allows analysts to navigate and explore the data more efficiently, making data analysis more effective.

As experienced business data analysts, our team combines their expertise in various data analysis methods, data mining, and data modelling techniques to uncover valuable insights and develop comprehensive data models for various industries. Doing so allows us to work closely with clients, understand their unique business challenges, and provide tailored solutions that maximise their operational efficiency.

Advantages of Data Modelling for Business

A data model is a blueprint for which a business operates upon, enabling you to make more informed decisions based on key facts rather than intuition and guesswork. The following are a few key benefits to consider when looking into a data model for your business.

1. Structure and Organisation

Data modelling provides a structured framework for organising and managing data. It helps identify entities (such as customers, products, or orders) and their relationships, allowing for a clear understanding of how different pieces of data relate to each other.

2. System Integration

Data modelling facilitates the integration of new data sources and applications with existing information systems. It involves understanding the structure and relationships of data and finding ways of connecting the new data sources with the old ones. By doing this, organisations can ensure that data flows smoothly between different systems, ultimately enabling better data analysis and interoperability.

3. Greater Business Understanding

Data models provide a comprehensive visual depiction of the way a business operates. By creating a visual representation of the business processes and data flows, data models offer a holistic view of how the organisation functions as a whole. This view enables organisations to identify areas of improvement, optimise workflows, and make more informed decisions.

4. Improved Decision-Making

Data modelling helps businesses make informed decisions by producing a clear depiction of their data. It provides a clear representation of data relationships, enabling organisations to analyse trends, identify patterns, and extract valuable insights from their data that can inform strategic planning, resource allocation and process improvements.

5. Efficient Database Development

Data modelling serves as a blueprint for system development, including database design and application development. It provides a structured approach to building databases, ensuring that data is organised in a logical and optimised manner. This streamlines the development process, reduces errors, and improves overall system efficiency.

6. Better Quality Data

Data modelling improves the quality of data by ensuring data accuracy by reducing incorrect or incomplete data entries. Data models identify duplicate or redundant data, enabling businesses to streamline and consolidate their data. This leads to more accurate insights, improved decision making and increased operational efficiency.

Our Data Modelling Tools

At Virtual BI, we leverage the strengths of Power BI to develop comprehensive data models tailored to the nature of your business and the industry it operates within. Explore below our range of data modelling tools to see how we can help increase efficiencies and enhance internal operations within your business.

Warehouse/Inventory

Our Warehouse/Inventory Data model depicts the flow of goods, tracks inventory movements, and enables efficient storage, live tracking, and reporting of inventory-related information.

Production/Manufacturing

Our Production/Manufacturing Model organises and analysis data associated with all processes within the production and manufacturing stage of a business. This model also encapsulates data relating to sales, inventory, and other relevant important financial information.

Supply

Our Supply Chain Model integrates data from various sources, such as procurement, inventory, logistics, sales and more. The ultimate goal of this model is to gain a greater understanding of the supply chain process in order to enhance its operational efficiencies.

Sales/CRM

Our Sales/CRM Model encompasses data that represents sales and customer information within an organisation. It allows organisations to analyse KPI’s, sales trends, customer interactions, behaviour and more, allowing the business to make more informed decisions regarding their sales processes and customers.

Accounting

Our Accounting Data Model structures all financial data in a clear and concise way. It organises financial data from various sources, including transactional data, revenue, expenses, profit margins, cash flow and more, in an easily understandable format. This enables organisations to make proactive decisions based on quantitative data.

How We Can Help

Leveraging our experience with Power BI and expertise in the field of data management, modelling, and analysing, we develop comprehensive data models tailored to various processes within organisations of various industries.

Working in collaboration with you from the very beginning, our team will ensure the developed data models align with your specific business needs and industry requirements. We will tailor the data models to effectively capture and analyse relevant data, providing you with actionable insights and a solid foundation for making informed decisions. This will contribute to achieving better organisational outcomes, including increased operational efficiency, improved customer satisfaction, and greater business outputs.

Contact the experts today to see how we can help your business thrive.

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