Portfolio

Personalised Billing Reports with Google spreadsheets

Many companies face difficulties in managing their billing and invoicing processes manually. This project offers a solution by providing a template that automates these tasks. The user simply needs to update the weekly or monthly data, and the template takes care of the rest. This automation not only saves time and effort but also enhances efficiency by eliminating the need for manual calculations and data entry. By streamlining the billing and invoicing process, companies can now focus their resources on more important aspects of their business. This project aims to simplify and optimise the billing process, ensuring accuracy and timely invoicing, thereby benefiting both the company and its clients.

This is just one example of the many Reports that we can create for you completely personalised to a business needs.

Using SQL

SQL (Structured Query Language) is crucial for data analysis due to its ability to efficiently manage and manipulate large amounts of data. It provides a standardized and powerful way to retrieve and extract specific data from databases. SQL enables users to perform complex queries, combining multiple conditions and sorting data based on various criteria.

In this project, SQL was utilised to retrieve and consolidate relevant data from various sources. This is a programming language specifically designed for managing and manipulating relational databases. By utilising SQL, the project team was able to efficiently extract the required data from multiple sources, ensuring accuracy and consistency in the information gathered. The use of SQL allowed for effective data retrieval, enabling the project to progress smoothly and achieve its objectives.

Personalised Queries with Google spreadsheets

The query function in Google Spreadsheet offers numerous benefits for users. Firstly, it allows users to retrieve specific data from a large dataset with ease. By specifying the criteria, such as selecting particular columns or rows, users can filter and sort the data according to their needs. This saves time and effort compared to manually sifting through the entire dataset. Additionally, the query function enables users to perform complex calculations and transformations on the data, providing valuable insights. Users can aggregate, summarize, and analyze the data by applying various functions within the query. Moreover, the query function ensures that the data is always up-to-date, as it automatically updates whenever changes are made to the source data. Overall, the query function in Google Spreadsheet enhances efficiency, facilitates data analysis, and simplifies data management.