How Data Engineering Services Can Help Your Business

Data engineering is a key function for all businesses in today's data-driven world. By leveraging the vast amounts of data they collect, SMBs can gain valuable insights which can help them make better decisions, improve their operations, and enhance their services to benefit their customers.

Some of the benefits to business of data engineering services include:

Improved decision-making: Your business can make more informed decisions with access to clean, accurate, and up-to-date data. This data can be used to identify trends, track progress, and measure the effectiveness of all aspects of your business.

Increased efficiency: Data engineering services can help businesses like yours improve their efficiency by automating data processing tasks. This can free up time for employees to focus on other tasks, such as sales and customer service.

Reduced costs: Data engineering services can help SMBs reduce costs by identifying inefficiencies and waste, reducing duplicate information, and optimising business operations.

Improved customer service: Data engineering services can help SMBs improve their customer service by providing them with a better understanding of their customers, and tailoring products and services to meet their needs.

How Data Engineering Services Work

Typically, data engineering services comprise a series of steps. These steps can be carried out once, but they are often designed with code to be automated so that new data can quickly (and automatically) be processed and made available to business users:

Collection: Data engineers collect data from a variety of sources, such as customer relationship management (CRM) systems, point-of-sale (POS) systems, and social media platforms.

Cleaning: Data engineers clean the data to remove errors and inconsistencies. This process may involve removing duplicate data, correcting formatting errors, and resolving data conflicts.

Transformation: Data engineers transform the data to make it more useful for analysis. This process may involve aggregating data, calculating new metrics, and creating new data structures.

Storage: Data engineers store the data in a data warehouse or data lake. This makes the data accessible to business users and analysts for reporting and analysis using tools such as AWS Athena.

Analysis: Data engineers work with business users and analysts to develop data analysis reports and dashboards. These reports and dashboards can help businesses identify trends, make informed decisions, and improve their operations.

Learn how Data Engineering Services can help your business

Interested in finding out more? Get in touch with us today to discuss your data challenges and how our data engineering services can help deliver valuable insights and improvements to your business.