Leverage our data engineering solutions to enhance your analytics and data science capabilities to drive enterprise initiatives
As an integral aspect of data science, data engineering is the process of designing and building pipelines to transform and transport data into a format that is easy to use for data scientists or other end users. Data engineering is the enabler of all those technologies that require a lot of data to run their algorithms. It also provides data transmission speed and improves forecasting.
As a well-known analytics firm in the UK, SG Analytics’ primary goal is to enable its clients to make real-time decisions and predict future events accurately by harnessing big data. Leverage SG Analytics’ data engineering services to operate on all types of data, and build brand new pipelines.
SG Analytics helps its clients in the UK in transforming existing processes into automated pipelines and building fresh pipelines based on business needs. These automated pipelines range from simple file transfer to complex data processing and modelling, leveraging different types of tools and technologies.
SG Analytics is adept in developing server-less data processes with the use of cloud-based products. These pipelines are custom-made on the basis of different types of business use cases and the web services deployed.
Data processes are created in ‘Dockers’ in order to assist customers in deploying the processes easily into the clients’ production environment. This is helpful for the customers in the duplication and deployment of the process on multiple systems with relative ease.
SG Analytics conducts several purpose-driven sessions with clients to get to the bottom of their business requirements in order to design the production and development servers. SGA also assists in training and deploying new processes.
In order to help our clients, multiple processes with simple input values, web server and on-premises server-based APIs are deployed. These can range from a simple data extraction from a data lake to multiple data transformations or image/voice analysis on the inputs provided.
SG Analytics’ data science solutions help its customers in mining meaningful information from various sources of text data such as online reviews, emails, tweets, notes from feedback forums, survey results, etc. Leverage our data science solutions to extract valuable insights that help you understand your customers: what they think and feel about your products and services.
Why SGA
Creating a strong foundation of data with commercial grade solutions for large scale data processing
Using fast cluster computing technologies to monetise and maximise value data assets
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We bring you a team of experienced data analytics experts with best-in-class expertise in data management, engineering and visualisation.
