Data Engineering is the process of designing and building systems that retrieve, store and analyze vast amounts of data. It involves creation of back-end elements that facilitate the flow and conversion of data from one point and format to another point and format respectively. This helps businesses in collecting large quantities of data and systematically filtering it to understand the market.
A system to collect, store and process data is a must-have for any business in the Digital Age. Owning a Data Architecture allows businesses to automatically collect data from various sources and through complex calculations get valuable insights to help grow their business.
Once the data is collected, the business can extract and combine it with other data to learn about the consumers, its products, the market and more.
Next, when you make business decisions, they will be backed by findings of data analysis which will help in making educated decisions and more aligned with the market.
EXAMPLE USE CASES
What is it about?
We transforms data into a useful format for analysis, access to the latest technologies, and provide data-based solutions.
Retail
The vast amounts of data generated by consumers both online (e-commerce) and offline (retail outlets) is of great importance since it offers valuable insights into the consumer preferences. The Retail Industry has been using this to great advantage.
Banking
Financial institutions have been able to leverage Data powered insights into decreasing customer churn and increase customer turnover. Now banks are able to develop products that are more tailored to their customers hence giving way to more sales.
Manufacturing
The primary industries have to rely immensely on data to know what to produce and how much since they power all the goods to follow. It is important for them to rapidly adapt to changes in consumer preference and accordingly increase or decrease manufacturing.
