Data Automation solution
for ecommerce Industry
Data automation solution for Ecommerce industry– Overview
Data automation is the process of handling, processing, and uploading data using automated tools as compared to doing this manually.
Three components are involved: This also called ETL).
- Extract
- Transform
- Load
Automation makes it easier to integrate data from many data sources into a single one.
Data sourcing may be made more efficient while also saving time and money if it is automated. To minimise errors, it also makes sure that the loaded data is structured and makes use of data validation.
Getting important business insights from your data is essential if you want the company to move in the right direction. Business users may focus on data analysis rather than data preparation thanks to automation in data analytics.
For Enterprises, data automation offers great advantages. It is a wonderful alternative for corporations because it boosts productivity while cutting costs. The workforce benefits from automation as well because it frees them up to concentrate on stimulating and engaging tasks rather than dull ones.
Consistency is guaranteed via automatic data management. For businesses, maintaining work quality is essential, which manual processes may compromise.
The lack of a proper automation strategy can result in time and resource wastage for your company. Data Automation Stratege
Classify data
Outline Transformations
Develop and Test the ETL Process
Schedule Data for Updates
How we developed Data automation solution for Ecommerce firms?
Solution Overview:
To automate download of scope files from a website and do ETL process. Store the tuned data in Redshift and visualize the data in the decision-making format.
S3 used to store all formats of data and later move to Redshift for analysis
AWS Glue studio used to accumulate all data under a commonly readable format.
Redshift’s fact and dimension helped to form a dynamic dataset which is the base for Quick Sight’s infographic
File downloads are automated, periodically using Power Automate
Technology
Market size: Data Automation
The global data warehousing market size was valued at $21.18 billion in 2019, and is projected to reach $51.18 billion by 2028, growing at a CAGR of 10.7% from 2020 to 2028.
