Glossary

Data Transformation

A
Agile Development AIOps Analytics Platform API Integration API Management Application Modernization Artificial Intelligence Augmented Reality
B
Banking as a Platform Banking as a Service Big Data Business Analytics
C
Claim Automation Claims Management Clinical Research Clinical Software Cloud Advisory Cloud Deployment Cloud Infrastructure Cloud Migration Cloud Native Development Cloud Security Cloud Strategy Cloud-native Security Core Banking Corporate Banking Customer Data Platform (CDP) Customer Experience Customer Experience Journey Customer Experience Strategy Customer Intelligence CX Strategy Cyber Resilience Cybersecurity
D
Data Analytics Data Center Modernization Data Integration Data Lake Data Security Data Transformation Denial Management DevSecOps Digital Banking Digital Commerce Digital Engineering Digital Experience Platform Digital Front Door Digital Health Platform Digital Insurance Digital Lab Digital Mosaic Digital Payments Digital Platform Digital Transformation Digital Wealth Management
E
Edge Computing Enterprise Integration Enterprise Security Experience Transformation
H
Healthcare Payor Healthcare Technology
I
Identity Access Management Intelligent Automation
L
Legacy Application Modernization Life Sciences Technology Loan Origination
M
Machine Learning Medical Devices Microservices Mobile Edge Cloud Monetizing 5G
N
Network API Network Assurance Network Performance Network Transformation No-code/ Low code Application Development
P
Process Mining and Process Excellence Product Engineering Product Sustenance Public Cloud
R
Ransomware Retail Banking
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Software Application Development Software Development Software Engineering Software Modernization Software Product Development Software Product Modernization

What is Data Transformation?

Data is the foundation of every industry. When raw data is transformed from different sources, then data converts into the form where it can be utilized. When processing data for analytics, the transformation process is critical.

Businesses that employ on-premise data warehouses use the ETL approach (extract, transform, load). In this process, data transformation occurs in the middle. Businesses that use cloud data warehouses, on the other hand, use the ELT method.

Data transformation is required for making sense of and utilizing data from several sources.

What are the business benefits of Data Transformation?

  • Data Transformation makes the data easier to process and makes it more useful for drawing business insights.

  • Data Transformation helps in improving data quality and eliminates risks associated with using bad data.

  • Data Transformation empowers business decision-making and makes enterprises more agile and competitive.

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