Data Transformation

Data transformation is the process of converting data from one format, structure, or value set to another to make it suitable for analysis, integration, or operational use. This involves steps such as data cleaning, normalization, aggregation, and enrichment to ensure consistency and compatibility with target systems. Data transformation is essential in data integration workflows, enabling organizations to combine data from diverse sources, enhance data quality, and derive meaningful insights. By transforming data, businesses can optimize their data for various applications, improve decision-making, and support advanced analytics.

Resources

Virtual Content Platform

Product Overview

Every company faces constant challenges with managing the information that its employees generate. Learn how Wrapsody presents typical use cases that other solutions don’t address.
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Implement context-based discovery,
Content Management for AI

Solution

AI should no longer be overlooked. It is time to develop strategies and utilize AI technologies to drive insights, innovation, and decision-making while addressing privacy and security concerns.
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All-in-One Zero Trust Collaboration Platform

Product Overview

Use a single platform to securely share files, chat, and video conference with collaborators. Start a secure external collaboration with Wrapsody eCo.
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