Data Analysis

Streamline your data processing with Sthira's efficient workflow

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What is Data Analysis?

Data analytics refers to the process of collecting, exploring, and interpreting organizational data to generate actionable insights. Modern platforms incorporate natural language processing, automated insights, and embedded AI/ML to empower both technical and non‑technical users to analyze data without deep technical skills.

1

Create a Data Analysis Project

Define a profile and load sample XML documents for analysis.

2

Analyze Sample XML Documents

scans for unique structures. Repeated patterns are ignored for clarity. A Data Analysis model is built.

3

Create a Target Model

Define which parts of the data you want to retain.

4

Edit the Target Model

Choose relevant elements. Modify the structure visually or in a relational format.

5

Generate the Library

Sthira creates a set of transformation tools: Map, Schema, Validation stylesheet, Subflow.

6

Use at Runtime

These tools are now usable within Shaiva's integration flows to convert, validate, route incoming XML data efficiently.

Use Case

A logistics company receives XML manifests from shipping partners. They only need:

  • Package ID
  • Sender and Receiver
  • Delivery status

Using Sthira:

1
Load XML samples.
2
Let Data Analysis detect structure.
3
Build a focused target model.
4
Auto-generate maps and validation logic.
5
Deploy in production with no manual scripting.

Section Icon Data Analysis Architecture

Data Analysis Streamline your data processing with Sthira's efficient workflow

Sthira Data Consolidation Architecture architecture