From “ETL” to “ELT” and Why It Matters for the Next Generation of Process Mining, Discovery & Analysis

White paper

From “ETL” to “ELT” and why it matters for the next generation of process mining, discovery & analysis

How data transformation methods impact process mining and discovery results

A key requirement for effective process mining is the ability to access event logs from various systems of record, as they actually occur. This event log data provides the fuel for process insights, predictions, and decision-making. But first, it must be transformed.

Download it now!

This white paper explores the different approaches to data transformation using ETL (Extract, Transform, and Load) and ELT (Extract, Load, and Transform), and their resulting value in supporting process mining of event log data in cased-based processes with a high degree of variability such as healthcare delivery, claims processing, and customer service.

Get to the bottom of why the shift from ETL to ETL matters for the next generation of process discovery, mining, and analysis.

Get your copy by filling in the form.

I am aware that my consent could be revoked at any time by clicking the unsubscribe link inside any email received from ABBYY Solutions Ltd. or via ABBYY Data Subject Access Rights Form.

By submitting this form, I consent to the use of my personal information for the purposes described in the Privacy Notice.

Thank you for your interest in ABBYY and its technologies.

Factoids 027 77X77

Have questions? Contact ABBYY