Vendor Analysis
published on May 28, 2020
Report Overview:
This NelsonHall assessment analyzes NICE Systems' offerings and capabilities in Process Discovery & Mining Technology Evaluation
Who is this Report for:
NelsonHall’s Process Discovery & Mining Technology Evaluation, provides an assessment of NICE Systems’ process discovery & mining platform designed for:
- Sourcing managers monitoring the capabilities of existing suppliers of Process Discovery & Mining platforms and identifying vendor suitability for RFPs
 - Process reengineering and RPA and intelligent automation center of excellence personnel evaluating process discovery & mining platform capability
 - Vendor marketing, sales, and business managers looking to benchmark their platforms against their peers
 - Financial analysts and investors covering intelligent automation and process discovery & mining platforms.
 
Scope of this Report:
The report provides a comprehensive and objective analysis of NICE Systems’ process discovery and mining capabilities, covering its Automation Finder and Desktop Analytics products’ functionality for:
- Data collection
 - Process analysis
 - Process improvement
 - Administration.
 
This report also assesses NICE Systems’ product development strategy and strengths and challenges.
Key Findings & Highlights:
NICE Systems platform offers Automation Finder and Desktop Analytics products for process discovery and business intelligence. The two products combined offer:
- Data collection
 - Process analysis
 - Process improvement.
 
NICE Systems offers a capable product for process discovery. Automation Finder’s ML technology to discover tasks/routines and its capability to analyze the interaction of tasks/routines to build process maps without any input from business analysts.
NICE uses unsupervised ML to split a day’s worth of work into individual routines (tasks, e.g., Updating an Order in SAP) and processes (set connected routines, e.g., Ship to Receive).
NICE plans to enhance its ML for process/routine discovery to incorporate user input.
