Vendor Analysis
published on Jun 23, 2021
Report Overview:
This NelsonHall assessment analyzes ABBYY's 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 ABBYY’s 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 ABBYY’s process discovery and mining capabilities, covering ABBYY Timeline’s functionality for:
- Data collection, extraction, loading, and transformation
- Process analysis
- Process improvement
- Process monitoring
- Corrective action enablement
- Administration.
This report also assesses ABBYY’s product development strategy and strengths and challenges.
Key Findings & Highlights:
ABBYY Timeline is an all-in-one platform for process intelligence aimed at the business user. As of Timeline 5.0, ABBYY supports business data (process mining) and user interaction data (task mining).
ABBYY Timeline currently requires desktop data (task mining) to be manually linked to process activities in the business data (process mining) for end-to-end analysis. It offers a seamless UI for analyzing the two data types separately or together.
ABBYY Timeline includes over 20 built-in analyses, including Benchmarking, Bottleneck analysis, Deadline analysis, Schema analysis (Process Maps), Trend analysis, and Workflow analysis.
Conformance checking in ABBYY Timeline centers around protocols (business rules), which can be anything from the amount of rework allowed and four-eyes principle to the time constraint between activities and SLAs.
Timeline includes the Breakdown analysis for users to discover root causes for a set of cases. Breakdown enables users to manually drill down into any dimension and case attribute to see at-a-glance if there are any salient attribute values in the case data using a block chart.
ABBYY Task Mining provides AI-based task suggestions that look for repeatable sequences across data streams for process experts to verify and approve. A focus of ABBYY Task Mining is to identify and rank tasks (process events) for automation.
ABBYY Timeline is part of its messaging around Digital Intelligence and has been fully integrated into ABBYY’s portfolio. It is primarily offered as a SaaS platform but can also be deployed on-premise.
ABBYY sees its pipeline being driven 70/30 by automation and by ABBYY’s traditional install base.