ABBYY Timeline and Appian Process Mining are sometimes compared for numerous use cases in Process Mining. We have a detailed features table below. You can also customize your requirements and get expert ratings comparing these two solutions against hundreds of data points across Security, Data Processing, Testing and Debugging, Process Analytics, Integration, User Experience and Compliance.
ABBYY Timeline, part of ABBYY's Intelligent Document Processing suite, is a process mining solution adept at unstructured, case-based processes. It seamlessly integrates with ABBYY IDP to uncover insights from various document types. ABBYY emphasizes process discovery, conformance, and remedy use cases.
Appian offers process mining capabilities via its acquisition of Lana Labs. The core focus at Appian is to offer an end-to-end process improvement platform to end-users by converting process mining insights into automatable workflows. Appian is known for its strong process automation and orchestration capabilities and leverages process mining for the same purpose. Appian is suited for automation-led use cases and not well-suited for non-automation use cases.
Customize these feature priorities in Taloflow and get expert ratings for your exact use case.
| Feature | Dimensions | Description | ABBYY | Appian |
|---|---|---|---|---|
| ADP |
|
Support available for integrating with ADP Workforce Now. | Great | Great |
| API Availability |
|
Provides robust Application Programming Interfaces (APIs) for easy integration with other tools, allowing for the smooth exchange of data and functionality. | Good | Good |
| Compatibility with Standard Data Formats |
|
Support common data formats (e.g., CSV, JSON) to facilitate easy data interchange between the process mining tool and external systems. | Great | Good |
| External API |
|
Support available for integration with external systems or applications through well-defined APIs | Good | Good |
| Hubspot |
|
Support available for integrating with Hubspot. | OK | Good |
| Microsoft Dynamics 365 |
|
Support available for integrating with Dynamics 365. | Great | Great |
| Oracle Fusion Cloud ERP |
|
Support available for integrating with Oracle Cloud ERP. | Great | Good |
| Oracle HCM |
|
Support available for integrating with Oracle HCM. | Great | Great |
| Power BI |
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Support available for integrating with Power BI. | Great | OK |
| Pre-built Integrations |
|
Offers pre-configured integrations or connectors for popular platforms, applications, or databases to streamline the integration process and reduce implementation time. | Great | Good |
| Qlik Sense |
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Support available for integrating with Qlik Sense. | Good | OK |
| Real-time Data Integration |
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Enables real-time or near-real-time data integration capabilities to ensure that the process mining tool can analyze and visualize the latest data from operational systems. | Good | OK |
| SAP S/4HANA |
|
Support available for integrating with SAP S/4HANA. | Great | Good |
| SAP SuccessFactors |
|
Support available for integrating with SAP SuccessFactors. | Great | Good |
| Salesforce |
|
Support available for integrating with Salesforce. | Good | Great |
| Tableau |
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Support available for integrating with Tableau. | Great | OK |
| Wide Range of Connectors |
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Offers a diverse set of connectors to seamlessly integrate with various data sources, systems, and applications commonly used in the organization. | Great | OK |
| Workday |
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Support available for integrating with Workday. | Great | Great |
| Zoho CRM |
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Support available for integrating with Zoho CRM. | OK | OK |
| CCPA |
|
This regulation pertains to data protection and privacy for residents of California. | Great | Great |
| Compliance Check Configurability |
|
Offer configurable compliance checks and validations to ensure adherence to industry standards and regulatory requirements. | Great | Great |
| Compliance Notifications |
|
Provides automated alerts and notifications to notify stakeholders of potential compliance issues and ensures timely remediation. | Great | Great |
| Compliance Reporting |
|
Has tools for generating compliance reports and documentation to demonstrate adherence to regulatory standards and requirements. | Great | Good |
| FFIEC |
|
This ensures compliance with the encryption requirements for all online transaction processing (OLTP) done by financial institutions. | UNKNOWN | NA |
| FISMA |
|
This demonstrates compliance with U.S. government legislation that defines a comprehensive framework protecting government information, operations, and assets against threats. | Great | Great |
| FedRAMP |
|
This ensures that the government security requirements outlined in NIST 800-53 are met and supplemented by the PMO of FedRAMP. | UNKNOWN | Great |
| GDPR |
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This regulation focuses on data protection and privacy for citizens and residents of EU countries | Great | Great |
| HIPAA |
|
This demonstrates security and compliance with the standards of the healthcare industry. | UNKNOWN | Great |
| HITRUST |
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This demonstrates compliance with HITRUST CSF, an industry-agnostic certifiable framework for regulatory compliance and risk management. The framework, developed by the not-for-profit organization HITRUST, contains a set of prescriptive controls that relate to the organizational processes and technical controls for processing, storing, and transmitting sensitive data. | UNKNOWN | Great |
| IRAP |
|
This is an Australian government standard for assessing the implementation and effectiveness of an organization’s security controls against the Australian government’s security requirements. | UNKNOWN | Great |
| ISO 27001 |
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Standard for information security management systems. | Great | Great |
| MTCS |
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This is a multi-tier cloud security standard set up by the government of Singapore. | UNKNOWN | NA |
| PCI |
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This standard ensures that all entities meeting security guidelines store, process, or transmit cardholder data and/or sensitive authentication data. | Great | Great |
| PSD2 |
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This demonstrates compliance with European regulations related to the Payment Services Directive. | UNKNOWN | Great |
| SOC 2 TYPE 1 |
|
This standard is for an organization's cybersecurity controls at a single point in time. | Great | Great |
| SOC 2 TYPE 2 |
|
This standard is for an internal control report capturing how a company safeguards customer data and how well those controls are operating. | Great | Great |
| SOX |
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This standard is for public companies and ensures that annual audits take place. These companies are legally required to show evidence of accurate and secure financial reporting. | Great | Great |
| Security Assessments |
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Regularly conduct security assessments and audits to identify vulnerabilities and ensure continuous improvement of security measures. | Good | Great |
| Tracking and Auditing |
|
Has features for tracking and auditing user access and activities, ensuring adherence to compliance requirements and regulations. | Great | Good |
| Bottleneck Analysis |
|
Provide analytics capabilities to analyze process data and gain insights into process bottlenecks, trends, and patterns. | Good | Great |
| Custom Analytics |
|
Support available for providing role-specific analytics and reporting capabilities to cater to different user needs and responsibilities. | Good | OK |
| Dashboarding |
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Provide visual dashboards with key metrics and performance indicators to monitor process health and efficiency. | Great | Good |
| Forecasting |
|
Support available for identifying process trends over time and provides forecasting capabilities to anticipate future process performance. | Good | Great |
| Heatmaps |
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Support available for showing heatmaps or process flow visualizations to identify areas of high activity or process variations. | Good | Good |
| KPIs Availability |
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Presence of quality process level KPIs such as on-time payments, default probability, order processing times, etc. | Good | Great |
| Predictive Process Analytics |
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Support available for utilizing predictive analytics techniques to forecast process outcomes or predict process delays. | Great | Great |
| Process Benchmarks |
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Presence of process level benchmarks for process improvement analysis. | Good | Good |
| Process Improvement Analytics |
|
Support available for analyzing historical process data to identify areas for improvement, optimize resource allocation, and drive process efficiency. | Good | Great |
| Real-time Alerts |
|
Support available for enabling real-time monitoring of process execution, task statuses, and performance metrics. | Good | Good |
| Reporting |
|
Support available for allowing users to create ad hoc reports and explore process data using custom queries or filters. | Great | Great |
| Root-cause Analysis |
|
Support available for identifying root causes of process failures, delays, or errors through detailed data analysis and correlation. | Great | Good |
| Visualization |
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Support available for presenting process data in visually appealing charts, graphs, or diagrams for easy understanding and analysis. | Great | Good |
| Concurrency Detection |
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Support available for excluding concurrency in the uploaded data. | Great | OK |
| Data Aggregation |
|
Support available for aggregating data for analysis. | Great | Great |
| Data Extraction |
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Support available for connecting and uploading large volumes of data. | Great | Great |
| Data Imputation |
|
Support available for identifying and handle missing data. | Good | Good |
| Data Transformation |
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Support available for transforming raw data. | Great | Good |
| Duplicate Data Handling |
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Support available for handling duplicate parameters in the uploaded systems data. | Great | Great |
| Noise Reduction |
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Support available for removing noise (unwanted elements) from the uploaded data. | Great | Great |
| Outlier Detection |
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Support available for handling outliers in the uploaded data. | Great | Good |
| Anomaly Debugging |
|
Provides automated anomaly detection mechanisms to flag irregularities in process mining results, aiding in efficient debugging. | Good | Great |
| Comprehensive Logging |
|
Maintains detailed logs of process mining activities and interactions, enabling the admin team to track and debug issues effectively. | Great | Good |
| Data Sampling |
|
Allows the admin team to sample data from various stages of the process mining pipeline to verify accuracy and consistency, facilitating thorough testing of the implementation. | Good | Good |
| Dynamic Visualization |
|
Offers interactive visual tools for admins to explore and analyze process mining results in real-time, facilitating efficient testing and debugging. | Good | Good |
| Version Control |
|
Has version control for process models and configurations, allowing for easy rollback and comparison during debugging processes. | Good | Good |
| Abstract-level Process Insights |
|
Enables users to search and filter process-related data, tasks, or documents for quick access and retrieval. | Good | Great |
| Anomaly Highlighting |
|
Incorporate anomaly detection and highlighting capabilities on process maps to draw attention to irregularities, exceptions, or deviations from the expected workflow, facilitating quick identification of potential issues. | Great | Good |
| Case-based Analysis |
|
Provide support to multiple languages to cater to users from different regions or language preferences. | Good | Great |
| Customizable User Interface |
|
Allows users to customize their process view. | Good | Good |
| Filtering Tools |
|
Allows users to apply various analysis filters like time, data, activity, etc. | Good | Great |
| Granular-level Process Insights |
|
Supports detailed and precise analysis of individual steps within a process, enabling deeper understanding and optimization of each component. | Good | Good |
| Timeline View |
|
Include a timeline view feature in process mapping output, allowing users to observe the chronological order of activities and events, aiding in the identification of bottlenecks or delays. | Good | Great |
| Anonymization and Pseudonymization |
|
Incorporate methods to anonymize or pseudonymize personally identifiable information (PII) to protect individual identities during analysis. | Great | Great |
| Auditing |
|
Employ robust auditing capabilities to track and monitor user activities and ensure compliance with security policies and regulations. | Good | Good |
| Data Security |
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Provides robust support for securing sensitive data throughout the entire process mining lifecycle. | Great | Good |
| Encryption |
|
Supports strong encryption protocols to safeguard data when in-transit and at-rest. | Great | Great |
| Multi-factor Authentication (MFA) |
|
Implement multi-factor authentication to enhance access security and prevent unauthorized access to sensitive data. | Great | Great |
| Role-based Access Control (RBAC) |
|
Enable granular access controls based on user roles, restricting access to sensitive process information only to authorized individuals. | Great | Great |
| Threat Detection |
|
Use advanced threat detection mechanisms to identify and mitigate potential security risks proactively. | Great | Good |
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