Syncari Features
What are the features of Syncari?
Functionality
- Identification
- Correction
- Normalization
- Preventative Cleaning
- Data Matching
Management
- Reporting
- Automation
- Quality Audits
- Dashboard
- Governance
Platform Operations
- Duplicate Match
- Integrations
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Syncari Categories on G2
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Data Sourcing
Data Enrichment | Uses external data sources to improve customer profiles. | Not enough data | |
Expandability | Can be updated to accept new sources and types of data. | Not enough data | |
Multiple Devices | Can engage with customers across any device with a consistent message. | Not enough data |
Intelligence
Marketing Metrics | Provides analysis of marketing program ROI and efficiency. | Not enough data | |
Predictive Modeling | Predicts outcomes based on statistical models; can give insight to "what-if" scenarios. | Not enough data | |
Recommendation Engine | Uses artificial intelligence to provide suggestions based on desired outcomes. | Not enough data |
Functionality
Identification | Correctly identify inaccurate, incomplete, or duplicated data from a data source. 16 reviewers of Syncari have provided feedback on this feature. | 95% (Based on 16 reviews) | |
Correction | As reported in 17 Syncari reviews. Utilize deletion, modification, appending, merging, or other methods to correct bad data. | 94% (Based on 17 reviews) | |
Normalization | Standardize data formatting for uniformity and easier data usage. This feature was mentioned in 19 Syncari reviews. | 97% (Based on 19 reviews) | |
Preventative Cleaning | Clean data as it enters the data source to prevent mixing bad data with cleaned data. 15 reviewers of Syncari have provided feedback on this feature. | 94% (Based on 15 reviews) | |
Data Matching | Based on 19 Syncari reviews. Finds duplicates using the fuzzy logic technology or an advance search feature. | 98% (Based on 19 reviews) | |
Debugging | Ensures live debugging to alert if any failure during data sync. | Not enough data | |
Workflow Automations | Supports the creation of automated workflows and data pipelines. | Not enough data | |
Notifications | Supports notifications in messaging applications such as Slack, and even in workflows. | Not enough data | |
API Integrations | Provides several pre-built connectors and API integrations to build data workflows. | Not enough data | |
Programmed trigger of data sync | Programmatic trigger of syncs via public APIs | Not enough data | |
Incremental data sync | Native support for incremental syncing | Not enough data | |
Data audit | Move sync logs back into warehouse for auditing | Not enough data |
Management
Reporting | Provide follow-up information after data cleanings through a visual dashboard or reports. This feature was mentioned in 17 Syncari reviews. | 85% (Based on 17 reviews) | |
Automation | Automatically run data identification, correction, and normalization on data sources. This feature was mentioned in 20 Syncari reviews. | 98% (Based on 20 reviews) | |
Quality Audits | Based on 16 Syncari reviews. Schedule automated audits to identify data anomalies over time based on set business rules. | 91% (Based on 16 reviews) | |
Dashboard | Based on 15 Syncari reviews. Gives a view of the entire data quality management ecosystem. | 82% (Based on 15 reviews) | |
Governance | Allows user role-based access and actions to authorization for specific tasks. This feature was mentioned in 16 Syncari reviews. | 88% (Based on 16 reviews) | |
Hierarchy Management | Captures and manages data hierarchy and definitions. | Not enough data | |
Reference Data Management | Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems. | Not enough data | |
Data Lineage | Helps understand the origination and route of data along with the transformations happening across various domains. | Not enough data | |
Metadata Management | Provides context and information for data assets stored across domains and ensures adherence to established policies and processes. | Not enough data | |
Third-Party Apps | Allows users to manage third party application integration | Not enough data | |
White Labelled | Provides a fully white labelled solution | Not enough data | |
Workflow | Provides users with intelligent workflow automation capabilities | Not enough data | |
Self-Service | Self-service enables a software provider’s customers to easily activate packaged integrations. | Not enough data | |
Monitoring | Monitoring features, including instrumentation and observability, enable the product team and operations teams to centrally manage all customer integrations. | Not enough data | |
Notification | Notification and alerts are included that empower development teams to manage and push out updates to integrations to across their customer base. | Not enough data |
Matching
Priority Matching | Allows users to prioritize matches based on criteria such as region, account attributes, and other customer information. | Not enough data | |
Account Tiebreakers | Provides tiebreaking features when leads match to multiple accounts. | Not enough data | |
Fuzzy Matching | Provides matching logic features for special characters, acronyms, and other complex names. | Not enough data |
Routing
Match and Route | Automatically routes matched leads directly to account owners. | Not enough data | |
Multi-Objects | Allows users to build custom routing rules. | Not enough data | |
Territories | Allows users to assign leads to selected territories and regions. | Not enough data | |
Working Hours | Allows users to configure schedules so leads are routed only during working hours. | Not enough data |
Platform Operations
Service level Agreements | Allows users to configure service level agreements so leads get matched and routed as fast as possible. | Not enough data | |
Audit Logs | Provides features to audit any leads that were misrouted to incorrect accounts. | Not enough data | |
Duplicate Match | As reported in 10 Syncari reviews. Provides features to quickly audit leads and identify if there are duplicate leads in multiple accounts. | 97% (Based on 10 reviews) | |
Capping | Limits the number of leads to assign to sales reps. | Not enough data | |
Analytics | Provides analytics for tracking and monitoring routing. | Not enough data | |
Integrations | Provides integrations for CRMs and marketing automation platforms. 10 reviewers of Syncari have provided feedback on this feature. | 97% (Based on 10 reviews) |
Development
Real-Time Integration | Supports event or transaction based integrations that react to changes in real-time | Not enough data | |
Flow Designer | Allows for integration development through the visual development of integration logic flows with the help od a drag and drop user interface. | Not enough data | |
Pre-Built Connectors | Facilitiates API development and integrations with prebuilt connectors, templates, and examples. | Not enough data | |
Custom Connectors | Provides the ability to create connectors from existing services and APIs in catalog. | Not enough data | |
Reusable connectors | Provides prebuilt, reusable connectors and workflows for all user integration requirements. | Not enough data |
Management
Monitoring & Notification | Console for monitoring resource utilization, system health, ability to start and stop processes, etc. | Not enough data | |
Routing And Orchestration | Enables data routing on configuration basis and management of complex workflows through an orchestration engine. | Not enough data | |
Data Mapping | Facilitates to and fro data map according to the data model between applications/web services. | Not enough data | |
Data Transformation | Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system. | Not enough data | |
API Management | Supports and oversees the management of API products across their full lifecycle | Not enough data |
Security
Data Encryption | Employs data encryption both at rest and in transit. | Not enough data | |
Security Standards | Comply to key industry standards like SOC 2, ISO 27001, PCI DSS, HIPAA etc to protect and safeguard data. | Not enough data | |
Communication Protocol | Supports secure communication protocols like FTPS, SFTP etc | Not enough data | |
Data Governance | Encompasses of policies, principles and qualities to promote access to accurate and certified master data. | Not enough data | |
Data Masking | Helps mask or hide critical information to prevent unauthorized access. | Not enough data | |
Authentication | Ability for users to offload authentication integration | Not enough data | |
Compliance | Compliant with GDPR, HIPPA, and other necessary regulations | Not enough data | |
Security Compliance | Supports industry standards (GDPR, CCPA etc) before, during, and after the reverse ETL process. | Not enough data | |
Data Encryption | Ensures data encryption across multiple levels of the reverse ETL process. | Not enough data |
Integration Options
Data Virtualization | Integrates data from disparate sources, without physical data movement | Not enough data | |
Managed File Transfers | Provides one or more methods to securely transfer data from one location to another through a network | Not enough data | |
Big Data Processing | Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase) | Not enough data | |
EDI | Provides Integrations to EDI service providers. | Not enough data |
Functionality
Multi-Domain | Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing. | Not enough data | |
Match & Merge | Matches master data records and merges them into a single accurate record across source systems. | Not enough data | |
Relationship Mapping | Shows relationships between records and entries, defined in a repository model. | Not enough data | |
User Interface | Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions. | Not enough data |
Revenue Sourcing and Forecasting
Revenue History | Allows users to track how previous revenue forecasts have developed over time | Not enough data | |
Pipeline Management | Allows users to track pipeline to identify deals that are stalled, at risks and future opportunities | Not enough data | |
Dashboard Analytics | Reports results on revenue attainment, conversion rate, and overall revenue analytics | Not enough data | |
Data Segmentation | Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region. | Not enough data | |
Predictive Forecasting | Provides users with ability to predict upcoming forecast based on AI insights and deal health | Not enough data | |
Revenue Operations Cadence | Provides users with ability to analyze weekly, monthly, and quarterly operational cadences to ensure success | Not enough data |
CRM Data Enrichment
Calendar Sync | Automatically associates calendar invites to update deal progress in a CRM | Not enough data | |
Email Activity Capture | Automatically associates sales activities within emails to the relevant accounts in your CRM | Not enough data | |
Conversation Intelligence | Automatically associates sales activities within conversation intelligence tools to the relevant accounts in your CRM | Not enough data | |
Marketing Leads | Automatically links marketing leads to sales generated opportunities in your CRM | Not enough data | |
Contact Capture | Automatically captures contacts engaged with and associates to relevant accounts in a CRM | Not enough data |
Account Management
Nonengaged Accounts | Identifies accounts that sales reps aren't engaging with | Not enough data | |
Account optimization | Maximizes account coverage by determining the optimal number of accounts per rep | Not enough data | |
Historical Patterns | Identifies common themes among historical deals that are won or lost | Not enough data | |
Rep Performance | Identifies common themes and actions amongst reps that close the most deals | Not enough data | |
Account Engagement | Allows users to track the level of engagement with each account and provides insights on frequency of engagement | Not enough data | |
Historical Win/Loss Patterns | Identifies common themes among historical deals that are won or lost to provide insights into successful strategies | Not enough data |
Deployment
Hybrid | Supports deployment of integration apps both on-premisis and cloud environments/ | Not enough data | |
Cloud to Cloud | Supports deployment of integration apps to a managed cloud environment | Not enough data |
Data
Scalability | Scales to adapt to rising data volume | Not enough data |
Development
Low-Code | Provides users with self-service, low-code/no-code development options | Not enough data | |
Customization | Allows users to build and deploy custom integrations for customer-facing applications | Not enough data |
Data Management
Data Modeling | Supports the creation of SQL models to query any data warehouse. | Not enough data | |
Auditing | Detailed logging for auditing needs. | Not enough data | |
Observability | Real-time visibility into the reverse ETL process. | Not enough data | |
Data mapping | Configures data mapping from data warehouse to target tools. | Not enough data | |
Reporting | View the reverse ETL data via reports and charts through data viz and sync progress. | Not enough data |
Application Integration
Third Party | Organizations have the ability to integrate applications with third party and/or customer facing applications. | Not enough data | |
Scalability | Elastic processing capabilities enable software providers to meet customer integration processing demand. | Not enough data | |
Workflow Automation | Platform provides users with prebuilt application connectors and integration workflow automations. | Not enough data | |
Connectivity | Connectivity APIs can be enabled to allow development teams to directly integrate with applications, databases, and services. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data | |
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data |
