Enterprise data integration suite with mainframe connectivity, data quality capabilities, and regulatory compliance support that helps pension funds integrate legacy financial systems, process high-volume transaction data, implement data governance, and support audit requirements while minimizing operational risk.
Systems that extract, transform, and load data between various pension systems, ensuring consistent information flow across investment, member administration, and financial platforms.
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Wide Source Support Support for a wide range of data sources (databases, files, APIs, SaaS, etc.). |
Precisely Connect supports a wide range of sources including mainframes, databases, SaaS, files, and APIs. Documentation and solution briefs make this explicit. | |
Pre-built Connectors Availability of out-of-the-box connectors for common pension fund systems (admin, investments, finance, etc.). |
The product touts out-of-the-box connectors with common platforms and mainframe environments, commonly found in pension administration. | |
Custom Connector Development Ability to quickly build connectors for proprietary or less common systems. |
Precisely Connect allows the rapid development of custom connectors, including legacy/proprietary mainframe interfaces. | |
Real-time Data Sync Capability to integrate with sources in real time or near real time. |
Supports real-time and near-real-time data synchronization and streaming from mainframe to cloud and other sources. | |
Batch Data Loading Support for scheduled or trigger-based batch data ingestion. |
Batch data loading is a primary feature of Precisely Connect for high-volume transaction ingestion. | |
On-premises and Cloud Compatibility Ability to connect to both cloud-based and local systems securely. |
Supports secure connections to both on-premises legacy/mainframe and cloud platforms. | |
Data Lake Integration Native integration with data lakes for large-scale storage and analytics. |
Precisely Connect includes native data lake integrations for analytics at scale according to product datasheets. | |
Streaming Data Support Capability for ingesting and processing streaming data (e.g., market feeds). |
Supports event/transaction streaming and can move streaming data into cloud and analytics systems. | |
Data Virtualization Ability to access and analyze data without physically moving it. |
Data virtualization features are available, allowing data access without migration as documented in solution overviews. | |
Connectivity Through Firewalls Handles secure access to data sources behind firewalls or within restricted networks. |
Handles connections through firewalls and restricted networks using standard enterprise security approaches. | |
Concurrent Data Connections Maximum number of simultaneous source/target connections supported. |
No information available | |
Multiple Environment Support Ability to connect to multiple segregated environments (dev, test, prod). |
Multi-environment support is part of enterprise deployment: dev, test, prod configurations are supported (per documentation). | |
Built-in Schedulers Integrated job schedulers for managing ETL tasks. |
The solution includes built-in schedulers for ETL and data replication. |
No-code/Low-code Transformation UI Provides graphical or drag-and-drop tools for creating transformation pipelines. |
Precisely Connect offers an intuitive low-code and drag-and-drop user interface for transformation pipeline configuration. | |
Advanced Scripting Support Enables complex logic in common script languages (Python, SQL, Java, etc.). |
Advanced scripting is available for custom logic, supporting industry-standard scripting languages. | |
Bulk Data Transformation Processes large volumes of data efficiently. |
Optimized for large data sets; performance benchmarks and case studies reference bulk processing. | |
Data Profiling Automatic data type detection, outlier analysis, and data statistics. |
Offers built-in data profiling tools for data discovery, type detection, and outlier analysis. | |
Data Cleansing Functions Built-in functions for deduplication, null value imputation, and standardization. |
Data cleansing functions such as deduplication, imputation, and standardization provided within the data quality suite. | |
Schema Mapping Automatic or assisted mapping between source and target data models. |
Schema mapping is automated or can be assisted for ETL flows (documented in product sheets). | |
Data Enrichment Augmenting internal data with 3rd party or external sources (e.g. actuarial tables). |
External data enrichment (e.g. reference tables, actuarial sets) supported through third-party source integration. | |
Semantic Layer Support Apply business logic and definitions at a semantic level for consistency. |
Semantic layer and business logic application features are part of transformation layer per product resources. | |
Reusable Transformation Components Ability to save and reuse transformation logic/templates across processes. |
Templates are reusable and transformations modular, as highlighted in configuration guidance. | |
Version Control for Pipelines Tracks changes and versions for transformation logic. |
Versioning and change tracking provided for transformation logic in enterprise installs. | |
Transformation Speed Rate of data processed during ETL transformation. |
No information available | |
Dynamic Parameterization Allows runtime variables/parameters in transformation pipelines. |
Parameterization is possible for runtime execution, shown in examples on operationalizing pipelines. | |
Error Handling and Logging Rich error tracking, logging, and remediation features. |
Detailed error logging, tracking, and remediation steps are available for operational flows. |
Built-in Data Quality Rules Library of common data quality checks (valid ranges, mandatory fields, format checks). |
Includes library of data quality check rules with configurable thresholds (per the product documentation). | |
Custom Validation Rules Ability to configure or code custom data validation checks. |
Supports custom/bespoke data quality and validation rules per business or actuarial/regulatory needs. | |
Data Lineage Tracking Tracks origin, movements, and changes to specific data fields. |
Data lineage tracking is a core data governance feature within Precisely Connect. | |
Anomaly Detection Automatically flags outliers or unusual data patterns. |
Anomaly detection and exceptions are flagged during quality and profiling operations. | |
Data Reconciliation Features Tools for reconciling member, transaction, and holding data between systems. |
Reconciliation tools provided for financial, holding, and transaction data between source and target. | |
Automated Data Correction Allows automatic remediation or correction of known data issues. |
Options for automated correction and remediation of identified issues. | |
Audit Trail Comprehensive logs show every data change and processing step. |
Comprehensive change/audit trail logs supporting compliance and audit needs. | |
Data Quality Dashboards Visual dashboards for data quality metrics over time. |
Dashboard reporting for data quality metrics; visualizations supported as shown in the product UI. | |
Duplicate Record Detection Auto-identifies duplicate entries (e.g., members with multiple accounts). |
Duplicate identification included in cleansing and quality feature set. | |
Data Quality Reporting Generates on-demand data quality reports, including exception reports. |
Generates quality and exception reports on demand (reporting documentation reference). | |
Threshold Alerts Configurable alerts for when data quality falls below set thresholds. |
Configurable alerting for quality thresholds is supported. | |
Data Retention Policy Enforcement Support for enforcing data retention and deletion schedules. |
Data retention/deletion schedule enforcement available for compliance mandates. | |
Data Validity Rate Percentage of data passing all quality and validation checks. |
No information available |
Data Encryption In-Transit Encrypts all data while it moves between sources, transformation, and targets. |
Industry-standard encryption (TLS, SSL, etc.) for all in-transit data transfers. | |
Data Encryption At-Rest Encrypts all data at storage level within ETL systems. |
Data at-rest encryption supported in target cloud platforms and on-premises deployment. | |
Role-Based Access Control (RBAC) Manage feature/data access based on user roles and permissions. |
Granular role-based access configuration available in security section. | |
Single Sign-On (SSO) Integration Integrates with enterprise SSO for user authentication. |
Integrates with enterprise SSO providers such as SAML/Active Directory. | |
Audit Logging Keeps secure, immutable logs of all activities for compliance. |
Immutable audit logs for compliance; highlighted in documentation for SOX/GDPR support. | |
GDPR and Data Privacy Support Features to enforce privacy by design, encryption, and auditability. |
Supports GDPR and privacy requirements, including auditability and privacy by design features. | |
PII Masking and Redaction Automated data masking of personally identifiable information. |
PII masking and data redaction available for sensitive fields, per security documentation. | |
Data Residency Controls Controls to ensure data is stored and processed only in permitted geographies. |
Supports data residency controls and geographical location policies. | |
Activity Monitoring & Alerting Automated alerts on suspicious access or data movement. |
Suspicious access and data movement are monitored; alerting can be configured. | |
Compliance Certifications Evidence of passing ISO 27001, SOC 2, or other relevant audits. |
Precisely's compliance certifications include SOC 2 and ISO 27001 per vendor site. | |
Custom Access Policies Support for defining organization-specific security rules. |
Custom access/security policies configurable as per customer requirements. | |
Data Anonymization Automated tools to anonymize data sets for testing or analytics. |
Data anonymization features are available for de-identified test or analytic data. | |
Regulatory Reporting Automation Automates key regulatory (e.g., pension fund) reporting requirements. |
Automates regulatory reporting flows and output, including pension fund reporting modules. |
Horizontal Scalability Supports scale-out architecture to handle increasing data or user loads. |
Scaled deployments and reference architectures illustrate horizontal scaling. | |
Vertical Scalability Can utilize additional hardware resources on single nodes efficiently. |
Vertically scalable in both on-premises and cloud installs as noted by Precisely resource guides. | |
High Throughput Capable of processing large volumes within tight SLAs. |
High throughput operation for large volume batch and real-time jobs is a demonstrated capability. | |
Concurrent Job Execution Runs multiple ETL jobs in parallel without resource contention. |
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Auto-scaling Automatically increases or decreases resources based on load. |
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Latency Typical time delay from extraction to loading data. |
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Peak Data Volume Maximum data volume the system can handle per unit time. |
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Resource Utilization Monitoring Monitors CPU, memory, and storage utilization during workloads. |
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Failover & Redundancy Has features for automatic recovery/failover in the event of hardware or network failures. |
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Job Prioritization Allows task prioritization for critical ETL workloads. |
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Distributed Processing Can distribute processing to multiple nodes for faster ETL. |
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Load Balancing Automatically balances load between ETL nodes. |
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Processing Speed Average number of records processed per second. |
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Workflow Designer Graphical or code-based interface to build and visualize data pipelines. |
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Scheduling and Automation Schedule jobs by time, event, or dependency. |
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Event-Driven Processing Triggers ETL pipelines based on data arrival or system events. |
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Conditional Logic Supports IF/ELSE or other logic for handling complex pension data flows. |
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Job Dependency Management Automatically manages upstream and downstream dependencies. |
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Retry and Recovery Policies Automated retry and recovery for failed tasks. |
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Alerts and Notifications Sends automated notifications on job success, failures, or SLAs breaches. |
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Parameterization of Jobs Run pipelines with parameters for reusability. |
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Human-in-the-Loop Approval Steps Supports manual approval or intervention within automated flows. |
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Workflow Templates Preconfigured workflow templates for common pension fund tasks. |
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Pause and Resume Workflows Can pause/resume (maintenance, issues) workflows in progress. |
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End-to-End Logging Logs all orchestration events across workflows. |
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API for Job Control API to launch, monitor, or change workflows programmatically. |
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Intuitive User Interface Modern, usable UI for both technical and non-technical users. |
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Role-specific Dashboards Custom dashboards for admins, analysts, or data stewards. |
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Multi-user Collaboration Allows simultaneous access and editing by teams. |
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Change Tracking Shows history of who made what changes and when. |
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In-product Documentation Embedded how-to guides and inline documentation. |
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Commenting and Conversation Allows users to discuss and document within ETL pipelines. |
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Custom Shortcuts/Macros Allows user-configurable shortcuts for frequent tasks. |
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Accessibility Compliance Features for vision-impaired or otherwise disabled users. |
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Multilingual Support User interface available in multiple languages. |
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Exportable Workflows Ability to export/import ETL pipelines between environments. |
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Self-service Features Enables business users to manage or run ETL jobs. |
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Mobile Access Mobile-friendly dashboard or workflow monitoring. |
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Data Catalog Integration Links metadata to enterprise data catalogues for discovery. |
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Cloud-native Deployment Available as a SaaS or native cloud service. |
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Containerization Support Supports deployment via Docker, Kubernetes, or similar. |
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On-Premise Deployment Installable within in-house data centers. |
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Hybrid Deployment Supports simultaneous cloud and on-premise operations. |
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Multi-cloud Capability Can run workloads across multiple cloud providers. |
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High Availability Architecture Supports HA for zero-downtime operation. |
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Disaster Recovery Features Built-in DR for rapid data and service restoration. |
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Automated Upgrades Automated version upgrades with rollback support. |
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Resource Isolation Workspaces, environments, or nodes isolated for security. |
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API-first Architecture Exposes functionality programmatically via APIs. |
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Configuration as Code Infrastructure and pipeline as code for repeatable deployments. |
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Automated Patching Applies security and bug fixes automatically. |
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Scalable Storage Options Integrates easily with dynamic storage tiers/cloud buckets. |
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Centralized Monitoring Dashboard Single-pane-of-glass for job statuses, throughput, and errors. |
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Customizable Alerts Set specific conditions for alerts (thresholds, failures, SLAs). |
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Historical Log Retention Ability to store and search run-time logs for compliance time periods. |
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Usage Analytics Displays metrics for job runs, resource consumption, pipeline utilization. |
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Real-time Status Updates Immediate visibility into running, failed, or completed jobs. |
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Drill-down Job Tracing Detailed tracing of pipeline execution, performance, and bottlenecks. |
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Integration with SIEM Tools Feeds logs/events to enterprise security info and event management products. |
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Custom Metric Tracking Define and monitor key pension fund metrics in ETL processes. |
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Job Run History Depth Maximum number of historical runs retained for analysis. |
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Error Categorization Errors/warnings classified for rapid triage and response. |
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Exportable Reports Reports downloadable in multiple formats (CSV, PDF, etc.). |
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Custom Dashboards Users can design dashboards with metrics relevant to pension processes. |
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Uptime Monitoring Track and report system/service uptime. |
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Open API Access Full-featured API for integration with external systems. |
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Webhooks Can send instant notifications/events to other systems. |
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Third-party Plugin Support Extensible with plugins/add-ons (including actuarial & compliance modules). |
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Command Line Interface (CLI) Offers CLI for scripting and automation beyond the GUI. |
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Integration with BI Tools BI tools (e.g., Tableau, Power BI) direct access to clean data. |
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Custom SDK/Extensions Developers can extend product via SDKs or APIs. |
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ETL as a Service (ETLaaS) Support Integrates with SaaS offerings for managed ETL delivery. |
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Metadata Synchronization Sync metadata with data catalogues or data governance tools. |
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Workflow Triggering via API External system can trigger ETL workflows automatically. |
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Support for Standard Formats Can ingest/export standard actuarial, regulatory, and accounting formats (XBRL, etc.). |
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REST and SOAP API Support Supports industry-standard integration protocols. |
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Programmatic Metadata Access Allows third-party applications direct access to metadata stores. |
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Automated Data Lineage Export Exports lineage data to third-party governance or audit tools. |
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Transparent Pricing Model Clear, published pricing based on usage, users, or features. |
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Flexible Licensing Options Supports subscription, perpetual, or usage-based licenses. |
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Metered Usage Reporting Real-time reporting of usage or consumption for cost control. |
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Multi-tenant Cost Allocation Automatically allocates cost between business units/funds. |
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License Management Console Self-service license management for admins. |
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Automated Overages Alerting Notification for excess usage/approaching contract limits. |
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Cost Projection Tool Built-in calculator to estimate future spend. |
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Resource Quotas Allows admins to impose usage or cost limits. |
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Pay-as-you-go Billing Supports billing proportional to actual use. |
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Cost per Workflow Average cost incurred for a typical pension ETL workflow. |
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Annual Maintenance Fee Ongoing maintenance/support fee for on-prem or perpetual licenses. |
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Concurrent License Cap Maximum number of users/processes allowed under license. |
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Usage Analytics for Cost Shows drivers of cost for optimization and budgeting. |
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24/7 Support Availability Vendor provides around-the-clock phone/email support. |
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Dedicated Account Manager Assigned contact for escalation and ongoing relationship. |
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Comprehensive Documentation Extensive online or in-product user/config documentation. |
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Community Forums Public forums where users share solutions and best practices. |
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Certified Integration Partners Network of third-party integrators with pension domain expertise. |
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Regular Feature Updates Frequent updates to add/fix features, incorporate industry changes. |
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Training and Onboarding Structured training programs for technical/business users. |
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Service Level Agreements (SLAs) Published guarantees for uptime, response, and issue resolution. |
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Managed Services Option Option for vendor to operate and manage ETL processes completely. |
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Migration Assistance Vendor-led assistance to move workloads from legacy tools. |
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Online Knowledge Base Extensive searchable resources for common questions. |
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User Conferences/User Groups Events for sharing experiences and learning sector best practices. |
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Customization Services Vendor or partner can build custom features for the organization. |
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