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Business Process OutsourcingTop 10 Best It Operations Services of 2026
Ranked comparison of It Operations Services providers with criteria, strengths, and tradeoffs for IT teams evaluating Accenture, IBM Consulting, and TCS.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Accenture
Operational data modeling that links incidents, CMDB entities, and change records for deterministic automation.
Built for fits when enterprises need governed automation across multi-tool IT operations workflows..
IBM Consulting
Editor pickGoverned automation orchestration with RBAC and audit logging tied to operational data-model schemas.
Built for fits when enterprises need governed, API-driven operations automation across hybrid platforms..
Tata Consultancy Services
Editor pickAPI-driven runbook orchestration tied to ITSM workflows with audit-traceable execution controls.
Built for fits when large enterprises need governed automation across multiple ITSM and cloud operations tools..
Related reading
- Business Process OutsourcingTop 10 Best Business Operations Services of 2026
- Business Process OutsourcingTop 10 Best It Operations Managed Services of 2026
- Digital Transformation In IndustryTop 10 Best Business Operations Consulting Services of 2026
- Business Process OutsourcingTop 10 Best Automated Operations Software of 2026
Comparison Table
The comparison table benchmarks It Operations Services providers such as Accenture, IBM Consulting, Tata Consultancy Services, Infosys, and Capgemini across integration depth, data model, automation and API surface, and admin and governance controls. Readers can compare how each provider handles schema and provisioning patterns, RBAC and audit logs, and extensibility for workflows and telemetry at sustained throughput. The goal is to highlight concrete integration and governance tradeoffs that affect configuration, sandboxing, and operational change management.
Accenture
enterprise_vendorGlobal IT operations outsourcing and managed services with enterprise service desk, infrastructure operations, and application operations delivery across hybrid estates.
Operational data modeling that links incidents, CMDB entities, and change records for deterministic automation.
Accenture supports integration depth by mapping operational signals from monitoring, logging, and cloud systems into a unified event and service context. The resulting data model ties incidents, dependencies, assets, and changes so downstream automation can make deterministic routing and enrichment decisions. Automation and API surface are used to connect ticketing, CMDB, observability, and workflow engines, with extensibility for custom provisioning and runbook execution. Admin and governance controls are applied through RBAC-scoped access, audit log trails for actions, and environment separation for configuration changes.
A notable tradeoff is that deep integration and governance require careful upfront schema mapping and process alignment, which can slow initial cutover for narrowly scoped needs. One common usage situation is migrating operations to a new observability and ITSM workflow while standardizing runbooks for throughput-critical services. In that scenario, Accenture can define schemas, connect APIs for automation triggers, and enforce RBAC and audit logging across operations and change roles.
- +Integration across observability, ITSM, and cloud via API-driven workflow orchestration
- +Governed data model for events, assets, incidents, and change records
- +RBAC and audit logs support controlled operations and change traceability
- +Runbook and provisioning automation with extensibility for custom steps
- –Schema mapping and process alignment can extend onboarding timelines
- –Advanced governance requires disciplined configuration management by client teams
Best for: Fits when enterprises need governed automation across multi-tool IT operations workflows.
More related reading
IBM Consulting
enterprise_vendorIT operations managed services and operational resilience programs that cover service desk, infrastructure management, and workplace and enterprise IT operations.
Governed automation orchestration with RBAC and audit logging tied to operational data-model schemas.
IBM Consulting engagement teams typically map operational workflows into an integration layer and align them to an operating data model that can drive provisioning, monitoring, and incident lifecycle steps. The service delivery commonly includes API surface design for automation and extensibility, along with event normalization so telemetry and tickets can share consistent schemas across tools. Admin governance work focuses on RBAC and auditable configuration changes so teams can separate duties between platform operators, automation developers, and application owners.
A tradeoff is that IBM Consulting usually fits best when an integration architecture and governance model already exist or can be built with the engagement team. For situations with only a single tool and minimal workflow coupling, the effort to formalize schemas, orchestration logic, and access controls can add overhead. A common usage situation is centralizing operational automation across multiple monitoring and ITSM systems while keeping permissions, audit logs, and change management consistent across teams.
- +Integration depth across monitoring, ITSM, and provisioning workflows
- +Documented API and extensibility model for automation and event flows
- +RBAC and audit log governance support multi-team operational ownership
- +Schema and data-model alignment for consistent incident and telemetry handling
- –Integration architecture work can add overhead for single-tool deployments
- –Automation design depends on shared schemas and agreed governance model
- –Turnkey value is limited when systems lack clean interfaces or data contracts
Best for: Fits when enterprises need governed, API-driven operations automation across hybrid platforms.
Tata Consultancy Services
enterprise_vendorIT operations outsourcing with service desk operations, infrastructure management, and cloud operations engineering designed for enterprise run and manage workloads.
API-driven runbook orchestration tied to ITSM workflows with audit-traceable execution controls.
TCS delivers IT operations services with an integration-first approach across incident, problem, change, and service request flows. The operating model typically connects monitoring and observability outputs to ticketing and orchestration layers, then drives runbook execution through automation interfaces. Integration depth is strongest when the client already standardizes on a shared data model for events, assets, and work items, because mapping rules and schema alignment become central to throughput and accuracy.
Automation and extensibility are expressed through orchestration workflows and API-based integrations with external systems, including CMDB, ITSM, and cloud operations tooling. A key tradeoff is that complex data model consolidation can require upfront schema work for asset and event normalization. This matters most in environments with multiple platforms and teams, where governance controls like RBAC and audit logs must support cross-domain change management and traceability.
- +Integration across ITSM, CMDB, monitoring, and orchestration workflows
- +Automation via workflow execution triggered by event-to-action mappings
- +Governance via RBAC and audit logging for cross-team operational controls
- +Extensibility through API adapters for third-party systems and tooling
- –Event and asset schema alignment can take significant upfront mapping effort
- –Runbook orchestration complexity increases with heterogeneous tooling and domains
Best for: Fits when large enterprises need governed automation across multiple ITSM and cloud operations tools.
Infosys
enterprise_vendorManaged operations and IT service management delivery including service desk, infrastructure operations, and application operations for global enterprises.
Managed operational workflows tied to RBAC controls and audit logs for change traceability.
Infosys fits the enterprise end of IT operations services with strong integration depth across hybrid estates and operational tooling. It provides an explicit automation and API surface through middleware, monitoring integrations, and managed workflow interfaces for provisioning and incident processes.
Governance controls are implemented through RBAC-aligned access patterns and audit-log oriented operations so administrators can trace changes. The delivery model emphasizes extensibility via configurable runbooks and data model alignment across systems.
- +Integration depth across hybrid estates and operational tooling
- +Automation and workflow interfaces for provisioning and incident handling
- +Extensibility through configurable runbooks and system mappings
- +Governance support via RBAC-aligned access patterns and audit logs
- +Data model alignment to reduce schema drift across tools
- –Automation outcomes depend heavily on integration design and ownership
- –Schema and connector alignment can add project lead time
- –API workflows require consistent event taxonomy across sources
- –Extensibility often needs engineering support for custom mappings
Best for: Fits when large enterprises need controlled automation across many operational systems.
Capgemini
enterprise_vendorIT operations managed services spanning service desk, infrastructure and cloud operations, and application support aligned to enterprise operating models.
Operations governance with RBAC plus audit logs for runbook and configuration change tracking.
Capgemini performs IT Operations Services by integrating monitoring, event management, and incident workflows across enterprise tooling. It supports a controlled operations data model for inventory, service mappings, and operational events, which enables consistent provisioning and reconciliation.
Automation and API surface are delivered through orchestrations that connect operations processes to upstream systems like ITSM and CI data sources. Governance centers on RBAC, audit logging, and configuration controls used to manage changes, runbooks, and operator access.
- +Integration across monitoring, ITSM, and CMDB workflows through defined interfaces
- +Operational data model supports inventory-to-service mapping reconciliation
- +Automation runbooks connect events to actions via orchestrated APIs
- +Governance includes RBAC and audit logs for operational change traceability
- –Deep integration work can require schema alignment across multiple operational tools
- –Complex automation increases dependency on consistent tagging and event normalization
- –Extensibility often needs engineering effort to maintain custom orchestration logic
- –Operational throughput may be constrained by workflow approvals and change windows
Best for: Fits when enterprises need governed operations integration with strong data model control and API automation.
Wipro
enterprise_vendorIT operations outsourcing that delivers service desk, network operations, workplace services, and managed application support for large organizations.
Operational workflow automation with schema-normalized telemetry integration across monitoring and incident tooling.
Wipro fits enterprises that need IT operations services tied to strict integration, data model alignment, and change governance across mixed tools and platforms. The delivery approach is structured around operational workflows, monitoring and event handling integration, and automation hooks designed for extensibility via APIs and controlled provisioning.
Engagements typically emphasize admin governance with RBAC-oriented access boundaries, audit log retention, and configuration management patterns that reduce operational drift. Integration depth is most visible where Wipro can map schemas, normalize telemetry, and automate runbooks across multiple systems with consistent throughput and error handling behavior.
- +Integration-led delivery across monitoring, ticketing, and orchestration systems
- +Schema mapping for telemetry normalization across heterogeneous data sources
- +Automation tied to documented APIs and runbook extensibility patterns
- +Governance focus with RBAC boundaries, configuration control, and audit logging
- –Data model alignment work can extend timelines for highly custom environments
- –API and automation surface depends on selected toolchain and integration depth
- –Change control overhead can slow rapid iteration during high churn periods
- –Extensibility requires clear ownership for automation code and schema updates
Best for: Fits when enterprises need controlled integration, schema alignment, and automation governance across operations tooling.
NTT DATA
enterprise_vendorManaged IT services that include service desk, infrastructure and network operations, and application support for enterprise run operations.
RBAC and audit log controls paired with integration-ready operational workflows.
NTT DATA delivers IT operations services with enterprise integration depth across hybrid estates, including integration patterns for monitoring, event, and incident workflows. Its operations automation and API surface are geared toward provisioning, configuration management, and extensibility points that connect tools through defined interfaces.
The service governance layer focuses on RBAC alignment, audit log retention, and admin controls that support compliance-oriented operations handoffs. Delivery is structured around operational throughput and controlled change, which supports repeatable schema and data model mapping across systems.
- +Integration depth across monitoring, event, and incident workflow tooling
- +Documented API and extensibility points for automation and integration breadth
- +Clear governance with RBAC alignment and audit log oriented operations control
- +Data model mapping support for consistent telemetry and event schemas
- –Automation coverage depends on selected toolchain and workflow scope
- –Schema and model harmonization can add lead time for complex estates
- –API and integration extensibility may require stronger internal platform ownership
- –Admin and governance controls vary by engagement design and service boundaries
Best for: Fits when enterprise teams need controlled automation, governance, and multi-tool integration for IT operations.
Tech Mahindra
enterprise_vendorEnterprise IT operations services including service management, infrastructure operations, and cloud operations support for multinational customers.
Managed runbook automation tied to ITSM workflows and incident lifecycle governance.
Tech Mahindra delivers IT operations services with enterprise integration into monitoring, service management, and cloud operations workflows across heterogeneous systems. Its delivery model emphasizes operational governance, change control, and standardized runbooks that support consistent incident, problem, and request execution.
Integration depth is expressed through automation hooks, API-linked tooling, and cross-platform data mapping into a unified data model for operational visibility. Automation and extensibility depend on how well existing schemas, event formats, and provisioning workflows can be aligned to its managed process.
- +Integration approach ties monitoring and service management workflows into operational execution
- +Governance coverage includes change control and operational reporting artifacts
- +Automation delivery supports event routing and scripted runbook execution
- +Data mapping efforts focus on schema alignment for consistent operational records
- +Delivery teams can adapt configurations to multiple environments and service catalogs
- –API surface depth varies by toolchain, impacting automation extensibility
- –Schema alignment work can add lead time for complex event and CMDB models
- –RBAC and audit log granularity depend on client tool adoption and integration choices
- –Throughput under burst conditions depends on integration latency and middleware design
Best for: Fits when enterprises need governed IT operations execution across multiple monitoring and service management systems.
DXC Technology
enterprise_vendorManaged infrastructure and application operations, service desk support, and IT modernization services delivered through ongoing run and manage engagements.
Admin governance with RBAC plus audit logs for operational and configuration actions.
DXC Technology delivers IT operations services through managed operations, incident and problem management, and infrastructure monitoring across enterprise environments. Its integration depth shows up in how operational workflows connect to service management, monitoring, and change processes via documented APIs and automation hooks.
The engagement typically centers on a governance model that supports RBAC and audit logging for admin actions, plus configuration controls for runbooks and job scheduling. Automation and API surface generally target repeatable provisioning, configuration management, and scalable operations across multiple operational domains.
- +Operational workflow integration with service management and monitoring systems
- +Automation hooks for provisioning, configuration, and operational runbooks
- +Governance controls using RBAC and admin audit logging
- +Data model alignment across incidents, changes, and operational events
- +Extensibility through documented APIs and integration patterns
- –Depth of schema mapping depends on the target tools and data model
- –Automation coverage can vary by operational domain and workload type
- –Higher coordination effort may be needed for complex multi-system schemas
- –Change management integration can add process overhead for frequent updates
Best for: Fits when enterprises need governed operations integration across monitoring, service management, and change.
Atos
enterprise_vendorIT operations and managed services for enterprise infrastructure, workplace, and service desk functions delivered as ongoing managed run capabilities.
Runbook-based operations delivery tied to governance and audit-ready execution artifacts.
Atos fits enterprises that need IT operations integration across hybrid estates, with process control tied to governance artifacts. The service delivery centers on operational runbooks, monitoring integration, and ticket workflows that can map into a shared data model.
Integration depth is driven by how Atos connects existing monitoring, service management, and infrastructure sources through documented interfaces and controlled change processes. Automation and API surface depend on the target tooling used in the delivery scope, with extensibility constrained by how those systems expose schema and orchestration hooks.
- +Integrates operations workflows across monitoring, ITSM, and infrastructure systems
- +Governance artifacts support change control, approvals, and traceable delivery steps
- +Runbook-driven delivery aligns incident handling to defined process scopes
- +Audit-ready operations documentation supports compliance and operational reviews
- –Automation depth depends on the customer tooling chosen for the integration
- –Extensibility can be limited when source systems lack stable API capabilities
- –Schema alignment work is often required to unify operational data models
- –API and automation coverage varies by platform and managed service scope
Best for: Fits when enterprises need controlled IT operations integration and governance across hybrid environments.
How to Choose the Right It Operations Services
This buyer’s guide covers how to evaluate IT operations services providers across integration depth, data model design, automation and API surface, and admin and governance controls.
It references Accenture, IBM Consulting, Tata Consultancy Services, Infosys, Capgemini, Wipro, NTT DATA, Tech Mahindra, DXC Technology, and Atos across the evaluation criteria, selection steps, and common failure modes.
IT operations service delivery that connects events, ITSM workflows, and provisioning under governed automation
IT operations services manage incident, problem, change, and operational execution by routing telemetry and operational records into runbooks and ITSM workflows. Providers like Accenture and IBM Consulting focus on an explicit operational data model for events, assets, and change records so automation can act deterministically across tools.
These services are used by enterprises that need multi-tool integration across monitoring, ITSM, CMDB, and cloud operations while preserving audit traceability and controlled operator access. Tata Consultancy Services and Infosys commonly fit teams that need API-driven runbook orchestration tied to ITSM lifecycle controls and governance artifacts.
Evaluation criteria for integration, schemas, automation APIs, and governance controls
Integration depth determines whether telemetry, tickets, and CMDB entities can be normalized into a consistent workflow graph instead of manual glue code. Providers such as Wipro and NTT DATA emphasize schema-normalized telemetry and defined integration-ready workflows across monitoring and incident tooling.
Data model discipline determines whether provisioning, incident response, and change execution can share identifiers and semantics across ITSM and operations domains. Accenture and IBM Consulting stand out for operational data modeling and governed automation orchestration tied to RBAC and audit logs.
Operational data model that links incidents, assets, and change records
Accenture connects incidents, CMDB entities, and change records into a governed operational data model so automation can run deterministically across records. Capgemini and IBM Consulting also emphasize inventory-to-service mapping and schema alignment to reduce drift across operational systems.
Integration depth across monitoring, ITSM, CMDB, and provisioning workflows
IBM Consulting and Tata Consultancy Services prioritize integration across monitoring, incident workflows, and provisioning so events map to actions through documented interfaces. Infosys and DXC Technology focus on connecting operational workflows into service management and monitoring systems through repeatable process bindings.
Documented API and extensibility surface for automation and orchestration
Accenture and IBM Consulting deliver API-backed extensibility for custom orchestration so teams can add controlled automation steps without breaking governance. Tata Consultancy Services and DXC Technology provide automation hooks through documented APIs that target provisioning and configuration management workflows.
Event-to-action runbook automation with audit-traceable execution controls
Tata Consultancy Services and Tech Mahindra execute runbook automation tied to ITSM workflows so incident lifecycle steps stay consistent under governance. Accenture also routes telemetry to runbooks and escalation paths with audit traceability for deterministic execution.
Admin and governance controls with RBAC plus audit logs for traceability
IBM Consulting and Infosys pair RBAC access boundaries with audit log oriented operations so admin actions and configuration changes remain traceable. Capgemini and DXC Technology use RBAC and audit logging for runbook and configuration change tracking.
Schema and taxonomy alignment plan for heterogeneous tooling
Wipro focuses on schema mapping and telemetry normalization across monitoring and incident systems to support consistent throughput and error handling behavior. Tata Consultancy Services, Infosys, and Infosys also require event and asset schema alignment to enable reliable event taxonomy and action mapping.
Decision framework for selecting IT operations services with controllable automation
Start with integration and data model requirements and then validate whether the provider’s automation and API surface can follow those semantics end to end. Accenture and IBM Consulting are strong options when multi-tool orchestration must remain governed using a shared operational record structure.
Then validate governance depth by inspecting how RBAC and audit logs tie to runbook execution and configuration changes. Infosys and Capgemini align admin controls with audit-ready operations so operator actions remain reviewable.
Map the target workflows to the operational data model records
Define which automation decisions must be deterministic across incidents, assets, services, and change records before evaluating automation. Accenture fits when deterministic automation requires a data model that links incidents to CMDB entities and change records.
Validate end-to-end integration across telemetry, ITSM, CMDB, and provisioning
Confirm the provider can connect monitoring events to ITSM incident and request handling and then to provisioning actions through integration interfaces. IBM Consulting and Tata Consultancy Services emphasize integration depth across monitoring, ITSM, and provisioning workflows with API-driven orchestration.
Inspect the automation and API extensibility surface for runbook customization
Request a concrete view of how runbooks execute and where teams can add custom steps through documented APIs. Accenture and IBM Consulting prioritize API-backed extensibility for custom orchestration steps, while Tech Mahindra ties managed runbook automation to ITSM workflow governance.
Test governance wiring by tracing RBAC and audit logs to actions
Check whether RBAC controls and audit logs cover operator actions and configuration changes that affect runbook execution. Infosys and Capgemini emphasize RBAC plus audit log traceability for changes and runbook actions, and DXC Technology uses RBAC and admin audit logging for operational and configuration actions.
Plan for schema and taxonomy alignment timelines and ownership
Assign clear ownership for schema mapping and event taxonomy alignment because multiple providers cite mapping effort as a real onboarding variable. Wipro provides schema-normalized telemetry integration patterns, while Tata Consultancy Services and Infosys rely on event and asset schema alignment for consistent automation.
Which organizations benefit from governed IT operations services
Enterprises needing governed automation across multiple operational tools typically need providers with explicit data models, RBAC, and audit-ready control paths. Accenture and IBM Consulting match teams that require deterministic automation across incidents, assets, and change records.
Teams with high tool heterogeneity and schema mismatch risk should prefer providers that explicitly handle telemetry normalization and adapter-based orchestration. Wipro and Tata Consultancy Services fit this model when integration breadth and governance are both required.
Large enterprises requiring deterministic automation across ITSM, CMDB, and change records
Accenture fits because its operational data modeling links incidents, CMDB entities, and change records for deterministic automation. Capgemini also supports inventory-to-service mapping reconciliation with RBAC and audit logs for governance.
Hybrid-platform teams that need API-driven orchestration with RBAC and audit logging
IBM Consulting is a fit when governed automation must span hybrid monitoring, ITSM, and provisioning using an explicit data model and documented API extensibility. NTT DATA also fits for RBAC and audit log controls paired with integration-ready operational workflows.
Organizations standardizing incident lifecycle execution around ITSM-runbook automation
Tata Consultancy Services fits because it performs API-driven runbook orchestration tied to ITSM workflows with audit-traceable execution controls. Tech Mahindra fits teams that need managed runbook automation tied to incident lifecycle governance.
Enterprises that must normalize telemetry across heterogeneous monitoring and incident tooling
Wipro fits because its delivery emphasizes schema mapping and telemetry normalization to support consistent automation throughput and error handling behavior. Infosys fits teams that need RBAC controls and audit logs for change traceability across many operational systems.
Pitfalls when procuring IT operations services with complex integration and governance
Common procurement mistakes come from treating integration as a generic interface task instead of a data model and governance task. Multiple providers call out schema alignment and event taxonomy mapping as sources of onboarding lead time when tooling lacks clean data contracts.
Another recurring pitfall is validating automation success by workflow outcomes only and not validating RBAC coverage and audit traceability for runbook execution and configuration changes. Providers such as IBM Consulting and DXC Technology avoid this failure mode by centering governance artifacts in admin operations and audit logs.
Assuming automation will work without explicit schema and taxonomy alignment ownership
Tata Consultancy Services and Infosys both highlight that event and asset schema alignment can require significant upfront mapping effort for reliable event-to-action orchestration. Wipro mitigates this with schema mapping and telemetry normalization patterns across monitoring and incident tooling.
Evaluating extensibility only by the number of connectors instead of the automation API surface
Accenture and IBM Consulting focus on API-backed extensibility for custom orchestration steps, so extensibility is governed rather than ad hoc. Atos and NTT DATA present extensibility as dependent on how source systems expose orchestration hooks, so extensibility validation must include API surface expectations.
Ignoring RBAC and audit log wiring for admin actions that affect runbook outcomes
Capgemini and Infosys emphasize RBAC plus audit logs for runbook and configuration change tracking, so governance can be traced end to end. DXC Technology also centers RBAC and admin audit logging for operational and configuration actions, which prevents untracked operator changes.
Selecting a provider without a clear data model linkage between incidents, assets, and change records
Accenture is strongest when automation requires linkage across incidents, CMDB entities, and change records for deterministic decisions. Providers like Tech Mahindra and Atos deliver runbook-based execution tied to governance artifacts, so validation must still include how records connect to ITSM lifecycle data.
How We Selected and Ranked These Providers
We evaluated Accenture, IBM Consulting, Tata Consultancy Services, Infosys, Capgemini, Wipro, NTT DATA, Tech Mahindra, DXC Technology, and Atos on capabilities, ease of use, and value, then produced overall ratings from those three criteria with capabilities carrying the most weight because integration depth, data model, and automation control determine day-to-day operating outcomes. We rated capabilities highest for providers that described an explicit operational data model, documented API-driven automation, and governance controls tied to audit logs and RBAC.
Accenture separated from lower-ranked providers because it specifically emphasized operational data modeling that links incidents, CMDB entities, and change records for deterministic automation, and that capability reinforced both the integration depth and the governance traceability factors that carry the largest impact on the scoring.
Frequently Asked Questions About It Operations Services
How do IT operations services typically integrate monitoring, incident, and provisioning workflows?
What role do APIs and extensibility play in runbook automation?
How do service providers handle SSO and security controls for operations access?
What controls prevent unauthorized changes to runbooks, configurations, and workflow definitions?
How do services approach data migration and mapping into an operational data model?
How should teams evaluate delivery onboarding when multiple operations tools must be connected?
Which provider model fits enterprises that need deterministic automation across incidents, CMDB entities, and change records?
What integration problems are common during implementation, and how do providers mitigate them?
How do teams measure extensibility readiness before committing to a runbook automation rollout?
Conclusion
After evaluating 10 business process outsourcing, Accenture stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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