Cuneiform® enables users to monitor data quality metrics, identify high-impact exceptions, and perform faster root-cause analysis across internal and external datasets in real-time.
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Business Data Metrics
Workflow-based metrics across quality dimensions
02
Business Workflow Lineage™
End-to-end visibility for faster root-cause analysis
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Machine-Generated Code For Business Rules Creation
Self-serve, exception grouping, and management
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Customizable Dashboards and Reports
Visualization and analytics, business-value impact scorecards
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Flexible Integration
Extensive integration with 3rd-party enterprise tools
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Cloud-based, Scalable, and Secure
Ready to deploy, enterprise-scale and security
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Cuneiform® enables users to monitor data quality metrics, identify high-impact exceptions, and perform faster root-cause analysis across internal and external datasets in real-time.
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Cuneiform® for CRM is a business data quality application that enables CRM Admins, data stewards, and implementation teams to rapidly assess and quantify data quality challenges and business risks to prioritize and direct improvement efforts effectively.
Cuneiform Data Quality Monitoring enables firms to rapidly define and deploy data quality rules and controls across their workflows, applications, and systems by ensuring that data is always correct, consistent, complete, and timely.
Cuneiform Reconciliation tool enables firms to efficiently perform multilateral reconciliation, exception management, and root-cause analysis to save time and money.
Cuneiform Client Onboarding monitors data quality issues in real-time to help firms migrate client data quickly, effectively, and accurately every time.
Frequently Asked Questions
Need more info?
What is a data quality scorecard?
Data quality scorecards provide a mechanism to objectively measure data quality across the four dimensions of correctness, completeness, consistency, and timeliness. The Cuneiform Platform offers individual data quality scorecards at the initial event, dataset, workflow, and business transaction levels. Firms can zoom in and out of various events or data points, producing data quality scorecards even at a micro scale.
What is Business Workflow Lineage?
PeerNova’s real-time Business Workflow Lineage provides end-to-end traceability of transactional workflows. It is a graph that represents how a logical group of business events are connected to each other within a specific business context. Our customers use Business Workflow Lineage to quickly identify root cause analysis of data quality issues.
What are business value impact metrics?
Business value impact metrics provide insights into the material impact of data quality issues and allows for value-driven prioritization of data quality efforts and fixes. It answers the question: what is the monetary impact of data quality issues in my workflow? This metric, combined with exceptions prioritized by business value, enable teams to focus on resolving data quality exceptions that have the most business impact.
What does self-serve, zero-code mean?
Cuneiform allows business users to deploy business rules and workflows using an intuitive drag-and-drop interface without needing to write code.
How is Cuneiform able to handle complex rules without requiring users to write code?
Cuneiform’s easy-to-use drag-and-drop Rules Builder enables business users to define complex data quality rules. Business users can define business-contextual rules like fan-ins/fan-outs (for compressions, and allocations) and compose reusable rule definitions. Convenient string and math functions, conditional expressions and aggregation functions can all be defined using the drag-and-drop interface.
All of the above is made possible by a powerful backend processing engine that has two parts: <1> When a user defines a new rule, the user interface creates a new rule definition using a YAML-like declarative grammar. <2> A transpiler then automatically converts the YAML-like syntax into Java code. When the rule is executed, the Java code is executed by the Spark-based execution layer.
How does Cuneiform protect a customer’s data and privacy?
The security and privacy of our customer’s data are of paramount importance to us. The Cuneiform Platform is designed from the ground up to protect mission-critical customer data. All customers’ data is stored within their dedicated Cuneiform instance and is completely isolated from any other customers’ data. Cuneiform provides data encryption, both at-rest, and in-transit. Flexible and robust authentication and authorization mechanisms ensure controlled access to data.
In addition to data isolation, customers also benefit from the complete host and network isolation due to our single-tenant model, wherein a customers’ Cuneiform instance is provisioned on a dedicated server cluster with its own subnet, separate from other customers’ Cuneiform instances.
A Web Application Firewall (WAF) protects traffic to a customers’ Cuneiform instance against bot traffic and blocks common attack patterns, such as SQL injection or cross-site scripting. Key Management Systems (KMS), Privileged Access Management (PAM) systems securely store keys used within Cuneiform. Application and service monitoring and secure logging provide complete accountability.
What is the deployment model?
Cuneiform is a Software-as-a-Service (SaaS) hosted in the cloud. This means our customers do not have to worry about provisioning infrastructure (servers, storage, networking) or software installation and maintenance. Cuneiform instances are automatically provisioned for you in PeerNova’s secure cloud and all OS and application software upgrades and patches are applied behind the scenes with minimal downtime and zero IT involvement from customers.
Can Cuneiform easily integrate with my existing infrastructure?
With the enterprise package, the platform seamlessly integrates with existing infrastructure (such as workflow/ticketing tools, visualization tools, identity management systems, and more).
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Data is one of the most valuable assets a financial institution can have; however, its existence alone does not guarantee success. Data is only as valuable as the business processes, decisions, and interactions it enables.
