Operational Control & Reporting

Built-in functions enable companies of every size to manage development and execution of automated data flows.

Key Benefits

rgOne™ offers full dev ops and reporting capabilities, so IT managers can test, QA and have confidence in enhancements before introducing them to production environments and lifecycle data management.

Cost-Efficient Control.

Simplify administration and reduce costs by managing development and execution environments from a central point of control.

Enterprise Configuration.

Make data available all across your org, to every team and department, and support distinct brands under your master company umbrella.

Actionable Insights.

Monitor KPIs and other critical insights & data on every campaign, audience segment and customer interaction.

Key Highlights: Operational Control

Role-based Interactions & Visibility

Establish role-based interactions and configure permissions to restrict what users can do (such as export data) and see (such as PII data) in your specific environment.

  • Use native authentication and authorization to associate users with appropriate permissions
  • Extend controls to automated applications and interactions with services authorization
  • Complete audit trails for tracing activities and usage
  • Integration with password vaults such as AWS Key Manager and Azure Key Vault, to comply with enterprise security requirements.

Controlled Rollout

Easily manage data flows and automations via rgOne’s integrated version control solutions, with multiple capabilities.

  • Rollbacks to earlier versions
  • Track users, update time, comments and notes
  • Store and manage configurations in tools such as Git

Scalability Controls & Cluster Management

Redpoint software can run in a centrally controlled environment with numerous processing nodes executing jobs at the same time.

  • Operation within native clusters and Hadoop environments
  • Native scalability using scaling technologies such as Kubernetes
  • Private or public cloud, or hybrid
  • Controlled parallelization means increased performance and reduced latency

Execution Monitoring & Logging

Administrators and operators can monitor all jobs to determine both overall progress and the actions of specific steps. This is done with an intuitive management dashboard or programmatically, via a full-scale web API.

Developers and operators can even drill down to the specific working load of each component in a job for monitoring and optimization. Among other things, this may include monitoring:

  • Resource usage (CPU, memory and disk)
  • System connectivity and integrations
  • Data performance: How much data is going through system? What’s the latency? And more.

Scheduled & Event-Based Actions

With rgOne, company administrators can update customer records and other data at the speed at which changes occur and customer actions are taken.

  • Flexible scheduling for any data activity
  • Event triggered dataflows and actions
  • Easily handle streaming and internet of things (IoT) data

Key Highlights: Reporting

Operational Reports

  • Track records that are read or processed by various steps and then are written to various outputs, including database load counts, non-processed record counts, and more
  • Quickly track operational and performance status of the platform, as nodes go up and down, as well as CPU, memory, disk usage, and connectivity

Data Quality & Data Content Reports

  • Build unique reports for things like data hygiene (on address quality and address component reports) or customer data integration (for match quality, match by source, or duplication)
  • Track trends in quality from multiple sources over defined time periods
  • Aggregate and summarize functions (such as the number of records by source or by criteria, or min-max values) that can be written to reports, or out to databases data files, or merged back into data processing streams
  • Create reports based on definable layouts and configurations, with support for concatenated or nested reports to create complex summaries of data at all phases, from initial input to final output

Data Content Reports

  • Aggregate and summarize functions (such as the number of records by source or by criteria, or min-max values) that can be written to reports, or out to databases data files, or merged back into data processing streams
  • Create reports based on definable layouts and configurations, with support for concatenated or nested reports to create complex summaries of data at all phases, from initial input to final output

Business Intelligence Tools

Support your choice of enterprise business intelligence (BI) platforms with automated table generation based on status changes and monitoring

Related Solutions

Get Started on Getting Ahead

Schedule a conversation and learn how Redpoint can put your goals within reach.

Get Started on Getting Ahead

Schedule a conversation and learn how Redpoint can put your goals within reach.