Keep Data and Analytics Working for the Business.
Support the pipelines, platforms and reporting environments that turn enterprise data into usable information.
What Is Managed Data & Analytics?
Managed Data & Analytics provides ongoing operational and enhancement support for data and analytics environments. Intelecox’s documented capabilities include data architecture, data modelling, MDM, data science, Tableau, Databricks and Data & BI/Analytics, supported by cloud and engineering skills.
Business Challenges We Address
- Operational ownership becomes unclear after implementation or transformation programs finish.
- Recurring incidents and service requests consume specialist engineering capacity.
- Technology environments continue to change and require ongoing enhancement, monitoring and support.
- Knowledge can be lost during transitions between project and operations teams.
- Organizations need flexible support capacity while retaining clear governance and accountability.
Our Capabilities
Six connected capabilities that align strategy, technology, processes and people.
01
Data Pipeline Support
Monitor and support agreed data flows, transformations and recurring engineering processes.
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02
Analytics & Reporting Support
Maintain and enhance dashboards, reports and analytical outputs within scope.
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03
Data Platform Support
Support relevant cloud/data-platform components and operational requirements.
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04
Data Quality Support
Investigate agreed data-quality issues and support corrective improvements.
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05
Enhancements
Deliver prioritized changes to pipelines, models, dashboards or analytical components.
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06
Operational Documentation
Maintain technical knowledge and support procedures as the data environment evolves.
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Practical Use Cases
Apply connected thinking to modernization, AI adoption and multi-platform transformation.
USE CASE 01
Analytics environment support
Maintain dashboards and reporting assets while addressing data and enhancement requests.
USE CASE 02
Data pipeline operations
Support recurring data integration and transformation processes used by business reporting.
USE CASE 03
Managed data enhancement
Provide ongoing capacity to extend data models, pipelines and analytics as requirements change.
What We Deliver
- Data/analytics transition plan
- Pipeline and platform operating procedures
- Reporting/dashboard support backlog
- Data issue and enhancement workflows
- Approved engineering or analytics changes
- Validation documentation
- Service and improvement reporting
Expected Business Outcomes
- Greater continuity for business reporting and analytics
- More structured support for recurring data issues
- Clearer ownership of data and analytics enhancements
- Better connection between data engineering and analytics operations
- A foundation for continuous improvement as information needs change
How Intelecox Delivers
01
Transition
Capture scope, dependencies, knowledge, responsibilities and operating requirements.
02
Operate
Provide agreed monitoring, support and recurring service activities.
03
Design
Define architecture, workflow, prompts or tasks, controls and human oversight.
04
Improve
Address recurring problems and prioritized enhancement opportunities.
05
Evolve
Adapt the service as supported technology and business requirements change.
Why Intelecox
End-to-End Data Capabilities
Intelecox documents Data & Analytics in its Professional Services Catalogue.
Data Engineering Expertise
The skill matrix includes Data Architect, Data Modelling, MDM, Data Science, Tableau and Azure Databricks.
Analytics & BI Skills
Cloud, API and data-engineering capabilities can support the systems feeding analytics environments.
Cloud-Connected Data Operations
Managed Services materials explicitly include data/analytics services.
Build the wider GenAI foundation
Connect strategy, engineering, integration, process redesign and data capabilities around the chosen use case.
Build an Organization Ready for Continuous Change
Strengthen delivery, enable people and embed improvement throughout transformation.