Source system and metric inventory
Source system and metric inventory is considered against your goals, existing systems, timeline and agreed deliverables.
DATA & ANALYTICS
Operational Analytics.
Newly Connects provides operational analytics to help your business address specific technical needs within a clear, agreed scope. Bring scattered business data into a dependable foundation for reporting and decisions. Define meaningful measures, improve source quality, and make insights accessible to the people who need them.
Discuss your requirements ↗☎ Call 223 369 5352THE CONNECTED APPROACH
Operational Analytics
Your peopleYour processesYour systems
Bring scattered business data into a dependable foundation for reporting and decisions.
A PRACTICAL START
Bring scattered business data into a dependable foundation for reporting and decisions.
Start with the outcome you need from operational analytics. We work with your team to identify the current constraints, the users affected, and the information required to make a sound implementation decision.
The scope can cover a new initiative, an improvement to an existing environment, or specialist support within a wider program. Deliverables, responsibilities, acceptance criteria, and support expectations are agreed before implementation.
Explore our delivery process →DESIGN & ENGINEERING
Operational Analytics in a connected delivery model.
Every engagement starts with the real workflows, users and systems involved. We translate the requirements into practical design decisions, an implementation roadmap, clear acceptance criteria and a maintainable handover.
- Discover current workflows and business rules
- Prototype the experience and information architecture
- Integrate data and connected systems
- Test, launch and improve in reviewable stages
WHAT THIS SERVICE INCLUDES
Operational Analytics offerings
Explore what a operational analytics engagement can include, from the initial business problem and user needs to the implementation plan, testing and a supportable release. The scope below is illustrative and tailored to each project.
Data ingestion and validation
Data ingestion and validation is considered against your goals, existing systems, timeline and agreed deliverables.
Reporting model and KPI definitions
Reporting model and KPI definitions is considered against your goals, existing systems, timeline and agreed deliverables.
Interactive dashboards and alerts
Interactive dashboards and alerts is considered against your goals, existing systems, timeline and agreed deliverables.
Governance and refresh monitoring
Governance and refresh monitoring is considered against your goals, existing systems, timeline and agreed deliverables.
EXAMPLE PRODUCT EXPERIENCE
See how operational analytics can be structured.
This locally hosted interface illustration is a concept, not a claim about an actual customer project. The final screens, workflows and metrics depend on the project brief.
- Defined users, roles and permissions
- Clear workflows and accountable handoffs
- Reviewable progress and quality checks
- Measurable, maintainable deliverables
SERVICE-SPECIFIC ROADMAP
Our operational analytics process
A practical five-stage workflow adjusted to your objectives, team and delivery model.
Define reporting questions
Identify the users, success criteria, constraints and decision makers.
Audit sources and quality
Confirm the smallest useful scope and its dependencies.
Build data transformations
Review tangible designs and decisions with stakeholders.
Design dashboard experience
Verify quality, accessibility, integration and acceptance criteria.
Validate and operationalize
Document the handover, measure results and agree next priorities.
WHAT WE CAN SCOPE
Capabilities for your requirements.
Choose the elements that fit your project. The final scope is defined during discovery.
01
Operational Analytics requirements workshop
02
Operational Analytics implementation roadmap
03
Existing system and dependency review
04
Access and data handling requirements
05
Acceptance criteria and validation
06
Documentation and handover
FROM DISCOVERY TO HANDOVER
A clear route to delivery.
01
Source and data-quality assessment
Define the objectives, constraints, and evidence needed to move forward.
02
Data modeling and pipelines
Translate agreed priorities into specific deliverables and acceptance criteria.
03
Dashboards and analytical models
Review work in stages, record decisions, and validate against the agreed scope.
04
Ownership and governance
Provide the agreed documentation, operating guidance, and next-step recommendations.
YOUR QUESTIONS
Before we begin.
What do you need to start a operational analytics project?
A short description of your goal, the systems involved, any known constraints, and your preferred timeline. Existing documentation or sample workflows help us define the next step.
Can you work with our existing systems?
We begin by reviewing the current architecture, interfaces, permissions, and data requirements. Integration feasibility and any platform limitations are addressed in the proposed scope.
How are cost and timing determined?
The estimate depends on complexity, integrations, data preparation, review needs, and delivery responsibilities. You receive a proposed scope and engagement model before work begins.
What happens after delivery?
Documentation, training, warranty terms, maintenance, and operational support are defined in the engagement. We can discuss a separate support arrangement where needed.