Our Process for Unified Metrics
How We Turn Data into Impact
Transform scattered data and unstructured reports into actionable, unified business metrics that drive performance.
Discover how our proven process delivers clarity, alignment, and measurable results.
Discover our Metrics Accelerator Program
Designed to help your organization gain clarity and precision, our Metrics Accelerator Program turns fragmented data into unified metrics using custom data marts.
What Are Data Marts?
Data Marts are specialized repositories that focus on specific areas of interest within your organization. Organized within broader data domains, they consolidate information from multiple sources into a streamlined, accessible structure. By storing only the most relevant data for specific user groups, data marts make analysis efficient, insightful, and impactful.
Our Process
Our approach ensures seamless alignment with your business objectives through a structured, two-stage process:
Step 1:
Perform a Metrics Audit
What we do?
We evaluate your existing metrics, identify gaps, and define the desired outcome of our collaboration. To validate our key learnings, we run a Minimum Viable Product (MVP).
Step 2:
Create a Roadmap
What we do?
We translate the benchmark into a detailed roadmap, outlining the resources, IT infrastructure, and steps required to achieve your data goals.
Step 3:
Release Metrics & Reports
What we do?
Through iterative sprints, our analysts develop the agreed-upon data metrics and reports. We validate the outputs, align them with stakeholders, and onboard your teams.
Step 4:
Operationalize and Support
What we do?
We transition the developed marts and reports to operations, ensuring they are run, monitored, and supported seamlessly.
Outcomes:
- Identification of metrics gaps
- A catalog of required data metrics
- A maturity score of your data landscape
- A functional MVP to demonstrate value
Outcomes:
- A comprehensive data marts roadmap
- Identification of domain owners
- A resource plan for successful execution
- Infrastructure review and recommendations
Outcomes:
- Unified metrics
- Standardized reports ready for use
- Aligned outputs with organizational needs
- Onboarded users, prepared to leverage the new insights
Outcomes:
- Handover to operational teams
- Continued technical and strategic support
- Reliable, scalable systems to power ongoing insights
- Comprehensive training and documentation.
Why Our Process Works
Our methodology has been tested over many years and use cases, and it works thanks to these key pillars:
Standards
We have data marts building blocks in domains such as sales, purchasing, inventory, and production, ensuring we move faster and avoid asking basic questions.
Cross-Functional
Our teams are cross-functional and can work with both IT and business at the same time.
Outcome Based
We are focused on the outcome, which is unified metrics for your business, and not on consuming development days.
Frequently Asked Questions
What is the typical timeline from initial assessment to project kick-off?
- Planning Phase: Typically takes 8-12 weeks, depending on schedules.
- Execution Phase: Ranges from 6 to 24 months, depending on the approved scope and complexity.
How much involvement is required from my team?
- Planning Phase: Approximately 20 hours per involved executive over the 8-12 weeks.
- Execution Phase:
- ~2 hours per week per data owner
- ~2 hours per week per subject-matter expert
- ~2 hours per week for the steering committee
When can we expect to see the first data marts and reports?
We deliver a Minimum Viable Product (MVP) during the first step of the planning phase. This means the initial outcomes can be seen from 3 to 12 weeks after the collaboration kick-off.
Who from my team should be involved in the project?
The specific stakeholders depend on your needs, organizational structure, and the project’s scope but generally include:
- Executives to provide strategic direction
- Data owners to ensure access and alignment
- Subject-matter experts (SMEs) for domain-specific insights
- Steering committee members for oversights and decision-making
What industries and domains does dyvenia specialize in?
We work with organizations from various industries. However, we specialize in manufacturing, with expertise in finance, performance management, and sales and operations.
Does my organization need a certain level of data maturity to work with dyvenia?
No. Our solutions are tailored to meet you where you are and help elevate your data maturity, whether you’re just beginning or refining your approach.
Can you integrate with our existing tools and technology stack?
Yes. We design our solutions to seamlessly fit into any architecture and tech stack, ensuring compatibility and minimal disruption to your workflows.
Can we engage with dyvenia only for Phase 1 of the process?
Yes. You can choose to work with us only on the planning phase, where we focus on auditioning your metrics, identifying gaps, creating a tailored roadmap, and delivering an MVP. This phase itself delivers valuable insights and a clear action plan, whether or not you proceed to the execution phase with us.
