Data-to-Dashboard

Your manufacturing data,
converted to insights within 4 weeks.

Connect fragmented business data into a self-service dashboard built around the way your company measures performance. Add optional predictive or conversational analytics layers to answer deeper questions.

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data-to-dashboard-title

Siloed Systems Create Reporting Gaps

Your ERP tracks production. Your CRM holds customer data. Finance runs reports in spreadsheets. Operations uses another dashboard entirely.

So when someone asks a simple question: What’s slowing production? Which products are losing margin? Where is inventory getting stuck? The answer often takes hours of exports, reconciliations, and manual checks. Those costs cut into your profit margins.

systems integration
systems integration
85% of business leaders
lost money to decisions made on outdated data
discovery
discovery
43% of leaders
call data quality their top problem to fix
90% of businesses
risk falling behind without real-time visibility

To Prevent Silos,
Connect Systems You Already Run

We help you select, prepare, and connect the data required for a defined decision area, then deliver a self-service dashboard built around your reporting logic and business metrics.

Your team gets a shared view of performance without replacing the systems already running the business.

http://BI%20and%20Data

Faster Access To Insights

Off-the-shelf BI rollout takes several months and a dedicated engineer. Data-to-Dashboard gives you access to the first dashboard in 4 weeks, subject to source access, data quality, and agreed scope.

Track Metrics That Matter

Design your view around numbers that matter to you. Every dashboard is fit with your definitions of production, margin, quality, and inventory.
http://dedicated%20team

Give Every Role The Right View

Enjoy a selection of role-specific views with appropriate confidentiality controls. Minimize compliance issues around privacy and security risks.
http://professionalism

Own Your Decision Intelligence

Run the analytics in your environment with full ownership over the system. Provide people with self-service access to data they need without complex querying.
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http://BI%20and%20Data

Faster Access To Insights

Off-the-shelf BI rollout takes several months and a dedicated engineer. Data-to-Dashboard gives you access to the first dashboard in 4 weeks, subject to source access, data quality, and agreed scope.

Track Metrics That Matter

Design your view around numbers that matter to you. Every dashboard is fit with your definitions of production, margin, quality, and inventory.
http://dedicated%20team

Give Every Role The Right View

Enjoy a selection of role-specific views with appropriate confidentiality controls. Minimize compliance issues around privacy and security risks.
http://professionalism

Own Your Decision Intelligence

Run the analytics in your environment with full ownership over the system. Provide people with self-service access to data they need without complex querying.
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Problems Solved With Data-to-Dashboard

Overreliance on spreadsheets for production planning
Sales and production data silos across internal and external systems
Limited visibility into downtime and production bottlenecks
Forecasting based on outdated sales and inventory data
Poor visibility into product, batch, or SKU profitability
Limited traceability across batches, lots, and finished goods
Difficulties with matching material availability to production requirements
Manual tracking of supplier and distributor delays
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Data-to-Dashboard Is Built for Your Technology Stack

Choose where to run your product: cloud, hybrid, or on-premises, with no restrictions. Data-to-Dashboard is a fully tech-agnostic solution: we adapt it to the systems you already run.

warehouse
WHAT YOU OWN
WHAT IT GIVES YOU
Source code + documentation
Lower exit risk
Connectors + custom data models
Greater scalability & flexibility
Infrastructure configuration
Data sovereignty
Permissions + access controls
Stronger governance & simpler compliance
No platform subscription
Predictable long-term costs

See Our Data Engineering in Action

A look at how we build data platforms for clients. The same engineering runs Data-to-Dashboard.

How It Works

Data-to-Dashboard combines architecture assessment, data integration, and dashboard delivery in one service.

Our four-stage implementation approach
01
Scope definition

We agree on the business questions, metrics, data sources, users, and delivery priorities before development begins.

02
Environment assessment

Our team reviews your current architecture, data source quality, access constraints, reporting logic, and infrastructure requirements.

03
Data pipeline development

Selected data gets cleansed and transformed for analytics. We build custom connectors and pipelines to support new data flows.

04
Dashboard delivery

Dashboard with role-specific views and selected reporting features is deployed in your environment with proper access and security controls.

Implementation Scope

Each engagement is shaped around a defined decision area, reporting need, or operational priority.

Core implementation

Business metric selection and alignment
Data-source assessment
Pipeline design and implementation
Deployment infrastructure setup
Permissions and access controls
Documentation and training
Data architecture audit
Data preparation and cleansing
Standard or custom connectors
Dashboard development
Deployment and handover

Add-on capabilities

Natural-language data access
Advanced data exports
Data migration
Predictive analytics
Additional data domains
Ad hoc managed support work

Want to see it in practice? We’ll show a working dashboard built around the metrics you track.

Decide What Your First Dashboard Should Answer

Start with the questions your teams need answered, rather than the limits of a prebuilt BI view. Combine data from any relevant domain and build views around the metrics your teams need the most.

Metrics manufacturers can collect with Data-to-Dashboard:

 

http://hi-tech
Operations Performance
  • OEE and downtime
  • Throughput and cycle time
  • Scrap, yield, and rework
  • Maintenance performance
  • Energy consumption per unit

 

Finance and Profitability
  • Standard versus actual cost
  • Product or SKU profitability
  • Customer contribution margin
  • Plant and material variance
  • Working capital and inventory days

 

http://ecommerce
Sales and Commercial Insights
  • Revenue, volume, price, and mix
  • Order intake and backlog
  • Customer or channel margin
  • Discount leakage
  • Forecast accuracy

 

Supply Chain Performance
  • Inventory availability
  • Supplier performance
  • OTIF and fill rate
  • Shelf-life or obsolescence risk
  • Logistics cost and plan adherence
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Scale To New Use Cases

Add deeper analytics on the same foundation. Extend your environment with conversational access to data, predictive models, automated alerts, or AI-ready data preparation as your reporting needs evolve.

Conversational analytics
Predictive modeling
Automated alerts
AI-ready data foundation

More Control Than a SaaS BI Platform.
Deeper Support Than Ad-hoc Data Consulting

Get the flexibility of custom analytics without an open-ended consulting engagement or a permanent platform subscription. Data-to-Dashboard gives you a defined implementation, faster delivery, and full ownership of the deployed solution.

Data-to-Dashboard
Managed analytics platforms
Traditional BI consultancies
Deployment
Your infrastructure
Vendor-hosted
Depends on engagement
Reporting experience
Your metrics and logic
Standard data model
Custom, often open-ended
Data model flexibility
Any reporting views your data supports
Constrained by predefined schemas
Flexible, scope-dependent
Time to first value
4 to 6 weeks
8 to 16 weeks
4 to 12 weeks
Scalability
On-demand work packages
Subscription expansion
Additional phases
Handover
Full handover included
Vendor keeps the platform
Varies by contract
Advanced analytics path
ML and chat on the same foundation
Depends on roadmap and tier
Separate projects
Exit flexibility
You own everything
Complex migration out
Depends on contract terms
Best starting point
One bounded decision area
Standardized use cases
Broad transformation programs

See Data-to-Dashboard in Action

Is Data-to-Dashboard
The Right Fit for My Business?

Data-to-Dashboard is built for mid-sized manufacturers that need faster answers from existing systems, without adding another rigid analytics platform.

You are a strong fit if you:

  • Operate across several systems, sites, teams, or data sources
  • Depend on Excel or manual exports for recurring reporting
  • Struggle to align KPI definitions across departments
  • Want custom analytics without adopting another managed SaaS platform
  • Prefer deployment in your own cloud or on-premise environment
  • Can identify one decision area with clear operating value

Typical starting environments

  • ERP, CRM, and finance tools
  • Multiple sales intelligence and order platforms
  • Production, quality, maintenance, or inventory systems
  • POS, eCommerce, or order-management platforms
  • TMS, WMS, fleet, or delivery system

What to expect before implementation:

  • If a standard SaaS connector already covers your reporting, Data-to-Dashboard may be more than you need
  • Messy or scattered data sources may need a preparation stage first. We assess this during discovery
  • An undefined decision area gets scoped together before the build starts

Drop Us a Line
About Your Project

Submit the form or write to us directly. Within one business day you’ll hear from someone who works on Data-to-Dashboard implementations. Tell us which decision area you’d start with, and we’ll come back with questions worth discussing.

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    Seth Krauss
    CTO and Partner, KPC Labs
    Edvantis has been instrumental in most of our key deliverables for the past decade and are the only vendor that has established themselves as a strategic partner.
    Trusted by manufacturers

    FAQs about Data-to-Dashboard

    Will it be compatible with our existing ERP, MES, BI tool, or custom system?

    Yes. We design each Data-to-Dashboard to slot with your existing stack, using standard or custom connectors where needed. Plus, we help with data transformation to ensure proper data loading and correct rendering on analytics dashboards.

    What if our data is messy or incomplete?

    No problems. We always run a data audit first to assess the data quality. Then clean, transform, and prepare the sources needed for the agreed dashboard scope before development moves ahead.

    Can we add new data domains, forecasting, or predictive analytics later?

    Absolutely. The scope of the first deployment is focused on one use case, so you get value faster. But the same foundation can be extended later with new data sources, additional dashboards for extra roles or plant sites, forecasting, predictive models, alerts, or conversational analytics.

    How customizable are the metrics and dashboard views?

    The metrics and views are for you to select. We create each dashboard around your metric definitions, reporting logic, user roles, and decision needs rather than forcing you into a fixed data model.

    What happens after the first dashboard goes live?

    We’ll demo the product to you and provide user training if needed. From there, you can keep the first scope as-is or expand it. Additional data domains, dashboards, forecasting, predictive models, and conversational analytics can be added through follow-on work packages.

    How is Data-to-Dashboard different from Power BI or Tableau?

    Power BI and Tableau are BI tools: someone still has to connect the data, model it, and build the reporting on top. Data-to-Dashboard is that work, productized. We connect your data, apply your business logic, build the reporting layer, deploy it in your environment, and hand over the finished solution. Most of the value is in the data foundation underneath, so if you already use Power BI or another BI tool, we can build the foundation and deliver the dashboards in it.

    How is the engagement different from a traditional BI consultancy?

    You get a more predictable outcome within a fixed timeline. The first engagement follows a defined delivery process, agreed scope, and clear timeline, while still leaving room to customize the data model, metrics, and dashboard around your business.

    How is Data-to-Dashboard priced?

    Pricing depends on the number of data sources, the scope of the first dashboard, and the deployment environment. After the scoping call you get a fixed quote for the agreed scope, with any third-party licensing or cloud costs identified separately, so there are no hidden fees.

    What third-party software or cloud costs should we expect?

    That depends on the stack you choose. Any licensing, infrastructure, or usage-based costs are identified during solution design and kept visible from the start, so you know what sits outside the Edvantis implementation fee.

    Can I get a personalized demo before committing?

    Yes! We’ll be delighted to walk you through a dashboard tailored around your business metrics and use case, so you can see how Data-to-Dashboard would work. You can book a demo meeting via the form above.