Executive Dashboard Development

When your leadership team's weekly decisions run on a PDF assembled manually on Monday morning, the data is already five days old.

Executive dashboards give leadership teams live operational visibility, the KPIs that determine whether the business is on track, updated automatically from source systems rather than assembled by an analyst on a schedule. The goal is not more data. It is fewer meetings spent debating whether the numbers are right and more time spent on what to do about them. RaftLabs builds executive dashboards on Power BI, Tableau, Metabase, or custom front ends, connected to a clean, agreed data layer so every metric on the dashboard has a single definition that every department accepts. From the first metric definition through data layer design, dashboard build, and deployment.

  • Live KPI dashboard updating automatically from source systems, no Monday morning manual assembly

  • Single agreed metric definitions so the CEO dashboard and the finance dashboard show the same revenue number

  • Drill-down from summary KPI to the underlying transactions that make up the number

  • Mobile-accessible dashboard so the leadership team can check the numbers without logging into a desktop tool

Recent outcomes

Voice AI · Research

6× deeper insights

Text-based interviews converted to automated phone calls

AI Automation · Ops

20k+ txns day one

Manual invoice OCR across 40+ gas stations

Loyalty · Retail

1,062 users in 4 weeks

SuperValu & Centra loyalty platform with receipt validation

SaaS · Logistics

2,000+ shipments yr 1

Multi-carrier shipping hub for Indonesian eCommerce

4.9
on Clutch
See our work

The problem

Sound familiar?

  • Does your leadership team spend the first 20 minutes of every review meeting debating whether the numbers on the screen are correct rather than discussing what to do about them?

  • When the CEO asks for a metric that's not on the standard dashboard, how long does it take someone to produce the number, and how confident are they that it's right?

Short answer

RaftLabs builds executive dashboards on Power BI, Tableau, Metabase, and custom front ends, with agreed metric definitions, drill-down, and mobile access for leadership. A first dashboard of your core KPIs launches in 6 to 10 weeks from around $12,000 to $30,000; multi-unit dashboards with drill-down across several source systems grow to $40,000 to $90,000 over 10 to 16 weeks.

Key takeaways

  • RaftLabs builds executive dashboards on Power BI, Tableau, Metabase, and custom front ends, at a fixed cost agreed before development starts.
  • A first dashboard covering your core KPIs launches in 6 to 10 weeks, from around $12,000 to $30,000.
  • Multi-unit dashboards with drill-down across several source systems grow to $40,000 to $90,000 over 10 to 16 weeks.
  • Single agreed metric definitions ensure the CEO dashboard and the finance dashboard show the same revenue number.
  • Drill-down lets leadership move from a summary KPI to the underlying transactions that make up the number.
  • Row-level security and SSO control who sees which view, so a regional manager sees their region and the board sees the consolidated picture.

Trusted by

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Executive dashboards exist to close the gap between when something happens in your company and when leadership finds out. A PDF assembled on Monday morning from data exported on Friday afternoon means every decision in that meeting rests on information already five days old. That is not a reporting process. It is a structural lag baked into every call your leadership team makes.

The alternative is a dashboard that pulls directly from source systems on a set schedule, applies agreed metric definitions, and shows the current state to whoever needs it. No manual assembly. No reconciling one team's version of a number against another's. The delay between when the numbers change and when leadership can act on them disappears.

The payoff is speed of decision. Firms that embed data and analytics into how they decide are far more likely to win customers and turn a profit than peers still running on last week's spreadsheet.

23x
more likely to acquire customers
Source: McKinsey Global Institute
19x
more likely to be profitable
Source: McKinsey Global Institute

Capabilities

What we build

  • 01
    KPI framework and metric definition

    A metric definition workshop with every department that has a stake in the numbers agrees the definition of each KPI before development begins. Each answer is documented and signed off by department heads, keeping executive dashboards to the 8 to 12 KPIs that make them useful rather than overwhelming.

    Built with
    SQL · Metric dictionary
  • 02
    Semantic layer and data connection

    A semantic layer sits between the dashboard and your source systems, your data warehouse, ERP, and CRM, applying each agreed metric definition once so every chart inherits the same logic. Refresh schedules are tiered per metric, and a data quality gate flags any metric that fails validation instead of showing leadership a wrong number.

    Built with
    dbt · SQL · Data warehouse · ERP · CRM
  • 03
    Executive KPI dashboard

    A summary dashboard presenting the KPIs that determine whether the business is on track. Every metric card shows current period, prior period, delta, and target, so leadership can see whether you are ahead or behind and by how much, with traffic light indicators surfacing what needs attention at a glance.

    Built with
    Power BI · Tableau · Metabase
  • 04
    Drill-down and decomposition

    Drill-down from a summary KPI to the breakdown behind it, by product line, region, and customer segment, revealing which dimensions drive the variance from target. Drill-through reaches the detail records themselves, so a churned customer count opens the list of churned customers with dates and prior MRR.

    Built with
    Star schema · Cross-filtering · Bookmarks
  • 05
    Mobile and cross-device access

    The dashboard is accessible on mobile and tablet without a separate build or second development cycle. The most critical 4 to 6 KPIs sit in a vertical card view designed for the 2-minute morning check, and for executives who prefer the inbox, a scheduled PDF snapshot lands at the start of the business day.

    Built with
    Power BI · Tableau · Metabase · Slack
  • 06
    Automated alerts and threshold monitoring

    Configurable threshold monitoring for each KPI with alerts, so no one has to check the dashboard to find out something went wrong. Thresholds can be absolute, percentage-of-target, week-over-week change, or consecutive-period breaches, and a calibration pass at the 30-day mark keeps alerts firing on genuine anomalies, not noise.

    Built with
    Slack · Teams · Email
  • 07
    Governance and access control

    Row-level security so a regional manager sees only their region while the board sees the consolidated view, tied to your existing SSO. Each metric definition is versioned, and an audit log records who changed a definition and when, so the numbers on the screen stay defensible when someone asks where they came from.

    Built with
    Row-level security · SSO · Audit log

Have an executive dashboard project?

Tell us the KPIs your leadership team reviews, which systems they live in, and how long it currently takes to assemble the weekly report. We'll scope it and give you a fixed cost.

What clients say

What our clients say

Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.

Charles E.
Charles E.
USA flagUSA
Entrepreneur at Aggie Technologies

All of the sprints were completed on schedule and on budget. We highly recommend RaftLabs!

Stay on topic

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Frequently asked questions

Metric definition is done in a structured workshop with representatives from each department that has a stake in the metric. The goal is to document and agree: what the metric measures (e.g., revenue means invoiced revenue, not order value or payment received), how it is calculated (including how edge cases are handled), and which data source is authoritative. Once agreed and documented, the metric definition is encoded into the data layer. Disagreements usually surface structural issues, different systems counting the same event differently, that the data layer must resolve rather than the dashboard.

Power BI is the right choice for organisations already in the Microsoft ecosystem (Azure, Office 365, MSSQL), it has native connectors, competitive pricing, and strong modelling capability. Tableau has the strongest visualisation flexibility for organisations with complex charting requirements. Metabase is the open-source option, lower cost, good self-service capability, works well for organisations with a SQL-literate team. A custom front end makes sense when the dashboard needs to be embedded in another product, branded to match your product, or built with interaction patterns that platform tools can't replicate. We recommend based on your infrastructure and team.

A first executive dashboard covering 8 to 12 core KPIs with agreed metric definitions and a clean data layer typically launches in 6 to 10 weeks. That first version validates the metric definitions with leadership before you expand it. A multi-unit version with drill-down across many dimensions and integration with 5 or more source systems typically takes 10 to 16 weeks. Timeline depends heavily on the state of the underlying data. A clean data warehouse is faster to build on than several disconnected systems with inconsistent definitions.

A first executive dashboard covering your core KPIs typically costs $12,000 to $30,000, agreed as a fixed price before development starts. A multi-unit dashboard with drill-down across several source systems, tiered refresh, and access governance typically runs $40,000 to $90,000. Most teams start with the first dashboard to prove the metric definitions, then expand coverage once leadership is acting on it daily.

Refresh frequency depends on the source systems and the metric. Financial metrics from an ERP typically refresh daily or at close of business. Operational metrics from a product database or CRM can refresh every 15 minutes or near-real-time with streaming connections. Most executive dashboards use a combination: financial and lagging indicators daily, operational and leading indicators more frequently. The refresh frequency for each metric is agreed during design based on how current the data needs to be for the decisions it supports.

Work with us

Tell us what you need. We'll tell you what it would take.

We scope Executive Dashboard Development in 30 minutes. You walk away with a clear cost, timeline, and approach. No commitment required.

  • Scope and cost agreed before work starts. No surprises. No obligation.
  • Working prototype within 3 weeks of kickoff.
  • Pay by milestone. You see progress before each invoice.
  • 60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
  • All conversations are NDA-protected.