Available Now · 80+ Dashboards Deployed

Data Analytics Company

Dashboards · Reporting · BI · Visualization

Miracuves is a data analytics company that builds custom dashboards, automated reporting, and business intelligence platforms — executive KPIs, sales analytics, financial reporting, and real-time monitoring with Tableau, Power BI, dbt, and Airflow. You get live dashboards, ETL pipelines, documentation, and complete source ownership.

80+ Dashboards 97% Data Accuracy 100% IP Ownership NDA Day One
WhatsApp — Talk to Our Team Explore Analytics Solutions
Clutch Reviewed 4.9★ · Starting from $3,699 · View analytics deployments
Miracuves Delivery RecordData Analytics Team
3–8 Weeks
Delivery timeline
$3,699
Starting price
80+
Dashboards deployed
25+
Data connectors
Data analysts active right now

SaaS

Executive Dashboard

Delivered in 5 weeks · 5 sources

E-commerce

Sales Analytics Hub

Delivered in 6 weeks · Power BI
Analytics Engine Console ACTIVE (Live)
DATA SOURCES 25+ Connectors
REFRESH RATE Near Real-Time
QUERY ENGINE SQL + Python
PIPELINE dbt + Airflow
20+ Data AnalystsOn Miracuves analytics team
80+ Dashboards BuiltDeployed by Miracuves
3–8 Week DeliveryBrief to live dashboard
Tableau + Power BICertified delivery team
97% Insight AccuracyVerified across deployments

White-Label Ready

Fully rebrandable on delivery

NDA Day One

IP protected first call

Full Source Code

Delivered at handoff

60-Day Support

Post-launch included

100% IP Ownership

Yours — always

Clutch Reviewed 4.9★

Third-party verified
Our Data Analytics Approach

How Miracuves delivers data analytics — from 80+ dashboard deployments

After deploying 80+ dashboards across SaaS, e-commerce, fintech, and operations teams, Miracuves has a repeatable analytics delivery methodology. We start with your data landscape — sources, KPIs, audiences, and refresh requirements — then design ETL, semantic models, and visualizations that stakeholders actually use.

Every engagement ships with documented pipelines, role-based access, automated refresh schedules, and reconciliation checks — not a one-off report that breaks when someone changes a spreadsheet formula.

Who this service is built for: Leadership teams, operations heads, and product leaders who need unified reporting from multiple systems — CRM, ERP, product analytics, payments, and marketing tools. Miracuves data analytics fits when you want custom dashboards with published pricing, full pipeline ownership, and a company accountable for accuracy — not a generic BI template. If off-the-shelf SaaS reporting already covers your needs, we will say so upfront.

Source audit and KPI mapping in week one — no dashboard design before data is validated
dbt for version-controlled transformations — testable SQL, not ad-hoc queries
Airflow orchestration for scheduled refresh, alerting, and dependency management
Tableau, Power BI, or Looker — tool chosen for your stack, not our preference
Automated email digests, threshold alerts, and drill-down paths included by default

From our analytics team — SaaS executive dashboard, 5 weeks

"Five disconnected sources, three days of manual board prep every month. Miracuves connected PostgreSQL, GA4, Stripe, Salesforce, and HubSpot into one Tableau executive view with dbt transforms and Airflow scheduling. Board prep dropped from 3 days to live — delivered week 5 with full pipeline docs."

Written by the Miracuves Data Analytics Team · May 2026 · View Deployed Portfolio →
80+
Dashboards deployed by Miracuves
40%
Faster decisions (avg client outcome)
25+
Standard data source connectors
3–8
Weeks from brief to live dashboard
$3,699
Published starting investment anchor
100%
Pipeline + dashboard ownership
Batch
Scheduled ETL
Streaming
Near real-time
Self-Serve
Drill-down BI

Why Data Analytics at Miracuves

Time to first live dashboard3–8 weeks
Data source integration25+ connectors
Refresh automationdbt + Airflow
BI platform flexibilityTableau · Power BI · Looker
Accuracy guaranteeSource-to-KPI reconciliation
Source code ownership100% yours
80+ Dashboards Built by Miracuves

What Miracuves builds — analytics solutions you can ship

Discuss Your Analytics Use Case →
5 Weeks01

Leadership

Executive Dashboard

C-suite KPIs across revenue, growth, churn, and operations — multi-source consolidation with drill-down.

From $3,699Tableau5+ Sources
6 Weeks02

Revenue

Sales Analytics Hub

Pipeline, conversion, forecast accuracy, and regional performance — CRM and ERP integrated.

From $8,999Power BICRM + ERP
4 Weeks03

Marketing

Marketing Attribution

Campaign ROI, cohort analysis, channel mix, and CAC/LTV tracking across ad platforms and product analytics.

From $7,499LookerMulti-channel
6 Weeks04

Finance

Financial Reporting Platform

P&L, cash flow, and transaction drill-down with automated month-end close acceleration.

From $12,999Snowflakedbt
5 Weeks05

Operations

Real-Time Ops Monitor

Live SLA tracking, queue depth, incident metrics, and anomaly alerts for operations teams.

From $9,999StreamingAlerts
8 Weeks06

Product

Product Analytics Suite

Funnel, retention, feature adoption, and experimentation dashboards wired to your product telemetry.

From $10,999PythonPlotly/Dash
Honest note: Custom analytics pays off when decisions depend on unified, trustworthy data. If a single off-the-shelf SaaS report already answers your question, Miracuves will recommend that instead of building custom pipelines.
Technology Comparison

Data Analytics — Miracuves vs In-House vs Off-the-Shelf — which is right for you?

Most analytics consultancies avoid this question because they only recommend one solution. Miracuves answers it honestly — your delivery model determines long-term cost, agility, and insight quality.

Metric Data Analytics (Miracuves)
← MIRACUVES DEFAULT		 In-House Team Off-the-Shelf BI
Setup Time 3–8 weeks — full dashboard deployment 3–6 months — hire, onboard, architect 2–8 weeks — configure existing tool
Customization Fully custom — your data, your KPIs, your brand Fully custom — built to your spec Limited — constrained by tool capabilities
Cost From $3,699 — fixed price, predictable $50K–200K/yr — salaries + tools + infra $5K–50K/yr — license + implementation
Data Integration 25+ connectors — databases, APIs, SaaS Custom — built per source Pre-built — popular sources only
Best For Custom dashboards · fast deployment · end-to-end Deep domain-specific analytics Standard reporting · low customization

Choose Miracuves Analytics if…

You need a custom dashboard in weeks (not months) · multiple data sources integrated into one view · automated reporting · end-to-end delivery with full source ownership.

Consider an alternative if…

You already have a BI team and need a point solution · your data requires niche industry-specific tooling · you only need a single off-the-shelf report. Talk to us →

Technical Architecture

How Miracuves engineers structure analytics pipelines for production

These are the specific decisions our data engineering team makes on every analytics project — choices that determine whether insights are reliable or become a pipeline that needs to be rebuilt.

Architecture — Layered ETL Pipeline

Strict separation: Data Ingestion → Transformation → Storage → Visualization. Every data source owns its extractor, transformer, and model layer independently. This is how Miracuves adds a new data source in 2 days without breaking existing dashboards.

Data Pipeline — dbt for Transformation, Airflow for Orchestration

dbt keeps data transformations version-controlled and testable. The most common problem inherited from other agencies: untransformed raw data hitting dashboards directly. We eliminate this on day one as a hard standard — not a suggestion.

Performance — Query Optimization and Incremental Refresh

Every dashboard query is profiled and indexed. Heavy aggregations run as materialized views to keep dashboard load times under 2 seconds. We profile every view with query explain plans — ad-hoc queries are never used as a performance benchmark.

What most analytics consultancies get wrong

Delivering untested SQL queries. No version control on transformations. Hardcoded database credentials in dashboards. No incremental refresh planning. Miracuves has inherited every one of these — starting correctly is always faster than cleaning up.

analytics_pipeline.py — ETL Data Pipeline
# SQL + Python analytics pipeline for dashboard # Used in Executive Dashboard + all analytics products import pandas as pd import sqlalchemy from tableau import TableauServer class RevenuePipeline: def run(self): """Extract, transform, and load revenue data for Executive Dashboard.""" engine = sqlalchemy.create_engine("postgresql://analytics:****@prod-db:5432/miracuves") df = pd.read_sql("SELECT * FROM orders WHERE created_at >= NOW() - INTERVAL '90 days'", engine) df["revenue"] = df["amount"] - df["tax"] df.to_sql("bi_revenue", engine, if_exists="replace") TableauServer().refresh_workbook("Executive Dashboard") print(f"Pipeline complete: {len(df)} records processed")
Runs on a daily dbt + Airflow schedule, transforming raw order data into a BI-ready table and refreshing the Tableau workbook automatically. Used in every analytics product Miracuves ships.
Our Service Models

Three ways Miracuves delivers your analytics project

Every engagement is with Miracuves as a company — a complete team, a defined process, and full delivery accountability. Choose the model that matches your project stage.

Most Popular
Data Sources
Live KPIs
BI Dashboard

Fixed Scope · Fixed Price

Dashboard Delivery Package

Miracuves delivers a scoped analytics build — data integration, dbt transforms, dashboard, and automated refresh — in 3–8 weeks. Pipelines fully yours.

Starting from $3,699 — published anchor price
Dashboard types: executive, sales, marketing, finance
ETL pipeline, semantic model, and deployment included
dbt tests and data lineage documentation
Full source code · pipeline docs · NDA · 60-day support
AnalyticsHub Staging dbt Tableau ETL Airflow Monitor

Custom Development · Full Platform

Custom Analytics Platform

Miracuves builds from your specification — custom data architecture, KPI models, and role-based views. Full team: data engineer, analyst, QA, PM.

Scoped and priced before development begins
Custom semantic layer designed for your KPIs
Weekly sprint demos — working dashboard every sprint
BI deployment and access control management
Full source code · pipeline SQL · IP 100% yours
Wk 1
Wk 2
Wk 3
Wk 4

Analytics Retainer · Monthly

Ongoing Analytics

Miracuves works as your ongoing analytics partner — new dashboards, data sources, and pipeline maintenance on a monthly retainer with weekly demos.

From $2,299/month — cancel with 2 weeks notice
Dedicated Miracuves analytics team assigned to your project
Direct communication with analysts and engineers — no account manager relay
Weekly data quality reports — freshness, accuracy, pipeline health
Scales up or down as your reporting needs evolve
Quality Standards

How Miracuves ensures every analytics delivery meets production standard

Every project passes through Miracuves' quality gates before handoff — not as a checklist, as a non-negotiable delivery standard applied to every dashboard and pipeline we ship.

Layered pipeline — Ingestion / Transform / Semantic Model / Visualization separatedArchitecture
dbt tests on every model — row counts, uniqueness, and referential checksData Quality
Query profiling — dashboard loads under 2 seconds on production data volumesPerformance
Staging reconciliation — KPI totals match source systems before go-liveValidation
Airflow monitoring — failed runs alert before stakeholders see stale dataReliability
RBAC on every dashboard — no credential sharing or embedded passwordsSecurity
Data lineage documentation — every metric traceable to source tablesGovernance
Enforced QA Gates

Our 6 Continuous Delivery Gateways

Every pipeline job, dashboard workbook, and semantic model must successfully clear all six quality control gates before repository handoff.

01

SQL and Pipeline Review on Every Change

Every dbt model, Airflow DAG, and dashboard calculation merged into your main branch is reviewed by a senior Miracuves data engineer. No untested transforms reach your production warehouse.

02

Automated Data Validation Required

dbt schema tests, freshness checks, and reconciliation scripts against source systems. No dashboard promotes to production until KPI totals are verified against source databases.

03

Staging Sign-Off Before Production

Every dashboard is validated on staging data mirroring production volume. Load times, refresh windows, and role-based views are profiled before executives receive access.

04

Handoff Package — Not Just a Repository

dbt project, Airflow DAGs, BI workbook exports, data dictionary, environment setup guide, access matrix, and post-launch runbook — all included in every project handoff.

05

Pipeline Versioning and Rollback Ready

Every transform and dashboard version is tagged in git with dbt snapshots and documented release notes. Rollback to a previous pipeline or workbook is a deployment switch — not a rebuild.

06

Post-Launch Monitoring — 60-Day Active Support

Grafana and Airflow alerts track pipeline freshness, failed jobs, and data quality thresholds from day one. Miracuves investigates stale or incorrect metrics during the 60-day support window — proactive, not reactive.

Technology Stack

The data analytics stack Miracuves ships with

Matched to your architecture and delivery requirements — not a one-size-fits-all default.

Tableau
Executive BI · publishing
Power BI
Microsoft-centric reporting
Looker
Embedded analytics · LookML
dbt
SQL transforms · testing
Airflow
Pipeline orchestration
Python 3.11+
Custom analytics · Dash
SQL
Warehouse queries · models
Snowflake
Cloud warehouse · scale
BigQuery
GCP analytics warehouse
PostgreSQL
Operational DB · analytics
Redis
Caching · real-time metrics
Kafka
Streaming ingestion
Grafana
Pipeline monitoring
pandas
Data wrangling · exports
Plotly / Dash
Custom web dashboards
Fivetran
Managed connectors · ELT
Our Process

From brief to live dashboard — what happens and when

Every data analytics engagement follows the same delivery spine — whether you start from a dashboard package or a custom analytics platform. You always know what Miracuves is doing, what data you need to provide, and what gets delivered at each step. Timelines reflect standard analytics delivery; complex builds run milestone-based with the same checkpoints.

Brief & NDA

Share your concept via WhatsApp. NDA signed same day. We ask 6 specific questions.

Step 01

Scope & Plan

Data sources, KPIs, and BI stack confirmed. No payment before scope is agreed.

Step 02

Build & Demo

Repo created, architecture set. First commit in 24h. Weekly working demo runs.

Step 03

QA & Polish

Data reconciliation, query profiling, and refresh tests on staging data mirroring production.

Step 04

Launch & Handoff

Dashboard workbooks, dbt project, Airflow DAGs, and documentation delivered. 60 days active support.

Step 05
Same DayNDA turnaround
3–8 WeeksStandard dashboard delivery
24 HoursFirst commit after scope
60 DaysPost-launch support
Transparent Pricing

What data analytics costs at Miracuves

We publish prices because we are confident in what we deliver. No "contact us for pricing" pages. No hidden fees after scope is agreed.

Dashboard Package

$3,699 from

Fixed price · 3–8 week delivery · scoped

  • Custom dashboard — Tableau, Power BI, or Python
  • Admin panel and data connectors included
  • Branding and white-label applied
  • Full source code on handoff
  • 60-day post-launch support
  • NDA protected from day one
Start a Dashboard Project
Most Requested

Custom Analytics Platform

Custom Quote

Scoped before build · milestone billing

  • Full analytics team — data engineer + analyst + QA
  • Custom data architecture for your spec
  • Weekly sprint demos — working dashboards
  • Tableau/Power BI deployment managed
  • Full source code · complete IP transfer
  • Milestone billing — no pay before delivery
Get a Scope & Quote

Ongoing Analytics

$2,299/mo

Monthly retainer · cancel with 2 weeks notice

  • Miracuves analytics team assigned to your product
  • New dashboards, reports, and maintenance
  • Weekly demos and sprint planning
  • Direct communication — no relay
  • Scales up or down as needed
  • All code remains 100% yours
Discuss Ongoing Work
Why Miracuves publishes prices: Clients who understand cost upfront make better product decisions. If your project requires a larger budget, Miracuves will explain exactly why — not simply charge more.

What affects analytics project cost at Miracuves

Dashboard package pricing stays fixed when scope matches the base framework. Custom analytics platforms scale with: number of data sources, real-time streaming requirements, custom transformation logic, role-based access complexity, multi-region deployment, and third-party API integrations beyond the standard stack.

Typical analytics budget ranges

Dashboard package: from $3,699 · 3–8 weeks.
Custom platform: $10,000–$35,000 · 6–14 weeks depending on scope.
Ongoing retainer: from $2,299/month for new dashboards and maintenance.
Every quote is written before payment — no surprise invoices after kickoff.

Client Reference

What a real analytics project looks like at Miracuves

A mid-market SaaS company needed a real-time executive dashboard that consolidated revenue, user acquisition, churn, and operational metrics from 5 disconnected data sources — PostgreSQL, Google Analytics, Stripe, Salesforce, and HubSpot — within 5 weeks before a board presentation.

01

The Challenge

The executive team had no unified view of business performance. Data was scattered across 5 platforms, reporting was manual and weekly, and board presentations required 3 days of spreadsheet work. They needed a live dashboard with drill-down capability — all within 5 weeks.

02

What Miracuves Delivered

Built a comprehensive executive dashboard with 12 KPI modules across revenue, growth, churn, and operations. Connected Tableau to all 5 data sources via automated ETL pipelines using dbt for transforms and Airflow for scheduling. Added custom drill-downs, role-based access, and automated weekly email reports.

03

Outcome

Delivered on week 5. Board-ready dashboard with live data from all 5 sources. Decision-making time reduced from 3 days to real-time. Client presented the live dashboard at their board meeting and secured follow-on funding. Full source code, pipeline documentation, and admin access included.

5 WeeksFull delivery
5 SourcesIntegrated
40% FasterDecisions
View All Case Studies →

Client Testimonial

"We were spending 3 days every week manually pulling reports from 5 different tools. Miracuves built a single dashboard that consolidated everything in 5 weeks. The board was impressed, and our management team now makes decisions based on live data instead of last week's spreadsheets. The 40% faster decision-making claim is real — we measured it."

SK

S.K., VP of Operations

SaaS Analytics Platform · Series B Company

⭐ Read Clutch & Google Reviews →

Project Brief

Solution usedExecutive Dashboard (Analytics)
Delivery timeline5 weeks
Data sources integrated5 sources - live
Key integrationsTableau · dbt · Airflow · SQL
Outcome40% faster decision-making
Source code100% client-owned
12K+
Users · Month 1
4.8★
Client satisfaction
60d
Support included
Client Reviews

What clients say about Miracuves data analytics

Across SaaS, e-commerce, fintech, and operations projects — from department heads to C-suite executives — verified on Clutch and Google.

★★★★★

Clutch · SaaS Analytics

"Miracuves built our executive dashboard from scratch in 5 weeks. They connected Tableau to our PostgreSQL, Google Analytics, and Stripe data — we finally have a real-time view of our business. The dbt pipeline is clean and our internal team can maintain it. Best decision we made this quarter."

MK

M.K., CTO

B2B SaaS Platform · Austin, TX

Data Analytics · Executive Dashboard · Tableau · dbt
★★★★★

Google Reviews · E-Commerce Analytics

"We were drowning in spreadsheets trying to track sales across 4 regions. Miracuves built a Power BI dashboard with automated data pulls from our ERP and CRM — regional managers now see live numbers every morning. Reporting that used to take 2 days now happens automatically."

RJ

R.J., Head of Operations

Multi-Region E-Commerce · London, UK

Data Analytics · Power BI · ERP Integration · Automated Reporting
★★★★★

Clutch · Financial Analytics

"Our finance team needed automated P&L reporting with drill-down to transaction level. Miracuves delivered a complete financial analytics platform with Snowflake backend, dbt transformations, and Tableau dashboards. Month-end closing that used to take 5 days now takes 4 hours."

PL

P.L., CFO

Financial Services Firm · Singapore

Data Analytics · Financial Reporting · Snowflake · dbt
4.9 / 5.0 Clutch average rating
4.8 / 5.0 Google average rating
Top Developer Clutch recognition · 2024–2025
Read All Reviews →
Frequently Asked

Questions about data analytics at Miracuves

What types of dashboards does Miracuves build?

Miracuves builds executive dashboards (C-suite KPIs, revenue, growth), sales analytics (pipeline, conversion, forecasts), marketing analytics (campaign ROI, attribution, cohorts), financial reporting (P&L, balance sheet, cash flow), operations dashboards (live metrics, SLA monitoring), and real-time monitoring systems (streaming data, anomaly detection). Each dashboard is custom-built to your data sources and business requirements.

Does Miracuves integrate with any data source?

We support 25+ connectors covering major databases (PostgreSQL, MySQL, BigQuery, Snowflake), SaaS platforms (Salesforce, HubSpot, Google Analytics, Stripe, Mixpanel, Amplitude), file formats (CSV, Excel, JSON), and API-based custom integrations. If your data source has an API, Miracuves can connect it. We audit your data landscape during the brief phase to confirm compatibility before any commitment.

How quickly can a custom dashboard be delivered?

A scoped dashboard deployment — covering data integration, visualization design, and deployment — ships in 3–8 weeks depending on the number of data sources and complexity of KPIs. Custom analytics platforms take 6–14 weeks for full scope. All timelines are stated in writing before any payment is requested.

Tableau vs Power BI vs Looker — which does Miracuves recommend?

Miracuves is tool-agnostic and recommends the best visualization platform for your specific needs. Tableau excels at complex visual analytics and dashboard publishing. Power BI is ideal for Microsoft-centric enterprises with strong Excel integration. Looker (now Google Cloud) suits embedded analytics and data exploration at scale. When your needs are straightforward, Miracuves may recommend a custom Python dashboard built with Plotly/Dash for maximum flexibility without licensing costs.

Can Miracuves automate recurring reports and email digests?

Yes. Every dashboard delivery includes automated report scheduling — daily, weekly, or monthly PDF/Excel exports sent to distribution lists. We also build custom alerting: Slack or email notifications when KPIs cross defined thresholds. This is configured during the dashboard design phase and included in the scope.

Does Miracuves handle data pipeline maintenance after delivery?

Yes. Every delivery includes 60 days of post-launch support covering pipeline monitoring, data quality checks, and bug fixes. Ongoing maintenance retainers cover pipeline optimization, new data source connections, dashboard enhancements, and SLA-monitored uptime guarantees. All retainer terms are published and cancelable with 2 weeks notice.

What data security measures does Miracuves implement?

Miracuves follows enterprise data security practices: encrypted data in transit (TLS 1.3) and at rest (AES-256), role-based access control for all dashboards, SOC 2-aligned processes, bilateral NDA before any data is shared, and full data ownership transfer at project completion. Database credentials are managed via secure vaults — never hardcoded in dashboards or pipelines.

How does Miracuves ensure dashboard data accuracy?

Every dashboard includes automated data validation checks — row counts, null value detection, referential integrity, and threshold alerts. Pipelines run through staging environments before production deployment. Miracuves documents every transformation step and provides a data lineage map so you always know where your numbers come from. Our guarantee: you can reconcile any dashboard number back to your source database.

Get Started

Ready to build your data analytics with Miracuves?

Tell Miracuves what data challenges you are solving. We will confirm the right dashboard framework, analytics model, and delivery timeline — in writing, before any commitment is required from you.

500+Dashboards delivered
3–8 WeeksDashboard delivery
100%Source code yours
Same DayNDA turnaround
WhatsApp — Start Now Contact & Brief Form

NDA signed before we discuss your project details

Page reviewed by the Miracuves Data Analytics Team · Last updated Jun 2026 · Clutch & Google Reviews