Analytics and Reporting Dashboard Development

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.
Development and maintenance of all types of websites:
Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Our competencies:
Development stages
Latest works
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1161
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1041
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    822
  • image_crm_chasseurs_493_0.webp
    CRM development for Chasseurs
    847
  • image_website-sbh_0.png
    Website development for SBH Partners
    999
  • image_website-_0.png
    Website development for Red Pear
    451

Developing Analytics and Reporting Dashboard

Analytics dashboard visualizes business metrics in real-time or periodically. Goal: make data from multiple sources readable without SQL queries. Key requirements: fast loading (users shouldn't wait 30 seconds), flexible filtering, correct aggregation.

Data Sources

Dashboard pulls from multiple places:

  • Primary database PostgreSQL / MySQL
  • Analytics warehouse (ClickHouse, BigQuery, Redshift)
  • External APIs (Google Analytics, ad platforms)
  • Files (CSV, Excel import)

Query Optimization

Main problem with analytical dashboards: heavy queries against OLTP databases. Solutions:

Materialized Views:

CREATE MATERIALIZED VIEW daily_revenue AS
SELECT
  DATE_TRUNC('day', created_at) as date,
  SUM(total) as revenue,
  COUNT(*) as orders
FROM orders
WHERE status = 'completed'
GROUP BY DATE_TRUNC('day', created_at);

REFRESH MATERIALIZED VIEW CONCURRENTLY daily_revenue;

Aggregation Tables (Rollups):

CREATE TABLE metrics_hourly (
  metric_date DATE,
  metric_hour INTEGER,
  visits INTEGER,
  conversions INTEGER,
  revenue DECIMAL,
  PRIMARY KEY (metric_date, metric_hour)
);

-- Populate via scheduled job
INSERT INTO metrics_hourly (metric_date, metric_hour, visits, conversions, revenue)
SELECT
  DATE(created_at),
  DATE_PART('hour', created_at)::INTEGER,
  COUNT(*),
  COUNT(CASE WHEN converted THEN 1 END),
  SUM(COALESCE(revenue, 0))
FROM events
WHERE created_at >= CURRENT_DATE - INTERVAL '7 days'
GROUP BY DATE(created_at), DATE_PART('hour', created_at);

React Dashboard

function AnalyticsDashboard() {
  const [metrics, setMetrics] = useState<Metrics | null>(null);
  const [loading, setLoading] = useState(true);

  useEffect(() => {
    fetch('/api/analytics/summary?period=month')
      .then(r => r.json())
      .then(data => {
        setMetrics(data);
        setLoading(false);
      });
  }, []);

  if (loading) return <Spinner />;
  if (!metrics) return <div>No data</div>;

  return (
    <Grid columns={3} gap={4}>
      <StatCard title="Revenue" value={`$${metrics.revenue}`} change={metrics.revenue_change} />
      <StatCard title="Conversions" value={metrics.conversions} change={metrics.conversion_change} />
      <StatCard title="Avg Order Value" value={`$${metrics.aov}`} />
      <RevenueChart data={metrics.daily_data} />
      <ConversionFunnel steps={metrics.funnel} />
      <GeographicChart data={metrics.geo_data} />
    </Grid>
  );
}

Timeline

Basic dashboard with 5-6 key metrics: 2-3 days. Advanced reporting with filters, drill-downs, custom date ranges: 5-7 days.