🔍 Service · Data Analytics

Analytics That Surface
What Actually Matters

Structured, automated analytics and reporting pipelines that cut through the noise — delivering the trends, risks, and insights your leadership needs before they even ask for them.

Automated
Report Generation
85%
ETL Speed Gain
Real-Time
Trend Detection
Zero
Manual Spreadsheets
📉

The Problem

Data exists everywhere but insight is scarce. Teams produce reports that nobody reads, analysts spend 80% of their time collecting data rather than analyzing it, and leadership waits days for answers that should take minutes.

🔧

Our Approach

We build end-to-end analytics pipelines using Python, SQL, and Power BI — automating data collection, transformation, and report delivery. Statistical analysis and anomaly detection are built in so your team gets alerted to what matters, not buried in data.

📈

What You Get

Automated reports that run on schedule and land in inboxes ready to read. Anomaly alerts when metrics deviate from expected ranges. Clean, actionable analytics your whole organization can trust — no more version confusion or outdated numbers.

Automated Reporting
Intelligence Layer

A representative view of the analytics reporting environment we build — automated ETL, trend monitoring, variance analysis, and exception-based alerts across your data estate.

Phoenix Solutions — Analytics Intelligence · Automated Reporting · Last run: Today 08:00 AM
📊 Trends Overview
⚠️ Anomaly Alerts
📋 Automated Reports
📈 Forecasting
🔄 Pipeline Status
⚙️ Settings
Last 30 Days
Last Quarter
All Metrics
All Sources
Pipeline ran: Today 08:00 AM · Next: Tomorrow 08:00 AM
Reports Generated
247
↑ 12 this week
Anomalies Detected
3
⚠ Needs review
Data Sources
14 Live
All connected
ETL Success Rate
99.8%
↑ 0.2pts
Key Metric Trends — 30-Day Rolling Window
W1W2W3W4W5W6
Report Delivery Status
Delivered 88%
Scheduled 9%
Pending 3%
Report NameLast RunFrequencyRecipientsStatus
Executive Weekly SummaryToday 08:00WeeklyC-Suite (6)Delivered
Sales Performance DailyToday 08:00DailySales Mgmt (12)Delivered
Finance Monthly CloseFeb 1 2025MonthlyFinance (8)Scheduled
Ops Exception AlertToday 06:15Real-timeOps Team (4)Anomaly Flagged

Every Engagement
Includes

Data Audit & Source Mapping

Complete inventory of your data sources, quality assessment, and gap analysis before any pipeline is built.

ETL / ELT Pipeline Engineering

Automated data ingestion, transformation, and loading pipelines using Python, SQL, and cloud-native tooling.

Statistical Analysis & Trend Modeling

Moving averages, regression analysis, seasonality detection, and variance analysis built into reporting layers.

Automated Report Delivery

Scheduled reports delivered via email, Teams, SharePoint, or Power BI — formatted, branded, and ready to read.

Anomaly Detection & Alerts

Exception-based alerting that notifies the right people when metrics deviate — before issues escalate.

Documentation & Handover

Full pipeline documentation, data dictionary, and training so your team owns and understands everything we build.

What Clients
Achieve

85%
Reduction in ETL processing time through optimized pipeline architecture
70%
Less time analysts spend on data collection — freed up for actual analysis
Days → 5 min
Report generation time reduced from multi-day manual process to minutes
More decisions supported by data after analytics infrastructure is deployed

Technologies
We Use

🐍
Python
Pandas, NumPy, Scikit-learn for data processing and analytics
🗄️
SQL
Complex queries, window functions, stored procedures and optimization
📊
Power BI
Report delivery, interactive dashboards, automated data refresh
☁️
Azure
Data Factory, Databricks, Synapse for scalable data pipelines
Python 3.xPandasNumPySQL ServerPostgreSQLAzure Data FactoryAzure DatabricksPower BIdbtApache Airflow

Explore What
Else We Do

Tired of reports nobody reads?

Book a free 30-minute call. We'll review your current reporting setup and show you what automated, insight-driven analytics would look like for your organization.

Book a Free Call →