Why Choose Everest for Analytics?
- Deep domain expertise across Marketing, Operations, and Customer Analytics.
- End-to-end integration with enterprise tools (HubSpot, Salesforce, BigQuery, etc.).
- Customizable dashboards and intelligent visualizations.
- Scalable architecture powered by modern cloud platforms.
- AI-enhanced insights and anomaly detection capabilities.
Analytics Platforms
Google Analytics
Audience Behavior Mapping
Track and analyze how your users interact with your campaigns and platforms.
Campaign Performance Analysis
Measure ROI, optimize ad spend, and identify top-performing channels.
Customer Journey Insights
Visualize funnel drop-offs and key touchpoints to boost conversion.
KPI Dashboards
Customized executive dashboards to monitor real-time metrics.
Multi-Channel Attribution
Understand what truly drives conversions across email, web, ads, and more.
Our Marketing Analytics suite offers a robust foundation to evaluate, monitor, and optimize all your marketing initiatives. We combine first-party and third-party data across web, CRM, social, and ad platforms to build comprehensive performance narratives.
- Real-time dashboards for CMO-level overviews.
- Predictive analytics to forecast campaign impact.
- Integration with Salesforce, HubSpot, and Ad platforms.
Adobe Analytics
Workspace Dashboards
Build intuitive dashboards with advanced filters and dimensions.
Customer Journey Mapping
Get granular insights into multi-touch user paths.
Data Layer Integration
Ensure robust data collection across apps and devices.
Segmentation & Cohort Analysis
Advanced filters to target and analyze user groups.
Predictive Analytics
Uncover future trends using Adobe AI tools.
With Adobe Analytics, we unlock enterprise-grade tracking and predictive modeling. Everest enables tailored dashboards, deep funnel views, and real-time segmentation to elevate decision-making.
- Integration with Adobe Experience Cloud.
- Cross-device & cross-session analysis.
- Tag Management via Adobe Launch.
BigQuery
Marketing Data Warehousing
Centralize multi-source marketing data in BigQuery.
Custom SQL Queries
Ad-hoc exploration and complex joins across datasets.
BigQuery ML
Build ML models directly inside your data warehouse.
Near-Real-Time Dashboards
Power Looker, Data Studio, or Tableau with live data.
Cost-Optimized Pipelines
Efficient ETL design using scheduled queries and partitioned tables.
Everest leverages Google BigQuery to create high-speed, scalable analytics pipelines for modern enterprises. We help clients consolidate marketing, sales, and operational data for unified insight delivery.
- Integration with Google Marketing Platform & CRM tools.
- Scheduled ETLs and automated data quality checks.
- ML integration for churn prediction, scoring, segmentation.
Power BI
Interactive Dashboards
Real-time filters, slicers, and visual storytelling.
Data Blending
Merge data from SQL, Excel, CRM, and APIs.
Enterprise Sharing
Distribute via Power BI service with RLS (role-level security).
Drill-Down Analysis
From overview to granular view in one click.
KPI & OKR Boards
Executive-ready KPI visualizations.
Power BI enables decision-makers to interact with their data. Everest creates enterprise-grade dashboards with role-based access, blended data, and automated refresh pipelines.
- Paginated reports for finance/legal teams.
- Integration with Microsoft 365 and Teams.
- Alert-based monitoring and anomaly detection.
Tableau
Storytelling Dashboards
Combine multiple views to narrate trends.
Live Data Connections
Connect directly to Snowflake, BigQuery, Redshift.
Beautiful Visuals
Stunning UI for data-heavy environments.
User Filters
Self-service analytics with dynamic filtering.
Advanced Calculations
Create custom fields using Tableau LOD expressions.
With Tableau, Everest brings data to life. Whether it’s internal reporting or executive storytelling, our team crafts high-impact dashboards for every role.
- Connectors to 100+ data sources.
- Tableau Server/Cloud deployment.
- Deep integration with R, Python & AI models.
R Programming
Custom Statistical Models
Regression, classification, clustering, time series, etc.
Data Wrangling
Tidyverse, dplyr, ggplot for exploratory data analysis.
Automated Reporting
R Markdown + Shiny for interactive dashboards.
Predictive Modeling
ARIMA, random forests, logistic regression.
Integration with BI Tools
Push R outputs to Tableau, Power BI.
R Programming is essential for deep data science. Everest leverages R to run ML pipelines, exploratory data analysis, and statistical reporting for research-driven clients.
- Clean and manipulate datasets at scale.
- Interactive dashboards with Shiny.
- R-powered ETL pipelines with cron automation.
Python
Data Engineering
Pandas, NumPy, SQLAlchemy for data workflows.
ML Models
scikit-learn, TensorFlow, PyTorch deployment.
API Integration
Connect external services for real-time analytics.
Visualization
Matplotlib, Plotly, Seaborn dashboards.
Notebooks & Scripts
Jupyter notebooks for reproducible pipelines.
Python is the powerhouse of data science. Everest uses Python to automate data pipelines, build custom models, and connect data services end-to-end.
- Real-time API and Kafka data ingestion.
- ML-based anomaly detection.
- Scalable model deployment with FastAPI/Flask.
