Data Strategy & Assessment
Audit what data you have, where it lives, what quality issues exist, which business questions matter, and which analytics use cases produce the fastest ROI.
Data audit | Maturity assessment | Roadmap | Tool recommendation
Data Analytics
Data Analytics & Business Intelligence Services in Nepal
Transform your data into actionable insights - dashboards, predictive analytics, customer analytics, and data strategy. From Excel to data-driven decisions.
📌 Quick Answer
Purba Tech Labs provides data analytics and business intelligence services for Nepal-based organizations - including data strategy, dashboard development, predictive analytics, customer analytics, data warehousing, and team training.
Analytics capabilities: Dashboards & Visualization · Predictive Analytics · Customer Analytics · Sales Analytics · Financial Analytics · Inventory Analytics · Data Strategy.
Data sources: Excel/CSV · SQL databases · eSewa/Khalti APIs or reports · Google Analytics · ERP/accounting systems · custom APIs · government data such as census, NRB, and trade indicators.
THE CONTEXT
Your Business Is Sitting on a Goldmine of Data - But You're Still Making Decisions Based on Gut Feeling
Your business generates data every day: sales transactions, inventory movements, customer records, financial ledgers, employee timesheets, supplier purchase orders, eSewa/Khalti payments, and website behavior. Yet many Nepal businesses never analyze it properly. Reports are manually prepared at month-end, inventory is ordered from habit, and customer understanding stays anecdotal.
This intuition-driven decision making costs money. Retailers overstock slow movers and run out of best-sellers. Banks lose customers without identifying churn signals. Manufacturers miss production inefficiencies. Marketing teams spend budget without knowing which campaigns work. In Nepal's tight-margin business environment, being data-rich but insight-poor is a competitive risk.
Analytics does not have to start with complex AI. It starts with useful questions: which products sell best, which customers are profitable, which districts are growing, what stock is stuck, what will Dashain demand look like, and where is margin leaking? Purba Tech Labs turns raw data into dashboards, forecasts, segments, and practical decisions.
What's your analytics maturity?
Level 1: Excel-only - reports take days and decisions use intuition
Level 2: Basic dashboards - automated reports and trend visibility
Level 3: Advanced analytics - forecasts, segmentation, and optimization
Level 4: Data-driven culture - analytics embedded into daily decisions
ANALYTICS SERVICES
Complete Data Analytics Capabilities
From data strategy to dashboard development to predictive analytics - we cover your entire analytics journey.
Dashboard & Visualization
Interactive dashboards in Power BI, Tableau, Metabase, Superset, or Looker Studio with filters, drill-downs, scheduled reports, and mobile-friendly views.
Sales | Inventory | Customer | Finance | Operations dashboards
Predictive Analytics
Demand forecasting, churn prediction, credit or payment risk scoring, inventory optimization, price analysis, and maintenance prediction using historical data.
Forecasting | Churn | Risk | Inventory | Maintenance
Customer Analytics
RFM segmentation, customer lifetime value, cohort analysis, churn analysis, customer journey analytics, and next-best-action recommendations.
Segmentation | CLV | Cohorts | Churn | Personalization
Sales & Operations Analytics
Sales trend analysis, product profitability, supplier performance, inventory turnover, promotional ROI, district-level demand, and seasonal planning.
Sales trends | Slow movers | Supplier analytics | Promo ROI
Analytics Training & Enablement
Move your team from manual Excel reporting to self-service BI with role-based training for managers, analysts, finance, operations, and IT.
Power BI | Tableau | SQL | Visualization | Data culture
CAPABILITIES
Complete Data Analytics Toolkit
Everything you need to transform data into decisions.
Data Integration & Warehousing⌄
Data Source Connectivity
Excel/CSV, SQL databases, cloud storage, eSewa/Khalti reports or APIs, Google Analytics, Tally exports, ERP systems, and custom APIs.
ETL Pipelines
Extract, clean, standardize, join, aggregate, and load data on daily, hourly, or near-real-time schedules.
Data Warehouse Design
Fact tables, dimension tables, product/customer/time/location models, and analytics-friendly structures.
Data Quality Management
Missing values, inconsistent formats, duplicates, outliers, validation rules, and quality dashboards.
Data Catalog
Document data source, owner, update frequency, quality score, and business definitions.
Dashboard & Reporting⌄
Interactive Dashboards
Charts, filters, drill-downs, cross-filtering, and self-service exploration.
Real-Time Dashboards
Auto-refresh sales, stock, customer activity, and operations data as sources update.
Scheduled Reports
Daily, weekly, or monthly reports delivered by email as PDF, Excel, or dashboard links.
Embedded Analytics
Analytics inside ERP, CRM, portals, or internal tools with your branding.
Custom Visualizations
Nepal district maps, heatmaps, funnels, waterfall charts, gauges, scatter plots, and KPI cards.
Predictive Analytics⌄
Time Series Forecasting
Sales, inventory, cashflow, web traffic, Dashain/Tihar spikes, and monsoon slowdown forecasts.
Classification Models
Churn prediction, lead scoring, fraud detection, payment risk, or quality pass/fail prediction.
Regression Models
Customer lifetime value, price elasticity, maintenance timing, and numeric outcome prediction.
Segmentation
Customer, product, or supplier clusters from behavior patterns.
Model Deployment
Batch predictions, dashboard integration, or API endpoints for real-time predictions.
Customer Analytics⌄
RFM Segmentation
Recency, frequency, and monetary segmentation for retail, e-commerce, and service businesses.
Customer Lifetime Value
Historical and predictive CLV by customer, segment, region, and channel.
Cohort Analysis
Retention, repeat purchase, and spend behavior over time.
Churn Analysis
Churn rate, risk signals, reasons, and retention offer effectiveness.
Personalization
Marketing segments, offer logic, product recommendations, and next-best-action workflows.
Sales & Inventory Analytics⌄
Sales Performance
Sales by product, category, district, branch, channel, salesperson, and time period.
Product Performance
Best-sellers, slow movers, margin, ABC analysis, and product lifecycle tracking.
Inventory Optimization
Reorder points, safety stock, economic order quantities, stockout alerts, and dead stock reporting.
Supply Chain Analytics
Supplier lead time, quality, on-time delivery, cost competitiveness, and PO cycle time.
Market Basket Analysis
Products bought together, cross-sell, upsell, and store layout recommendations.
Financial Analytics⌄
Revenue & Profitability
Revenue, gross margin, net profit by product, customer, region, and channel.
Expense Analytics
Expense category trends, budget variance, and cost-ratio dashboards.
Cash Flow Analytics
Cashflow forecasting, receivables aging, payables timing, and working capital visibility.
Financial KPIs
Gross margin, net margin, ROI, receivables turnover, inventory turnover, and liquidity metrics.
Scenario Analysis
What-if sales drop, raw material cost increase, discount change, or stock level adjustment.
Data Visualization & Storytelling⌄
Dashboard Design
Clean visual hierarchy, correct chart types, clear labels, and mobile-responsive layouts.
Interactive Exploration
Filters, drill-downs, drill-throughs, tooltips, and parameters.
Data Storytelling
Annotations, insight notes, recommendations, and narrative dashboards.
Geospatial Analytics
Nepal district maps, customer concentration, store catchment, and delivery planning.
Alerting
Email/SMS alerts for low stock, KPI drops, unusual transactions, or forecast deviations.
NEPAL ANALYTICS CONTEXT
Data Analytics in Nepal Is Different - Excel Still Dominates, but Opportunities Are Everywhere
Most Nepal businesses are at the beginning of their analytics journey. That means huge untapped value - and a chance to leapfrog competitors still using gut feel.
Excel Is Where Most Nepal Businesses Start
Most SMEs run sales, inventory, finance, and customer lists in Excel. We do not force a rip-and-replace. We connect Excel, automate refresh, reduce errors, and build dashboards on top.
Unique Data Sources Create Unique Insights
eSewa/Khalti transactions, mobile app behavior, Google Analytics, CBS/NSO data, NRB indicators, customs trade data, and social media signals can reveal consumer behavior and regional demand.
Festivals, Seasons, and Monsoons Matter
Dashain, Tihar, Teej, monsoon, elections, and local events shape demand. Analytics helps forecast seasonal spikes, plan inventory, coordinate suppliers, and prepare marketing.
Data Culture Is the Hard Part
Buying BI tools is easy. Getting teams to use data in daily decisions is harder. We pair dashboards with training, adoption support, and practical business workflows.
THE TRANSFORMATION
Your Analytics Capability Before and After
| Before (Excel + Gut Feel) | After (Automated Dashboards + Data-Driven) |
|---|---|
| Sales reports take 2-3 days at month-end | Sales dashboard updates automatically in real time |
| Inventory decisions use gut feel | Reorder alerts and optimal stock recommendations |
| Customer understanding is anecdotal | Customer segmentation shows profit and risk by segment |
| No sales forecasting | Demand forecasting by product, branch, and season |
| Marketing spend based on intuition | Campaign ROI analytics by channel and offer |
| Pricing copied from competitors | Price elasticity and discount effectiveness analysis |
| Financial reports compiled late | Revenue, expense, profit, and cashflow dashboard |
| Product profitability unclear | Margin and profitability by product and customer |
| Seasonality surprises the team | Dashain/Tihar and monsoon forecast planning |
| Business questions take days | Self-service analytics answers questions in seconds |
| Data trapped in silos | Integrated warehouse with one source of truth |
| Everyone uses different metrics | Shared KPI definitions and consistent dashboards |
Analytics can reduce manual reporting time by around 80%, help reduce inventory cost by 20-30%, improve marketing ROI by 15-20%, and reduce stockouts when forecasts and reorder rules are used well. In Nepal's competitive market, the analytics gap is becoming a decision-speed gap.
WHY US
Why Nepal Organizations Choose Purba Tech Labs for Analytics
We start with data audit, not technology
We identify your data sources, quality issues, business questions, analytics maturity, and high-value use cases before recommending dashboards, BI tools, or predictive models.
We work with your existing data
Excel, SQL, eSewa/Khalti, Google Analytics, accounting exports, ERP data, and custom APIs can all feed analytics without replacing your current systems.
Tool-agnostic implementation
Power BI, Tableau, Metabase, Superset, Looker Studio, Python, SQL, and open-source stacks are selected based on budget, skill level, and data complexity.
Training and enablement included
We train your team to interpret, maintain, and extend dashboards so analytics becomes internal capability, not permanent dependency.
80%
Typical reporting time reduction
20-30%
Typical inventory cost reduction
15-20%
Marketing ROI lift from segmentation
50%
Potential stockout reduction
90%
Estimated businesses relying on Excel
3-5 days
Typical manual report cycle
5x
Faster decisions with dashboards
77
Districts served across Nepal
DELIVERY PROCESS
How We Implement Data Analytics
Phased approach from data audit to dashboard to training.
01
Analytics Consultation
Map data sources, current reports, business questions, manual effort, data quality issues, and analytics opportunities. Output: roadmap, tool recommendation, timeline, and ROI estimate.
02
Data Integration & Warehousing
Connect Excel, SQL, APIs, POS, accounting exports, eSewa/Khalti reports, and Google Analytics. Clean data and load it into an analytics-ready warehouse.
03
Dashboard Development
Define KPIs, design dashboards, build charts, filters, drill-downs, scheduled reports, and deploy web or embedded dashboards for daily business use.
04
Predictive Analytics
Optional forecasting, customer segmentation, churn prediction, inventory optimization, and model validation using historical business data.
05
Training & Enablement
Train business users, analysts, managers, and IT teams in Nepali and English so your team can interpret and maintain analytics confidently.
06
Ongoing Support
Maintain dashboards, fix broken data connections, add new reports, review analytics opportunities, and provide monthly or annual support retainers.
PRICING
Data Analytics Service Cost in Nepal
Professional service pricing. BI tool licenses such as Power BI or Tableau are separate where applicable. Open-source tools such as Metabase or Superset can have zero software license cost.
Data Audit & Analytics Roadmap
NPR 30,000 - 60,000
1-2 weeks
- Data source inventory
- Business question identification
- Analytics maturity assessment
- Technology recommendation
- Implementation roadmap
- ROI projections
- Detailed findings report
Best for: Organizations that want to understand analytics potential before investing
Most popular
Dashboard Development
NPR 50,000 - 2,00,000 per dashboard
2-6 weeks
- 2-5 data sources
- Basic data warehouse setup
- Interactive dashboard
- Automated refresh
- Scheduled email reports
- Business user training
- Documentation
Best for: Organizations replacing manual Excel reports with automated dashboards
Predictive / Customer Analytics
NPR 1,00,000 - 3,00,000+ per model
4-8 weeks
- Historical data preparation
- Forecasting or segmentation model
- Model validation
- Dashboard or API deployment
- Prediction interpretation training
- Documentation
- Improvement roadmap
Best for: Organizations needing demand forecasting, segmentation, churn, or optimization
WHAT WE BUILD
Analytics System Patterns We Build
Analytics pattern · Nepal
Retail Sales & Inventory Dashboard
Store, product, category, district, margin, stock level, reorder point, slow mover, and Dashain/Tihar demand views for retail and wholesale teams.
Analytics pattern · Nepal
Customer Segmentation & CLV Workflow
RFM segments, VIP customers, at-risk customers, customer lifetime value, churn signals, cohort retention, and targeted marketing lists.
Analytics pattern · Nepal
Manufacturing & Supplier Analytics
Production efficiency, defect rates, supplier lead time, purchase order cycle, inventory turnover, and maintenance forecast dashboards.
Data Analytics Services for All 77 Districts of Nepal
Purba Tech Labs provides data analytics Nepal, business intelligence Nepal, dashboard development Nepal, data visualization Nepal, predictive analytics Nepal, customer analytics Nepal, sales analytics Nepal, inventory analytics Nepal, Power BI services Nepal, Tableau consulting Nepal, Metabase dashboards, Superset setup, data warehousing, and analytics training across all 77 districts. Whether you are a retailer in Pokhara, bank in Biratnagar, manufacturer in Birgunj, e-commerce business in Kathmandu, wholesaler in Nepalgunj, school in Dharan, or government/NGO team in Dhangadhi, we design analytics around your actual business questions.
Purba Tech Labs Pvt. Ltd.
Damak-6, Jhapa, Koshi Province, Nepal
📞 +977 9815186155
✉️ info@purbatechlabs.com
💬 WhatsApp: +977 9815186155
🕐 Mon-Fri, 9:00 AM - 6:00 PM
📞 +977 9815186155
✉️ info@purbatechlabs.com
💬 WhatsApp: +977 9815186155
🕐 Mon-Fri, 9:00 AM - 6:00 PM
FAQ
Frequently Asked Questions - Data Analytics Nepal
Data analytics services ko cost kati cha Nepal ma? (Data analytics services cost in Nepal)
Data Audit & Roadmap costs NPR 30,000-60,000 one-time. Dashboard development costs NPR 50,000-2,00,000 per dashboard. Predictive analytics costs NPR 1,00,000-3,00,000+ per model. Analytics training costs NPR 30,000-80,000 per day. Analytics consultation ma exact cost estimate ra analytics roadmap paaincha.
What is the difference between descriptive, predictive, and prescriptive analytics?
Descriptive analytics answers what happened through dashboards and reports. Predictive analytics answers what will happen through forecasting, churn prediction, and risk scoring. Prescriptive analytics answers what should we do through optimization, recommendations, and next-best-action guidance.
Do I need to replace my existing software to use analytics?
No. We connect to what you already use: Excel files, SQL databases, accounting software exports, POS or billing systems, eSewa/Khalti reports or APIs, Google Analytics, ERP data, and custom APIs. Your existing systems continue working while analytics sits on top.
Which BI tool should I use: Power BI, Tableau, Metabase, or Superset?
It depends on budget, users, data volume, and maintenance needs. Power BI is strong for Microsoft and Excel-heavy teams. Tableau is excellent for visualization but costs more. Metabase and Superset are open-source and good for budget-conscious teams with technical support. We are tool-agnostic and recommend based on your use case.
Dashain/Tihar demand forecasting garna analytics le help garcha?
Yes. Historical sales data can be used to forecast Dashain, Tihar, Teej, monsoon, and other seasonal demand patterns. Forecasts help plan inventory, staffing, purchase orders, promotions, and supplier coordination before peak season arrives.
What data do I need for customer segmentation?
At minimum, you need a customer identifier and transaction history: what they bought, when, and how much. With this, we can create RFM segments based on recency, frequency, and monetary value. Better segments are possible with location, channel, demographics, website behavior, and payment data.
How long does it take to build a dashboard?
A simple dashboard with 2-3 sources and basic KPIs takes 2-3 weeks. Medium dashboards with 5+ data sources, filters, drill-downs, and scheduled reports take 4-5 weeks. Complex dashboards with data warehouse and predictive models take 6-8 weeks.
Inventory cost ghatauna analytics le help garcha?
Yes. Inventory analytics can calculate reorder points, safety stock, slow-moving products, dead stock, turnover, and demand forecasts. Many businesses use this to reduce overstock, avoid stockouts, and improve purchasing discipline.
Customer lifetime value (CLV) kasari calculate garincha?
CLV usually combines average order value, purchase frequency, gross margin, and expected customer lifespan. For subscription businesses, it can use monthly revenue, margin, and churn rate. CLV helps decide which customers deserve retention campaigns and how much customer acquisition cost is acceptable.
Can I get analytics on eSewa/Khalti transaction data?
Yes. We can work with eSewa/Khalti reports or API data where available to analyze transaction volume, average transaction value, repeat purchase behavior, payment preferences, district patterns, and festival-driven spending changes.
How do I get started with data analytics in my organization?
Fill the form or WhatsApp us. We schedule a free consultation, review your sources, business questions, current reporting workflow, and data quality, then provide a Data Analytics Roadmap with priorities, tools, timeline, and budget.
What training do you provide for my team?
We provide role-based training for business users, analysts, managers, and IT teams. Topics include dashboard interpretation, Power BI/Tableau/Metabase basics, SQL where needed, data visualization best practices, and maintaining ETL or data warehouse pipelines. Training can be in Nepali and English.
GET STARTED
From Excel to Insights. Start with an Analytics Consultation.
Whether you're drowning in manual reports, guessing inventory levels, treating all customers the same, or wondering what's actually profitable - start with an analytics consultation.
✓ Analytics roadmap discussion - clear next steps
✓ Tool-agnostic: Power BI, Tableau, open-source, custom
✓ Works with Excel, SQL, eSewa/Khalti, Google Analytics
✓ Dashboards in weeks, not months
✓ Training in Nepali and English
✓ Reporting automation and scheduled delivery
✓ Demand forecasting and customer segmentation options
✓ Data warehouse and governance roadmap