Presear Labs transforms fragmented enterprise data into clear, actionable intelligence — with self-serve dashboards, predictive models, and AI-powered analysis that decision-makers can use without waiting for IT.
From raw data ingestion to C-suite dashboards, Presear Labs covers the full analytics stack without stitching together six separate tools.
Unified Data Connector
Pre-built connectors for 150+ sources — ERP, CRM, HRMS, databases, cloud storage, APIs, and flat files. Data pipelines auto-refresh on schedule or trigger-based, always keeping dashboards current.
Self-Serve Visual Analytics
Drag-and-drop dashboard builder with 40+ chart types. Business users can slice, filter, and drill down without SQL knowledge. Publish dashboards to teams with role-based data visibility.
Predictive Analytics Engine
Auto-ML models for demand forecasting, churn prediction, sales forecasting, and anomaly detection — trained on your own data with explainability built in for business users, not just data scientists.
Natural Language Query
Ask questions in plain English — "What were the top 5 revenue SKUs last quarter?" — and get instant chart responses. No SQL, no ticket to IT. Just answers in seconds from your own data.
Automated Alerts & Anomaly Detection
Set threshold-based alerts or AI-driven anomaly detection on any metric. Get notified via email, SMS, or Slack before a KPI crosses a critical boundary — not after the monthly review.
Governed Data Catalog
Central metadata catalog with data lineage, business glossary, and row-level security. Know where every number comes from, who can see it, and what it means — enforcing a single version of truth.
Analytics Implementation
From Data Chaos to Decision-Ready in Weeks
A structured engagement that gets your first business-critical dashboard live fast, then scales to cover the enterprise.
01
Data Audit & KPI Mapping
We start by mapping your key business questions to the data that exists — identifying sources, gaps, quality issues, and the metrics that will drive immediate value.
Stakeholder interviews: what decisions need better data
Inventory of all data sources and their quality
KPI definition and business glossary alignment
Data ownership and access control mapping
Avg. data sources audited
12–30 sources
Phase duration
Week 1–2
02
Data Architecture Design
Design the data warehouse schema, semantic layer, and refresh strategy to ensure dashboards are fast, consistent, and trusted by everyone in the organization.
Data warehouse / lakehouse design
Star schema modeling for analytical workloads
Semantic layer for business-friendly metrics
Refresh cadence and SLA definition
Query performance target
< 3 second loads
Phase duration
Week 2–3
03
Data Pipeline Build
Build and test automated ELT pipelines from all source systems to the analytics layer, with data quality checks, transformation rules, and alert-on-failure monitoring.
ELT pipeline development and source connectors
Data transformation and cleansing rules
Reconciliation between source and target
Pipeline monitoring and alerting setup
Pipeline uptime SLA
99.9%
Phase duration
Week 3–5
04
Dashboard Development
Co-build dashboards with business stakeholders — starting with 3–5 high-impact use cases — with iterative reviews until every chart answers a real business question.
Co-design sessions with business stakeholders
Role-based dashboard and data access setup
Mobile-responsive layout for field users
Stakeholder UAT and sign-off
Initial dashboard package
3–5 use cases
Phase duration
Week 5–7
05
Adoption & Scale
Train users, establish a data culture, and set up a governance model so the platform grows with your organization — not just with IT capacity.
End-user training and self-serve enablement
Data governance committee setup
Center of excellence playbook
Roadmap for predictive analytics expansion
Go-live target
Week 8
Post go-live support
30 days included
Industry Applications
Data Intelligence for Every Vertical
The questions change. The platform stays the same. Presear Labs adapts to what matters most in your industry.
Retail & E-Commerce
Unified Commerce Analytics
Combine point-of-sale, website, inventory, and loyalty data to understand margin by channel, predict stock-outs, identify the highest-value customer segments, and optimize promotions in real time.
↑ 22% improvement in promotional ROI
Manufacturing
OEE & Supply Chain Intelligence
Connect shop-floor sensor data, ERP, and supplier feeds to track Overall Equipment Effectiveness, predict maintenance windows, and optimize procurement before shortages cascade into production delays.
↑ 30% reduction in unplanned downtime
Financial Services
Risk & Revenue Analytics
Consolidate lending, deposit, and transaction data into a single risk-adjusted revenue view. Monitor portfolio health, detect early delinquency signals, and model regulatory capital requirements.
↑ 40% faster regulatory reporting cycle
Healthcare
Clinical & Operational Intelligence
Track bed occupancy, average length of stay, revenue per patient, and department-level margins while surfacing clinical quality indicators that help medical teams improve outcomes.
↑ 25% improvement in resource utilization
FAQ
Common Questions
What data sources does Presear Labs connect to?
Presear Labs connects to 150+ sources including MySQL, PostgreSQL, MS SQL Server, Oracle, SAP, Tally, Salesforce, Presear ERP/CRM/HRMS, Google Sheets, REST APIs, and flat files (CSV, Excel). Custom connectors can be built on request.
Do our business users need to know SQL?
No. The self-serve drag-and-drop interface and natural language query capability mean business analysts and managers can explore data and build reports without writing a single line of SQL.
Where is our data stored?
All data is stored on Presear Cloud infrastructure within Indian data centers with encryption at rest and in transit. For regulated industries, private deployment on your own cloud or on-premise environment is also available.
How long until we see our first dashboard?
Typically 2–3 weeks for the first live dashboard from standard sources. Complex multi-system environments may take 4–6 weeks. We prioritize one high-value use case first so stakeholders see immediate ROI.
Can non-technical teams maintain the platform?
Yes. After initial setup, business analysts can add new data sources, create dashboards, and manage user access without developer involvement. Presear Labs is built for business ownership, not IT dependency.
Is predictive analytics included in the base platform?
Core predictive templates (demand forecasting, churn prediction, anomaly detection) are included. Custom model development — trained on your proprietary data with domain-specific feature engineering — is available as a professional services engagement.
Stop Making Decisions Based on Last Month's Spreadsheet
Presear Labs puts real-time, predictive intelligence in the hands of every decision-maker in your organization.