DATA ANALYTICS
One Data Language Across Every System
The fastest companies run on one truth. Solve one enterprise data challenge in 5 days. Make it permanent.
Create a Single Data LanguageYour Systems Create Records. None of Them Are Master.
Every platform promises a “single view of the customer." You have six platforms. You have six views. None of them match. Syncs run overnight. Decisions can't wait. Campaigns launch to segments built on yesterday's data or last week's. One customer exists as multiple profiles. Revenue is attributed to the wrong source. Customer lifetime value calculations conflict across teams.
Same Customer. Multiple Identities. No Master Record.
A customer updates their email on your website. CRM still has the old one. Marketing automation has both. Support has neither.
A customer completes a purchase. One system shows them as active. Another marks them inactive. A third system doesn't show the transaction at all.
Data Syncs Fail Silently. Teams Work Blind.
Your CDP-to-email sync breaks on Friday night. Monday's campaign launches to a segment from last Thursday. Nobody knows until the open rates tank.
A customer cancels their subscription. The cancellation doesn't reach all systems. Marketing keeps sending offers. Support shows them as active. Billing writes them off.
Every Team Reports Different Customer Counts
Finance reports 47,000 customers, Sales reports 52,000, and Marketing reports 44,000. Same source, different counts
A customer's status changes in one system. It takes 24 hours to reach others. Campaigns launch to outdated segments. Offers go to people who already converted.
Data Has No Trail. No Protection. No Governance.
An analyst pulls customer data for a report. Nobody knows if it includes regulated data. No audit trail. No approval workflow. Compliance discovers it during a security review
Customer PII sits in a storage bucket with public read access. You find out during an audit, not before a breach.
Data Built for Decision-Making
One customer record. One set of metrics. Real-time propagation. Enforced integrity.
Customer profiles merge into one master record
Identity resolution connects fragmented profiles across all platforms. A customer updates their email and sees it reflected everywhere within seconds. No duplicate campaigns, no split records. Revenue attributes to one customer, not three.
Teams operate from matching numbers
Standardized metric definitions eliminate counting discrepancies. Finance reports 47,000 customers, Sales reports 47,000, Marketing reports 47,000. Same query, same result. Manual reconciliation disappears.
Systems update together, not separately
Real-time data propagation replaces delayed batch processing. A customer opts out at 10:15 AM; by 10:16 AM every system knows. Outdated segments and consent violations disappear.
Data arrives complete, not corrupted
Validation catches errors at entry point instead of downstream. Format problems trigger immediate alerts, not silent drops. Data integrity holds from source to storage.
Analytics Products Built for Decision and Control
Analytics tools that deploy automatically, optimize costs, and answer business questions in plain language.
Turns business questions into instant insights
User asks: “Why did revenue drop last week?” Click Insights instantly shows the reason, charts, and key breakdowns. No SQL. No BI dependency. No waiting for reports.
Book a Demo →Pick One Problem. Build the Solution. Scale It.
Customer identity fragments? Metrics conflict? Data syncs fail? Start with one. Fix it in 5 days. Deploy in 60. Then systemize.
Start with a Bootcamp →
Bootcamp
(5 Days)Working fix for identity, sync, metrics, or quality
A 5-day engagement focused on one live breakdown: fragmented customer profiles, failed syncs, conflicting metrics, or data quality loss.
The fix is built end-to-end using your actual systems and data. Identity resolution connects CRM to POS. Sync monitors catch failures. Metric definitions standardize. Quality validation blocks bad data at entry.
Launchpad
(60 Days)Production with governance and monitoring
The fix moves into production with live data flows. Identity resolution runs continuously. Sync monitoring alerts on failures. Metric definitions apply across teams. Quality rules are enforced at every ingestion point.
Governance controls activate. Your teams take over daily operations.
Rollout
Same fix across all affected systems
The pattern replicates to additional systems and data sources. Each cycle takes less time because identity, sync, metrics, and quality infrastructure already exists.
Identity extends to mobile and support. Sync covers all platforms. Metrics align Finance, Sales, and Marketing. Quality is enforced across all pipelines.
Digital OS
Manage all data operations centrally
All data operations integrate into a single control layer. Identity resolves automatically. Syncs monitor continuously. Metrics stay aligned. Quality enforced at source.
Changes deploy without vendor dependencies. Data operations become self-service.
Real-World Data Problems.Real Execution.
Practical analytics execution across data, systems, and decision layers without replatforming.
View Case Study→Precise Customer Targeting - High-potential customers identified using unified analytics
CHECKOUT
Deploy One Version of Truth Across All Systems
One customer record across all platforms. One set of metrics teams trust. One sync monitoring layer. One quality validation framework. Your stack. Your data.
Customer Endorsements
"The impact delivered by the Xerago team clearly demonstrated how analytics and AI can move from concept to real business value. Their ability to translate complex data into actionable insights has strengthened our confidence in data-driven decision-making and significantly elevated our engagement strategy."
— Insurance Client, BFSI Sector