Unify every subscriber touchpoint, offer, and recharge in real time to drive ARPU, reduce churn, and outpace Tata Play and Airtel Digital TV.
SCIKIQ transforms DishTV’s fragmented recharge, customer, and content data into actionable intelligence—powering proactive retention, personalized offers, and operational efficiency at scale.
Captured from 13 sources across strategy, leadership, lines of business, competition, geographies, capabilities and recent signals — and used to ground everything below.
The maturity curve runs from visibility, to explanation, to natural-language reasoning, to action — and each step depends on the one before it.
Gain a unified, real-time view of every subscriber, recharge, and device across DTH and OTT lines—eliminating blind spots and enabling instant action.
GrowthModel the relationships between content packs, recharge cycles, payment failures, and churn events to pinpoint root causes and intervene early.
ProfitabilityAsk natural-language questions—'Which premium subscribers have missed their recharge?'—and get explainable, actionable answers grounded in real data.
Competitive AdvantageLaunch autonomous agents to trigger personalized offers, automate recharges, or escalate to retention teams—closing the loop and protecting revenue.
Operational EfficiencySCIKIQ enforces data lineage, quality, and access controls—reducing regulatory risk and ensuring compliance with TRAI and data privacy mandates.
Compliance & RiskBuilt bottom-up, because trust compounds upward: agents are only as safe as the copilot's grounding, the copilot only as reliable as the graph, the graph only as complete as the 360° model beneath it.
Aggregate and harmonize customer, recharge, and device data from CRM, billing, and OTT platforms.
Link subscribers, packs, payment events, and churn to reveal causal paths and intervention points.
Natural-language queries over unified data—get actionable answers, not just reports.
Launch agents to automate recharges, offers, and compliance checks—closing the loop instantly.
Data remains in place; SCIKIQ integrates business concepts across CRM, recharge, OTT, and payments, not just systems.
200+ pre-built connectors ingest subscriber, recharge, device, and payment data from all core platforms.
SCIKIQ tags and harmonizes entities—linking subscribers to packs, devices, and payment events.
Duplicates resolved, relationships mapped—building a business graph of every subscriber, recharge, offer, and churn event.
Lineage, quality, and access controls enforced for audit-readiness and compliance.
Unified view of every subscriber’s profile, packs, recharges, complaints, and churn risk.
All recharge attempts, methods, failures, and offers—mapped to users and packs.
All DTH and OTT packs, pricing, features, and cross-sell/upsell links.
Track all set-top boxes, Joey receivers, activations, and health.
All regulatory events, audits, and privacy controls tied to subscriber and pack data.
SCIKIQ delivers a unified, AI-ready data fabric in under 6 months—at 60% lower TCO and 85% faster integration than custom builds, with proven DTH/OTT connectors.
Goes beyond dashboards—contextualizes recharge, churn, and offer data into actionable, closed-loop interventions, not just reports.
Purpose-built for subscription businesses—models packs, payments, churn, and compliance, with 200+ connectors for CRM, recharge, and OTT platforms.
Grounds every Copilot answer in governed, real-time business data—ensuring explainability, compliance, and actionability, not hallucinations.
When the four layers are in place, leadership sees a single live view — every number traceable to its source, every alert to its root cause.
Entities and their typed relationships as one connected, physics-driven graph. Drag nodes, scroll to zoom, click to inspect — or trace the live scenario from root cause to business outcome.
Ask SCIKIQ Copilot for plain-language answers grounded in DishTV’s real data. Language models supply the fluency; the graph supplies the truth.
Every agent draws on the same graph and semantic layer — then closes the loop with a real transaction in the source system.
“Can we trust it?” — answered by design, not by promise.
Every leader sees themselves — each use case builds on a business 360 and the four pillars it needs: 1 Enterprise 360 · 2 Knowledge Graph · 3 AI Copilot · 4 Agent Factory.
Unify every subscriber’s recharge, pack, and complaint history to flag churn risk and trigger rescue actions instantly.
Monitor real-time collections, ARPU, and recharge failures—drill down to root causes and automate recovery.
Automate compliance checks and audit trails for packs, pricing, and subscriber data—minimizing regulatory risk.
Target high-value segments with tailored offers and OTT cross-sell—measuring uplift and ROI in real time.
Track device health, installation cycle times, and multi-TV household adoption to optimize field ops and reduce churn.
Built once, the context layer becomes shared infrastructure — so each new AI initiative starts from enterprise context, not a blank integration backlog.
We would prove the context layer in three focused sprints — earning the right to scale with evidence, not slideware.
Connect and harmonize core data sources for a unified subscriber and recharge view.
Model relationships and enable semantic Q&A over unified data.
Automate retention, payment, and compliance workflows with agents.
A unified, intelligent data fabric powering growth, retention, and compliance at scale—delivering measurable ARPU uplift and churn reduction.