RAN, Core & Transport KPI monitoring (near-real-time and 15-minute windows)
Problem
Network operations teams need near-real-time and 15-minute aggregated visibility across RAN, Core, and Transport layers, often from Ericsson, Nokia, Huawei, and ZTE in different vendor formats.
Solution
Data Ingester normalises multi-vendor counters; Transformer Module runs matched aggregation windows on Spark; Anomaly Detector flags regressions on the live stream; Forecaster projects capacity; Analytics delivers NOC dashboards.
Data IngesterTransformer ModuleForecasterAnomaly DetectorAnalytics
EMS and OpenTelemetry fault monitoring with autonomous RCA
Problem
Faults are detected, but root cause requires manual investigation across EMS systems, logs, and expert notebooks, usually at 3am.
Solution
Anomaly Detector surfaces anomalies on live telemetry; Sherlock runs decision-tree RCA correlating alarms, change events, and historical failures; ProcBot triggers and verifies remediation.
Anomaly DetectorSherlockProcBot
Nokia & Samsung vendor-procedure automation (gNB, eNB, CHR routers)
Problem
Vendor procedures are manual, error-prone, and depend on specialised knowledge that lives in three engineers who are always on the critical path.
Solution
Agents read vendor documentation and draft executable scripts; ProcBot orchestrates execution against the target elements; Sherlock validates post-run outcomes before handing back to the operator.
ProcBotSherlockAI agents
BSS billing and rating reconciliation to stop silent revenue leakage
Problem
Billing and rating systems drift out of sync with the network, causing revenue leakage that is invisible until a monthly audit.
Solution
Anomaly Detector detects misalignments in near-real-time; Sherlock diagnoses the cause by correlating rating events with billing records; ProcBot opens a case-management workflow for accounting to resolve.
Anomaly DetectorSherlockProcBot
Enterprise cash-flow forecasting (AR, AP, bank statements, fixed obligations)
Problem
Treasury teams need accurate multi-week cash-flow predictions pulled from a patchwork of ERP, billing, and banking feeds, usually reconciled in a 40-tab spreadsheet by one senior analyst.
Solution
Data Ingester pulls AR, AP, and bank feeds on schedule; Transformer normalises currency and timing; Forecaster runs an ensemble of time-series models with confidence intervals; Analytics delivers a governed treasury dashboard.
Data IngesterTransformer ModuleForecasterAnalytics
Multi-source finance consolidation with governed lineage
Problem
Finance data lives across ERP, billing, and banking systems in different grains, currencies, and calendars, with no lineage anyone trusts at audit time.
Solution
Advance ETL consolidates sources into a single analytical layer; Data Catalog emits source-to-report lineage automatically; PII is auto-classified on arrival.
Data Ingester (Advance ETL)Transformer ModuleData CatalogAnalytics
Scheduled executive KPI dashboards with distribution
Problem
Leadership needs consistent weekly KPI reporting without asking an analyst to rebuild the pack every Monday.
Solution
Scheduled Analytics dashboards with RBAC-governed access; delivery via email or SFTP on any cadence; drill-through into the underlying governed data.
AnalyticsScheduled Delivery
Near-real-time warehouse sync via Change Data Capture
Problem
Nightly batch windows leave operational reporting hours to a day behind the transactional truth.
Solution
Change Data Capture (log, query, or trigger-based) replaces the nightly batch with minute-grained sync; schema drift is caught before it breaks downstream.
Data Ingester (CDC)Transformer ModuleAnalytics
Self-serve data APIs for product teams
Problem
Product teams wait weeks for the data team to build the custom report they need for this sprint.
Solution
Data Insider exposes governed data as a versioned REST API with rate limits and row and column-level security; product engineers build against it like any other service.
Data InsiderAnalytics
ML feature pipelines with drift monitoring
Problem
Manual feature engineering in notebooks delays every model retraining cycle.
Solution
Transformer Module builds a visual Spark feature pipeline; ML Studio trains, deploys, and monitors for drift with versioned REST endpoints.
Transformer ModuleML Studio
Demand forecasting across long-tail SKUs
Problem
Manual forecasting spreadsheets buckle under hundreds of SKUs and seasonality changes.
Solution
Forecaster runs time-series algorithms per SKU on a daily schedule; Analytics surfaces accuracy trends and backtests.
ForecasterAnalytics
Service desk and provisioning automation
Problem
Repetitive ticket triage and provisioning tasks drain IT hours with zero strategic upside.
Solution
ProcBot workflows handle routing, approvals, provisioning, and notifications end to end, with full audit.
ProcBot
PII classification and audit readiness
Problem
Compliance audits require manual classification of PII and hand-written lineage documentation.
Solution
Data Catalog auto-tags PII at ingest, applies classification, and generates audit-ready lineage reports across every module.
Data CatalogSMART framework
Don't see yours? The platform is general-purpose; these are illustrative patterns from live deployments. Tell us about your specific workload and we'll map it to the relevant modules.
