Incorta Workflow: Embedding Interactive Applicatio...

JoeM · ‎03-13-2026

Incorta Workflow isn't just a framework for scheduling reports and writing data back to source systems — it's also the hosting layer for custom Streamlit applications that run directly inside your Incorta environment. By deploying Streamlit apps through Incorta Workflow, teams can build and deliver interactive, data-driven experiences that go far beyond what standard dashboards offer, all without moving data outside the platform or standing up separate infrastructure.

Streamlit transforms Python scripts into interactive web applications in minutes. When combined with Incorta's real-time data platform and hosted through Incorta Workflow, the result is a powerful way to build custom analytic tools — quickly, securely, and at scale.

Why Streamlit on Incorta Workflow?

There are four core advantages to building Streamlit apps on top of Incorta Workflow:

Live data access — Apps query Incorta's Direct Data Mapping layer in real time, with no ETL delays between your source systems and the end user.
Rapid prototyping — Custom analytic applications can be built and deployed in days, not months, using familiar Python tooling.
Governed and secure — Apps inherit Incorta's row-level security and role-based access controls automatically, so there's no need to rebuild security logic at the application layer.
Seamless integration — Connect to Incorta's Spark engine, SQL interface, or REST APIs depending on the needs of each application.

Architecture

Streamlit apps hosted on Incorta Workflow sit between your source systems and your end users, with Incorta as the data layer in the middle:

Source systems (Oracle EBS, SAP, Salesforce, Workday, Databricks, Snowflake) feed data into Incorta's Direct Data Mapping and Spark engine.
Incorta Workflow hosts and serves the Streamlit apps — dashboards, planning tools, writeback forms, AI/ML interfaces, and live query apps.
End users — executives, analysts, planners, and operations teams — interact with the apps through a familiar web interface.

The result: 100% data fidelity, sub-second query performance, no ETL required, and enterprise-grade security throughout.

Use Case Categories

Streamlit apps on Incorta Workflow address six broad categories of business need. Here's what's possible in each.

01 — Data Analytics

Interactive dashboards and exploratory analysis powered by Incorta's live, transaction-level data.

Executive KPI Dashboard Real-time KPI tracking with drill-down from summary to transaction-level detail. Users filter by business unit, date range, and metrics interactively — and executives get answers in seconds rather than waiting on analyst requests.

Self-Service Ad-Hoc Data Explorer Business users pick tables, apply filters, build pivot tables, and export results without writing SQL or filing an IT ticket. This democratizes data access and empowers non-technical teams to answer their own questions.

Multi-Source Data Blending Combine ERP, CRM, and external data — such as weather or market indices — in a single view. Side-by-side analysis of Oracle EBS, Salesforce, and SAP data eliminates the Excel-based manual blending that plagues most organizations.

Automated Report Generation & Distribution Generate PDF and Excel reports directly from Incorta data and distribute them by email with custom filters per recipient. Finance teams can replace manual month-end report creation and reclaim significant hours each cycle.

Data Quality & Anomaly Monitor Continuously scan Incorta datasets for missing values, outliers, and schema drift. Alert stakeholders before data quality issues impact downstream reports and decisions.

Interactive Financial Close Analytics Track journal entries, reconciliation status, and close progress across entities in real time. Drill into sub-ledger details on demand to accelerate month-end close with full transaction-level visibility.

02 — Planning & Forecasting

Collaborative planning workflows with scenario modeling and what-if analysis — replacing spreadsheet chaos with real-time, structured planning.

What-If Scenario Planning Engine Adjust revenue assumptions, cost drivers, and growth rates via interactive sliders. Instantly see the impact on P&L, balance sheet, and cash flow projections. Teams can run far more scenarios in less time, accelerating budget cycles significantly.

Demand Forecasting Dashboard Combine historical sales data from Incorta with time-series ML models such as Prophet and ARIMA. Visualize forecasts with confidence intervals and seasonality decomposition to substantially reduce forecast error compared to spreadsheet-based approaches.

Collaborative Budget Planning Workbench Department heads submit budgets via Streamlit forms. Roll-ups and cross-department comparisons happen automatically, with manager approval workflows and version control built in — eliminating the sprawling spreadsheet consolidation that slows most budget cycles.

Workforce Planning & Headcount Modeling Model hiring plans, attrition scenarios, and compensation impact. Visualize org-level headcount projections over 12–24 month horizons to align HR and Finance on a shared, data-driven plan.

CapEx Planning & Project Tracking Plan capital expenditures with approval workflows and track actual versus budgeted spend by project using live ERP data — improving capital allocation decisions with real-time project-level visibility.

Revenue Recognition & Backlog Forecasting Model revenue waterfall from bookings to recognized revenue, apply ASC 606 rules, and visualize backlog burn-down over time — giving Finance a clear, auditable view of future revenue flows.

03 — Supply Chain

End-to-end supply chain visibility, optimization, and proactive decision-making.

Inventory Optimization & SLOB Analysis Identify slow-moving, obsolete, and excess inventory across warehouses and recommend rebalancing actions with cost impact analysis. This use case has proven to reduce excess inventory by 15–20% and free up meaningful working capital at Incorta customers.

Supplier Performance Scorecard Score suppliers on delivery, quality, cost, and responsiveness. Trend analysis over time with drill-down to individual PO performance enables data-driven supplier negotiations and proactive risk mitigation.

Order-to-Delivery Cycle Time Tracker Track every order from placement through fulfillment in real time. Identify bottlenecks by stage, location, and product category to reduce order-to-delivery time through systematic elimination of friction points.

Demand-Supply Matching & Allocation Visualize demand signals against available supply and run allocation scenarios across channels and regions when supply is constrained — preventing stockouts at key locations while minimizing overstock elsewhere.

Production Line Stoppage Predictor Analyze patterns leading to line stoppages using Incorta's real-time data from MES and ERP systems. Flag at-risk lines before failures occur. This has been proven to prevent significant daily stoppage costs at tier-one automotive suppliers.

Logistics Cost & Route Optimization Analyze freight spend by carrier, lane, and mode. Simulate the cost impact of routing changes and carrier consolidation to drive meaningful reductions in logistics spend through data-driven decisions.

04 — Writeback

Close the loop — push decisions and edits from analytics back into source systems.

Sales Territory & Account Assignment Assign and reassign customers to sales reps via an interactive map and table interface. Changes write back directly to CRM and ERP, enabling territory rebalancing in hours rather than weeks.

Forecast Override & Adjustment Console Allow planners to review ML-generated forecasts and apply manual overrides with a full audit trail. Adjustments write back to planning tables, combining machine intelligence with human judgment while maintaining complete traceability.

Data Annotation & Comment Capture Business users add comments, tags, and classifications to data records directly from dashboards. Annotations persist in Incorta and sync to source systems — capturing institutional knowledge alongside the data itself.

Approval Workflow Engine Route budget submissions, price changes, or exception requests through multi-level approval chains. Status writes back to ERP, digitizing paper-based approval processes with full audit trail and SLA tracking.

Master Data Correction & Enrichment Flag and fix data quality issues — duplicate customers, missing fields, wrong classifications — through a structured Streamlit form. Corrections sync back to the source, improving master data quality where it originates.

Price List & Discount Management Review, edit, and publish pricing rules and discount tiers. Simulate margin impact before committing changes back to the pricing engine, speeding up pricing decisions while maintaining margin guardrails.

05 — AI & Machine Learning

Operationalize AI and ML models directly on Incorta's live, detailed data.

Predictive Maintenance Dashboards Deploy ML models on equipment sensor data in Incorta. The Streamlit app surfaces predicted failure dates, risk scores, and recommended maintenance actions — reducing unplanned downtime through proactive scheduling.

Customer Churn Prediction & Retention Score customer churn risk using behavioral and transactional data. Identify at-risk accounts and surface retention offers through the Streamlit interface to improve retention rates with targeted, early interventions.

Natural Language Data Query Users ask questions in plain English. An LLM translates the question to SQL, queries Incorta, and returns visualized results — powered by Incorta Nexus integration. Any employee can interrogate enterprise data conversationally, with no SQL required.

Anomaly & Fraud Detection ML models flag unusual transactions, spending patterns, or process deviations. The Streamlit app surfaces alerts, plain-language explanations, and investigation tools — catching fraudulent activity and process anomalies early.

Intelligent Document Processing Extract data from invoices, purchase orders, and contracts using AI. Validate extracted values against Incorta source data and route exceptions for human review, automating the majority of manual document processing in AP and AR workflows.

ML Model Performance Monitor Track model accuracy, drift, and feature importance over time. Compare model versions and trigger retraining when performance degrades — keeping production ML models accurate and trustworthy with continuous monitoring.

06 — Live External Data Queries

Query live data from Databricks, Snowflake, Oracle Apps, SAP, Salesforce, and more — directly through Incorta, with no data movement required.

Federated Cross-Platform Data Explorer Query live data from Databricks, Snowflake, Oracle Apps, SAP, and Salesforce in a single Streamlit interface. Users pick sources, join tables across platforms, and visualize results instantly — eliminating data silos without waiting for ETL pipelines.

Real-Time ERP Data Validation & Reconciliation Compare live Oracle EBS or SAP data against Incorta's analytics layer in real time. Highlight discrepancies in GL balances, inventory counts, or order statuses to catch reconciliation gaps in minutes — critical for month-end close.

Salesforce Pipeline Analytics with Live CRM Data Pull live Salesforce opportunity, account, and activity data into Streamlit dashboards. Enrich it with ERP billing and delivery data from Incorta for a complete pipeline-to-revenue view with no dependency on overnight CRM syncs.

Databricks / Snowflake ML Feature Store Browser Browse and explore ML feature tables stored in Databricks or Snowflake directly through Streamlit. Preview features, check freshness, and validate distributions before model training — so data scientists can validate feature quality in seconds.

Multi-Cloud Data Catalog & Lineage Viewer Visualize data lineage across Incorta, Snowflake, Databricks, and on-premises Oracle and SAP systems. Track where data originates, how it transforms, and where it's consumed — essential for compliance, audit, and governance.

Live External Data Writeback & Sync Monitor Monitor data sync status between Incorta and external systems. Alert on latency, failures, or schema mismatches, and trigger manual re-syncs from the UI — so operations teams can proactively manage data freshness before it affects analytics.