The Data Dilemma: Why Your Foundation Matters More Than Ever
Your business is racing toward AI-driven insights, real-time analytics, and automated decision-making. But there’s a problem. Your data is stuck.
Trapped in siloed ERP systems. Bottlenecked by slow, brittle ETL pipelines. Refreshing only once a day (if you’re lucky). The reality is: If your data isn’t accessible, integrated, and near real-time today, you’re not set up for success tomorrow.
- Multi-cloud strategies demand flexibility—not rigid, one-way pipelines.
- Business agility requires speed—not weeks of IT-heavy setup.
- AI/ML models need fresh, detailed data—not stale snapshots.
Yet most companies are still being held back by
- Legacy ETL tools that take months to deploy.
- Batch-based refreshes that leave decisions lagging.
- Sky-high TCO from complex modeling and maintenance.
Fragmented data frustrations
Picture this: Your finance team needs a consolidated view of revenue across 5 systems. Your operations group is waiting 48 hours for inventory updates. Your analysts spend 70% of their time stitching together reports instead of generating insights.
This isn't just inefficient—it's costing you opportunities.
Every day, businesses struggle with:
- Data trapped in ERP silos (Oracle, SAP, Workday)
- Batch updates that leave you working with yesterday's numbers
- Endless reconciliation across multiple versions of the truth
- IT backlogs for simple data access requests
The reality? If you can't access ALL your data—live, in detail, across every source—you're making decisions in the dark.
Enter Incorta Connect
Fortune 500 leaders from Broadcom to Shutterfly trust to deliver live, detailed, analytic-ready data from any source - now with modular flexibility. Start solving your core data problems today (getting your data live and where it needs to go), then add on AI and advanced analytics when you’re ready.
Why It Works
Low TCO, Faster Time to Value
- Deploy in days, not months: Skip dimension modeling and cut setup by 80%.
- Pay as you scale: Start small (just ingestion), then add capabilities like AI without replatforming.
- Slash maintenance: Low-code pipelines reduce IT dependency.
Instant Access to Live Data (No More Waiting)
- Direct Data Mapping® technology extracts raw business data without staging tables or pre-aggregation.
- 200+ native connectors pull from Oracle, SAP, Workday, and more in minutes, not weeks.
- Incremental refreshes every 5 minutes (vs. nightly batches) ensure your decisions are based on the latest data.
Automated Harmonization (No More Manual Stitching)
- Schema-aware automation detects and adapts to ERP changes (no broken pipelines).
- Multi-source unification merges ERP, CRM, and legacy data without manual SQL joins.
- Built-in semantic layer ensures consistent metrics across reports.
Flexible Delivery to Any Destination
- Push data directly to Snowflake, BigQuery, or Databricks for cloud analytics.
- Feed Google BigQuery, Power BI, Tableau, Looker, and more with near real-time datasets.
Modular Scalability (Start Now, Scale Smart)
- Phase 1: Solve urgent data access problems (e.g., Oracle-to-Cloud migration).
- Phase 2: Enable real-time dashboards and self-service analytics
- Phase 3: Power AI/ML models with high-fidelity training data.
- Solve Your Biggest Pain First
- Instantly access Oracle, SAP, and 50+ sources—no custom code.
- Harmonize multi-ERP data without drowning in transformations.
- Deliver to BigQuery, Snowflake, Databricks in minutes, not hours.
- Built for the Future
- Get real-time data for AI agents: Fuel LLMs and automation with live transaction data.
Incorta Connect gives you what you need today—with a clear path to more.
Who is Incorta Connect for?
✔ Oracle/SAP-centric organizations drowning in migration complexity.
✔ Teams with Snowflake/Databricks tired of waiting for fresh data.
✔ AI/ML leaders who need real-time ERP feeds for agents.
Bottom line: If your data isn’t fast, flexible, and fully integrated, nothing else matters.
Incorta Connect In Action: From 10-Week Oracle Migrations to Real-Time Financial Reporting
Case Study: Fortune 500 CPG Company
Problem:
- Needed to migrate Oracle Fusion data to BigQuery for advanced analytics.
- Legacy ETL required custom coding, manual schema updates, and daily batches—leading to delays and errors.
See the full announcement here:
Learn more about how it works: