Improve Operational Efficiency by up to 40% with Oracle Data Warehouse and Analytics Services
Leverage Data for ROI That Matters
Expert data warehouse and analytics underpinned by Oracle Tech Stack
Oracle Database 23ai integrates artificial intelligence directly into the database to help your business get more value from data. From fraud detection to personalized recommendations, 23ai’s AI-driven features and automation deliver accelerated and actionable insights.
Move beyond keywords and store text, images, and audio as vectors for similarity-based searches, enabling richer, context-driven insights.
Fortify your data by proactively stopping unauthorized queries, underpinned by enterprise-grade security built right into Oracle Database 23ai.
True Cache turbocharges your applications with instant responses and fast, reliable performance as your business grows.
Uncover hidden patterns and connections in your data with Oracle Database 23ai’s property graphs, to reveal insights traditional queries miss
Simplify app development with Oracle Database 23ai’s JSON Relational Duality, seamlessly blending table and JSON data views for faster, more flexible solutions.
Our expertise in Oracle enterprise data warehouse enables us to combine data lakehouse architecture with the built-in ADW analytics to deliver custom granular analytics that deliver outcomes-focused intelligence. We help organizations harness the power of data across different clouds and data stores.
Leverage Oracle’s built-in automation for tasks like provisioning, tuning, scaling, and securing to reduce complexity, minimize errors, and free up your team to focus on what matters.
Whether you’re dealing with a sudden spike in queries or a growing number of users, the ADW deployment keeps everything running smoothly without intervention.
Benefit from over 99.995% availability with built-in automatic failover, disaster recovery, and parallel infrastructure.
Identify and mask sensitive data with an integrated security dashboard and flag risky behavior.
Load, clean, transform, and explore data from over 100 sources using drag-and-drop workflows to democratize data usage.
We harness the full-featured suite of Oracle analytics to empower stakeholders with intelligence that fuels improved decisions. With us, organizations can experience the spectrum of Oracle data analytics solutions built-to-scale and get a consistent and single pane of glass on business performance.
We bring your insights to life with clear, visual storytelling to help you explore complex data relationships visually, easily, and optimally.
Uncover patterns and forecast outcomes to get unbiased insights, customized as per project and domain needs.
Get smart alerts, personalized reports, and even verbal search-based insights in over 25 languages, through the mobile app.
Ensure dataset hygiene by fixing issues in real-time, with intelligent recommendations based on your business context.
Get a consistent, business-friendly view of enterprise data where stakeholders see the same KPIs, hierarchies, and definitions.
We support an organization’s efforts to align data insights with real-world businesses needs by leveraging the full spectrum of features and applications in Oracle Fusion Data Intelligence. From setup to optimization, our Oracle experts help deliver actionable intelligence across finance, HR, supply chain, and more.
Power intelligent decisions with prebuilt AI/ML-driven apps that go beyond reporting to support real-time, context-aware actions.
Choose from 2,000+ best-practice KPIs and analytics across ERP, HCM, SCM, and CX, aligning performance with business goals.
Enrich data by bringing together Fusion Cloud and external data, giving decision-makers a complete, real-time 360° view.
Harness AI and ML models to forecast outcomes, identify risks, and surface hidden opportunities and get better data ROI.
Extend Fusion Data Intelligence to include custom analytics, third-party data, and generative AI to fulfil all your Oracle data analytics requirements.
Growexx accelerates data warehouse performance by using Oracle Data Integrator to push transformations directly to the target database, eliminating traditional ETL bottlenecks. The result is faster data loading, streamlined pipelines, and a modern integration layer built for scale.
Run transformation inside the target database, making the processes faster, cheaper, and without burdening your existing systems.
Sync data in real-time using Oracle GoldenGate and manage large-scale processing by generating native Apache Spark code.
Prebuilt connectors and modular design make it easier to bring all your data together from cloud apps to legacy systems, without building from scratch.
Reuse mapping logic, guided workflows, and innovative design tools to speed up data integrations.
See how data moves across your systems with built-in tracking and version history from a central location.
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Build Scalable, Insight-Driven Solutions that Turn Enterprise Data into Decisive Action.
Driving smarter decisions across verticals with Oracle Data Warehouse & Analytics Services
Discover How Oracle Data Warehouse and Analytics Services Drive Real-World Transformation Across Industries
A global manufacturer operating plants across Asia, Europe, and North America began noticing a troubling rise in product returns and warranty claims despite having strict quality protocols in place. On closer inspection, the problem wasn’t the standards but the visibility.
Quality leaders couldn’t get a clear, connected view of defects, supplier issues, or process deviations. Data was fragmented—scattered across production systems, supply chain platforms, and customer support tools. As a result, root cause analysis lagged, and recurring issues slipped through the cracks.
To turn the situation around, we helped unify critical data from MES systems, supply chain feeds, production equipment, and support channels into a centralized data layer. Oracle’s analytics platform brought it all together, giving quality teams and plant managers a real-time view of what was happening—across regions, suppliers, and lines.
Leaders gain a live view of pass percentage, defect rates, and warranty claims across every plant, with the ability to drill into specific lines, or suppliers.
Early warnings kick in when certain thresholds are nearing breach, allowing teams to intervene before issues escalate.
The organization can track supplier performance over time, supporting smarter procurement and faster issue resolution.
Recurring defect trends are looped directly into the design and R&D pipeline to resolve flaws early.
A regional bank in the US did not know how to leverage its data to usher in an era of modernization. Data sits across different systems, in its core platform, third-party servers, a cloud environment or a local server. Stakeholders who are entrusted with change management have no clear visibility and no connection to various data streams.
We pulled all essential data, including core banking transactions, card swipes, mobile activity and more, into a centralized data warehouse. Raw information is converted into intelligence by adding a layer of context with FDIP; static records are converted into dynamic customer intelligence. With Oracle Analytics Cloud, the banking teams now have the tools to interact with this data. They can go through the intuitive dashboards and make decisions that add strategic value.
Relationship managers get insights into credit usage and digital engagement to spot upsell and cross-sell opportunities.
Card and ACH transactions stream through ML models, reducing false positives and surfacing real threats.
End-of-quarter reports that used to take weeks are now pulled together in just a few hours, with full audit trails included.
Pre-approved loan or card offers are made available automatically to customers based on spend patterns and life-event triggers, delivered via mobile push.
A national logistics company was grappling with shipment delays, and a focused analysis couldn’t explain why these delays were occurring. Customer service teams were unable to offer clarity to customers. The operations teams put the blame on various reasons like inconsistent vehicle data, and the weather. Finally, stakeholders realized that the problem was scattered data. Truck telematics, route schedules, warehouse inventory and customer updates were in different systems, and not talking to one another.
Our teams focus was on connecting the dots. Core systems such as fleet tracking, order management, inventory records, customer interactions are now connected and brought into a central Oracle Autonomous Data Warehouse.
With Fusion Data Intelligence, raw feeds are turned into useful signals: transit delays, traffic bottlenecks, warehouse choke points, even seasonal demand shifts. This data can be consumed in real-time from dashboards inside Oracle Analytics Cloud, allowing route planners and dispatchers to spot problems before they become bottlenecks.
The company can now anticipate delays. Teams can reroute shipments, adjust labor allocations, or notify customers before frustration sets in.
Centralized dashboards provide real-time updates on shipment location, vehicle status, and delivery progress.
ML models flag early signs of delivery risks such as route bottlenecks, idle vehicles, or weather disruptions.
Teams can identify bottlenecks, balance workloads, and improve coordination between inbound and outbound logistics.
Accurate, live shipment data helps reduce resolution times, improving communication with customers.
For a retail chain, its digital ambitions and operational realities were like two ends that did not meet. The company’s investments in e-commerce, in-store systems, and loyalty programs, were not delivering returns because the data remained locked in different environments. Marketing platforms owned customer behaviors, while inventory data was siloed in warehouse systems, and POS data in local servers.
We consolidated the retailer’s data silos into a unified, cloud-based environment. Oracle Data Integrator pulls information from online, in-store, and backend systems into the Autonomous Data Warehouse. Fusion Data Intelligence adds context, allowing the business to understand not just what customers bought, but how and where they engaged.
With Oracle Analytics Cloud, teams now see key metrics in real time, from regional buying shifts to SKU-level demand. Decision-makers across merchandizing, operations, and marketing can finally work from a single, trusted source of insight.
Track shifts in buying patterns, seasonality, and location-based preferences to enhance promotions at the granular level.
Leverage real-time sales and stock data across channels to reduce overstock and stockouts across warehouses and stores.
Analyze historical offer redemptions, sales spikes, and timing windows to fine-tune promotional strategies.
Consolidate data from POS systems, e-commerce platforms, and loyalty programs to build a 360° profile for better engagement.
A large multi-speciality healthcare provider operating across multiple hospitals and diagnostic centres struggles to turn its data into meaningful clinical or operational improvements. Patient records are housed in an EHR system, lab results come from external diagnostic platforms, and billing and patient data are stored in separate tools.
Key stakeholders, including physicians and managers, lack a real-time view of patient history.
We helped the provider bring together patient, clinical, operational, and financial data into a centralized environment underpinned by Oracle’s Autonomous Data Warehouse. With Oracle Data Integrator and Fusion Data Intelligence, the automated data flow between systems adds a contextual layer from the clinical perspective. Patient records, diagnostics, prescriptions, and billing are now connected.
Care teams and administrators can now access this unified data through live dashboards that flag patient risk scores, appointment no-show patterns, and resource bottlenecks. The healthcare provider has moved from dissecting information after the fact to proactive decision-making.
Data from EHRs, diagnostic labs, and patient portals from centralised dashboards drives coordinated and timely clinical decisions.
Predictive modelling of patient history, chronic condition data, and vitals identifies high-risk individuals and prioritizes care interventions.
Insights from historical appointment trends, seasonal illness spikes, and department-level workloads forecast staffing and resource needs.
Track admission rates, average length of stay, readmissions, and appointment utilization in real time.
Unified engagement data from call centers, apps, and feedback tools to understand satisfaction drivers
We offer outcomes-focused Oracle data analytics services that can deliver accelerated reports, improved decision-making and improved business outcomes. With us, clients have experienced up to 40% increase in operational efficiency, 25-30% improvement in quality, and an all-round improvement in forecasting.
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