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CI/CD, utPLSQL & Playwright Regression Suites" ], "anonymized_case_proof": "Engineered a custom B2B pricing REST API and ATP caching layer bridging an enterprise e-commerce storefront with Oracle Fusion Cloud ERP for a healthcare supply chain organization, achieving 100% ordering uptime across ERP patch windows.", "faqs": [ { "q": "What are the primary levers that control the cost of B2B ERP Zero-Downtime Pricing Cache?", "a": "Cost is controlled by five levers: (1) collapsing cloned query fan-out across contract sku pricing combinations into canonical core SQL views, (2) percentage of business logic already in database packages vs. UI triggers, (3) production data quality profiled during Phase 0, (4) external integration/SSO count, and (5) cutover downtime requirements." }, { "q": "How does your tool convert binaries (.fmb, .rdf, etc.), map database metadata, and generate documentation?", "a": "Our automated analyzer parses legacy binaries and source files, extracts every trigger, query, and UI control, cross-references them against live database dictionary metadata (ALL_TAB_COLUMNS, ALL_DEPENDENCIES), profiles actual column data distributions, and automatically generates the Business Requirements Document (BRD), Technical Approach Doc, Test Specifications, and Verified Test Results." }, { "q": "What does a typical project timeline look like from kickoff to production cutover?", "a": "Projects follow four gated phases: Phase 0 (Weeks 1-2: Binary AST Scan, Data Profiling & Auto-Generated BRD), Phase 1 (Weeks 3-6: Core Schema Uplift & Working Pilot), Phase 2 (Weeks 7-12: Automated Conversion Sprints & Test Spec Execution), and Phase 3 (Weeks 13-16: Parallel Run, Zero-Downtime Cutover & 30-Day Hypercare)." } ], "calculator": { "calc_title": "Interactive B2B ERP Zero-Downtime Pricing Cache Sizer, Query Fan-Out & Timeline Estimator", "formula_type": "app_modernization", "auto_pct": 90, "savings_per_unit": 420, "base_savings": 65000, "slider_1": { "label": "Active B2B 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"Cluster E: B2B Supply Chain, ERP & Commerce Integration", "practitioner_titles": [ "Director of E-Commerce & Digital", "Oracle Fusion Integration Lead", "Supply Chain Systems Manager" ], "validator_titles": [ "VP of Enterprise Architecture", "Director of ERP Applications", "Principal Integration Architect" ], "economic_titles": [ "VP of Supply Chain", "Chief Operating Officer (COO)", "CIO / VP of IT" ], "practitioner_hook": "Eliminates manual maintenance across contract sku pricing combinations and auto-generates complete BRDs, test specs, and metadata lineage.", "validator_hook": "Proves deterministic AST binary-to-database metadata mapping into OCI Autonomous Transaction Processing (ATP) Pricing Cache + ORDS REST APIs + BI Publisher Sync with zero proprietary lock-in.", "economic_hook": "Delivers fixed-fee milestone predictability, transparent cost-control levers, and an editable Word (.docx) RFP template." } }, { "solution_id": "032", "brief_code": "VNA-SB-032", "slug": "multi-unit-pos-oracle-sync", "standalone_host": "multi-unit-pos-oracle-sync.pages.dev", "hosting_provider": "cloudflare_pages", "category_code": "INDUSTRY_CLOUD_PLATFORMS", "category_name": "Industry Operating Platforms (Public Sector, B2B, POS & Transit)", "subcategory": "Hospitality & Retail POS Synchronization", "theme_flavor": "sedona-copper", "theme_flavor_label": "Sedona Copper", "title": "Multi-Unit Restaurant & Retail POS (MICROS / SQL Anywhere) to Oracle 23ai Reconciliation Hub", "short_title": "Multi-Unit POS to Oracle 23ai Sync Hub", "brief_title": "Multi-Unit Restaurant & Retail POS (MICROS / SQL Anywhere) to Oracle 23ai Reconciliation Hub - Reference Architecture & Implementation Blueprint", "seo_title": "Multi-Unit POS (MICROS / SQL Anywhere) to Oracle 23ai Sync | Visc", "meta_description": "Eliminate POS polling failures and ORA-00001 collisions across multi-unit restaurants and retail stores with real-time SQL Anywhere/MICROS to Oracle sync.", "hero_eyebrow": "Industry 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against live database dictionary metadata (ALL_TAB_COLUMNS, ALL_DEPENDENCIES), profiles actual column data distributions, and automatically generates the Business Requirements Document (BRD), Technical Approach Doc, Test Specifications, and Verified Test Results." }, { "q": "What does a typical project timeline look like from kickoff to production cutover?", "a": "Projects follow four gated phases: Phase 0 (Weeks 1-2: Binary AST Scan, Data Profiling & Auto-Generated BRD), Phase 1 (Weeks 3-6: Core Schema Uplift & Working Pilot), Phase 2 (Weeks 7-12: Automated Conversion Sprints & Test Spec Execution), and Phase 3 (Weeks 13-16: Parallel Run, Zero-Downtime Cutover & 30-Day Hypercare)." } ], "calculator": { "calc_title": "Interactive Multi-Unit POS to Oracle 23ai Sync Hub Sizer, Query Fan-Out & Timeline Estimator", "formula_type": "app_modernization", "auto_pct": 90, "savings_per_unit": 420, "base_savings": 65000, "slider_1": { "label": "Active Restaurant / Retail Store Locations", "min": 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generate documentation?", "a": "Our automated analyzer parses legacy binaries and source files, extracts every trigger, query, and UI control, cross-references them against live database dictionary metadata (ALL_TAB_COLUMNS, ALL_DEPENDENCIES), profiles actual column data distributions, and automatically generates the Business Requirements Document (BRD), Technical Approach Doc, Test Specifications, and Verified Test Results." }, { "q": "What does a typical project timeline look like from kickoff to production cutover?", "a": "Projects follow four gated phases: Phase 0 (Weeks 1-2: Binary AST Scan, Data Profiling & Auto-Generated BRD), Phase 1 (Weeks 3-6: Core Schema Uplift & Working Pilot), Phase 2 (Weeks 7-12: Automated Conversion Sprints & Test Spec Execution), and Phase 3 (Weeks 13-16: Parallel Run, Zero-Downtime Cutover & 30-Day Hypercare)." } ], "calculator": { "calc_title": "Interactive SLED Cooperative Procurement Hub (DIR / Co-Op) Sizer, Query Fan-Out & Timeline Estimator", "formula_type": "app_modernization", "auto_pct": 90, "savings_per_unit": 420, "base_savings": 65000, "slider_1": { "label": "Target Modernization Modules / Workstreams", "min": 1, "max": 20, "step": 1, "default": 4, "unit": "workstreams" }, "slider_2": { "label": "Legacy Screens, Reports & Interfaces in Scope", "min": 10, "max": 640, "step": 16, "default": 160, "unit": "scoped objects" }, "slider_3": { "label": "Procurement & Legal Cycle Compression", "min": 50, "max": 95, "step": 5, "default": 80, "unit": "% faster award" }, "complexity_options": [ { "label": "Standard Complexity (Mostly Tier 1/2 CRUD & Standard Integrations)", "mult": 1.0 }, { "label": "Enterprise / Regulated (Complex Triggers, SSO/VPD & Zero-Downtime Cutover)", "mult": 1.25 }, { "label": "Multi-System Consolidation (High Query Fan-Out + Multi-Source Data Profiling)", "mult": 1.45 } ], "out_1_label": "Rationalized Core Views & Automation", "out_2_label": "Target Architecture & Auto-Docs", "out_3_label": "Estimated 4-Phase Timeline", "out_4_label": "Projected Annual Run-Rate Savings" }, "buyer_personas": { "cluster_code": "CLUSTER_E_ERP_EAM_EPM", "cluster_name": "Cluster E: Public Sector (State, County, Municipal, ISD & Higher Ed)", "practitioner_titles": [ "IT Procurement Officer", "Public Sector IT Project Manager", "Applications Manager" ], "validator_titles": [ "County / City / ISD CIO", "Deputy CIO", "Director of Enterprise Systems" ], "economic_titles": [ "County Judge / Commissioners", "Chief Financial Officer / Purchasing Agent", "Superintendent / Agency Director" ], "practitioner_hook": "Eliminates manual maintenance across legacy screens, reports & interfaces in scope and auto-generates complete BRDs, test specs, and metadata lineage.", "validator_hook": "Proves deterministic AST binary-to-database metadata mapping into Pre-Competed Cooperative Contract Vehicles (TX DIR DBITS / Choice Partners / Interlocal SOW) with zero proprietary lock-in.", "economic_hook": "Delivers fixed-fee milestone predictability, transparent cost-control levers, and an editable Word (.docx) RFP template." } } ] }