# MODIFIABLE REQUEST FOR PROPOSALS (RFP) TEMPLATE
## Project Title: SCADA & High-Frequency IoT Time-Series Ingestion on OCI Streaming & Oracle Database 23ai
- **RFP Document Reference**: `VNA-RFP-023` (Companion to Solution Brief `VNA-SB-023`)
- **Issuing Organization**: `[INSERT ORGANIZATION / COMPANY NAME]`
- **Issue Date**: `[2026-10-27]`
- **Proposal Due Date**: `[INSERT DATE, e.g., +30 Calendar Days]`
- **Reference Architecture Portal**: https://scada-iot-time-series-oracle-23ai.web.app/
- **Template Attribution**: This site is designed by Viscosity.AI

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## SECTION 1: ISSUING ORGANIZATION PROFILE & PROCUREMENT SCHEDULE (MODIFIABLE)

> **Instructions for RFP Author**: Replace all bracketed placeholders (`[...]`) below with your organization's specific dates, contacts, and environment metrics before issuing to prospective bidders.

| Procurement Milestone | Target Date / Entry (Modifiable) |
|---|---|
| Issuing Organization Name | `[Insert Legal Entity Name]` |
| Primary Procurement / Technical Contact | `[Insert Name, Title, Email]` |
| RFP Issue Date | `[2026-10-27]` |
| Vendor Written Questions Due | `[Insert Date - Week 2]` |
| Organization Responses to Vendor Q&A | `[Insert Date - Week 3]` |
| Final Vendor Proposals & Pricing Due | `[Insert Date - Week 4]` |
| Technical Architecture Demos / Oral Presentations | `[Insert Date - Week 5]` |
| Target Contract Award & Phase 0 Kickoff | `[Insert Date - Week 6]` |

### 1.1 Executive Summary & Business Objectives
`[INSERT COMPANY NAME]` ("Organization") is soliciting competitive proposals from qualified enterprise architecture and engineering firms to modernize and transition our current **Legacy Polling SCADA, Historian Silos & High-Frequency IoT Sensor Streams** environment to **OCI Streaming (Kafka), Autonomous Database 23ai, Partitioned Time-Series & APEX GIS**.

Our primary business and technical objectives are:
- Legacy relational schemas without interval-reference partitioning or fast-ingest buffering grind to a halt when tens of thousands of remote gateway devices post JSON/MQTT payloads simultaneously.
- Off-the-shelf industrial historians charge punitive per-tag licensing fees and isolate sensor telemetry from your core ERP asset registry, maintenance work orders, and customer records.
- Field technicians and operations managers need sub-second mobile dashboards showing live GPS locations, temperature/pressure/biometric trend lines, and automated threshold alerts.

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## SECTION 2: CURRENT ENVIRONMENT BASELINE INVENTORY (MODIFIABLE)

Bidders must size their technical delivery plan and fixed-fee milestone pricing against the baseline inventory table below:

| Inventory Dimension | Current Baseline Count / Footprint (Modifiable) | Target Modernization SLA / Objective |
|---|---|---|
| Legacy Source Stack (`Stack X`) | Legacy Polling SCADA, Historian Silos & High-Frequency IoT Sensor Streams | Full retirement / modernization |
| Target Architecture (`Stack Y`) | OCI Streaming (Kafka), Autonomous Database 23ai, Partitioned Time-Series & APEX GIS | Production-grade HA/DR & security |
| Active SCADA / IoT Sensor Tags | `[Insert Count, e.g., 100000 tags]` | 100% functional parity & optimization |
| Events Ingested per Minute (Thousands) | `[Insert Count, e.g., 1200 K events/min]` | Automated AST & schema uplift |
| Target Cutover Downtime Window | `[e.g., < 15 Minutes / Near-Zero Downtime]` | Rehearsed parallel run + rollback plan |
| Security, Compliance & Identity | `[e.g., SSO/MFA via Entra ID / Okta, Row-Level VPD, Audit Logs]` | Zero critical/high CVEs at Go-Live |

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## SECTION 3: MANDATORY TECHNICAL SCOPE OF WORK & DELIVERABLES (MODIFIABLE)

The selected partner shall execute the project across four gated phases (**Phase 0: AST Discovery & Architecture Blueprint**, **Phase 1: Core Foundation & Data/Code Conversion**, **Phase 2: Integration, Runtime Filtering & UAT**, and **Phase 3: Parallel Run, Cutover & Hypercare**).

### 3.1 Core Architectural Requirements
1. **[MODIFIABLE REQUIREMENT 1]**: Edge-to-Cloud Streaming Ingestion: Remote gateways and cellular/LoRaWAN collectors push telemetry into OCI Streaming (Kafka-compatible) or ORDS high-concurrency connection pools backed by Oracle Database `MEMOPTIMIZE FOR WRITE` (Fast Ingest) buffers.
2. **[MODIFIABLE REQUIREMENT 2]**: Automated Time-Series Partitioning & Lifecycle Tiering: Telemetry tables in Oracle 23ai use automatic Interval Partitioning with Hybrid Columnar Compression (HCC) for warm historical partitions and Parquet offload to OCI Object Storage for multi-year cold archives.
3. **[MODIFIABLE REQUIREMENT 3]**: In-Database Anomaly Detection & Rules Engine: Streaming window functions (`MATCH_RECOGNIZE` SQL pattern matching) and Oracle 23ai ML models detect pressure drops, equipment vibration anomalies, or livestock health spikes in real time, triggering Twilio SMS/push alerts and maintenance work orders.
4. **[MODIFIABLE REQUIREMENT 4]**: Oracle APEX 24.2 Spatial & Mobile Command Center: Operators view live GPS asset clusters (Oracle Spatial + MapLibre / HERE Maps), drill into sensor time-series charts, and dispatch field crews from any tablet or phone.

### 3.2 Component-Level Conversion & Deliverable Matrix
Bidders must confirm compliance with each component conversion requirement below:

| Req ID | Legacy Artifact / Baseline Workload | Required Target Architecture | Engineering Method & Acceptance Criteria | Priority (Modifiable) |
|---|---|---|---|---|
| REQ-01 | Unpartitioned Relational Sensor Log Tables | Oracle 23ai Interval-Partitioned Tables + Fast Ingest | Lock-Free `MEMOPTIMIZE FOR WRITE` Ingestion | `[Mandatory / Optional]` |
| REQ-02 | Siloed Per-Tag Proprietary Historians | Converged OCI Streaming + Autonomous Database + Parquet | Unlimited Tag Scalability + SQL `MATCH_RECOGNIZE` | `[Mandatory / Optional]` |
| REQ-03 | Delayed Batch Threshold Polling Scripts | Real-Time Event Stream Pattern Matching & Twilio Alerts | Sub-Second Anomaly Detection Pipeline | `[Mandatory / Optional]` |
| REQ-04 | Desktop-Only SCADA / Fleet Map Viewers | Oracle APEX 24.2 Progressive Web App (PWA) & Spatial Map | Responsive Mobile & Offline-Capable Field UI | `[Mandatory / Optional]` |

### 3.3 Mandatory Platform & Tooling Standards
- Oracle Database 23ai (`MEMOPTIMIZE FOR WRITE`, `MATCH_RECOGNIZE`, Interval Partitioning, Oracle Spatial)
- OCI Streaming (Apache Kafka compatible) & Oracle Functions `F(n)`
- Oracle APEX 24.2 Native Map Regions, Jet Charts & Progressive Web App (PWA)
- Viscosity AMP & GeoTools API (`geotools.viscosity.ai`) for spatial geocoding and routing

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## SECTION 4: VENDOR TECHNICAL Q&A QUESTIONNAIRE & SCORING RUBRIC

Bidders must provide direct, concise written responses to each question below. The Issuing Organization's evaluation committee will grade responses using the embedded benchmark criteria.

### Vendor Question 1: Can Oracle Database handle high-frequency IoT time-series writes without buying a separate time-series database?
- **Bidder Response Requirement**: Provide a concrete architectural explanation, reference toolset, and verifiable production proof. Generic marketing statements will be scored zero.
- **Evaluation Benchmark (What High-Scoring Responses Must Demonstrate)**: Yes. Using Oracle's High-Frequency `MEMOPTIMIZE FOR WRITE` (Fast Ingest) large pool buffer combined with automatic interval partitioning, Oracle absorbs millions of asynchronous sensor inserts per second before flushing to disk in optimized batches.
- **Evaluator Score (0 to 10 Points)**: `[   / 10 ]`

### Vendor Question 2: How do you keep storage costs low when retaining 5+ years of raw sensor readings?
- **Bidder Response Requirement**: Provide a concrete architectural explanation, reference toolset, and verifiable production proof. Generic marketing statements will be scored zero.
- **Evaluation Benchmark (What High-Scoring Responses Must Demonstrate)**: We configure Automated Storage Tiering: the most recent 90 days sit in hot NVMe partitions, months 4 to 12 compress 10x via Hybrid Columnar Compression, and older partitions automatically export to ZSTD Parquet on OCI Object Storage while remaining queryable via External Partitioned Tables.
- **Evaluator Score (0 to 10 Points)**: `[   / 10 ]`

### Vendor Question 3: What is included in the downloadable PDF Solution Brief?
- **Bidder Response Requirement**: Provide a concrete architectural explanation, reference toolset, and verifiable production proof. Generic marketing statements will be scored zero.
- **Evaluation Benchmark (What High-Scoring Responses Must Demonstrate)**: The PDF Solution Brief includes the OCI Streaming + Oracle 23ai Fast-Ingest Architecture diagram, sample `MATCH_RECOGNIZE` anomaly detection SQL queries, and our automated time-series partition lifecycle blueprint.
- **Evaluator Score (0 to 10 Points)**: `[   / 10 ]`

### Vendor Question 4: How do you prevent report and query fan-out bloat, and how do you guarantee zero vendor lock-in?
- **Bidder Response Requirement**: Detail your methodology for clustering redundant legacy queries/reports into canonical core SQL views with runtime or AI-inference filtering, and specify customer code/data ownership upon project completion.
- **Evaluation Benchmark (What High-Scoring Responses Must Demonstrate)**: Bidder must demonstrate deterministic AST SQL clustering (collapsing 75%-90% of cloned reports into core database views with runtime predicates), 100% customer ownership of all DDL, PL/SQL, application source code, and Terraform scripts, and zero proprietary runtime lock-in.
- **Evaluator Score (0 to 10 Points)**: `[   / 10 ]`

### Vendor Question 5: Describe your automated regression testing, parallel run, and zero-downtime cutover methodology.
- **Bidder Response Requirement**: Specify how data parity, business-rule equivalence, and rollback safety are verified prior to production cutover.
- **Evaluation Benchmark (What High-Scoring Responses Must Demonstrate)**: Bidder must provide automated row-count and cryptographic hash reconciliation, automated unit/UI test suites (e.g., utPLSQL, Playwright), and a rehearsed cutover runbook with sub-minute rollback capability.
- **Evaluator Score (0 to 10 Points)**: `[   / 10 ]`

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## SECTION 5: COMMERCIAL PRICING & LICENSING MATRIX (MODIFIABLE)

Bidders must complete the fixed-price milestone table below and disclose all recurring software or cloud consumption assumptions.

| Milestone / Cost Category | Deliverable & Acceptance Gate | Fixed Fee / Annual Cost (USD) | Estimated Duration (Weeks) |
|---|---|---|---|
| **Phase 0: Discovery & AST Code/Schema X-Ray** | Verified inventory, dead-code manifest, core SQL fan-out map, and final blueprint | `$[Insert]` | `[2 - 3 Weeks]` |
| **Phase 1: Target Environment & Automated Uplift** | Provisioned target stack, schema migration, and core business logic conversion | `$[Insert]` | `[4 - 8 Weeks]` |
| **Phase 2: UI, Integrations, Reporting & UAT** | Completed application/portal screens, runtime reports, AOP templates, and UAT sign-off | `$[Insert]` | `[3 - 6 Weeks]` |
| **Phase 3: Production Cutover & Hypercare** | Rehearsed cutover, reconciliation sign-off, documentation, and 30-day hypercare | `$[Insert]` | `[2 - 3 Weeks]` |
| **Optional: Annual Managed Services / Support** | 24x7 monitoring, patching, DBA performance tuning, and quarterly enhancements | `$[Insert / yr]` | `[12 Months]` |

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## SECTION 6: PROPOSAL EVALUATION SCORECARD (MODIFIABLE)

| Evaluation Criterion | Weight (%) | Description |
|---|---|---|
| **1. Technical Architecture & Automation Tooling** | `35%` | Depth of AST automation, query fan-out rationalization, database/cloud architecture, and zero lock-in. |
| **2. Verifiable Production Experience & References** | `25%` | Proven track record delivering identical `SCADA & IoT High-Frequency Time-Series on Oracle 23ai` engagements with measurable outcomes. |
| **3. Cutover Safety, Testing & Compliance** | `20%` | Rigor of data reconciliation, automated regression testing, security/compliance controls, and rollback safety. |
| **4. Commercial Value & Total Cost of Ownership (TCO)** | `20%` | Transparent fixed-fee milestone pricing and 3-to-5 year software/cloud licensing savings. |
| **TOTAL** | **`100%`** | |

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*Template Reference: `VNA-RFP-023` | Companion Portal: https://scada-iot-time-series-oracle-23ai.web.app/ | This site is designed by Viscosity.AI*