What is Real-Estate Investor Analytics?

Real-Estate Investor Analytics is an investment intelligence layer for residential and commercial real estate.
It consolidates acquisition data, property performance, financing terms, and market indicators to show how each asset and portfolio is really performing—today and in the future.

The platform serves individual investors, family offices, property funds, and developers who want institutional-grade analytics without building their own data team. It can work as a standalone analytics suite or integrate deeply with Amlakify and Property Management tools.

Core modules

• Portfolio Overview: High-level view of assets, regions, strategies, and target vs. actual performance.

• Deal Analyzer: Underwriting workspace for new acquisitions with configurable assumptions and stress tests.

• Cash Flow Engine: Month-by-month income and expense projections per unit, building, and portfolio.

• Financing & Debt Tracker: Loan schedules, interest scenarios, refinance options, and DSCR monitoring.

• Asset Performance Profiles: Cap rate, yield, IRR, equity multiple, vacancy, and rent-collection views per property.

• Market & Neighborhood Layer: Comparable rents/prices, absorption, and supply-demand signals where data is available.

• Alerts & Watchlists: Threshold-based alerts for occupancy, delinquency, DSCR, or underperforming assets.

AI capabilities

• Price & Rent Forecasting: Model-based suggestions for rent adjustments, renewals, and asking prices based on history and comparables.

• Buy / Hold / Sell Signals: Scoring model that flags which assets to accumulate, hold, or dispose of under different market scenarios.

• Automated Underwriting Drafts: Pre-filled pro formas using deal basics and historical assumptions, ready for analyst review.

• Scenario Copilot: Natural-language “what if” questions (e.g., “What if interest rates rise 2% next year?”) converted into multi-year portfolio simulations.

• Insights Summaries: Auto-generated investment memos, property snapshots, and quarterly summaries for investors and partners.

Analytics & reporting

• KPI Dashboards: NOI, cash-on-cash, IRR, leverage, occupancy, and delinquency at portfolio, sub-portfolio, and asset levels.

• Benchmarking: Compare assets by city, submarket, strategy, vintage, or property type; rank top and bottom performers.

• Drill-Down Analysis: Move from portfolio views down to single unit or lease data where integrated.

• Variance Analysis: Budget vs. actuals for rent, OPEX, CAPEX, and financing costs.

• Custom Reports: Build and save templates for investor decks, bank packages, and internal committees with scheduled delivery.

Integrations & data sources

• Amlakify & Listing Workflows: Pull assumptions and pipeline deals directly from Real Estate Platform (Amlakify).

• Property Management Systems: Sync actual rent rolls, expenses, and work-order data to compare plan vs. reality.

• Accounting & ERP: Map GL codes and import financials to keep analytics aligned with booked numbers.

• Data Feeds: Ingest CSV/Excel files, API feeds, and external data providers for market and macro variables.

• Identity & Access: SSO for teams, with per-fund and per-portfolio access controls.

Security, privacy & compliance

• Enterprise-Grade Security: Encrypted data in transit and at rest, hardened access, and detailed activity logs.

• Granular Permissions: Control who can see asset-level details, investor information, or only aggregated metrics.

• Data Governance: Configurable regions for data residency and retention policies aligned with investor requirements.

• Reliability: High-availability setup with backups and recovery to protect critical investment records.

Accessibility & localization

• Bilingual & RTL-Ready: Supports Persian (RTL) and English, with the option to add more languages for new markets.

• Localized Metrics: Local currencies, tax assumptions, and financing conventions for each target region.

• Multi-Portfolio Views: Group portfolios by country, strategy, or legal entity with localized settings.

Architecture & scalability

• Cloud-Native Core: Microservices-based architecture optimized for analytics workloads.

• Scalable Compute: Handles everything from a few units to large institutional portfolios with thousands of assets.

• High-Performance Queries: Columnar storage and indexing for fast filtering and time-series analysis.

• Extensible Model Layer: Room to plug in custom models, factors, and scoring logic for advanced users.

Implementation & support

• Structured Onboarding: Guided mapping of properties, portfolios, and chart-of-accounts into the platform.

• Data Migration: Import tools and expert support to bring in historical rent rolls, financials, and deal models.

• Training: Workshops and documentation for analysts, asset managers, and executives.

• Ongoing Support: Ticketing, knowledge base, and optional dedicated advisor for larger funds.

Pricing & licensing (flexible)

• Tiered Plans: Pricing aligned with portfolio size, number of users, and advanced feature needs.

• Fund & Enterprise Licenses: Custom agreements for managers running multiple funds or large, multi-country portfolios.

• Add-Ons: Optional modules for custom models, extra data feeds, or white-label investor reporting.

Who uses Real-Estate Investor Analytics?

• Individual and small-group investors ready to professionalize their decision-making.

• Property funds, REITs, and family offices seeking a central analytics engine.

• Developers evaluating hold-vs-sell strategies for completed projects.

• Lenders and partners reviewing portfolios and underwriting risk.

• Advisory and brokerage teams providing analytics-backed advice to clients.

Why Real-Estate Investor Analytics?

• Purpose-built for real estate investing, not a generic BI tool.

• Combines underwriting, operations, and market data into a single view.

• AI-enhanced insights that stay explainable and under analyst control.

• Localized for FA/EN, RTL, and regional finance realities.

• Deep synergy with Amlakify, Property Management, and other ZPlatform services.

• Designed to shorten analysis cycles, surface hidden risk, and unlock better risk-adjusted returns.