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Counting down to #MIPIM2026 — I’m thrilled to be heading back to Cannes. This event is a fantastic opportunity to connect with partners and peers. I can’t wait to share what we’ve been building at iREMS. Transforming Real Estate Management At iREMS, we focus on creating a #unifieddatamodel. This model ensures your portfolio data is consistent, usable, and ready to act on. Imagine having all your data streamlined. It simplifies decision-making and enhances operational efficiency. The Importance of Data in Real Estate Data plays a crucial role in real estate. It drives decisions and shapes strategies. With the right data, you can identify trends, assess risks, and seize opportunities. But how do you ensure that your data is reliable? That’s where a unified data model comes in. It integrates various data sources into one coherent framework. This integration allows for better analysis and insights. Enhancing Operational Efficiency Operational efficiency is key to success in real estate. By leveraging technology, we can automate processes and reduce manual tasks. This not only saves time but also minimizes errors. Imagine having more time to focus on strategic initiatives rather than getting bogged down in administrative work. With iREMS, this is possible. Making Profitable Decisions The ultimate goal is to empower you to make more profitable decisions. With a unified data model, you gain full financial insight. This clarity enables you to evaluate performance accurately and adjust strategies accordingly. Are you ready to take your portfolio to the next level? Future Trends in Real Estate Management As we look ahead, several trends are shaping the future of real estate management. Technology continues to evolve, bringing new tools and solutions. Artificial intelligence, for example, is transforming how we analyze data. It allows for predictive analytics, helping you anticipate market changes. Sustainability is another critical trend. Investors are increasingly focused on eco-friendly properties. Incorporating sustainability into your portfolio can enhance its value and appeal. Are you prepared to embrace these changes? Join Us at MIPIM 2026 I invite you to join us at MIPIM 2026. Let’s explore how we can leverage technology to enhance your real estate management. Together, we can drive innovation and growth. Don’t miss out on this opportunity to connect and learn. In conclusion, the countdown to MIPIM 2026 is on. I’m excited about the possibilities that lie ahead. Let’s make the most of this event and take our real estate strategies to new heights. #realestate #assetmanagement #datadivendecisions #AIreadydata

In real estate investment, accounting tells you what has already happened. That is not a criticism of accounting. It is its purpose. The ledger books transactions once they occur, and it does so with precision. But a lease is not a transaction. It is a schedule of future transactions — indexation dates, break options, renewal windows, expiries — each of them defined, dated and knowable on the day the lease is signed. None of them has happened yet, so none of them is in the ledger. The same holds for the capital above the asset: covenant thresholds, drawdown schedules, refinancing dates. This is why a portfolio view derived from the accounts is structurally retrospective. It reports the period that closed. The decisions that determine performance — reletting, capex timing, refinancing, disposal — have to be taken well before the numbers move. Most real estate software inherits that timeframe. Whether real estate logic is added as a layer above a general financial core, or spread across specialised systems integrated to agree with one another, the foundation underneath still records only what has been posted. iREMS is engineered differently: the real estate model is the system of record. Our proprietary Real Estate Unified Data Model™ (REUDM™) defines the asset, the unit, the lease, the entity, the fund and the capital structure once — together with the forward schedule each of them carries. One foundation answers both questions: what has been booked, and what is contracted to happen. Operational workflows write into the model rather than into interfaces. Reporting reads a position instead of assembling one. The Enterprise Intelligence Layer reads forward, not only back. And nothing has to be replaced to begin. One architecture, multiple adoption paths: the data infrastructure can be established over the systems already in place, with the operating platform adopted later — or not at all. Value in real estate is contracted long before it is booked. The foundation should know both. One trusted financial foundation. One architecture. Unlimited intelligence. #REUDM #InstitutionalRealEstate #DataArchitecture #RealEstateData #AssetManagement #FinancialInfrastructure #iREMS

The PropTech Connect webinar brought together a group of real estate technology practitioners for an honest conversation about where AI actually stands today. iREMS Co-Founder Andreas Kozma was among the panellists, and the exchange confirmed something we have been seeing across the market for some time: adoption is accelerating, but institutional trust for high-stakes decisions is still thin — and the gap between organisations that make AI work and those that don't is wider than most are willing to admit. The reason for that gap is almost always the same. It comes down to data architecture. The Proof Points Are Real — But So Is the Variance Real estate companies are using AI to cut lease abstraction from days to hours. Portfolio managers are running analysis in real time that used to take a week. These are operational realities at serious organisations, not experiments. But the discussion made clear: implementation quality varies enormously, and success stories often obscure how much invisible cost sits underneath them. One observation that resonated across the discussion: AI ROI is genuinely hard to measure, not because the speed gains aren't real, but because quality validation is still an unsolved problem for most organisations. Doing something in two hours instead of three days is a compelling headline. Whether the output is better is a different question entirely. The companies being honest about this distinction are the ones building durable advantages. A Common Pattern: AI as a Bridge Between Systems A pattern came through clearly in the webinar discussion, and it mirrors what we see across the market: many organisations find themselves turning to AI to manage data fragmentation rather than resolve it. This is understandable — legacy system migration is expensive, disruptive, and rarely straightforward. The pressure to show AI results quickly is real. The typical starting point looks like this: five, eight, twelve systems — ERP, property management software, valuation tools, spreadsheets, legacy databases — each with its own structure and logic, not designed to talk to each other. AI agents get deployed to act as translators and bridges between these silos. It looks like integration. It feels like progress. And as a transitional measure while a longer-term data strategy takes shape, it can serve a purpose. The challenge is when it becomes the strategy rather than the bridge to one. AI working across inconsistently structured data is not operating on a reliable foundation — every translation introduces potential error, every upstream system change creates downstream fragility, and the ROI of AI investments gets diluted because a significant portion of the capability budget goes to infrastructure work rather than analytical output. AI working on fragmented data is like a brilliant analyst whose entire day is spent reformatting spreadsheets before they can start the actual work. The capability is there. The setup is limiting it. This is not a criticism of the organisations facing it — most inherited these setups long before AI was on the agenda. It is a structural challenge the whole industry is navigating, and the conversation reflected that honestly. What the discussion did confirm is that the deployments producing the clearest results share a common characteristic underneath them: a consistent, governed data foundation. The Multiplier Effect of Unified Data The alternative is structurally different, not just technically better. When you build — or migrate to — a unified data model purpose-built for real estate, AI stops being a bridge and starts being an engine. This is the principle behind iREMS and our Real Estate Unified Data Model™ (REUDM™). REUDM™ provides a single, governed, real estate-native data environment where financial, asset, portfolio, and market benchmark data share a common structure and a common language. There are no translations. There are no bridges. The data is already in a form that AI can reason about directly. The effect on AI performance is not incremental — it is multiplicative. The use cases that produce the strongest results share a consistent characteristic: the AI was given a clear, precise objective and fed structured, validated data. It was constrained by a known data model, not left to infer meaning from heterogeneous inputs. Output quality, iteration speed, and result reliability all improve dramatically when the data foundation is right. When the data structure is right, the cost-benefit ratio changes. Every AI investment delivers more. Every improvement compounds. When the Foundation Is Right, the ROI Math Changes The cost-benefit calculation for AI integration looks very different depending on your starting point. If you are building AI on top of fragmented systems, a significant portion of your AI budget goes to data wrangling, error correction, and bridge maintenance — work that produces no analytical output and must be repeated every time something changes upstream. When you start from a unified data structure, almost all of your AI spend goes to what AI is actually good at: identifying patterns, generating insights, automating analysis, surfacing anomalies. The ROI curve is steeper and more durable. It compounds because every improvement to the model benefits all use cases built on top of it — not just the one it was built for. The practitioners seeing the clearest returns are not necessarily running the most sophisticated AI. They are running AI on the best data. Change management, internal champions, and clear objectives all matter — the discussion was emphatic about this — but none of them substitute for structural data quality. They amplify it. Treat AI Like a New Employee — But Give It a Real Workplace One framing that came up in the discussion: treat AI like a new hire. A talented new employee dropped into a disorganised office — where records are inconsistent and every team uses different conventions — will underperform regardless of their capability. Give that same person a well-structured, well-documented environment and their output scales. REUDM™ is that environment for AI in real estate. The model doesn't change. The workplace does. And the workplace is what determines whether AI delivers on its promise or spends its time reformatting spreadsheets. AI Adoption Is a Transformation Project — Treat It Like One One aspect that tends to get less attention in the AI conversation is the methodology — not just the technology stack, but how the transformation is actually run. Vendor selections, model comparisons, and API integrations dominate the discussion. But the organisations consistently getting the strongest results seem to have one thing in common beyond tooling: they treated the change as an organisational project, not a software rollout. At iREMS, every implementation has always started the same way — not with software configuration, but with a structured process of conceptual discussion, business process analysis, and change management. Before a single data field is mapped or a workflow is built into the platform, we work with the client to understand how information actually moves across their portfolio: how decisions are made, where the friction sits, what the real source of truth should be, and how people at every level relate to the data they use every day. That process is what builds the roots of a unified financial data structure that will actually hold. The methodology that builds a unified data foundation is the same methodology that makes AI adoption stick. The work is not different. The urgency is. AI adoption requires exactly this. It is not a tool you bolt on to an existing process. It is a transformation of how an organisation generates, validates, and acts on information. That transformation only holds when the underlying workflows are correct, the people understand why a unified data model matters, and the processes have been redesigned around a single source of truth rather than inherited from legacy habits. This is the parallel that does not get enough attention: the process iREMS follows in every implementation — conceptual alignment, process analysis, data governance, workflow redesign — turns out to be the prerequisite for AI readiness. Not by design originally, but because both transformations require exactly the same foundations. The organisations that have gone through this process — that have standardised their data, aligned their processes to industry best-practice workflows, and built the organisational discipline to trust a governed data environment — are precisely the ones best positioned to capture AI's compounding returns. They have already done the hard work, even if they did not frame it that way at the time. For organisations earlier in that journey, the path to AI readiness is also the opportunity to build the foundation properly — and doing both together is more efficient than sequencing them. What we have found is that having a partner who understands both the data model and the organisational change practice makes a meaningful difference. The methodology we have developed and refined across international portfolio implementations maps closely onto what AI adoption requires. That is not a coincidence — it is the same underlying transformation, applied to a new context. The Compounding Advantage The most important takeaway from the PropTech Connect webinar conversation— and from everything we see in the market — is this: the gap between organisations that invest in unified data infrastructure now and those that patch their way forward with AI bridges is not linear. It compounds. Consider the wider context. Recent AI cost benchmarks show that the cost of a unit of AI intelligence has fallen 150x in three years while capability has nearly tripled. The conclusion across SaaS and technology analysts is consistent: this creates the most asymmetric opportunity since the shift to cloud, and the winners will be the companies with distribution, brand, and fundamentals — not wrappers riding the hype. For real estate, the implication is direct. As AI gets cheaper and more powerful, access to the technology stops being the differentiator — it is already commoditising. The organisations that capture this opportunity will not necessarily be the ones that move fastest to adopt AI. They will be the ones whose data foundation means every new AI capability they adopt immediately has something reliable to work with. A clean, unified, governed data environment is the fundamental that determines whether falling AI costs translate into compounding returns or into cheaper versions of the same fragmentation challenge. When AI intelligence costs fall 150x, the moat is not the AI. It is the data foundation that makes the AI useful. Every month of clean, structured data is a month of better AI signal. Every validated workflow built on a unified model is a baseline that improves with each iteration. Every year spent maintaining bridge architectures is a year of technical debt compounding on a fragmented foundation — regardless of how capable or affordable the AI on top of it becomes. The teenager phase of proptech AI is over. The companies that win the next decade will not necessarily be the ones with the most AI. They will be the ones whose data architecture lets AI do what it was built to do. Conversations like the one at the recent PropTech Connect webinar — and the broader market dynamics — make clear the urgency is real. ire.ms

🚀 We’re excited to share that   iREMS   has been nominated for the   #GlobalPropTech &ConTechAwards – Middle East Edition. This nomination reflects something we strongly believe in: real estate doesn’t need more tools — it needs better data foundations. At iREMS, we focus on helping investors and managers move from fragmented information and spreadsheets to clarity, control, and confidence across complex, international portfolios — through a unified data model built specifically for real estate. If you believe that: ✳️ capital deserves better transparency ✳️ data strategy should come before systems ✳️ and PropTech should truly support decision-makers we’d appreciate your vote. 🔆   🗳️ Public voting is open until January 14 👉 [Vote for iREMS here:   https://lnkd.in/d7QsKi-c   ] Thank you for supporting a smarter, more resilient future for real estate. PropTech Connect   #UnifiedDataModel

Article by Property Forum At CEE Property Forum 2025, one message cut through the discussion on technology and investment: data quality is no longer a technical concern, but a decisive factor in risk, returns and access to capital. Moderated by James Garner, Global Head of AI & Data at Gleeds, the panel brought together experts from real estate, finance, technology and law to examine how fragmented systems, regulatory pressure and rising investor expectations are forcing the industry to rethink how decisions are made—and what happens when data can no longer be trusted. Garner set the tone for the session by highlighting both the significance and complexity of data within the real estate industry. “We have reached a pivotal juncture where data is more than just an operational necessity – it has become a strategic differentiator, central to risk management, returns, and regulatory compliance,” he noted. Sylwia Toczyska of Vistra Fund Solutions emphasised findings from her firm’s recent report, “Data at Crossroads,” which underpinned the panel’s theme. “A worrying 64% of managers in our survey admitted that poor data quality has already undermined their ability to raise capital. The burden of an inconsistent chart of accounts, undocumented data exchanges, and integration across ageing, siloed systems does not just slow down business; it elevates operational risk to a strategic liability, especially when regulatory fragmentation multiplies the complexity. Our data infrastructure, or lack thereof, is now an economic liability rather than a mere inconvenience.” Andreas Kozma, leading iREMS International AG, built upon the theme of unified data and the human dimension of digital transformation. “Achieving a single source of truth for every data point is far more than a technical exercise; it requires consensus across cultures, jurisdictions, and business units—a constant negotiation of definitions, priorities, and workflows,” he explained. “Even as businesses turn to platforms and systems for automation, the real measure of progress lies in our ability to prompt machines intelligently and to curate clean, standardised, actionable data. The era of AI as a reliable business assistant is upon us, but we must never lose sight of our responsibility as humans in the loop.” Alexander Rafajlovič of CA Immo captured the cultural and practical tension involved in data adoption. “In Europe, we sometimes fall into the trap of planning for perfection, deliberating over processes for years before execution. By contrast, a more agile, iterative approach – starting small, embracing imperfect data, and building organisational vocabulary around shared metrics – allows us to extract value from data today, not in some future state of ideal standardisation,” he advised. “Too often, we conflate tools like Excel with true sources of truth, but the real breakthrough comes when teams see the benefits of integrated systems that serve their daily work, making data capture a byproduct of value, not a burdensome compliance exercise.” Jakub Adam, representing Taylor Wessing Czech Republic, provided a critical legal perspective on the converging realities of data protection, regulation, and risk. “The challenge for property leaders is twofold: complying with ever-tightening standards like GDPR, where violations can mean multi-million-euro fines, and navigating the uncertain terrain of the new EU AI regulation, which categorises risk profiles and mandates transparency and auditability in automated processing,” Adam said. “You must rigorously assess what data you collect, minimise excess, and constantly review your compliance regime, because what was acceptable yesterday may expose you to liability tomorrow.” From the vantage point of corporate finance and banking, Jiří Vančura of Trinity Bank reflected on the value of human judgment in a world awash with data and automation. “AI significantly accelerates credit and risk analysis, delivering efficiency gains that promise to streamline both junior and senior roles,” he observed. “Yet experience, interpretation, and personal networks remain irreplaceable. Data may comprise sixty percent of the decision equation, but human insight and intuition fill the crucial gap, especially when facing ambiguous or incomplete numbers. The ability to repeatedly ask ‘why,’ to probe the data’s story, is as vital today as it ever was.” The session concluded with practical advice for industry newcomers and veterans alike, with panellists agreeing that the journey toward standardised, high-integrity data requires both technological investment and a renewed focus on organisational habits. Tags: CEE Property Forum CEE Property Forum 2025 conference data investment report

By Property Forum The executive data roundtable at the CEE Property Forum in Vienna marked a new format for senior real estate decision-makers in Central and Eastern Europe. Held under Chatham House rules, the session enabled an open and strategic exchange on the role of data in driving portfolio performance, risk management, and resilience. Hosted by Andreas Kozma, with moderation by James Dearsley, the discussion deliberately avoided presentations and product positioning. Instead, it focused on real operational experience across international portfolios. A clear message emerged: data management has moved decisively into the C-suite. Participants agreed that growth, regulatory requirements, ESG obligations, and investor scrutiny have transformed data from a reporting output into a strategic asset. One of the most pressing challenges discussed was the integration of financial, asset management, and operational data across countries and systems. Fragmented data landscapes, inconsistent KPIs, and manual consolidation continue to hinder transparency and decision-making. Leaders emphasised that the real bottleneck is rarely the technology itself. Instead, failures most often stem from: unclear requirements misalignment between systems and business goals lack of governance and ownership insufficient change management The roundtable highlighted the importance of unified data models as the foundation for automation, AI-supported analytics, and scalable real estate investment management. As CEE portfolios grow in size and complexity, the ability to structure and govern data coherently is fast becoming a competitive differentiator. The success of this first executive data roundtable signals a strong demand for further strategic dialogue on data across the region. From insight to execution Many participants expressed interest in moving from discussion to practical next steps — particularly around assessing current data maturity, governance models, and readiness for scale. Building on the principles discussed during the roundtable, iREMS supports real estate investors and managers through structured evaluation workshops and strategic advisory engagements, helping leadership teams: assess fragmentation and risk in current data landscapes define a unified data model aligned with business objectives establish governance and ownership frameworks prepare portfolios for automation, AI, and regulatory demands These engagements are designed as strategic assessments, not software sales discussions — supporting informed decision-making before system selection. Tags: CEE Property Forum CEE Property Forum 2025 data data management iREMS report

By PropTech Connect https://www.buzzsprout.com/2270743/episodes/18263512 Andreas Kozma  is the  Founder and CEO  of  iREMS International AG. iREMS  is a data-centric Asset and Property Management platform designed for large, international portfolios of landlords, developers, and service providers. It offers a fully integrated, end-to-end solution for clients such as CBRE, Adventum, Avison and Young, and PwC, helping them standardise operations, create efficiencies, and ensure quality control.  Andreas has always been driven by tech and case-based solutions, having developed an ERP system for a  Fortune 500  chemical company at the start of his career. Prior to iREMS, he has further worked for  Deloitte & Touche Central Europe  on large-scale IT system implementations throughout the region. During his tenure, Andreas successfully concluded business transformation and digitalization projects, showcasing his expertise in organizational development and change management.  Tune in  to this session to  gain insights  into: The importance of top-down data governance; Process of implementation of a new data strategy;  The issue of product complexity; Getting the data strategy right: case study; And so much more! Interviews with inspiring  Founders ,  Investors , and  Real Estate Executives  will be shared weekly on this podcast series - follow the PropTech Talks interview series and stay tuned! Connect with me on LinkedIn:  https://www.linkedin.com/in/matthew-maltzoff/

iREMS Platform - Unified Data Model - Future-proof Real Estate Asset Management In today’s market, leaders in real estate investment and portfolio management are confronted with fragmented data, siloed reporting, and increasing pressure to deliver both performance and transparency. At iREMS, we believe the firms that thrive will be those that turn complexity into clarity—consistently, and at scale. The iREMS Platform’s backbone is a   UnifiedDataModel , that enables: ✅ Daily operational financial data management on a single standard—ensuring accuracy and comparability across assets and regions. Integrated asset management, where financials, operations, and ESG factors connect seamlessly for a holistic view of performance. ✅ Flexible, stakeholder-ready reporting—from portfolio-level insights for executives to granular detail for asset and property managers. ✅ Role-based dashboards that provide interactive visualizations, KPIs, and decision support tailored to each level of responsibility. For forward-think real estate investors, this means decisions are no longer driven by lagging indicators or scattered spreadsheets. Instead, iREMS delivers a living, connected view of your portfolio—one that informs strategy, accelerates execution, and builds trust with investors. We look forward to engaging with peers and partners at Expo Real 2025 in Munich. Let’s connect and explore how iREMS, the Financial-and Sustainability Data Highway for Real Estate can help you align strategy with execution, while equipping every stakeholder with the clarity they need. 📅 Meet us   Eszter Kozma   &   Andreas Kozma   at Expo Real 2025 – we’d be glad to show how iREMS empowers real estate leaders to turn information into impact. 📥   inquiries@ire.ms

Effective data management - clearer path to data-driven decision-making In 2025, optimism is returning to European real estate. Stabilizing interest rates, rising transaction volumes, and strong fundamentals in logistics, residential, and hospitality sectors are fueling renewed activity. But for mid-sized and growing international firms, this momentum brings a different kind of challenge: scaling operations without losing control of financial visibility. Across Europe, ambitious real estate investors are running into the same roadblock: fragmented financial data infrastructure that can't keep pace with their growth. What’s emerging is a quiet but critical divide: firms that can make confident investment decisions and those who can’t. As firms expand across geographies and asset classes, the demands on finance and operations teams multiply. Stakeholders, from investors to regulators to internal leadership, expect timely, accurate reporting. But in many cases, backend processes and systems haven’t evolved at the same speed as the portfolio. Service and Support Challenges  “Most firms aren’t struggling to find opportunity,” says one industry consultant. “They’re struggling to manage it.” Key challenges include: Limited access to prompt, ongoing support and collaboration, leading to underused technology and delayed value. Lack of user skills to handle financial and asset data or customize reports, creating dependence on specialists and reducing agility. Transparency issues from Excel-based monthly reports causing delayed insights and inconsistent data. ESG reporting that often lacks tenant-level detail, limiting precise sustainability efforts. Complex, varying e-invoicing requirements across countries adding compliance difficulties. Fragmented systems and poor integration complicating workflows and data consolidation, reducing operational efficiency. How those who CAN make confident investment decisions are staying ahead “There are two things. First, we now have the opportunity to analyze data better than before. We have AI and systems to support us. We’ve moved beyond Excel sheets. Second, we need to tie it all together. We have different landlords, systems, data points, and standards in our leases. However, we haven’t always identified the key items, and that needs to change.” Marianne Voerman, Director, Finance & Operations, Shell “As clients demand more insights and expect landlords to provide more data and knowledge, the need to optimize, harmonize, and gather these insights shows that data is becoming a new natural resource.” Matus Liptak, COO, HB Reavis Real-World Approach from Large Portfolio Owners to Scaling Real Estate Operations in Europe 1. Regional Industrial-Logistics Developer - Fragmented Systems, Delayed Reporting A major real estate player struggled with siloed systems, ESG blind spots, and inconsistent reporting across regions. By consolidating operations on a unified platform, they gained a single view across asset, property, and fund-level operations, turning weeks of data consolidation into instant decision-ready insights. 2. Opportunistic Investor - Outsourced Tools, No Real-Time Visibility Asset managers relying on third-party service providers often face delayed updates and limited transparency. One investment group established an internal platform layer connecting property, leasing, and facility-related data streams, unlocking real-time portfolio intelligence and stronger control. 3. Leading Investment and Asset Manager - Multi-Country Operations, No Cohesion Cross-border portfolios often suffer from inconsistent workflows, localised tools, and incompatible data formats. One firm used iREMS to standardise operations across more than 10 countries, enabling real-time portfolio roll-ups and central ESG oversight, while preserving local team autonomy. 4. Global Service Provider - Excel Dependence, Bottlenecked Strategy Many teams still rely on legacy spreadsheets, especially in asset controlling and ESG tracking, leading to human error and outdated insights. A leading fund digitised recurring reports and streamlined access to ad hoc analytics, enabling faster, sharper investment decisions. 5. Growing Logistics Company Expanding Across Europe Supporting expansion into 12 countries, this logistics firm needed consistent reporting and operational oversight across jurisdictions. By aligning reporting across jurisdictions, they kept control during a high-growth phase, culminating in their acquisition by a global investor. Conclusion As real estate grows more complex, effective data management and collaboration become crucial. Success relies not just on technology but also on strong user support and adaptable strategies. iREMS was created to fill a gap in scalable, automated software designed specifically for real estate. Over time, it has extended focus toward helping organizations improve data management and operational efficiency through a combination of technology and real estate investment-specific business advisory. For growing investors, platforms like iREMS offer more than efficiency, they offer a clearer path to confident, data-driven decision-making. Article by PropTech Connect

iREMS is more than just a platform—it’s your central hub for data-driven decision-making in commercial real estate. As an owner or asset manager, you are empowered with a robust suite of tools to explore and leverage the full depth of your data. From identifying trends to comparing performance, iREMS Dashboards deliver rich, dynamic visualizations that help turn insights into action. Purpose-Built for the Real Estate Market Designed specifically for the commercial real estate landscape, iREMS offers a fully integrated solution combining: Property Management Accounting Advanced Asset Management Reporting This seamless integration lays a fully automated foundation under your reporting engine—giving you the fertile ground to grow your business and reap measurable results. Advanced Reporting that Works for You At the heart of iREMS is a powerful reporting module supported by a real-time transaction engine. Key features include: Tenancy Schedules Cashflow Reports NOI (Net Operating Income) Reports Comprehensive Data Warehouse Sophisticated, Customizable Dashboards Whether you're evaluating opportunities during the transaction phase or actively managing assets during the holding period, iREMS delivers consistent, accurate, and automated reporting tailored to your needs. Why iREMS Reporting Stands Out Web-Based Access : No rich client installation needed—accessible anytime, anywhere. User-Friendly : Non-technical users can easily track business trends and performance. Flexible KPI Analysis : Drill down and group metrics by period, country, brand, industry, or property. Multiple Visual Perspectives : View the same KPI in various visualizations for deeper insights. Fully Customizable Dashboards : Tailor visual layouts and formulas to suit your strategy. Direct Data Flow : Reporting data comes straight from leases—no extra user steps required. On-Demand Filtering : View reports for any time period, including specific days. From Data Entry to Executive Insight - a Seamless Flow Users input data through everyday use of the iREMS rich client. Lease data flows directly into the data warehouse. Automated transformation converts data into actionable reports. Reports and dashboards become instantly available to management. If your fund requires a sophisticated solution that supports your entire investment lifecycle—from acquisition analysis through long-term asset management— iREMS is your go-to platform . The Future of Real Estate Management In today's fast-paced market, having the right tools is crucial. iREMS not only streamlines your operations but also enhances your decision-making capabilities. Imagine making informed choices based on real-time data. This is the power of iREMS. Embracing Innovation The real estate industry is evolving. To stay competitive, you need to embrace innovation. iREMS is designed to help you navigate these changes effortlessly. With our platform, you can adapt to market shifts and seize new opportunities. Enhancing Collaboration Collaboration is key in real estate management. iREMS fosters teamwork by providing a centralized platform for all stakeholders. Everyone can access the same data, ensuring transparency and alignment across your organization. Maximizing Profitability Ultimately, the goal is profitability. With iREMS, you gain full financial insight and operational efficiency. This empowers you to make more profitable decisions and grow your portfolio. Conclusion In conclusion, iREMS is not just a tool; it's a game-changer for real estate investment firms, property management companies, and asset managers. By leveraging our integrated real estate management software, you can transform your operations and achieve remarkable results. Are you ready to elevate your real estate management? Let iREMS be your partner in success. singlesourceoftruth assetmanagement unifieddatamodel end-to-end-reporting digitaltransformation

💪 How can data ownership make you the master of your operating margins? Are you falling behind the modern standard?   On the 25th June,   Matus Liptak , COO, Investments at   HB Reavis ,   Andreas Kozma , Founder & CEO,   iREMS , and   Marianne Voerman , Global Sustainability Lead for Real Estate and Travel at   Shell , will share practical insights on: 1️⃣ Recent shifts impacting Investors, Developers, and Operators: What makes now a pivotal moment for the industry? 2️⃣ More data - More problems? Data can help assets go compliant, form strategy, help investment decisions, identify areas to increase NOI, etc… A data strategy seems required but extremely difficult? Why is that? 3️⃣ Strategies that deliver: How are unified data strategies already driving real business value? What makes them successful? 4️⃣ Action points to turn data into decision power: What are the first 2 actions real estate leaders should take to start making smarter, data-driven decisions? Register on the URL below to be able to access this live conversation next Wednesday, 25th June, at 3pm UK time. 👇 https://lnkd.in/dtpFwnkr By PropTechConnect

Rethinking Real Estate Investment Strategy: From Fragmented Insights to Strategic Intelligence The dynamics of real estate investment are changing rapidly. With capital flows tightening, portfolios diversifying, and risk exposure increasing across global markets, the ability to move from reactive to strategic has become imperative. The firms outperforming in today’s environment are not just managing assets—they’re leveraging intelligence through data-driven decision making. That shift begins with integrated data and ends with better decisions. iREMS: A Platform Built for Strategic Clarity iREMS (Integrated Real Estate Management System) is redefining how international investors, asset managers, and operators engage with portfolio performance. At its core, iREMS aligns operational performance, leasing activity, and financial data within a unified platform—offering visibility that traditional, silo systems cannot deliver. What sets iREMS apart is how it prioritizes the real estate business layer. Financial reporting on the accounting level—both management and statutory—is fully embedded within the system, but it remains a supporting structure, not the lead narrative. The business context always comes first. In real estate, a significant volume of financial and operational obligations exist outside the general ledger. iREMS is designed to manage these areas—capturing and monitoring financial data within, but also outside of the footprint of formal accounting systems. This ensures that decision-makers have a complete picture of performance, not just what's reflected in the end-of-quarter financial reporting packages. Market Signals: The Case for Transformation The demand for integrated, intelligent platforms is only accelerating. According to a 2024 Deloitte global real estate survey: • 56% of firms report that lack of system integration is a primary barrier to strategic portfolio management. • 47% cite outdated technology as a key limitation to executing data-driven decisions. • Meanwhile, CBRE notes that 60% of institutional investors are either actively implementing or planning to expand their use of advanced analytics in investment strategy within the next 18 months. The direction is clear: insights must be real-time, holistic, and predictive—not historical and disjointed. Strategic Advantages Enabled by iREMS iREMS delivers several key capabilities that directly support executive decision-making: • Real-Time Visibility Across Functions Asset managers, finance leads, and operations teams work from a shared data model, with a unified view of key performance indicators—whether tied to tenant performance, cash flow forecasting, or ESG compliance. • Operational Intelligence with Financial Integrity Statutory and management accounting processes are fully integrated in a closed system, ensuring regulatory compliance and stakeholder reporting without distorting the real-world view of portfolio dynamics. • Predictive Insights, Not Just Reporting With embedded analytics and scenario modeling, decision-makers can test strategic moves before executing, from rebalancing asset classes to adjusting capital deployment. • Scalable Across Regions, Flexible Across Strategies iREMS supports complex, multi-jurisdictional portfolios with agility. Whether managing commercial, logistics, residential, or mixed-use assets across different tax regimes and markets, the platform delivers consistency without sacrificing specificity. Accounting as Infrastructure, Not A Limitation In iREMS, accounting is deeply integrated—but it is not the principal frame of reference. Business performance defines strategic direction. Accounting provides structure, compliance, and verification. The platform enables organizations to track, manage, and respond to financial realities, including those that do not traditionally pass through the general ledger, such as off-book lease liabilities or deferred revenue structures common in real estate transactions, among others. Looking Forward: From Data Consolidation to Strategic Differentiation The industry is no longer debating whether to digitize—it's defining how to do it meaningfully. In a market where margin pressures, regulatory scrutiny, and capital discipline are all intensifying, the difference between success and stagnation often lies in decision velocity and clarity. iREMS offers both. For organizations looking to elevate from operational efficiency to true strategic advantage, a platform like iREMS is not optional—it is foundational. This is not about replacing spreadsheets. It’s about reshaping how real estate portfolios are understood, managed, and grown in an increasingly complex investment landscape. #iREMS #increasedROI #UnifiedDataModel #RealEstateFinancialInsights