Assetsoft - Blog #Data GovernanceAssetsoft - Blog #Data Governancehttps://www.assetsoft.biz/blogs/tag/data-governanceMon, 27 Apr 2026 11:44:51 -0700http://zoho.com/sites/<![CDATA[Digital Sovereignty in PropTech: Managing Yardi & MRI Data Risks in 2026]]>https://www.assetsoft.biz/blogs/post/digital-sovereignty-in-proptech-managing-yardi-mri-data-risks-in-2026Explore how geopolitical tensions and data sovereignty laws in 2026 impact Yardi and MRI Software. Learn how real estate firms can manage data residency, compliance risk, and global ERP strategy effectively.]]>

The Direct Answer

Geopolitical instability in 2026 is not just a foreign policy problem, it is a PropTech infrastructure problem. Sanctions regimes, cross-border data restrictions, and the growing fragmentation of cloud supply chains are creating real compliance exposure for real estate firms running Yardi and MRI Software across multiple jurisdictions. Firms that treat data residency as a strategic asset, not a checkbox, will be the ones best positioned to weather continued regulatory turbulence.

How Geopolitical Instability Directly Impacts Cloud-Based ERP Systems Like Yardi and MRI

The 2026 geopolitical landscape is unlike anything global real estate operators have navigated before. Fragmented trade blocs, expanded sanctions regimes, and heightened scrutiny of cross-border data flows have converged into a single, uncomfortable reality: the cloud infrastructure your firm runs on today may be non-compliant tomorrow, and you may not know it until regulators do.

For real estate companies operating across Canada, the United States, Australia, and the Gulf Cooperation Council, this is not abstract risk. Yardi and MRI Software are cloud-hosted ERP platforms. Both store financial records, lease data, tenant personally identifiable information (PII), and operational workflows in data centers that span multiple sovereign jurisdictions. When a government designates a data pathway as restricted or updates its data localization rules, the compliance exposure flows directly into your ERP stack.

Consider the operational reality: a Canadian REIT with assets in the UAE, using Yardi Voyager hosted on US infrastructure, may route tenant financial data through a data center in a jurisdiction newly subject to regulatory constraints. The platform itself is not the problem. The absence of a clear data governance layer on top of that platform is.

Three geopolitical vectors are reshaping cloud ERP risk in 2026:

- Supply chain exposure. Real estate firms that rely on a single hyperscale (AWS, Azure, or GCP) for their Yardi or MRI environment are implicitly exposed to that cloud provider’s jurisdictional footprint. When a provider’s home government asserts extraterritorial access rights, as the US CLOUD Act does, that exposure becomes a compliance question, not just a procurement one.

- Extraterritorial data demands. The US CLOUD Act, in force since 2018, allows US authorities to compel US-domiciled cloud providers to produce data stored anywhere in the world. For global real estate operators, this creates overlapping and sometimes contradictory legal obligations on the same dataset when combined with GDPR and GCC data localization rules.

- Regulatory velocity. The pace of change is accelerating. Canada’s federal privacy reform is expected to be reintroduced in 2026. The EU-US Data Privacy Framework survived its first major legal challenge in September 2025, but a CJEU appeal remains possible. Saudi Arabia’s PDPL entered active enforcement in 2025 with 48 confirmed enforcement decisions. Static compliance postures built around last year’s regulatory map are already lagging.

Data Residency Requirements: Navigating US, EU, and Gulf Region Regulations

Data residency, the legal requirement that certain data must be stored and processed within a specific geographic boundary, has moved from a niche concern to a board-level issue for global real estate operators. Here is where the key jurisdictional frameworks stand in 2026 and what they mean for PropTech deployments.

United States

The US does not have a federal comprehensive data residency law equivalent to GDPR, but the CLOUD Act, enacted in March 2018, creates effective extraterritorial reach. It allows US law enforcement to compel US-domiciled cloud providers to produce data stored anywhere in the world. The jurisdiction follows corporate control, not data location. For real estate firms with international operations using US-hosted ERP platforms, this means data stored by Yardi or MRI is potentially reachable by US authorities regardless of the tenant’s home jurisdiction. Canada-based operators should address this in their vendor contracts and data governance documents.

Additionally, as of January 2024, the US-Australia CLOUD Act bilateral agreement came into force, enabling direct cross-border data requests between US and Australian law enforcement, bypassing the slower MLAT process. Australian real estate operators using US-hosted platforms should factor this into their data governance reviews.

European Union

GDPR Chapter V governs international data transfers from the EU and remains the most consequential data residency framework globally. The EU-US Data Privacy Framework (DPF), adopted by the European Commission on July 10, 2023, provides a mechanism for lawful transfers to US entities that self-certify. On September 3, 2025, the EU General Court dismissed a legal challenge brought by French MP Philippe Latombe, confirming the DPF’s validity based on the facts and law as they stood at the time of the adequacy decision.

However, the ruling can be appealed to the CJEU, and NOYB, the privacy organisation led by Max Schrems, has signalled it may file a broader challenge. The General Court itself noted that the European Commission is required to monitor the DPF’s adequacy on an ongoing basis. Organizations relying on the DPF for EU-US data transfers should maintain Standard Contractual Clauses (SCCs) as a parallel transfer mechanism. For firms using MRI or Yardi’s EU-hosted environments, explicit contractual data residency commitments from the vendor are essential, not assumed.

Gulf Cooperation Council

The GCC is rapidly building out its own sovereign data architecture. Saudi Arabia’s Personal Data Protection Law (PDPL) was issued under Royal Decree No. M/19 (September 2021), amended March 2023, and in force from September 14, 2023, entered its active enforcement phase in late 2024. As of January 2026, Saudi Arabia’s Data and AI Authority (SDAIA) has issued 48 confirmed enforcement decisions. The PDPL applies extraterritorially: any entity outside the Kingdom that processes personal data of individuals residing in Saudi Arabia is within scope, regardless of where that entity is domiciled.

In February 2025, SDAIA issued a Risk Assessment Guideline for Transferring Personal Data Outside the Kingdom, requiring controllers to conduct a formal four-step risk assessment before any cross-border data transfer. Until an adequacy list is published, Saudi-approved Standard Contractual Clauses are the required transfer mechanism.

The UAE’s Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data (PDPL), which came into effect on January 2, 2022, similarly governs personal data processing by companies inside the UAE and by foreign companies processing data of individuals within the UAE. Executive regulations are pending, but enforcement by the UAE Data Office is anticipated. Note that entities in the DIFC and ADGM free zones operate under separate, parallel frameworks.

For real estate operators with assets in Riyadh, Dubai, or Abu Dhabi, tenant PII, lease records, and financial data related to GCC operations may require locally compliant processing. Yardi and MRI both have regional hosting options, but those options must be explicitly selected, configured, and contractually locked in. Default deployments are not automatically compliant.

Australia

Australia’s Privacy and Other Legislation Amendment Act 2024, passed in late 2024, strengthened obligations around cross-border data transfers and introduced a statutory tort for serious invasions of privacy. The majority of amendments commenced in 2025, with a further requirement on automated decision-making disclosures commencing December 10, 2026.

The Australian Prudential Regulation Authority (APRA) Prudential Standard CPS 234 (Information Security), in force since July 1, 2019, applies to all APRA-regulated entities, including banks, insurers, and superannuation funds. It requires that information security be maintained commensurate with threats, that third-party service providers (including cloud-hosted ERP platforms like Yardi and MRI) comply with the same standard, and that APRA be notified within 72 hours of any material information security incident. Australian real estate firms with APRA-regulated financial institution relationships, or those structured as REITs with superannuation fund investors, should assess whether CPS 234 obligations flow through to their PropTech stack.

De-risking Your Tech Stack: Why a Unified Data Strategy Is the Best Defense

The instinct most organizations have when facing regulatory complexity is to add layers: another compliance tool, another vendor contract, another policy document. This instinct is wrong. The firms that successfully navigate geopolitical data risk in 2026 are not the ones with the most compliance tools. They are the ones with the clearest data strategy.

A unified data strategy for a global real estate operator means knowing, with precision, five things:

1. Where your data actually lives. Not where your vendor says it lives, but where it lives, including backup, replication, and disaster recovery environments. Many Yardi and MRI deployments have primary data in one region and backup infrastructure in another, creating unintended cross-border data flows that may not be reflected in vendor documentation. Data localization laws govern where data sits, not just where it is processed.

2. What categories of data are in scope for which regulations. Not all real estate data carries the same regulatory weight. Aggregated financial performance data is generally lower risk than individual tenant PII or biometric access records. A data classification framework, even a simple one, allows proportionate controls and avoids over-engineering low-risk data flows.

3. Who has access across which jurisdictions. For firms with offshore development, support, or managed services teams, data access controls need to be jurisdiction-aware. A support ticket resolved by a team member in a foreign jurisdiction that touches data governed by Canadian PIPEDA, Australian Privacy Act requirements, or Saudi PDPL creates a cross-border processing event that must be governed explicitly. The CLOUD Act’s principle that jurisdiction follows corporate control extends to your service providers.

4. What your vendor contracts actually say. Most enterprise software agreements contain broad data processing addenda that give vendors significant latitude in where and how they process your data. Read them. Negotiate them. Require jurisdiction-specific data processing agreements for regulated data categories. For EU data, verify that Standard Contractual Clauses are in place as a parallel mechanism alongside any DPF reliance.

5. How quickly your governance can adapt. The regulatory environment will continue to change. A data governance framework that requires six months to update is not a strategy; it is a liability. Build for change velocity, not just current-state compliance.

    The Role of AI in Real-Time Compliance Monitoring

    The traditional approach to compliance monitoring is retrospective: conduct an annual audit, identify gaps, and remediate. In a geopolitical environment where regulatory change can happen in weeks, sanctions lists updated overnight, adequacy decisions challenged in court, and new enforcement regimes activating retrospective monitoring, it is structurally inadequate.

    AI-powered compliance tooling changes this equation. Applied to a real estate technology stack, AI can support:

    •  Continuous data flow mapping. Monitoring tools that track every data movement across your ERP ecosystem in real time, flagging cross-border transfers against a live regulatory ruleset. When a new data residency requirement comes into force, the system identifies affected flows immediately, not at the next audit cycle.

    •  Automated regulatory change detection. Tools that monitor legislative databases, regulatory agency publications, and enforcement actions across multiple jurisdictions simultaneously, surfacing relevant changes to compliance teams with context rather than raw regulatory text.

    •  Anomaly detection in access patterns. Surveillance of data access logs that can identify unusual cross-border access to a support account accessing GCC-regulated data from an unauthorized geography, for example, before it becomes a reportable incident.

    •  Contract gap analysis. AI document analysis that compares vendor data processing agreements against current regulatory requirements, identifying clauses that were compliant at signing but no longer satisfy current standards, particularly relevant as the EU-US DPF faces potential further legal challenge.

      What This Means for Your Organization: Four Actions You Can Take Today

      1. Audit your current data residency reality. Ask your Yardi or MRI implementation partner to document, in writing, where your primary, backup, and replication data currently reside. Compare that against your regulatory obligations in each jurisdiction you operate in, including whether the US CLOUD Act’s extraterritorial reach is relevant to your configuration.

      2. Classify your data by regulatory sensitivity. At a minimum, distinguish between tenant PII, financial records, operational data, and aggregated analytics. Apply jurisdictional mapping to each category. Saudi PDPL and UAE PDPL both apply extraterritorially to foreign entities processing the personal data of individuals in those countries.

      3. Review your vendor data processing agreements. Look specifically for provisions that permit vendor subprocessing in unspecified geographies. For EU data, verify that SCCs are in place alongside any DPF reliance. For GCC data, confirm regional hosting options are explicitly configured, not assumed.

      4. Build a regulatory change monitoring cadence. Establish a process for tracking regulatory developments in your key jurisdictions on at least a quarterly basis. The EU-US DPF is under continued legal scrutiny at the CJEU level. Canadian federal privacy reform is expected to be reintroduced in 2026. The GCC regulatory environment is moving quickly. Informal monitoring is not sufficient at this velocity of change.

      How Assetsoft Helps Global Real Estate Organizations Navigate This Landscape

      Assetsoft has spent 25 years implementing and optimizing Yardi and MRI environments for real estate organizations across Canada, the US, and Australia. That depth of platform knowledge, combined with a genuine multi-jurisdictional delivery model spanning Canada, India, Sri Lanka, and the US, positions Assetsoft to help global real estate operators navigate the intersection of ERP architecture and data sovereignty strategy.

      This is not a compliance consulting practice that has learned PropTech. It is a PropTech practice that understands compliance and the difference matters when the regulatory landscape is moving as fast as it is today.

      Assetsoft holds Yardi Virtuoso Certified and ICN Partner status, MRI Gold Service Partner certification, Procore Helix Beta participation, and UiPath Fast Track Agent certification. Our technology advisory practice supports real estate organizations with ERP strategy, integration architecture, and compliance-aware technology planning.

      If your organization is assessing its data residency posture, reviewing vendor agreements in light of current geopolitical conditions, or evaluating how AI-powered compliance monitoring could be integrated with your existing Yardi or MRI environment, Assetsoft’s technology advisory team is the right starting point.

      Speak with an Assetsoft technology advisor about your organization’s data sovereignty posture.

      📧 info@assetsoft.biz  |  🌐 www.assetsoft.biz

      Assetsoft is a Yardi Virtuoso Certified and ICN Partner, MRI Gold Service Partner, Procore Helix Beta participant, and UiPath Fast Track Agent certified. Our technology advisory practice supports real estate organizations in Canada, the United States, and Australia with ERP strategy, integration architecture, and compliance-aware technology planning.

      Get Started Now
      ]]>      Mon, 06 Apr 2026 07:14:27 -0500      <![CDATA[The Hidden Risk of Excel: Why Shadow Ledgers Threaten Compliance]]>https://www.assetsoft.biz/blogs/post/the-hidden-risk-of-excel-why-shadow-ledgers-threaten-complianceShadow Excel ledgers create audit, compliance, and business continuity risks. Learn why spreadsheets threaten governance and how to fix it.]]>

      When your "system of record" is actually a spreadsheet on a desktop, you don’t have a data strategy. You have a liability.

      The Illusion of Control

      If we asked your CIO where your financial data lives, they would point to Yardi, MRI, or SAP. They would show us the ERP implementation, security protocols, and disaster recovery plans.

      But if we asked your Portfolio Managers where the real numbers are, the complex waterfall calculations, the development feasibility models, or the joint venture consolidations, they wouldn't point to the ERP. They would point to a file named Q3_Fund_Report_FINAL_v4.xlsx saved on a shared drive.

      This is the Shadow Ledger.

      It is a secondary, parallel accounting system that exists entirely outside your governance framework. For Risk Advisory leaders, it is one of the most significant yet overlooked threats to organizational compliance.

      The "Black Box" of Audit Risk

      The fundamental problem with the Shadow Ledger is that it breaks the chain of data lineage.

      In a governed ERP environment, every transaction has a user ID, a timestamp, and an audit trail. If a number changes, you know who changed it and why.

      In an Excel-based Shadow Ledger, that audit trail vanishes.

      • Unverifiable Logic: A complex spreadsheet often relies on formulas written by an employee who left the firm three years ago. There is no documentation for the logic. If a cell reference is broken or a hard-coded "plug" figure is added to balance the sheet, the auditor will never find it.
      • The "Fat Finger" Exposure: We all remember the infamous "London Whale" incident, where a copy-paste error in a spreadsheet contributed to a $6 billion trading loss. In Real Estate, similar mistakes in manual Net Asset Value (NAV) calculations can lead to material misstatements in investor reporting.
      • Lack of Version Control: When three different analysts are working on three local copies of the "Master Sheet," which one is the truth?
      For a Governance Partner, this is a nightmare. You cannot certify compliance when the underlying data processing engine is effectively a "black box" sitting on a desktop.

      The "Key Person" Vulnerability

      Beyond the math, the Shadow Ledger creates an unacceptable operational risk: Dependency.

      We frequently see multi-billion-dollar portfolios where the entire quarterly reporting process hinges on a single "Excel Wizard" who knows how the macros work. If that person gets sick, quits, or deletes a tab by mistake, the firm’s reporting capability grinds to a halt.

      This is not a software problem; it is a business continuity risk. Relying on manual spreadsheets for core business logic violates the basic principles of operational resilience.

      Moving from Shadow to System

      The solution is not to "ban Excel" (which is impossible), but to strip it of its database capabilities.

      To satisfy modern governance standards (including SOX, SOC 1/2, and ISO), firms must migrate their "Shadow Logic" back into the "System of Record."

      1. Standard and Sanitize (The Service Layer): Before data can be automated, it must be clean. This requires a forensic review of Shadow Ledgers to understand the manual adjustments being made. Specialized partners (such as Assetsoft) can reverse-engineer these spreadsheets, clean the underlying data, and migrate the logic back into the ERP, where it belongs.
      2. Automate the Lineage (The Integration Layer): Where the ERP lacks functionality, do not revert to Excel. Use middleware (such as Cherre, Kriyago, or Altus Cloud) to build immutable, auditable bridges between systems. If you need to calculate complex waterfalls or aggregations, do it in a controlled environment where the data flow is automated and traceable, not copy-pasted.

      The Governance Mandate

      In the current regulatory climate, "we calculated it in Excel" is no longer an acceptable answer for an audit trail.

      The Shadow Ledger works until it doesn't. And when it fails, whether through a formula error, a data breach, or a lost file, the cost is far higher than the price of fixing the data.

      It is time to bring your data out of the shadows and back into the light of governance.

      Get Started Now
      ]]>      Mon, 22 Dec 2025 08:03:00 -0500      <![CDATA[How Can Big Data Help Change The Commercial Real Estate Industry In 2021? ]]>https://www.assetsoft.biz/blogs/post/how-can-big-data-help-change-the-commercial-real-estate-industry-in-2021Big data has turned into one of our clients' most common service requests, particularly with solutions  like AI data forecasting . This year's outl ]]>
      How Can Big Data Help Change The Commercial Real Estate Industry In 2021?

      Big data has turned into one of our clients' most common service requests, particularly with solutions like AI data forecasting. This year's outlook includes significant developments in this technology. 

       

      2021 also promises lots regarding COVID-19 recovery. When combined with the right strategy and skills, 2021 can be crucial for commercial real estate. That's why we're dissecting big data and what it can do for commercial property managers. 

      Big data and 2021: Why should you care? 

      People believe big data is significantly more complicated than it is. Most digital marketers agree that big data merely refers to prominent volumes of data. It doesn’t matter whether it’s generated from people or machines. 

       

      Leveraging this data is vital for decision-making, especially since it’s readily available. Every smartphone user generates gigantic quantities of data. That’s why social media and other platforms can offer accurate ads depending on every user’s preferences. 

      Is real estate lagging? 

      There's a common belief that the real estate sector has been neglecting big data. Common arguments include how eCommerce and advertising platforms have revolutionized their industries with this. However, that isn't true. 

       

      Standard big data implementation methods from these sectors are quite common in real estate. The most advanced companies use big data to communicate with their customers, send them notifications, streamlining processes, and tracking performance. 

       

      Today, most property management apps, like Yardi or MRI, utilize big data in the same way. That includes advanced automation integration. 

      Popular applications of big data 

      As you might have inferred, big data is already vital in many aspects. Once we start considering businesses and organizations, the scope grows exponentially. Influential companies can leverage this information to improve their operations. 

       

      Even governments take advantage of big data to improve administration and security. Understanding how companies and states are using this technology is a significant step. It sheds light on how you can leverage this technology to boost your recovery in 2021. 

      Security policy

      Big data analysis is a primary advantage for security when focused on historical and geographical data. States are already doing so: utilizing big data to reduce crime rates. 

       

      For companies, that means they can assess the security risks tied to their properties, investments, and even offices. 

      Traveling

      Traveling is another industry that takes advantage of big data, but any company can do the same. Property management firms can estimate budgets for necessary travels. 

       

      There's already specialized software for helping companies manage their traveling needs. SAP Concur is an excellent example of the latter. 

      Risk detection

      Detecting risks was one of the first applications of data analytics in general. That’s true for fraud, bad investments, and anything resulting in financial loss. 

       

      Property management firms can use big data to assess how certain risky investments can be. It's even useful for evaluating specific demographics when analyzing prospective tenants. 

      Risk management

      Once someone identifies risks, management becomes more straightforward. Analyzing big data also allows companies to analyze which decisions are more advantageous in these cases. 

       

      Historic data presents a deep insight into how other companies resolved similar issues in the past. It can be a critical benefit. 

      Logistic efficiency 

      Delivering logistic services, especially amid COVID-19, can be tedious and complicated. Big data allows logistic operations to optimize their processes. 

       

      Big data allows companies to find the best routes for delivering resources, building materials, and more. That’s why Procore and other apps are efficient. 

      Internet provision

      Big data has played a vital role in enabling people to know which internet providers work better in various locations. Why does this matter? Because it changes property values. 

       

      The internet is invaluable in today’s society. Many tenants will turn down lease agreements or property purchases if the internet isn’t good in the area. 

      Financial management

      Finally, proper expense management is the difference between optimizing profits and investing money for no returns. 

       

      Analyzing big data lets companies pay more attention to the ideal investment opportunities. Big data is excellent for analyzing the actual returns from investments, 

      What trends should you keep an eye on?

      Now, big data is technically just a concept. Sure, you can implement data volumes to improve your company, but how do you do so? Big data isn’t a technique or software you can integrate into your company. 

       

      So far, big data has been vital for innovations like machine learning. However, several interesting trends in big data implementation have been growing recently. 2021 could be the year where significant developments start occurring, so don’t lose track of these trends. 

      Augmented analytics

      Augmented analytics allows AI-related tools to increase their capabilities. It's an integration between machine learning and traditional AI scripting to prepare, analyze, and produce insight from data analytics. It improves data management, reducing the time it takes to leverage data for businesses. 

      Continuous intelligence

      Continuous intelligence is integrating real-time data analysis for ongoing business processes. The article states that real-time analytics will be a primary driver for businesses by 2022. This technology allows firms to leverage the latest data as soon as it's available. 

      DataOps

      DataOps is the data version for DevOps: same direction with a different focus. It focuses on integrating data via collaboration throughout the organization. It reduces the time and effort it takes to produce, analyze, and implement data insight. 

      In-memory computation

      In-memory computation is similar to continuous intelligence: it speeds up analytics by eliminating disks' dependency on data. It bases all data flows from RAM storage, determined to be over 100 times quicker than the traditional method. 

      Edge computing

      Edge computing distributes computing frameworks to locate computations closer to data sources. The goal is to ensure the lowest latency and best scalability as cloud analytic solutions become more popular. 

      Data governance

      Data governance focuses on optimizing information usage within companies and organizations. It deals with data security, management, and integrity. It ensures companies have access to the most reliable data available.  

      Data virtualization

      Finally, data virtualization compiles all the data from companies spread across multiple systems and platforms. It ensures all this data is readily accessible from a central source for better governance and deliverability. 

      Is its value increasing?

      As we mentioned, big data isn't new to real estate. Many companies have leveraged this information for several years now. Even experts like JLL have reported the value big data can offer to real estate as far back as 2019. 

       

      According to the article, big data has played a vital role in tailoring investment experience. Today's efficiency for storing and analyzing data enables all parties to understand the features, risks, and opportunities in all property investments. 

       

      The article also details how innovations like mobile communications and the Internet of Things have driven big data significantly. The relationship between big data and the IoT is symbiotic, and the latter has already proven its place in real estate. 

       

      In essence, the article from JLL explains that big data is rapidly increasing in value. That holds for all industries implementing it. Given how COVID-19 has battered commercial real estate, no one should overlook the value this brings. 

       

      During the coronavirus’ recovery, understanding which markets are doing better is a critical advantage. It can make the difference between adapting to the new world or remaining in a recession. 

      Is big data already the industry?

      Finally, this overview of big data's real estate implications from Intellectyx offers excellent insight into the subject. Big data is a benefit in its own right, but the advantages it brings are vital for commercial real estate. That's crucial in a post-coronavirus economy. 

       

      However, big data is as beneficial as you can leverage it. Therefore, let’s close the article by going with some of the most considerable advantages big data brings to commercial real estate. 

      Investment evaluation

      Big data analytics is vital for investors to investigate whether or not an investment opportunity is worth the money. That's true for both companies and individuals, as big data is excellent for promoting transparency. Knowing which properties to buy is easier than ever. 

      Improving operations

      Tenants and buyers can feel safer with the investments offered by your company. Real estate developers can also promote their offers via transparency and showcasing their customer-first approach. Providing all the information your clients need is the best way to attract them. 

      Better management 

      Property managers benefit from big data because it enables them to access all the analytics reflecting the company’s performance. It shows room for improvement, current and potential losses, and countless other vital factors for optimizing management. 

      Risk mitigation

      As COVID-19 begins to give way to recovery, taking risks becomes considerably more dangerous. It can make a world of difference on whether or not a company recovers to pre-coronavirus levels. Big data allows firms to identify which of these risks are worth taking. 

      Understanding demographics

      Finally, big data lets you understand the best audience for your offers. You can identify the best prospective tenants, buyers, and even resources for hiring. Knowing what to aim for is ideal for ensuring a company’s profitability. 

      ]]>      Sun, 07 Mar 2021 20:00:00 -0500