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How Business Intelligence is Helping Real Estate Industry and Firms

Business intelligence tools applied to the commercial real estate market can give 投资者 the support they need to maximize profit and minimize...

写的 尼尔·帕特尔 · 4分钟阅读 >
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Why BI should be introduced in Real Estate Industry?

The real estate industry is vast and complicated. Perhaps more so is the data that circulates inside these organizations. Despite the fact that this knowledge is complicated, it should not be ignored. The information is often useful for accounting, 审计, 金融, 市场营销, 以及人力资源目的. 当没有充分或正确地解释时, it provides valuable knowledge and reflects lost opportunities. It directs efficiency-optimizing decisions that result in higher returns and lower costs when used correctly. Take ownership of your organization’s data treasure and transform it into information. This is where Business Intelligence help Real Estate Industry

It should come as no surprise that the real estate industry is becoming increasingly dependent on data analytics. 房地产公司, 投资者, and even home buyers can all benefit from using business intelligence, 或者房地产行业的BI, 资源,以作出更准确的决定.

How Business Intelligence is Helping Real Estate Firms

BI – Business Intelligence Helping People Find Properties

For those looking to analyse real estate data, BI has a lot to offer. 例如, someone looking for a condominium for rent on ZipMatch may also want to compare their preferred Manila neighbourhoods to the rest of the city.

简化销售流程

Sellers and brokers profit directly from BI resources as well. Since market data is so vast, it’s almost impossible to spot important patterns without any help. 不幸的是, not everyone has the financial means to hire a full-time team of property market analysts.

BI tools that monitor previous industry performance figures, 例如在特定地区的销售, assist sellers in setting competitive asking prices. 它们也有助于晋升.

财务管理

Without the need for complicated reporting configurations, gain insight into your financial administration with the help of business intelligence in Real Estate. Data from your systems is pulled directly into a dashboard and visualized. A live feed of your balance and cash flow statements is available in the dashboard. Keep track of your profit goals and stay informed of what’s going on in your business.
Combining various data sources can yield powerful insights. Connect your financial data to your core business data to conduct sophisticated scenario analysis and forecasting techniques.

税流程

This is only one of many opportunities for Business Intelligence in the real estate industry. View the other trilogy articles on Data Analytics and Robotic Process Automation (RPA) in the Real Estate sector on www.德勤.问/ bps.

未来的好处 Business Intelligence in Real Estate Industry

  • Due to the elimination of manual process, the operating cost is lowered down
  • 减少报告错误的机会
  • Improves the speed and efficiency at which a company can determine specific exposure and risk, 提高整体业务敏捷性
  • Streamlines operations by automating and standardizing the aggregation of information from various entities irrespective of geography, 技术, 或商业模式
  • Establishes an architecture that will support future growth including additional assets in existing entities, 新产品, 和新平台

房地产BI工具的十大关键功能

Now that you’ve learned about the power of business intelligence, one thing you should do before diving into platforms is making a prioritized list of the features you need. Advanced features are available from a reputable business intelligence real estate tool to make the process more streamlined and effective. Must say different organizations will invest in a Business Intelligence (BI) for real estate for different reasons depending on their specific circumstances and industry. Here are few feature that must-have for real estate business tool

6 Key Features of any Business Intelligence Solution
Must have features in Business Intelligence tool for Real Estate

无论个人议程如何, here are eight features you should insist upon in any BI solution for real estate, no matter the circumstances of its application:

  1. 报道称,排名
    Ranking reports make it simple to see the aspects of your company are doing well and which are not, from goods to 市场营销 strategies to salespeople. 专注于你的结果, you can display rankings across multiple dimensions and define different requirements.
  2. 分析假设
    If you want to see how a future decision would affect your company, you can do a “what-if” study with historical data to see what the consequences could be. What-if analysis tools provide an analytical view of the costs and benefits associated with each possible decision, allowing you to better prepare for the future.
  3. 执行仪表板 -以图表的形式, 地图, 摘要, 以及其他信息报告, executive dashboards provide your organization’s leaders with a real-time summary of your company. They enable your company’s executives to make more informed, timely, and effective decisions.
  4. 用户可以压缩大量s of collected data into a number of potential views using interactive reports. Users can use tools like statistical analysis and regression to spot patterns, 异常, 以及他们的结果中的异常值.
  5. Business intelligence features like this will provide the company’s executives with a 简洁的概述 of the day’s activities at the end of each day, giving them the details they need.
  6. 这些指标与您的业务保持一致 – Not all business intelligence systems are created equal, nor are they designed with commercial real estate in mind. Instead of standardized data that will need to be customized, the best approach will be designed with the metrics you’re already monitoring.
  7. You can have daily updates sent to your inbox by 安排他们: You can schedule a daily cadence of reports to be delivered directly to your inbox in a matter of seconds with the right platform in place.
  8. It’s simple to integrate with your other software: If you don’t, the amount of data you can use in your business intelligence visualizations would be limited, reducing the quality of your observations and your ability to have a real business effect.

Business intelligence is your key to unlocking better portfolio insights in Real Estate

You’ll be able to take action on your portfolio data and uplevel your company with easy-to-understand insights. And now there’s a solution designed by and for the most prominent commercial real estate landlords. Many BI for real estate companies will provide you with business intelligence wherever you are.

A framework of business intelligence solution for real estates analysis

Real estate is one of the most important and difficult fields in the market that represents the economy, 它仍然需要改变. 在当今世界, business intelligence plays a critical role in improving decision-making and risk management in a variety of fields. The real estate investment sector is one of the most promising fields. This paper introduces a framework for a successful business intelligence approach for evaluating the real estate market and forecasting property prices. Researchgate demonstrates the creation of a real estate BI solution, which goes through many stages.

Real estate business intelligence: it’s never been easier to get the insight you need

It’s no secret that real estate firms have lagged behind their counterparts in other industries when it comes to adopting emerging innovations.
It shouldn’t come as a surprise; companies are gathering more data than ever before, and with a number of powerful resources at their disposal, getting the useful insight you need to move your company forward has never been easier.
原生分析得到了改进
You’ll already be using a range of tech tools in your day-to-day work, from email platforms to property management systems, and each of these will have its own reporting features and functionality.

5个必备的房地产BI工具

  • 表 
  • QlikView
  • 权力BI
  • 板软件
  • Zoho的分析

关闭声明

The growth of business intelligence continues to change the way many businesses work and operate. Just recently has the real estate industry begun to catch up. Custom-made software systems that take into account the many conventional, 非传统, and dynamic data sets of real estate may be better suited to serve the needs of large real estate firms.

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role of business intelligence in retail industry, discuss the main tools and devices used in retail industry, 零售行业使用的工具, 在零售行业使用商业分析, 零售智能系统, business intelligence case studies retail industry, 零售业分析, importance of business 零售业分析,

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