BI Application Development For Real Estate Management - PowerPoint PPT Presentation

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BI Application Development For Real Estate Management

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In this blog post, we highlight the importance of BI application development for real estate management with a focus on the key areas where BI tools could be applied. Subsequently, we shall get familiar with the nitty gritty of the ideal execution strategy for BI tools as well as the ETL methodology. – PowerPoint PPT presentation

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Date added: 5 January 2024
Slides: 4
Provided by: oodlesERPsolutions
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Title: BI Application Development For Real Estate Management


1
BI Application Development For Real Estate
Management
2
  • In todays hard-pressed business environment, a
    majority of agencies in the real estate sector
    are moving toward digital transformation. Driven
    by the fourth industrial revolution, real estate
    companies are rapidly embracing next-gen
    technologies to streamline their operations and
    boost profitability. Business intelligence is one
    such technology that has gained extensive
    adoption across the real estate industry over
    recent years. That said, there has been a sharp
    rise in the demand for BI application development
    services for real estate management.
  • BI application development for real estate
    management involves the use of advanced analytics
    and visualization tools to help enterprises gain
    valuable insight into business data. Besides, it
    enables enterprises to keep pace with the latest
    market trends and effectively respond to customer
    demands.
  • https//erpsolutions.oodles.io/blog/bi-application
    -real-estate-management/

3
  • The Importance of BI Application Development
  • Evidently, BI application development has
    transformed the real estate industry, enabling
    companies to access and analyze large volumes of
    data quickly and more accurately. Real estate
    agencies can use BI tools to gather data from
    multiple sources such as property listings,
    broker profiles, customer logs, and financial
    records. Furthermore, this data could be analyzed
    to gain insights into the most crucial KPIs,
    customer behavior patterns, and the latest market
    trends.
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