{"id":41614,"date":"2024-06-28T18:36:55","date_gmt":"2024-06-28T16:36:55","guid":{"rendered":"https:\/\/www.gloval.es\/?page_id=41614"},"modified":"2025-06-03T12:32:03","modified_gmt":"2025-06-03T10:32:03","slug":"real-estate-big-data","status":"publish","type":"page","link":"https:\/\/www.gloval.es\/en\/services\/real-estate-big-data\/","title":{"rendered":"Real Estate Big Data"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row unlock_row_content=&#8221;yes&#8221; row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;0&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;0&#8243; back_color=&#8221;color-xsdn&#8221; back_image=&#8221;31665&#8243; back_repeat=&#8221;no-repeat&#8221; back_position=&#8221;center bottom&#8221; overlay_alpha=&#8221;0&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; row_height_pixel=&#8221;200&#8243; el_class=&#8221;single-service-header white-subheading snd-services-bg&#8221; css=&#8221;.vc_custom_1705941924063{margin-top: -90px !important;padding-top: 100px !important;}&#8221; uncode_shortcode_id=&#8221;126182&#8243; back_color_type=&#8221;uncode-palette&#8221;][vc_column column_width_use_pixel=&#8221;yes&#8221; position_horizontal=&#8221;right&#8221; position_vertical=&#8221;middle&#8221; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;0&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; column_width_pixel=&#8221;600&#8243; uncode_shortcode_id=&#8221;109194&#8243; el_class=&#8221;heading-wrapper-first only-bg&#8221;][uncode_breadcrumbs text_lead=&#8221;small&#8221; el_class=&#8221;breadcrumbs-wrapper&#8221;][\/vc_column][vc_column column_width_percent=&#8221;100&#8243; position_horizontal=&#8221;right&#8221; align_horizontal=&#8221;align_right&#8221; gutter_size=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_visibility=&#8221;yes&#8221; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; el_class=&#8221;city-bg&#8221; css=&#8221;.vc_custom_1670247145573{padding-right: 50px !important;}&#8221;][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;0&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; css=&#8221;.vc_custom_1705595074085{border-right-width: 0px !important;border-left-width: 0px !important;padding-top: 20px !important;padding-bottom: 10px !important;}&#8221; uncode_shortcode_id=&#8221;465592&#8243; el_class=&#8221;snd-page-heading&#8221;][vc_column column_width_percent=&#8221;100&#8243; position_horizontal=&#8221;left&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; css=&#8221;.vc_custom_1705580763936{border-right-width: 0px !important;border-left-width: 0px !important;}&#8221; uncode_shortcode_id=&#8221;306809&#8243;][vc_custom_heading auto_text=&#8221;yes&#8221; text_color=&#8221;color-xsdn&#8221; heading_semantic=&#8221;h1&#8243; text_size=&#8221;h1&#8243; el_class=&#8221;page-heading blue-heading no-top&#8221; uncode_shortcode_id=&#8221;217187&#8243; text_color_type=&#8221;uncode-palette&#8221;][\/vc_custom_heading][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;2&#8243; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; el_class=&#8221;services-inner-section our-service light-gradient-bg&#8221; row_name=&#8221;nuestro-servicio&#8221; uncode_shortcode_id=&#8221;121597&#8243; css=&#8221;.vc_custom_1728921922973{padding-bottom: 35px !important;}&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;800634&#8243; el_class=&#8221;no-lateral-padding&#8221;][vc_custom_heading sub_reduced=&#8221;yes&#8221; el_class=&#8221;header-service-item&#8221; uncode_shortcode_id=&#8221;124600&#8243;]<i class=\"fas fa-user-edit\"><\/i> What is Big Data Real Estate and how does it work?[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h3&#8243; text_size=&#8221;h4&#8243; sub_reduced=&#8221;yes&#8221; el_class=&#8221;subheader-service-item bordered-heading&#8221; uncode_shortcode_id=&#8221;166635&#8243;]Rich Data Access and Advanced Indicators. The Backbone of Real Estate Analytics.[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;182899&#8243; el_class=&#8221;service-item-description&#8221;]Real Estate Big Data refers to the <strong>collection and analysis of large volumes of data related to the real estate market<\/strong>. This data comes from various sources such as organizational data, public records, real estate portals, cadastral information, demographic data, environmental information, social networks, and much more. Once collected, this data undergoes advanced analysis using <strong>statistical techniques, machine learning algorithms, and trend analysis to extract valuable insights.<\/strong>[\/vc_column_text][vc_column_text uncode_shortcode_id=&#8221;214050&#8243; el_class=&#8221;service-item-description&#8221;]Real Estate Big Data is an <strong>essential tool for a constantly evolving sector<\/strong>. Data is the engine that drives informed decision-making in a highly competitive market. For tech companies in the real estate sector in Spain, <strong>Big Data is an opportunity to provide a more complete and efficient service to clients<\/strong> as well as to gain a competitive edge. In summary, real estate Big Data is not just a trend but a necessity for success in an ever-changing sector. <strong>Information is power, and in the Spanish real estate market, Big Data is the key to unlocking that power.<\/strong>[\/vc_column_text][vc_button border_width=&#8221;0&#8243; scale_mobile=&#8221;no&#8221; el_class=&#8221;more-button&#8221; link=&#8221;url:%23contacto|title:I%20need%20advice|&#8221; uncode_shortcode_id=&#8221;730596&#8243;]I need advice[\/vc_button][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;2&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; el_class=&#8221;who-needs&#8221; row_name=&#8221;quien-necesita&#8221; uncode_shortcode_id=&#8221;182459&#8243; back_color_type=&#8221;uncode-palette&#8221; css=&#8221;.vc_custom_1728922624783{padding-top: 35px !important;padding-bottom: 30px !important;}&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;209110&#8243; el_class=&#8221;no-lateral-padding&#8221;][vc_custom_heading sub_reduced=&#8221;yes&#8221; el_class=&#8221;header-service-item&#8221; uncode_shortcode_id=&#8221;714415&#8243;]<i class=\"fas fa-star\"><\/i> Benefits of Big Data in the Real Estate Sector[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h3&#8243; text_size=&#8221;h4&#8243; sub_reduced=&#8221;yes&#8221; el_class=&#8221;subheader-service-item bordered-heading&#8221; uncode_shortcode_id=&#8221;109781&#8243;]Accuracy, Predictability and Limitless Opportunities[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;166665&#8243;]<\/p>\n<ul>\n<li><strong>Precise Pricing:<\/strong> One of the main benefits of Big Data in the real estate sector is its ability to <a href=\"https:\/\/www.gloval.es\/blog\/conocer-valor-inmueble\/\">provide more accurate pricing<\/a>. By analyzing comparable sales data, local market trends, previous appraisals, and other factors, real estate professionals can determine fair and competitive prices for properties.<\/li>\n<li><strong>Market Trend Analysis:<\/strong> Large-scale data analysis allows real estate market players to identify emerging trends in real-time. This can include changes in demand by location, buyer preferences, and the impact of economic and political events on the local market.<\/li>\n<li><strong>Investment Optimization:<\/strong> Investors can use data to identify opportunities in high-demand and growth-potential areas. This includes identifying up-and-coming neighborhoods, infrastructure projects, and future demand forecasts.<\/li>\n<li><strong>Enhanced Customer Experience:<\/strong> Real estate companies can use data to personalize the customer experience, including providing buyers with recommendations based on their specific preferences and needs.<\/li>\n<li><strong>Risk Reduction:<\/strong> Data analysis can also help mitigate risks by assessing market stability, likelihood of property value appreciation, and potential threats.<\/li>\n<\/ul>\n<p>Gloval Analytics stands out as a pioneering entity in <a href=\"https:\/\/www.gloval.es\/en\/services\/analytics\/\" data-wpel-link=\"internal\">real estate analytical solutions<\/a> that has effectively integrated Big Data capabilities into its services, <strong>providing clients with advanced tools<\/strong> for risk assessment, precise property valuation, and investment opportunity identification. This data-centered approach not only enhances decision-making but also drives innovation in a sector traditionally rooted in conventional practices.[\/vc_column_text][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;2&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; el_class=&#8221;who-needs light-bg&#8221; row_name=&#8221;como-hacemos&#8221; uncode_shortcode_id=&#8221;111659&#8243; back_color_type=&#8221;uncode-palette&#8221; css=&#8221;.vc_custom_1728924569682{padding-top: 35px !important;padding-bottom: 50px !important;}&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;119937&#8243; el_class=&#8221;three-steps-wrapper&#8221;][vc_custom_heading sub_reduced=&#8221;yes&#8221; el_class=&#8221;header-service-item&#8221; uncode_shortcode_id=&#8221;173787&#8243;]<i class=\"fas fa-trophy\"><\/i> Gloval Analytics case studies[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h3&#8243; text_size=&#8221;h4&#8243; sub_reduced=&#8221;yes&#8221; el_class=&#8221;subheader-service-item bordered-heading&#8221; uncode_shortcode_id=&#8221;261912&#8243;]Real estate analysis that adds value[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;381325&#8243;]We have created <a href=\"\/en\/services\/automated-valuation-model-avm\/\">automated valuation models<\/a> for properties, various price prediction models, and over 50 industry indicators, enabling our clients to <strong>make well-informed decisions.<\/strong>[\/vc_column_text][vc_single_image media=&#8221;6763&#8243; media_width_percent=&#8221;100&#8243; uncode_shortcode_id=&#8221;162413&#8243;][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;2&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; el_class=&#8221;our-service who-needs&#8221; row_name=&#8221;nuestro-servicio&#8221; uncode_shortcode_id=&#8221;174416&#8243; back_color_type=&#8221;uncode-palette&#8221; css=&#8221;.vc_custom_1729182485998{padding-top: 35px !important;padding-bottom: 0px !important;}&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;212965&#8243;][vc_custom_heading sub_reduced=&#8221;yes&#8221; el_class=&#8221;header-service-item&#8221; uncode_shortcode_id=&#8221;546109&#8243;]<i class=\"fas fa-database\"><\/i> What data do we analyse through Big Data Real Estate?[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h3&#8243; text_size=&#8221;h4&#8243; sub_reduced=&#8221;yes&#8221; el_class=&#8221;subheader-service-item bordered-heading&#8221; uncode_shortcode_id=&#8221;209175&#8243;]Data Diversity with the broadest geographic coverage[\/vc_custom_heading][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;965020&#8243; el_class=&#8221;light-boxes-wrapper&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;129272&#8243; el_class=&#8221;light-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41634&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;203508&#8243; title=&#8221;Real estate typologies&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;716032&#8243; el_class=&#8221;icon-description&#8221;]Residential housing, offices, commercial premises, hotels, industrial buildings, residential and commercial buildings, among others.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;783694&#8243; el_class=&#8221;light-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41628&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;124282&#8243; title=&#8221;Geographic coverage&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;292014&#8243; el_class=&#8221;icon-description&#8221;]We cover data from census tract to national level, including district, municipality, postal code and province.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text uncode_shortcode_id=&#8221;322468&#8243; el_class=&#8221;strong-text&#8221;]Examples of Available Data:[\/vc_column_text][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;184754&#8243; el_class=&#8221;white-boxes-wrapper&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;939316&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41626&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;708656&#8243; title=&#8221;Cadastre&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;188710&#8243; el_class=&#8221;icon-description&#8221;]Enriched Cadastre data (parcel, property and element level), including data from specific regions such as the Basque Country and Navarra.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;565046&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41632&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;769188&#8243; title=&#8221;Sociodemographic and Economic Data&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;637750&#8243; el_class=&#8221;icon-description&#8221;]Aggregate data from census section on population, income, unemployment, level of education, etc.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;814837&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41630&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;100543&#8243; title=&#8221;Real Estate Figures&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;134264&#8243; el_class=&#8221;icon-description&#8221;]Sales and rental value of homes, offices, commercial premises, hotels, industrial buildings, residential and commercial buildings.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;126244&#8243; el_class=&#8221;white-boxes-wrapper&#8221; css=&#8221;.vc_custom_1729181942564{margin-bottom: 75px !important;}&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;939316&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41642&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;176365&#8243; title=&#8221;Energy Certificates&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;214983&#8243; el_class=&#8221;icon-description&#8221;]Energy certificates for properties in Spain, Portugal and the United Kingdom.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;565046&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41660&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;508104&#8243; title=&#8221;Physical and Environmental Risks&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;108800&#8243; el_class=&#8221;icon-description&#8221;]Physical and environmental risks in different locations, with an analysis at the macroeconomic level.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;814837&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41654&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;767257&#8243; title=&#8221;Tourism and Macroeconomic Indicators&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;147001&#8243; el_class=&#8221;icon-description&#8221;]Tourism and macroeconomic indicators at the national level, by zone and tourist attractions, among others.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;h3&#8243; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;575572&#8243; text_color_type=&#8221;uncode-palette&#8221; el_class=&#8221;blue-heading-small&#8221;]Analysis Indicators[\/vc_custom_heading][vc_button border_width=&#8221;0&#8243; scale_mobile=&#8221;no&#8221; el_class=&#8221;more-button desktop-hidden tablet-hidden&#8221; link=&#8221;url:%23mas|rel:nofollow|&#8221; onclick=&#8221;var x = document.getElementById(&#8216;indicadores&#8217;); x.classList.toggle(&#8216;visible&#8217;);&#8221; uncode_shortcode_id=&#8221;172833&#8243;][\/vc_button][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;0&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;508671&#8243; el_class=&#8221;indicator-data-wrapper&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;177406&#8243; el_class=&#8221;blue-bg&#8221;][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;p&#8221; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;199014&#8243; text_color_type=&#8221;uncode-palette&#8221;]Real Estate Bubble Index[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;170129&#8243; css=&#8221;.vc_custom_1718368172285{margin-top: 10px !important;}&#8221;]Calculated by Analytics. It evaluates the stability of the real estate market, considering multiple variables such as sales prices, historical appraisals, demand and supply, among other key factors. It also measures the sensitivity of the access to the sale and purchase market to economic changes, at the macro and sector level, determining the vulnerability of the access to the sale and purchase market.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;543775&#8243; css=&#8221;.vc_custom_1718294329365{padding-top: 20px !important;padding-right: 0px !important;padding-bottom: 20px !important;padding-left: 0px !important;}&#8221;][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;p&#8221; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;102406&#8243; text_color_type=&#8221;uncode-palette&#8221; el_class=&#8221;heading-period&#8221;]Q1 2024 vs. Q4 2023[\/vc_custom_heading][vc_single_image media=&#8221;41775&#8243; media_width_percent=&#8221;100&#8243; alignment=&#8221;center&#8221; uncode_shortcode_id=&#8221;787245&#8243;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;0&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; inverted_device_order=&#8221;yes&#8221; uncode_shortcode_id=&#8221;150275&#8243; el_class=&#8221;indicator-data-wrapper&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;110892&#8243; css=&#8221;.vc_custom_1718294346109{padding-top: 20px !important;padding-bottom: 20px !important;}&#8221;][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;p&#8221; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;102406&#8243; text_color_type=&#8221;uncode-palette&#8221; el_class=&#8221;heading-period&#8221;]Q1 2024 vs. Q4 2023[\/vc_custom_heading][vc_single_image media=&#8221;41773&#8243; media_width_percent=&#8221;100&#8243; alignment=&#8221;center&#8221; uncode_shortcode_id=&#8221;180068&#8243;][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; position_horizontal=&#8221;left&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;371442&#8243; css=&#8221;.vc_custom_1718294451772{padding-top: 0px !important;padding-left: 0px !important;}&#8221; el_class=&#8221;blue-bg right&#8221;][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;p&#8221; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;137434&#8243; text_color_type=&#8221;uncode-palette&#8221;]Rental Market Stress Index[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;540460&#8243; css=&#8221;.vc_custom_1718368186021{margin-top: 10px !important;}&#8221;]Calculated by Analytics. It evaluates the sensitivity of the effort to access the rental market to economic changes, at the macro and sectoral levels. This indicator determines the economic stability and households&#8217; ability to access the rental market, considering the impact of external changes on the household economy.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;0&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;177957&#8243; el_class=&#8221;indicator-data-wrapper&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;177406&#8243; el_class=&#8221;blue-bg&#8221;][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;p&#8221; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;143274&#8243; text_color_type=&#8221;uncode-palette&#8221;]Energy Efficiency and Physical and Environmental Risk Indicators[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;203112&#8243; css=&#8221;.vc_custom_1718368216378{margin-top: 10px !important;}&#8221;]Using geospatial data and energy efficiency analysis along with physical and environmental risks, we develop indicators that highlight the opportunities and risks associated with different geographic locations. This is crucial for investors, developers and developers seeking to maximize the return on their investments while managing potential risks.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; align_horizontal=&#8221;align_center&#8221; gutter_size=&#8221;3&#8243; override_padding=&#8221;yes&#8221; column_padding=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;153850&#8243; css=&#8221;.vc_custom_1718294291147{padding-top: 20px !important;padding-bottom: 20px !important;padding-left: 0px !important;}&#8221;][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;p&#8221; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;172677&#8243; text_color_type=&#8221;uncode-palette&#8221; el_class=&#8221;heading-period&#8221;]S1 2024 vs S1 2023[\/vc_custom_heading][vc_single_image media=&#8221;41929&#8243; media_width_percent=&#8221;100&#8243; alignment=&#8221;center&#8221; uncode_shortcode_id=&#8221;185182&#8243; el_class=&#8221;one-half&#8221;][vc_single_image media=&#8221;41927&#8243; media_width_percent=&#8221;100&#8243; alignment=&#8221;center&#8221; uncode_shortcode_id=&#8221;111098&#8243; el_class=&#8221;one-half&#8221;][\/vc_column_inner][\/vc_row_inner][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;212335&#8243; el_class=&#8221;indicator-data-wrapper separated&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; position_horizontal=&#8221;left&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;592465&#8243; el_class=&#8221;blue-bg&#8221;][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;p&#8221; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;109687&#8243; text_color_type=&#8221;uncode-palette&#8221;]Profitability Indicators[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;173779&#8243; css=&#8221;.vc_custom_1718370895412{margin-top: 10px !important;}&#8221;]We develop profitability indicators for different real estate typologies such as residential housing or commercial premises. These consider acquisition costs, maintenance, occupancy rates, average rents and market trends to calculate real profitability. This helps investors make informed decisions about their investments.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; position_horizontal=&#8221;left&#8221; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/2&#8243; uncode_shortcode_id=&#8221;591243&#8243; el_class=&#8221;blue-bg&#8221;][vc_custom_heading text_color=&#8221;color-124241&#8243; heading_semantic=&#8221;p&#8221; text_size=&#8221;h4&#8243; uncode_shortcode_id=&#8221;294087&#8243; text_color_type=&#8221;uncode-palette&#8221;]Price and Demand Trend Indices[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;765517&#8243; css=&#8221;.vc_custom_1718117846325{margin-top: 10px !important;}&#8221;]We closely monitor price and demand trends in different segments of the real estate market. Our indices provide insights on how prices, property demand and buyer and tenant preferences are evolving. This allows our clients to anticipate changes in the market and proactively adjust their strategies.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;2&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; el_class=&#8221;who-needs&#8221; row_name=&#8221;quien-necesita&#8221; uncode_shortcode_id=&#8221;182459&#8243; back_color_type=&#8221;uncode-palette&#8221; css=&#8221;.vc_custom_1728922624783{padding-top: 35px !important;padding-bottom: 30px !important;}&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/1&#8243; uncode_shortcode_id=&#8221;209110&#8243; el_class=&#8221;no-lateral-padding&#8221;][vc_custom_heading sub_reduced=&#8221;yes&#8221; el_class=&#8221;header-service-item&#8221; uncode_shortcode_id=&#8221;104282&#8243;]<i class=\"fas fa-users\"><\/i>Who needs Big Data Real Estate?[\/vc_custom_heading][vc_custom_heading heading_semantic=&#8221;h3&#8243; text_size=&#8221;h4&#8243; sub_reduced=&#8221;yes&#8221; el_class=&#8221;subheader-service-item bordered-heading&#8221; uncode_shortcode_id=&#8221;446366&#8243;]Our customers&#8217; needs[\/vc_custom_heading][vc_column_text uncode_shortcode_id=&#8221;167614&#8243; el_id=&#8221;indicadores&#8221; el_class=&#8221;expandable-content&#8221;]Our broad portfolio of clients includes investment funds, banks, real estate developers, real estate platforms, government agencies and any entity that requires industry data to implement strategies and achieve their objectives.[\/vc_column_text][vc_row_inner row_inner_height_percent=&#8221;0&#8243; overlay_alpha=&#8221;50&#8243; equal_height=&#8221;yes&#8221; gutter_size=&#8221;3&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; uncode_shortcode_id=&#8221;786907&#8243; el_class=&#8221;white-boxes-wrapper&#8221; css=&#8221;.vc_custom_1729182839489{padding-bottom: 20px !important;}&#8221;][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;939316&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41636&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;183171&#8243; title=&#8221;Access to Reliable Data&#8221; el_class=&#8221;blue-title&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;188383&#8243; el_class=&#8221;icon-description&#8221;]Clients face difficulties in accessing reliable, up-to-date and relevant real estate market data, making it difficult to make strategic and accurate decisions.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;565046&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41640&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;136353&#8243; title=&#8221;In-Depth Analysis&#8221; el_class=&#8221;blue-title&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;158449&#8243; el_class=&#8221;icon-description&#8221;]The lack of tools and resources to perform in-depth analysis of the real estate market limits the ability to identify opportunities, assess risks and optimize operations.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; medium_width=&#8221;0&#8243; mobile_width=&#8221;0&#8243; width=&#8221;1\/3&#8243; uncode_shortcode_id=&#8221;814837&#8243; el_class=&#8221;white-box-item&#8221;][vc_icon position=&#8221;left&#8221; icon_image=&#8221;41662&#8243; media_size=&#8221;22&#8243; heading_semantic=&#8221;p&#8221; uncode_shortcode_id=&#8221;494910&#8243; title=&#8221;Transparency and Efficiency&#8221; el_class=&#8221;blue-title&#8221;][\/vc_icon][vc_column_text uncode_shortcode_id=&#8221;203724&#8243; el_class=&#8221;icon-description&#8221;]The need for transparent and efficient processes in data management and real estate operations that generate trust and optimize results.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;2&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; gutter_size=&#8221;3&#8243; column_width_percent=&#8221;100&#8243; shift_y=&#8221;0&#8243; z_index=&#8221;0&#8243; el_class=&#8221;who-needs light-bg&#8221; row_name=&#8221;como-hacemos&#8221; uncode_shortcode_id=&#8221;111659&#8243; back_color_type=&#8221;uncode-palette&#8221; css=&#8221;.vc_custom_1728924569682{padding-top: 35px !important;padding-bottom: 50px !important;}&#8221;][vc_column column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; 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el_class=&#8221;left-aligned&#8221; uncode_shortcode_id=&#8221;376489&#8243;]<i class=\"fa fa-caret-right\"><\/i> Indicators are tested and shared with the selected interface: api, widget, files, etc.[\/vc_column_text][\/vc_column_inner][vc_column_inner column_width_percent=&#8221;100&#8243; gutter_size=&#8221;3&#8243; overlay_alpha=&#8221;50&#8243; shift_x=&#8221;0&#8243; shift_y=&#8221;0&#8243; shift_y_down=&#8221;0&#8243; z_index=&#8221;0&#8243; desktop_visibility=&#8221;yes&#8221; medium_visibility=&#8221;yes&#8221; medium_width=&#8221;0&#8243; mobile_visibility=&#8221;yes&#8221; mobile_width=&#8221;0&#8243; width=&#8221;1\/12&#8243; uncode_shortcode_id=&#8221;140539&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;3&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;0&#8243; back_color=&#8221;color-xsdn&#8221; overlay_alpha=&#8221;50&#8243; 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blue-heading&#8221;]<i class=\"fas fa-comments\"><\/i> Frequently Asked Questions[\/vc_custom_heading][vc_accordion el_class=&#8221;faq-accordion&#8221;][vc_accordion_tab tab_id=&#8221;1569307747-1-591569314403769ec1a-aa321628283380969&#8243; slug=&#8221;faq-1&#8243; title=&#8221;What is the price per property?&#8221;][vc_column_text]This depends on the type and amount of properties to be appraised.[\/vc_column_text][\/vc_accordion_tab][vc_accordion_tab tab_id=&#8221;1569307747-1-591569314403769ec1a-aa321628283380969&#8243; slug=&#8221;faq-2&#8243; title=&#8221;How long does it take?&#8221;][vc_column_text]For single deliveries, you will get the appraisal on the same day, and through the platform, you will get the appraisal in about 2 seconds.[\/vc_column_text][\/vc_accordion_tab][\/vc_accordion][\/vc_column][\/vc_row][vc_row row_height_percent=&#8221;0&#8243; override_padding=&#8221;yes&#8221; h_padding=&#8221;2&#8243; top_padding=&#8221;2&#8243; bottom_padding=&#8221;0&#8243; 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