[et_pb_section fb_built=”1″ use_custom_gutter=”on” gutter_width=”2″ specialty=”on” padding_right_1=”0px” padding_right_2=”0px” padding_left_1=”0px” padding_left_2=”0px” padding_top_bottom_link_1=”false” padding_top_bottom_link_2=”false” padding_left_right_link_1=”false” padding_left_right_link_2=”false” _builder_version=”4.27.6″ _module_preset=”default” inner_width=”90%” custom_margin=”|0px|||false|false” custom_padding=”7rem|0px|5rem||false|false” top_divider_style=”curve” top_divider_color=”rgba(93,103,120,0.03)” bottom_divider_style=”curve” bottom_divider_color=”RGBA(93,103,120,0.03)” bottom_divider_flip=”vertical” global_colors_info=”{}” background_color=”rgba(16,18,70,0.6)” background_image=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/05\/Back_MTP.png” background_blend=”multiply” custom_padding_tablet=”7vw|0px|2vw||false|false” custom_padding_phone=”8rem||4rem||false|false” custom_padding_last_edited=”on|phone”][et_pb_column type=”1_2″ specialty_columns=”2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_row_inner _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column_inner saved_specialty_column_type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ text_letter_spacing=”1px” header_2_text_align=”left” header_2_font_size=”23px” custom_margin=”||5px||false|false” locked=”off” global_colors_info=”{}” header_2_text_color=”#F65F34″ custom_padding=”||||false|false”]<\/p>\n
For <\/span>areas<\/span> WHERE DATA IS CRITICAL<\/span><\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”11430142-e6f3-4f59-bcd8-f807f81add41″ text_font=”Inter|700|||||||” text_text_color=”#000000″ text_font_size=”46px” text_line_height=”1.1em” header_text_color=”#FFFFFF” header_font_size=”45px” custom_margin=”||0px||false|false” global_colors_info=”{}” header_font=”Inter|600|||||||”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”74c41b82-94fc-4692-a37d-e97a9a4e2a66″ text_text_color=”#FFFFFF” text_font_size=”17px” text_orientation=”justified” custom_margin=”20px||20px||true|false” global_colors_info=”{}”]<\/p>\n We validate your data integrity with Quality Engineering, ensuring every decision, report, and model operates on reliable information.<\/p>\n [\/et_pb_text][\/et_pb_column_inner][\/et_pb_row_inner][et_pb_row_inner column_structure=”1_2,1_2″ use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.27.6″ 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global_colors_info=”{%22gcid-1229dcee-ea6a-4c3d-bd03-a8875c587516%22:%91%22button_text_color%22,%22button_text_color%22,%22button_text_color%22,%22button_text_color%22%93,%22gcid-primary-color%22:%91%22button_text_color%22,%22button_text_color%22%93}”][\/et_pb_button][\/et_pb_column_inner][et_pb_column_inner type=”1_2″ saved_specialty_column_type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/06\/03-MTP-Descargable-Data-Testing-1.pdf?utm_source=website&utm_medium=banner&utm_campaign=data-testing” button_text=”Download the Data Checklist” _builder_version=”4.27.7″ _module_preset=”default” custom_button=”on” button_text_size=”14px” button_text_color=”#FFFFFF” button_bg_color=”RGBA(255,255,255,0)” button_border_width=”2px” button_border_radius=”100px” button_font=”Inter||||||||” background_layout=”dark” custom_padding=”15px|20px|15px|20px|true|true” locked=”off” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column_inner][\/et_pb_row_inner][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/05\/magnific__photo-a-group-of-6-people-average-age-25-working-i__95867-scaled.png” title_text=”magnific__photo-a-group-of-6-people-average-age-25-working-i__95867″ align=”center” admin_label=”Image” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”|-6vw|||false|false” custom_padding=”||||false|false” border_radii=”on|15px|15px|15px|15px” locked=”off” global_colors_info=”{}” disabled_on=”on|off|off”][\/et_pb_image][\/et_pb_column][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”Inter|700|||||||” text_text_color=”#333333″ text_font_size=”36px” text_line_height=”1.1em” text_orientation=”center” custom_margin=”||0px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n Trusted by organizations where a single error is an operational, regulatory, or reputational problem.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” locked=”off” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][dsm_image_carousel gallery_ids=”9763,9764,9765,9766,9767,9768,9769,10070,9771,9772,9773,9774,9775,9776,9777,9778,9779,9780,9781,9782,9783,9784,9785,9786,9787,9788,9789,9790,9791,9792,9793″ lazyload=”on” centered_slides=”on” slide_to_show=”6″ slide_to_scroll=”3″ speed=”1400″ autoplay_speed=”1110″ pause_on_hover=”on” space_between=”50″ arrows=”off” _builder_version=”4.27.6″ _module_preset=”default” custom_padding=”30px||20px||false|false” locked=”off” global_colors_info=”{}”][\/dsm_image_carousel][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Call to Action” _builder_version=”4.27.6″ _module_preset=”default” background_image=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/05\/QA-Testing-MTP1-1.png” background_size=”custom” background_image_width=”20%” background_position=”bottom_left” custom_padding=”70px||70px||true|false” locked=”off” collapsed=”on” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ make_equal=”on” _builder_version=”4.27.6″ _module_preset=”default” custom_css_main_element=”align-items:center” locked=”off” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.18.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/06\/MTP_dashboard_data_testing.webp” title_text=”MTP_dashboard_data_testing” align=”center” _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”|||-6vw|false|false” border_radii=”on|15px|15px|15px|15px” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.19.2″ _module_preset=”default” custom_padding_tablet=”0vw||||false|false” custom_padding_phone=”0vw||||false|false” custom_padding_last_edited=”off|desktop” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ header_2_text_align=”left” header_2_font_size=”31px” custom_margin=”||0px||false|false” locked=”off” global_colors_info=”{}” header_2_text_color__hover_enabled=”off|desktop”]<\/p>\n When data quality is not designed, the business pays the price<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”|700|||||||” text_text_color=”#333333″ text_font_size=”34px” text_line_height=”1em” header_2_text_align=”left” header_2_font_size=”27px” custom_margin=”||||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_font_size=”15px” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” text_orientation=”justified” locked=”off” global_colors_info=”{}”]<\/p>\n Reports that the CFO does not recognize the day after the new system launch.<\/p>\n [\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_font_size=”15px” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” text_orientation=”justified” locked=”off” global_colors_info=”{}”]<\/p>\n Manual reconciliations at every month-end because no one validated the consolidation of sources beforehand.<\/p>\n [\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_font_size=”15px” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” text_orientation=”justified” locked=”off” global_colors_info=”{}”]<\/p>\n Data teams trapped cleaning information by hand instead of generating analytical value.<\/p>\n [\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_font_size=”15px” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” text_orientation=”justified” locked=”off” global_colors_info=”{}”]<\/p>\n Fines and observations when data fails to withstand a regulatory or external audit.<\/p>\n [\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_font_size=”15px” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” text_orientation=”justified” locked=”off” global_colors_info=”{}”]<\/p>\n AI models that amplify duplicates and broken references instead of filtering them.<\/p>\n [\/et_pb_blurb][et_pb_blurb use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”20px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Poppins||||||||” header_font_size=”18px” body_font=”Poppins||||||||” body_font_size=”15px” body_line_height=”1.2em” image_icon_custom_margin=”0px|0px|0px|0px|true|true” image_icon_custom_padding=”0px|0px|0px|0px|true|true” text_orientation=”justified” locked=”off” global_colors_info=”{}”]<\/p>\n Lagging behind organizations that already validate data with AI under governance and scale models in production.<\/p>\n [\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Features” _builder_version=”4.27.6″ _module_preset=”default” background_enable_color=”off” locked=”off” collapsed=”on” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ text_letter_spacing=”2px” header_2_text_align=”left” header_2_font_size=”32px” custom_margin=”||0px||false|false” global_colors_info=”{}”]<\/p>\n Three Scenarios, One Business Risk<\/span><\/span> <\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”|700|||||||” text_text_color=”#333333″ text_font_size=”36px” text_line_height=”1.1em” header_2_text_align=”left” header_2_font_size=”28px” text_orientation=”center” custom_margin=”||||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”74c41b82-94fc-4692-a37d-e97a9a4e2a66″ text_line_height=”1.4em” text_orientation=”justified” locked=”off” global_colors_info=”{}”]<\/p>\n In the organizations we advise, we see three scenarios. All three end the same way: when data integrity is not designed from the start, the cost is absorbed by the regulatory report, the management decision, or the AI model in production. <\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Without data validation ” use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”700b6b37-500f-474d-a5de-3ecd2aaf1900″ header_level=”h3″ header_text_color=”#000000″ header_letter_spacing=”0em” header_line_height=”1em” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” text_orientation=”justified” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#F65F34″ locked=”off” global_colors_info=”{}”]<\/p>\n Data moves, transforms, and loads without anyone verifying that business rules remain valid at the destination. The first executive report from the new system shows figures no one recognizes, and the month-end close is delayed by a week. <\/p>\n [\/et_pb_blurb][et_pb_blurb title=”Late and manual validation ” use_icon=”on” font_icon=”||divi||400″ icon_color=”#F65F34″ image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”700b6b37-500f-474d-a5de-3ecd2aaf1900″ header_level=”h3″ header_text_color=”#000000″ header_letter_spacing=”0em” header_line_height=”1em” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” text_orientation=”justified” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#F65F34″ locked=”off” global_colors_info=”{}”]<\/p>\n There is a team and willingness, but controls are executed late: Excel sampling, ad-hoc validations by source owners. The error appears only after it has impacted a customer, a regulatory report, or a management decision. <\/p>\n [\/et_pb_blurb][et_pb_blurb title=”Critical pipelines without governance ” use_icon=”on” font_icon=”||divi||400″ icon_color=”#F65F34″ image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”700b6b37-500f-474d-a5de-3ecd2aaf1900″ header_level=”h3″ header_text_color=”#000000″ header_letter_spacing=”0em” header_line_height=”1em” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” text_orientation=”justified” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#F65F34″ locked=”off” global_colors_info=”{}”]<\/p>\n The organization has already migrated, has a Data Lake, and is training models. But without formal source owners or automatic controls in pipelines, AI amplifies silent errors instead of detecting them. <\/p>\n [\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row use_custom_gutter=”on” gutter_width=”2″ _builder_version=”4.27.6″ _module_preset=”default” width=”90%” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.2″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”74c41b82-94fc-4692-a37d-e97a9a4e2a66″ text_line_height=”1.4em” text_orientation=”justified” global_colors_info=”{}”]<\/p>\n Whatever your scenario, the root cause is the same: data quality is not designed with the strategy, architecture, and method the business needs. That is what we design. <\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ use_custom_gutter=”on” gutter_width=”2″ padding_right_1=”0px” padding_right_2=”0px” padding_left_1=”0px” padding_left_2=”0px” padding_top_bottom_link_1=”false” padding_top_bottom_link_2=”false” padding_left_right_link_1=”false” padding_left_right_link_2=”false” _builder_version=”4.27.6″ _module_preset=”default” background_color=”#f5f7fa” background_enable_image=”off” background_size=”initial” custom_margin=”|0px|||false|false” custom_padding=”7vw|0px|2vw||false|false” top_divider_style=”curve” top_divider_color=”rgba(93,103,120,0.03)” bottom_divider_style=”curve” bottom_divider_color=”RGBA(93,103,120,0.03)” bottom_divider_flip=”vertical” global_colors_info=”{%22gcid-63d0f9aa-7ee4-4160-be51-db361b869922%22:%91%22background_color%22%93}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_slider show_arrows=”off” _builder_version=”4.27.6″ _module_preset=”default” body_font=”Poppins|600|||||||” custom_margin=”0px|0px|0px|0px|true|true” custom_padding=”0px|0px|40px|0px|false|true” auto=”on” auto_speed=”4000″ global_colors_info=”{}”][et_pb_slide _builder_version=”4.27.6″ _module_preset=”default” body_font=”Poppins||||||||” body_font_size=”30px” body_line_height=”35px” background_enable_color=”off” background_layout=”light” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n Between 15% and 25% <\/span>of potential revenue is lost each year due to decisions made on incorrect data.<\/p>\n MIT Sloan Management Review, 2024<\/p>\n [\/et_pb_slide][et_pb_slide _builder_version=”4.27.6″ _module_preset=”default” body_font=”Poppins||||||||” body_font_size=”30px” body_line_height=”35px” background_enable_color=”off” background_layout=”light” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n Between 40% and 60% <\/span>of data teams’ time is spent cleaning and validating information, not generating analytical value.<\/p>\n Anaconda State of Data Science, 2024<\/p>\n [\/et_pb_slide][et_pb_slide _builder_version=”4.27.6″ _module_preset=”default” body_font=”Poppins||||||||” body_font_size=”30px” body_line_height=”35px” background_enable_color=”off” background_layout=”light” global_colors_info=”{}” sticky_transition=”on”]<\/p>\n Data quality is the main obstacle identified by data leaders for scaling AI in production. <\/span> If your data is not reliable, AI amplifies errors instead of generating a competitive advantage.<\/p>\n Gartner, 2025<\/p>\n [\/et_pb_slide][\/et_pb_slider][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” background_image=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/05\/QA-Testing-MTP3-1.png” background_size=”custom” background_image_width=”25%” background_position=”bottom_left” locked=”off” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ text_letter_spacing=”6px” header_2_text_align=”left” header_2_font_size=”32px” text_orientation=”center” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}” header_2_text_color__hover_enabled=”off|desktop”]<\/p>\n Why MTP for Data Testing?<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”|700|||||||” text_text_color=”#333333″ text_font_size=”36px” text_line_height=”1.1em” header_2_text_align=”justify” header_2_font_size=”27px” text_orientation=”justified” custom_margin=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][dsm_flipbox flipbox_type=”fade” flipbox_speed=”0s” flipbox_height=”350px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_font_size=”22px” content_text_align=”justify” custom_margin=”||||false|false” custom_padding=”||||false|false” global_colors_info=”{}”][dsm_flipbox_child title=”Data Traceability” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|600|||||||” header_text_color=”#F65F34″ header_font_size=”24px” content_font=”Poppins||||||||” content_line_height=”1.2em” background_color=”#FFFFFF” background_enable_color=”on” custom_button=”on” button_text_size=”14px” button_border_width=”1px” button_border_radius=”50px” button_font=”Inter||||||||” custom_padding=”15px|15px|15px|15px|true|true” border_radii=”on|12px|12px|12px|12px” box_shadow_style=”preset1″ box_shadow_blur=”15px” box_shadow_color=”rgba(0,0,0,0.21)” global_colors_info=”{}” parent_header_level=”h3″]We apply Omniatest\u00ae, our Quality Engineering methodology, to the data cycle: audited rules in every transformation and field-by-field comparison between source and destination. [\/dsm_flipbox_child][dsm_flipbox_child title=”Data Traceability” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|600|||||||” header_text_color=”#FFFFFF” header_font_size=”24px” content_font=”Poppins||||||||” content_line_height=”1.2em” background_color=”#08213C” background_enable_color=”on” custom_button=”on” button_text_size=”14px” button_border_width=”1px” button_border_radius=”50px” button_font=”Inter||||||||” background_layout=”dark” custom_padding=”15px|15px|15px|15px|true|true” border_radii=”on|12px|12px|12px|12px” box_shadow_style=”preset1″ box_shadow_blur=”15px” box_shadow_color=”rgba(0,0,0,0.21)” global_colors_info=”{}” parent_header_level=”h3″]<\/p>\n We apply Omniatest\u00ae, our Quality Engineering methodology, to the data cycle: audited rules in every transformation and field-by-field comparison between source and destination.<\/p>\n [\/dsm_flipbox_child][\/dsm_flipbox][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][dsm_flipbox flipbox_type=”fade” flipbox_speed=”0s” flipbox_height=”350px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_font_size=”22px” content_text_align=”justify” custom_margin=”||||false|false” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”][dsm_flipbox_child title=”Confidence in Critical Projects” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|600|||||||” header_text_color=”#F65F34″ header_font_size=”24px” content_font=”Poppins||||||||” content_line_height=”1.2em” background_color=”#FFFFFF” background_enable_color=”on” custom_button=”on” button_text_size=”14px” button_border_width=”1px” button_border_radius=”50px” button_font=”Inter||||||||” custom_padding=”15px|15px|15px|15px|true|true” border_radii=”on|12px|12px|12px|12px” box_shadow_style=”preset1″ box_shadow_blur=”15px” box_shadow_color=”rgba(0,0,0,0.21)” global_colors_info=”{}” parent_header_level=”h3″]Diverse organizations trust us with their critical projects. For us, the result matters more than the time; that is why we measure our success in projects delivered, not in billable hours.[\/dsm_flipbox_child][dsm_flipbox_child title=”Confidence in Critical Projects” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|600|||||||” header_text_color=”#FFFFFF” header_font_size=”24px” content_font=”Poppins||||||||” content_line_height=”1.2em” background_color=”#08213c” background_enable_color=”on” custom_button=”on” button_text_size=”14px” button_border_width=”1px” button_border_radius=”50px” button_font=”Inter||||||||” background_layout=”dark” custom_padding=”15px|15px|15px|15px|true|true” border_radii=”on|12px|12px|12px|12px” box_shadow_style=”preset1″ box_shadow_blur=”15px” box_shadow_color=”rgba(0,0,0,0.21)” global_colors_info=”{}” parent_header_level=”h3″]Diverse organizations trust us with their critical projects. For us, the result matters more than the time; that is why we measure our success in projects delivered, not in billable hours.[\/dsm_flipbox_child][\/dsm_flipbox][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][dsm_flipbox flipbox_type=”fade” flipbox_speed=”0s” flipbox_height=”350px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_font_size=”22px” content_text_align=”justify” custom_margin=”||||false|false” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”][dsm_flipbox_child title=”AI with Human Supervision” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|600|||||||” header_text_color=”#F65F34″ header_font_size=”24px” content_font=”Poppins||||||||” content_line_height=”1.2em” background_color=”#FFFFFF” background_enable_color=”on” custom_button=”on” button_text_size=”14px” button_border_width=”1px” button_border_radius=”50px” button_font=”Inter||||||||” custom_padding=”15px|15px|15px|15px|true|true” border_radii=”on|12px|12px|12px|12px” box_shadow_style=”preset1″ box_shadow_blur=”15px” box_shadow_color=”rgba(0,0,0,0.21)” global_colors_info=”{}” parent_header_level=”h3″]We detect inconsistent formats, duplicates, and violated rules with AI First, Controlled AI, or No AI levels according to the regulatory framework. Every decision is recorded in an auditable log.[\/dsm_flipbox_child][dsm_flipbox_child title=”AI with Human Supervision” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|600|||||||” header_text_color=”#FFFFFF” header_font_size=”24px” content_font=”Poppins||||||||” content_line_height=”1.2em” background_color=”#032442″ background_enable_color=”on” custom_button=”on” button_text_size=”14px” button_border_width=”1px” button_border_radius=”50px” button_font=”Inter||||||||” background_layout=”dark” custom_padding=”15px|15px|15px|15px|true|true” border_radii=”on|12px|12px|12px|12px” box_shadow_style=”preset1″ box_shadow_blur=”15px” box_shadow_color=”rgba(0,0,0,0.21)” global_colors_info=”{}” parent_header_level=”h3″]We detect inconsistent formats, duplicates, and violated rules with AI First, Controlled AI, or No AI levels according to the regulatory framework. Every decision is recorded in an auditable log.[\/dsm_flipbox_child][\/dsm_flipbox][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][dsm_flipbox flipbox_type=”fade” flipbox_speed=”0s” flipbox_height=”350px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”|600|||||||” header_font_size=”22px” content_text_align=”justify” custom_margin=”||||false|false” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”][dsm_flipbox_child title=”Experience in Critical Operations ” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|600|||||||” header_text_color=”#F65F34″ header_font_size=”24px” content_font=”Poppins||||||||” content_line_height=”1.2em” background_color=”#FFFFFF” background_enable_color=”on” custom_button=”on” button_text_size=”14px” button_border_width=”1px” button_border_radius=”50px” button_font=”Inter||||||||” custom_padding=”15px|15px|15px|15px|true|true” border_radii=”on|12px|12px|12px|12px” box_shadow_style=”preset1″ box_shadow_blur=”15px” box_shadow_color=”rgba(0,0,0,0.21)” global_colors_info=”{}” parent_header_level=”h3″]We validate data in database migrations, cloud transitions, Data Lake consolidations, and ETL pipelines. When an audit, new system, or model arrives, the data is already ready.[\/dsm_flipbox_child][dsm_flipbox_child title=”Experience in Critical Operations” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|600|||||||” header_text_color=”#FFFFFF” header_font_size=”24px” content_font=”Poppins||||||||” content_line_height=”1.2em” background_color=”#032442″ background_enable_color=”on” custom_button=”on” button_text_size=”14px” button_border_width=”1px” button_border_radius=”50px” button_font=”Inter||||||||” background_layout=”dark” custom_padding=”15px|15px|15px|15px|true|true” border_radii=”on|12px|12px|12px|12px” box_shadow_style=”preset1″ box_shadow_blur=”15px” box_shadow_color=”rgba(0,0,0,0.21)” global_colors_info=”{}” parent_header_level=”h3″]We validate data in database migrations, cloud transitions, Data Lake consolidations, and ETL pipelines. When an audit, new system, or model arrives, the data is already ready.[\/dsm_flipbox_child][\/dsm_flipbox][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”@ET-DC@eyJkeW5hbWljIjp0cnVlLCJjb250ZW50IjoicG9zdF9saW5rX3VybF9wYWdlIiwic2V0dGluZ3MiOnsicG9zdF9pZCI6Ijg1NjkiLCJlbmFibGVfaHRtbCI6Im9mZiJ9fQ==@” button_text=” Request your Data Testing Assessment” button_alignment=”center” _builder_version=”4.27.8″ _dynamic_attributes=”button_url” _module_preset=”default” custom_button=”on” button_text_size=”18px” button_bg_color=”#F65F34″ button_border_width=”0px” button_border_radius=”100px” button_font=”Inter|600|||||||” background_layout=”dark” custom_margin=”||20px||false|false” custom_padding=”20px|50px|20px|50px|true|true” hover_enabled=”0″ locked=”off” global_colors_info=”{}” sticky_enabled=”0″][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ use_custom_gutter=”on” gutter_width=”2″ padding_right_1=”0px” padding_right_2=”0px” padding_left_1=”0px” padding_left_2=”0px” padding_top_bottom_link_1=”false” padding_top_bottom_link_2=”false” padding_left_right_link_1=”false” padding_left_right_link_2=”false” admin_label=”Stats” _builder_version=”4.27.6″ _module_preset=”default” background_color=”rgba(16,18,70,0.6)” background_image=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/05\/Back_MTP.png” background_position=”bottom_left” background_blend=”multiply” custom_margin=”|0px|||false|false” custom_padding=”4vw|0px|4vw||true|false” collapsed=”on” global_colors_info=”{%22gcid-81a7943e-90c8-4540-8132-675997db2959%22:%91%22top_divider_color%22%93}”][et_pb_row column_structure=”2_5,3_5″ make_equal=”on” custom_padding_last_edited=”on|phone” _builder_version=”4.27.6″ _module_preset=”default” background_enable_color=”off” width=”100%” custom_margin=”15px||15px||true|false” custom_padding=”20px|20px|20px|20px|true|true” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_css_main_element=”align-items:center” locked=”off” global_colors_info=”{}”][et_pb_column type=”2_5″ _builder_version=”4.18.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”Inter|700||on|||||” text_text_color=”#FFFFFF” text_letter_spacing=”2px” text_line_height=”1.1em” header_2_text_align=”left” header_2_text_color=”#FFFFFF” header_2_font_size=”32px” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n WHAT CHANGES WHEN DATA IS RELIABLE IN EVERY RELEASE<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”|700|||||||” text_text_color=”#FFFFFF” text_font_size=”36px” text_line_height=”1.1em” header_2_text_align=”left” header_2_text_color=”#FFFFFF” header_2_font_size=”32px” text_orientation=”center” custom_margin=”||||false|false” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][et_pb_column type=”3_5″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”RGBA(255,255,255,0)” global_colors_info=”{}”][et_pb_blurb title=”Reliable decisions, not permanent reconciliations” use_icon=”on” font_icon=”||fa||900″ icon_color=”#FFFFFF” image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”700b6b37-500f-474d-a5de-3ecd2aaf1900″ header_level=”h3″ header_text_color=”#FFFFFF” header_letter_spacing=”0em” header_line_height=”1em” body_text_color=”#FFFFFF” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#FFFFFF” locked=”off” global_colors_info=”{}”]<\/p>\n Reports reconcile without an analyst having to explain every difference. Management decides based on figures, not on theories about why they changed. <\/span> <\/span><\/p>\n [\/et_pb_blurb][et_pb_blurb title=”Controlled regulatory exposure, not improvised audits” use_icon=”on” font_icon=”||fa||900″ icon_color=”#FFFFFF” image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”700b6b37-500f-474d-a5de-3ecd2aaf1900″ header_level=”h3″ header_text_color=”#FFFFFF” header_letter_spacing=”0em” header_line_height=”1em” body_text_color=”#FFFFFF” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#FFFFFF” locked=”off” global_colors_info=”{}”]<\/p>\n Audit trails and full traceability for applicable frameworks. Compliance stops extracting evidence by hand every time a request arrives. <\/span> <\/span><\/p>\n [\/et_pb_blurb][et_pb_blurb title=”Errors detected in the pipeline, not in the CFO's report ” use_icon=”on” font_icon=”||fa||900″ icon_color=”#FFFFFF” image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”700b6b37-500f-474d-a5de-3ecd2aaf1900″ header_level=”h3″ header_text_color=”#FFFFFF” header_letter_spacing=”0em” header_line_height=”1em” body_text_color=”#FFFFFF” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#FFFFFF” locked=”off” global_colors_info=”{}”]<\/p>\n Automatic controls block defective loads before they reach the CRM, ERP, executive dashboards, or models. The problem is contained near the source, not the affected user. <\/span> <\/span><\/p>\n [\/et_pb_blurb][et_pb_blurb title=”Repair time in hours, not days” use_icon=”on” font_icon=”||fa||900″ icon_color=”#FFFFFF” image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”700b6b37-500f-474d-a5de-3ecd2aaf1900″ header_level=”h3″ header_text_color=”#FFFFFF” header_letter_spacing=”0em” header_line_height=”1em” body_text_color=”#FFFFFF” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#FFFFFF” locked=”off” global_colors_info=”{}”]<\/p>\n The executive dashboard identifies the exact point where the error appears. Operations repairs in hours what previously took days of cross-team investigation. <\/span> <\/span><\/p>\n [\/et_pb_blurb][et_pb_blurb title=”AI enabled for production, not stuck in pilot ” use_icon=”on” font_icon=”||divi||400″ icon_color=”#FFFFFF” image_icon_background_color=”RGBA(255,255,255,0)” image_icon_width=”30px” _builder_version=”4.27.6″ _module_preset=”700b6b37-500f-474d-a5de-3ecd2aaf1900″ header_level=”h3″ header_text_color=”#FFFFFF” header_letter_spacing=”0em” header_line_height=”1em” body_text_color=”#FFFFFF” body_letter_spacing=”0em” body_line_height=”1em” body_ul_line_height=”1.2em” background_enable_color=”off” image_icon_custom_margin=”||||false|false” image_icon_custom_padding=”10px|10px|10px|10px|true|true” custom_margin=”||||false|false” custom_padding=”||||false|false” custom_padding_tablet=”30px|30px|30px|30px|true|true” custom_padding_phone=”20px|20px|20px|20px|true|true” custom_padding_last_edited=”on|phone” border_width_all_image=”2px” border_color_all_image=”#FFFFFF” locked=”off” global_colors_info=”{}”]<\/p>\n Models receive intact data and generate reliable recommendations. Your organization stops having data quality as a barrier to scaling AI. <\/span> <\/span><\/p>\n [\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” custom_margin=”||||false|false” custom_padding=”||||true|true” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ header_2_font=”Inter|600|||||||” header_2_font_size=”42px” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][dsm_card_carousel slide_to_show=”1″ layout=”inline” stretch_image=”off” _builder_version=”4.27.6″ _module_preset=”default” badge_text_color=”#F65F34″ header_font=”|600|||||||” header_text_color=”#000000″ custom_button=”on” button_text_size=”14px” button_text_color=”#FFFFFF” button_bg_color=”#F65F34″ button_border_radius=”23px” button_letter_spacing=”0px” button_font=”Poppins||||||||” min_height=”300px” height=”350px” locked=”off” global_colors_info=”{}”][dsm_card_carousel_child title=”Multi-vendor Governance” image=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/03\/118915.jpg” image_background_height=”300px” badge_text=”Financial Sector” badge_background_color=”#FFFFFF” button_text=”Read success story” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” badge_font=”Poppins||||||||” badge_text_color=”#F65F34″ header_level=”h3″ header_font=”Inter||||||||” header_font_size=”30px” subhead_font=”Poppins||||||||” button_icon=”$||divi||400″ button_icon_color=”#F65F34″ button_alignment=”left” global_colors_info=”{}” parent_button=”on” parent_header_level=”h4″ parent_stretch_image=”off”]<\/p>\n “We stabilized our pipeline and today we release with greater confidence to Management. Automation stopped being a risk.”<\/p>\n \u2014 IT Director, Financial Sector<\/strong><\/p>\n [\/dsm_card_carousel_child][dsm_card_carousel_child title=”18 critical applications in system separation” image=”https:\/\/mtpinternational.mx\/wp-content\/uploads\/2026\/03\/417.jpg” image_background_height=”300px” badge_text=”Private Industry” badge_background_color=”#FFFFFF” button_text=”Read success story” button_url_new_window=”1″ _builder_version=”4.27.6″ _module_preset=”default” badge_font=”Poppins||||||||” badge_text_color=”#F65F34″ header_level=”h3″ header_font=”Inter||||||||” header_font_size=”30px” subhead_font=”Poppins||||||||” button_icon=”$||divi||400″ button_icon_color=”#F65F34″ button_alignment=”left” global_colors_info=”{}” parent_button=”on” parent_header_level=”h4″ parent_stretch_image=”off”]<\/p>\n [\/dsm_card_carousel_child][\/dsm_card_carousel][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”Inter|800||on|||||” text_text_color=”#F65F34″ text_letter_spacing=”6px” header_2_text_align=”left” header_2_font_size=”32px” text_orientation=”center” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}” header_2_text_color__hover_enabled=”off|desktop”]<\/p>\n Data Testing <\/span>operational process<\/span><\/span> <\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ header_2_font=”Inter|600|||||||” header_2_font_size=”42px” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ make_equal=”on” _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Data Quick Assessment” use_icon=”on” font_icon=”d||divi||400″ icon_color=”#F65F34″ image_icon_width=”50px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”center” body_text_align=”center” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n We map<\/span> <\/span>critical<\/span> <\/span>sources<\/span>, pipelines <\/span>at<\/span> <\/span>risk<\/span>, and <\/span>business<\/span> <\/span>rules<\/span>. We <\/span>deliver<\/span> <\/span>a diagnosis<\/span> and a 90-day plan with <\/span>clear<\/span> <\/span>priorities<\/span>.<\/span><\/span><\/p>\n [\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Design of Quality Criteria” use_icon=”on” font_icon=”s||divi||400″ icon_color=”#F65F34″ image_icon_width=”50px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”center” body_text_align=”center” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n We define criteria for completeness, consistency, conformity, and integrity by domain, aligned with the regulatory framework and best practices.<\/p>\n [\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Integrity and Rules Validation” use_icon=”on” font_icon=”||divi||400″ icon_color=”#F65F34″ image_icon_width=”50px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”center” body_text_align=”center” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n We verify that every record reaches the destination complete, without duplicates or losses, with rules applied at every transformation.<\/p>\n [\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_3,1_3,1_3″ make_equal=”on” _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Anomaly Detection with AI and Human Supervision ” use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ image_icon_width=”50px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”center” body_text_align=”center” custom_padding=”||||false|false” global_colors_info=”{}”]<\/p>\n AI identifies inconsistent formats, duplicates, and strange patterns. Every critical decision has traceability for auditing. <\/p>\n [\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Automatic Controls in Pipelines and Continuous Integration ” use_icon=”on” font_icon=”||fa||900″ icon_color=”#F65F34″ image_icon_width=”50px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”center” body_text_align=”center” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n We implement controls with clear pass\/fail criteria, integrated into your stack: dbt, Airflow, Azure Data Factory, AWS Glue.<\/p>\n [\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_blurb title=”Continuous Operation and Transfer ” use_icon=”on” font_icon=”+||divi||400″ icon_color=”#F65F34″ image_icon_width=”50px” _builder_version=”4.27.6″ _module_preset=”default” header_level=”h3″ header_font=”Inter|700|||||||” header_text_align=”center” body_text_align=”center” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n We provide support with formal source owners and active governance. MTP remains a partner for new pipelines, models, and audits. <\/p>\n [\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” background_color=”#f5f7fa” custom_padding=”80px||80px||true|false” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ header_2_font=”Inter|600|||||||” header_2_text_color=”#000000″ header_2_font_size=”45px” text_orientation=”center” custom_margin=”||10px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”74c41b82-94fc-4692-a37d-e97a9a4e2a66″ text_line_height=”1.4em” custom_padding=”||||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n Over more than 12 years of experience in Mexico, we have helped our clients solve the most complex QA challenges.<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_4,1_4,1_4,1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_number_counter title=”Issues Detected” number=”+150,000″ percent_sign=”off” _builder_version=”4.27.6″ _module_preset=”default” title_text_color=”gcid-bddc0b07-204a-471f-a9e9-ce834b37b79c” number_font=”Inter|700|||||||” number_text_color=”#F65F34″ number_font_size=”38px” background_layout=”dark” global_colors_info=”{%22gcid-bddc0b07-204a-471f-a9e9-ce834b37b79c%22:%91%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22%93}”][\/et_pb_number_counter][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_number_counter title=”Automated Test Cases” number=”+83,000″ percent_sign=”off” _builder_version=”4.27.6″ _module_preset=”default” title_text_color=”gcid-bddc0b07-204a-471f-a9e9-ce834b37b79c” number_font=”Inter|700|||||||” number_text_color=”#F65F34″ number_font_size=”38px” background_layout=”dark” locked=”off” global_colors_info=”{%22gcid-bddc0b07-204a-471f-a9e9-ce834b37b79c%22:%91%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22%93}” title__hover_enabled=”off|desktop”][\/et_pb_number_counter][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_number_counter title=”Testing Hours” number=”+1,950,000″ percent_sign=”off” _builder_version=”4.27.6″ _module_preset=”default” title_text_color=”gcid-bddc0b07-204a-471f-a9e9-ce834b37b79c” number_font=”Inter|700|||||||” number_text_color=”#F65F34″ number_font_size=”38px” background_layout=”dark” locked=”off” global_colors_info=”{%22gcid-bddc0b07-204a-471f-a9e9-ce834b37b79c%22:%91%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22%93}”][\/et_pb_number_counter][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_number_counter title=”Test Cases Designed” number=”+830,000″ percent_sign=”off” _builder_version=”4.27.6″ _module_preset=”default” title_text_color=”gcid-bddc0b07-204a-471f-a9e9-ce834b37b79c” number_font=”Inter|700|||||||” number_text_color=”#F65F34″ number_font_size=”38px” background_layout=”dark” locked=”off” global_colors_info=”{%22gcid-bddc0b07-204a-471f-a9e9-ce834b37b79c%22:%91%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22,%22title_text_color%22%93}”][\/et_pb_number_counter][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_row _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ text_font=”Inter|700||on|||||” text_text_color=”#f65f34″ text_letter_spacing=”2px” text_line_height=”1.1em” header_2_text_align=”left” header_2_text_color=”#0C71C3″ header_2_font_size=”32px” custom_margin=”||0px||false|false” locked=”off” global_colors_info=”{}”]Frequently Asked Questions about Data Testing[\/et_pb_text][et_pb_text _builder_version=”4.27.6″ _module_preset=”65b75437-ddcf-4cf4-93ed-0b61ca0478e3″ header_2_font=”Inter|600|||||||” header_2_text_align=”left” header_2_font_size=”37px” custom_margin=”||||false|false” custom_padding=”15px||10px||false|false” locked=”off” global_colors_info=”{}”]<\/p>\n [\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_toggle title=”What tools and technologies does MTP use in Data Testing? ” open_toggle_text_color=”#F65F34″ icon_color=”#f65f34″ open_icon_color=”#F65F34″ _builder_version=”4.27.6″ _module_preset=”default” title_level=”h3″ title_font=”Inter||||||||” title_font_size=”18px” closed_title_font=”Inter||||||||” body_font=”Poppins|300|||||||” global_colors_info=”{}”]<\/p>\n MTP uses industry-standard tools and adapts to those your team already uses, without imposing replacements. We work with validation engines (dbt tests, Great Expectations, Soda), data quality platforms (Informatica DQ, Talend DQ, Ataccama), orchestrators (Airflow, Azure Data Factory, AWS Glue), and cloud environments (Snowflake, Databricks, BigQuery, Synapse). The final selection is defined in the Quick Assessment based on your situation, applicable regulations, and governance maturity. <\/span> <\/span><\/p>\n [\/et_pb_toggle][et_pb_toggle title=”How is full data traceability validated from its source to the final report? ” open_toggle_text_color=”#F65F34″ icon_color=”#f65f34″ open_icon_color=”#F65F34″ _builder_version=”4.27.6″ _module_preset=”default” title_level=”h3″ title_font=”Inter||||||||” title_font_size=”18px” closed_title_font=”Inter||||||||” body_font=”Poppins|300|||||||” global_colors_info=”{}”]<\/p>\n Full traceability means that every piece of data in a report can be traced back to its source system, with all transformations documented. The MTP Framework validates in three layers: source (source profiling and active rules), transformation (each rule audited with input and output), and destination (field-by-field comparison against the final report). Evidence is ready for auditing without manual reconstructions, whether for a financial regulator, an external audit, or a management decision. <\/span> <\/span><\/p>\n [\/et_pb_toggle][et_pb_toggle title=”How does AI anomaly detection work without breaking regulatory compliance? ” open_toggle_text_color=”#F65F34″ icon_color=”#f65f34″ open_icon_color=”#F65F34″ _builder_version=”4.27.6″ _module_preset=”default” title_level=”h3″ title_font=”Inter||||||||” title_font_size=”18px” closed_title_font=”Inter||||||||” body_font=”Poppins|300|||||||” global_colors_info=”{}”]<\/p>\n We operate a Controlled AI model: AI identifies strange patterns in format, duplicates, violated rules, and broken references, but critical decisions require human validation and are recorded in an audit trail. In environments where human traceability is mandatory\u2014personal data protection, financial reporting, sectoral regulations\u2014we work with Controlled AI or No AI as appropriate. AI accelerates detection without breaking compliance: it assists the validator, it does not replace them. <\/span> <\/span><\/p>\n [\/et_pb_toggle][\/et_pb_column][et_pb_column type=”1_2″ _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”][et_pb_toggle title=”How are duplicates and format errors reduced in loads to operating systems? ” open_toggle_text_color=”#F65F34″ icon_color=”#f65f34″ open_icon_color=”#F65F34″ _builder_version=”4.27.6″ _module_preset=”default” title_level=”h3″ title_font=”Inter||||||||” title_font_size=”18px” closed_title_font=”Inter||||||||” body_font=”Poppins|300|||||||” global_colors_info=”{}”]<\/p>\n Duplicates and format errors are reduced with automatic controls at three points: profiling each source before loading, deduplication rules combined with advanced techniques for complex cases, and pre-load controls that block records outside the criteria. Controlled AI detects patterns that traditional rules do not capture\u2014mixed formats, inconsistent abbreviations, broken dates\u2014and marks them for human review before loading into CRM, ERP, data warehouses, or operating systems. <\/span> <\/span><\/p>\n [\/et_pb_toggle][et_pb_toggle title=”How long does the Data Testing Quick Assessment last and what does it deliver? ” open_toggle_text_color=”#F65F34″ icon_color=”#f65f34″ open_icon_color=”#F65F34″ _builder_version=”4.27.6″ _module_preset=”default” title_level=”h3″ title_font=”Inter||||||||” title_font_size=”18px” closed_title_font=”Inter||||||||” body_font=”Poppins|300|||||||” global_colors_info=”{}”]<\/p>\n The Data Testing Quick Assessment lasts 5 business days and is free. It includes interviews with data, architecture, and compliance leads; review of critical sources and pipelines; identification of integrity risks and regulatory exposure; and delivery of a diagnosis with a 90-day plan and quantified priorities. If you need a larger scope, the next step is an extended Maturity Assessment. <\/span> <\/span><\/p>\n [\/et_pb_toggle][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.27.3″ _module_preset=”default” background_color=”#032442″ locked=”off” global_colors_info=”{}”][et_pb_row column_structure=”1_2,1_2″ _builder_version=”4.27.3″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”1_2″ _builder_version=”4.27.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.27.3″ _module_preset=”default” header_2_font=”Inter|700|||||||” header_2_text_color=”#FFFFFF” header_2_font_size=”50px” custom_margin=”0px||0px||false|false” custom_padding=”0px||0px||false|false” header_2_font_size_tablet=”50px” header_2_font_size_phone=”40px” header_2_font_size_last_edited=”on|phone” global_colors_info=”{%22gcid-81a7943e-90c8-4540-8132-675997db2959%22:%91%22header_2_text_color%22,%22header_2_text_color%22%93,%22gcid-primary-color%22:%91%22header_2_text_color%22,%22header_2_text_color%22%93}”]<\/p>\n [\/et_pb_text][et_pb_divider color=”#F65F34″ divider_position=”bottom” divider_weight=”4px” _builder_version=”4.27.2″ _module_preset=”default” width=”10%” module_alignment=”left” custom_margin=”0px||30px||false|false” custom_padding=”0px||0px||false|false” global_colors_info=”{%22gcid-secondary-color%22:%91%22color%22%93}”][\/et_pb_divider][et_pb_text _builder_version=”4.27.6″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n 30 <\/span>minutes<\/span> with a <\/span>specialist<\/span>. No <\/span>sales<\/span> agenda.<\/span><\/span> <\/span><\/p>\n [\/et_pb_text][et_pb_text _builder_version=”4.27.7″ _module_preset=”default” text_text_color=”#FFFFFF” locked=”off” global_colors_info=”{}”]<\/p>\n The 5-business-day Assessment maps your current maturity level, projected TCO, and potential ROI, with a concrete deliverable to present to management.<\/p>\n <\/p>\n [\/et_pb_text][et_pb_blurb title=”Phone” use_icon=”on” font_icon=”||divi||400″ icon_color=”#F65F34″ icon_placement=”left” image_icon_width=”25px” _builder_version=”4.27.6″ _module_preset=”default” body_text_color=”#FFFFFF” body_link_text_color=”#FFFFFF” background_layout=”dark” global_colors_info=”{%22gcid-secondary-color%22:%91%22icon_color%22,%22icon_color%22%93}”]<\/p>\nData Testing: <\/span>data<\/span> <\/span>integrity<\/span> <\/span>in<\/span> <\/span>every<\/span> <\/span>migration<\/span>, pipeline, and <\/span>critical<\/span> <\/span>process<\/span><\/span> <\/span><\/h1>\n
The <\/span>cost<\/span> of<\/span><\/span> <\/span>defective<\/span> <\/span>data<\/span> <\/span>appears<\/span> <\/span>in<\/span>: <\/span>wrong<\/span> <\/span>decisions<\/span>, <\/span>invisible<\/span> rework, and <\/span>AI <\/span>that<\/span> does not <\/span>scale<\/span><\/span><\/h2>\n
The <\/span>problem<\/span> is not <\/span>the<\/span> <\/span>data<\/span>, it is what <\/span>is<\/span> <\/span>missing<\/span> <\/span>behind it<\/span>: <\/span>strategy<\/span>, <\/span>validation<\/span> <\/span>per<\/span> <\/span>layers<\/span>, and <\/span>source<\/span> <\/span>governance<\/span><\/h2>\n
We don’t just promise Data Testing: we deliver the results<\/strong> that only come with method, experience, and support<\/h2>\n
Results<\/span> <\/span>that<\/span> <\/span>the<\/span> <\/span>business<\/span> <\/span>recognizes<\/span>, not just the <\/span>data team<\/span><\/span> <\/span><\/h2>\n
Experience in Environments Where Error Is Not an Option<\/h2>\n
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From unvalidated data to integrity in every load\u2014this is how we operate<\/h2>\n
Operational Scale for Organizations<\/h2>\n
What <\/span>we <\/span>are <\/span>asked <\/span>most <\/span>often <\/span>about <\/span>Data <\/span>Testing<\/span><\/span><\/span><\/span><\/h2>\n
Let’s talk about your Data Testing challenges<\/span><\/span> <\/span><\/h2>\n