{"id":15993,"date":"2024-11-06T10:00:00","date_gmt":"2024-11-06T09:00:00","guid":{"rendered":"https:\/\/itpatagonia.com\/?p=15993"},"modified":"2026-06-08T06:35:11","modified_gmt":"2026-06-08T04:35:11","slug":"gobernanza-de-datos-desafios","status":"publish","type":"post","link":"https:\/\/itpatagonia.com\/en\/blog\/gobernanza-de-datos-desafios","title":{"rendered":"Data governance: pain points and challenges, and how to solve them with a roadmap"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Data governance is a direct enabler of business, allowing for faster and more confident decision-making, achieving a shared view of information across the organization, and transforming data into a strategic asset.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In companies where data is not governed, problems do not appear as isolated technical failures, but as inconsistent decisions, operational delays, and increasing compliance risks.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This scenario becomes even more critical in contexts where artificial intelligence and advanced analytics depend on reliable data that is available in a timely manner. Without a clear governance model, scaling these capabilities is risky.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">We analyze the main pain points related to data governance that impact most organizations and how to start addressing them, along with a six-step implementation plan with quick wins.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-dolor-1-silos-y-falta-de-visibilidad-del-dato\"><strong>Pain 1: Silos and lack of data visibility<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">In many organizations, data grows at the same pace as systems and departments, but without a common strategy. Each team defines, transforms, and uses information according to its own needs, leading to structural fragmentation.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The problem isn&#039;t just the existence of multiple sources, but the lack of cross-sectional visibility. When there isn&#039;t a clear map of the data, it&#039;s impossible to govern it effectively.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The difference between governing data and not also impacts business results. McKinsey &amp; Company points out that<a href=\"https:\/\/www.mckinsey.com\/capabilities\/growth-marketing-and-sales\/our-insights\/five-facts-how-customer-analytics-boosts-corporate-performance\"> Data-driven organizations are 23 times more likely to acquire customers and 19 times more likely to be profitable.<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Among the signs to consider when identifying this pain point are these situations:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The departments are arguing over which piece of data is &quot;correct&quot;.<\/strong> This reflects the lack of shared definitions and common standards. Each area optimizes its own vision, but the business loses coherence.<\/li>\n\n\n\n<li><strong>There are duplicate reports with different numbers.<\/strong> Duplication not only creates confusion, but also consumes time in validations and rework.<\/li>\n\n\n\n<li><strong>There is no data catalog \/ inventory of critical assets.<\/strong> Without a catalog, data is neither identifiable nor manageable. The organization operates \u201cblindly.\u201d.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This pain directly impacts the ability to make quick and consistent decisions, and is often the first obstacle for any data-driven transformation initiative.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"389\" src=\"https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen1-copia-1024x389.png\" alt=\"Gobernanza de datos: qu\u00e9 es-IT Patagonia\" class=\"wp-image-15996\" srcset=\"https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen1-copia-1024x389.png 1024w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen1-copia-300x114.png 300w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen1-copia-768x291.png 768w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen1-copia-1536x583.png 1536w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen1-copia-2048x777.png 2048w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen1-copia-18x7.png 18w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen1-copia-720x273.png 720w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Pain 2: Low quality and loss of confidence<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Data quality is not a technical attribute; it&#039;s a prerequisite for business operation. If data is unreliable, the problem isn&#039;t just the isolated error, but a loss of credibility across the entire system.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Poor data quality affects operations and has a direct economic impact.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">According to a Gartner report referenced by IBM, <a href=\"https:\/\/www.ibm.com\/think\/topics\/data-quality\">Poor data quality costs organizations an average of $12.9 million per year<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Over time, a silent but critical effect is generated: <strong>People stop using the data or validate it manually, negating any efficiency gains.<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What are the signs that indicate this pain point?<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Users validate data manually<\/strong> before using them because the system does not inspire confidence and forces the incorporation of manual controls.<\/li>\n\n\n\n<li><strong>Mistakes are detected late<\/strong> (due to complaints or audits). Delayed detection increases the impact of the error and exposes the organization to reputational or regulatory risks.<\/li>\n\n\n\n<li><strong>There are no defined quality KPIs<\/strong>. Without metrics, quality cannot be managed. You react, but you don&#039;t prevent.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">In environments where sensitive data is managed, this problem escalates rapidly. Poor quality not only affects operations but can also lead to compliance risks., <a href=\"https:\/\/itpatagonia.com\/en\/blog\/desafios-de-la-gestion-de-datos-personales\/\">especially when it comes to personal data<\/a>, where errors, duplications or inconsistencies can directly impact user privacy and the organization&#039;s regulatory exposure.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Pain 3: Unclear roles and ownership conflicts<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">One of the main obstacles to data governance is organizational and lies in the lack of clarity about who is responsible for a specific function.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When roles are not defined, data decisions become diluted, delayed, or resolved inconsistently.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The most common signs that indicate the presence of this pain are the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>It is not known who approves definitions or data changes<\/strong>. This creates dependence on informal agreements and delays any progress.<\/li>\n\n\n\n<li><strong>Decisions are resolved by hierarchy<\/strong>, not by model. In the absence of governance, the organizational structure prevails, not the technical or business criteria.<\/li>\n\n\n\n<li><strong>There are no formal data owners or stewards<\/strong>. Without clear roles, there is no accountability or continuity in management.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">An effective governance model not only defines processes: it establishes clear and sustainable responsibilities over time.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Pain 4: Slow access versus security and privacy<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Data access often becomes a bottleneck when there is no clear model that balances agility and control.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Many organizations operate with manual or overly restrictive processes, which directly impacts productivity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This pain manifests itself in these types of cases:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Access to data depends on manual requests<\/strong> (tickets \/ Excel), which introduces delays, errors and lack of traceability.<\/li>\n\n\n\n<li><strong>Compliance and privacy requirements are assessed at the end. <\/strong>When privacy is not designed from the start, it becomes a hindrance in later stages.<\/li>\n\n\n\n<li><strong>There are no clear access criteria based on role or context<\/strong>. If the rules are not defined, access is managed on a case-by-case basis, leading to inconsistency.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This balance is key in any modern strategy, and it is directly linked to <a href=\"https:\/\/itpatagonia.com\/en\/blog\/ciberseguridad-y-proteccion-de-datos\/\">cybersecurity and data protection practices<\/a>, where security and governance must be integrated from the design stage.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Pain 5: Non-existent metrics and \u201cunmanageable\u201d<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Data governance often remains merely a statement because it is not measured. Without indicators, there is no way to understand the current state or demonstrate improvements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This limits the ability to prioritize, justify investments, and sustain initiatives over time.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">These signs help identify the existence of this pain:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>There are no quality KPIs,<\/strong> Access times or rework. Without metrics, the problems are neither visible nor quantifiable.<\/li>\n\n\n\n<li><strong>The impact of data problems is not measured.<\/strong> This makes it difficult to translate the problem into business language.<\/li>\n\n\n\n<li><strong>There is no visibility into incidents or associated costs<\/strong>. Without data on data problems, there is no urgency to solve them.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Measuring is the first step in transforming data governance into a manageable discipline.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"389\" src=\"https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen-2-1024x389.png\" alt=\"Para establecer una gobernanza s\u00f3lida hay que capacitar a los equipos para que puedan utilizar los datos de manera efectiva.\" class=\"wp-image-15994\" srcset=\"https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen-2-1024x389.png 1024w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen-2-300x114.png 300w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen-2-768x291.png 768w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen-2-1536x583.png 1536w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen-2-2048x777.png 2048w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen-2-18x7.png 18w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen-2-720x273.png 720w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">Establishing strong governance requires empowering teams to use data effectively.<\/figcaption><\/figure>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-como-priorizar-matriz-de-impacto-urgencia-y-dependencia-de-datos\"><strong>How to prioritize: impact matrix, urgency, and data dependency<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Trying to solve all problems at once usually leads to failure. Prioritization is key to moving forward with focus and visible results.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A practical way to do this is by using a matrix that combines:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Business Impact<\/strong>How critical is the problem in terms of revenue, costs, or risk?.<\/li>\n\n\n\n<li><strong>Urgency<\/strong>: if it requires immediate resolution (for example, for compliance or active incidents).<\/li>\n\n\n\n<li><strong>Data dependency<\/strong>: how central is the data to key processes or strategic initiatives (such as AI).<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This combination allows you to identify quick wins that generate traction, while simultaneously building capabilities to scale.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>6-step implementation plan (quick wins + scaling)<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Implementing data governance does not mean deploying a complete model from scratch. It requires an incremental approach, combining quick results with structural development.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">1. <strong>Identify critical domains. <\/strong>Selecting the data that truly impacts the business allows you to focus your efforts and demonstrate value early on.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">2. <strong>Define clear ownership. <\/strong>Assigning specific responsibilities enables decision-making and prevents the dilution of responsibilities.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">3. <strong>Set up a <\/strong><strong><em>data catalog<\/em><\/strong><strong> minimum viable. <\/strong>It is not necessary to wait for a complete solution: starting with a basic inventory already generates visibility.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">4. <strong>Define quality and access rules. <\/strong>Incorporating controls from the start avoids rework and subsequent friction.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">5. <strong>Measure and monitor<\/strong>. KPIs allow you to manage the process and demonstrate improvements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">6. <strong>Scale the model<\/strong>. Once validated in critical domains, the model can be extended to the rest of the organization.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The goal is not initial perfection, but progressive and sustained adoption.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Common mistakes<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Beyond the structural challenges, there are common mistakes that slow down or block implementation. These include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Trying to solve everything at once<\/strong>, generating extensive projects without visible results.<\/li>\n\n\n\n<li><strong>Focusing on the problem solely from a technological perspective<\/strong>. Data governance is, above all, an organizational problem.<\/li>\n\n\n\n<li><strong>Failure to define clear roles<\/strong>Without accountability, there is no enforcement.<\/li>\n\n\n\n<li><strong>Postponing privacy and security<\/strong>, causing friction and risks in advanced stages.<\/li>\n\n\n\n<li><strong>Not measuring results<\/strong>. The lack of metrics complicates management and blocks opportunities for improvement.<\/li>\n\n\n\n<li><strong>Do not involve the business<\/strong>. If the business sector does not participate, the government loses relevance.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Avoiding these mistakes significantly accelerates the path to an effective model.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"389\" src=\"https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen3--1024x389.png\" alt=\"Es esencial construir una estrategia de datos alineada con los objetivos de la organizaci\u00f3n.\" class=\"wp-image-15997\" srcset=\"https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen3--1024x389.png 1024w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen3--300x114.png 300w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen3--768x291.png 768w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen3--1536x583.png 1536w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen3--2048x777.png 2048w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen3--18x7.png 18w, https:\/\/itpatagonia.com\/wp-content\/uploads\/2024\/10\/Gobernancia-de-datos_imagen3--720x273.png 720w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><figcaption class=\"wp-element-caption\">It is essential to build a data strategy aligned with the organization&#039;s objectives.<\/figcaption><\/figure>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-checklist-diagnostico-rapido-de-dolores\"><strong>Checklist: Quick diagnosis of pain<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">We share a checklist that allows you to quickly identify the current level of maturity in terms of <a href=\"https:\/\/itpatagonia.com\/en\/blog\/data-governance\/\"><em>data governance<\/em><\/a> and identify opportunities for improvement:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The departments are arguing over which piece of data is &quot;correct&quot;.<\/li>\n\n\n\n<li>There are duplicate reports with different numbers.<\/li>\n\n\n\n<li>Nobody knows who approves definitions or data changes.<\/li>\n\n\n\n<li>Access to data depends on manual requests (tickets \/ Excel).<\/li>\n\n\n\n<li>There is no catalog of data or inventory of critical assets.<\/li>\n\n\n\n<li>Data incidents are discovered late (due to complaints).<\/li>\n\n\n\n<li>Compliance\/privacy appears at the end of the project.<\/li>\n\n\n\n<li>There are no quality KPIs, access times, or rework metrics.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">The more points that are identified, the greater the need to move forward with a structured approach to data governance.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Next steps&nbsp;<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Solving the pain points related to data governance doesn&#039;t require starting from scratch, but it does require a clear diagnosis and an actionable roadmap.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/itpatagonia.com\/en\/servicios\/data-ia\/\">Schedule a diagnostic workshop with specialists<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>","protected":false},"excerpt":{"rendered":"<p>If data is not governed, inconsistencies, rework, and risks arise, among other problems. We identify the main pain points and challenges of data governance and propose a practical approach to address them, with quick wins.<\/p>","protected":false},"author":3,"featured_media":16000,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[172],"tags":[115,44,86,116],"class_list":["post-15993","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-ia","tag-cultura-data-driven","tag-data-analytics","tag-data-governance","tag-gobernanza-de-datos"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Gobierno de datos: dolores comunes y c\u00f3mo resolverlos<\/title>\n<meta name=\"description\" content=\"Silos, baja calidad, roles difusos y riesgo normativo: identificamos los dolores del 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