{"id":4884,"date":"2025-06-15T09:59:27","date_gmt":"2025-06-15T09:59:27","guid":{"rendered":"https:\/\/symufolk.com\/?p=4884"},"modified":"2025-06-12T10:41:07","modified_gmt":"2025-06-12T10:41:07","slug":"a-blueprint-for-successful-data-strategy","status":"publish","type":"post","link":"https:\/\/symufolk.com\/de\/a-blueprint-for-successful-data-strategy\/","title":{"rendered":"Successful Data Strategy: A Blueprint for Modern Businesses"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">In today&#8217;s hyper-competitive landscape, data is more than just numbers &#8211; it&#8217;s the foundation of every successful decision, innovation, and customer experience. But without a data strategy, even the richest data pools can become ineffective. Whether you&#8217;re running a startup or a global enterprise, developing a strong, actionable data strategy is no longer optional &#8211; it&#8217;s essential.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this blog, we\u2019ll walk you through what a successful data strategy looks like, how to build one, and why it\u2019s the key to a future-ready business.<\/span><\/p>\n<h2><b>What Is a Data Strategy?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">A <a href=\"https:\/\/symufolk.com\/de\/what-is-data-strategy\/\"><strong>data strategy<\/strong><\/a> is a structured plan that outlines how a business collects, stores, manages, shares, and uses data. It ensures that data is aligned with business goals and drives value across departments.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Think of it as a data roadmap. It connects your technology, people, processes, and policies to make data a strategic asset rather than a byproduct.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It is the compass that prevents businesses from drifting in data chaos. A strong strategy enables companies to answer fundamental questions: What data do we need? Who should access it? How do we protect it? And how do we turn it into insight?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To illustrate its significance, imagine data as fuel and strategy as the engine. One without the other results in inefficiency or failure. A well-oiled engine can take raw fuel and power a vehicle to reach a clear destination &#8211; your business goals.<\/span><\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter wp-image-4888 size-full\" title=\"what is data Strategy\" src=\"https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/what-is-data-Strategy.png\" alt=\"what is data Strategy\" width=\"1024\" height=\"768\" srcset=\"https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/what-is-data-Strategy.png 1024w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/what-is-data-Strategy-300x225.png 300w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/what-is-data-Strategy-768x576.png 768w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/what-is-data-Strategy-16x12.png 16w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/what-is-data-Strategy-600x450.png 600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<h2><b>Why Every Business Needs a Data Strategy<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The benefits of a data strategy go far beyond IT. A well-executed data strategy plan can:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Improve decision-making through reliable insights<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Streamline operations with better data governance<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Enable personalized customer experiences<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Drive innovation using advanced analytics and AI<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Reduce compliance risks<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Empower agile responses to market changes<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Companies without a data-driven strategy often suffer from fragmented insights, duplicated efforts, and reactive decision-making. On the other hand, businesses with mature data strategies are more adaptable, competitive, and aligned with their customers\u2019 needs.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Case in point: Netflix leverages a robust data strategy to recommend content, optimize streaming performance, and even greenlight new productions based on viewer preferences &#8211; all driven by data.<\/span><\/p>\n<h2><b>Data Strategy vs. Data Analytics Strategy<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">It\u2019s important to distinguish between a data strategy and a data analytics strategy:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A data strategy focuses on the management, governance, quality, and accessibility of data.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A data analytics strategy focuses on how data is interpreted, analyzed, and turned into business insights.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Think of data strategy as the foundation and data analytics as the superstructure. One ensures you have clean, available data; the other ensures you\u2019re using it meaningfully.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You need both to truly become a data-driven organization. One builds the foundation; the other builds the insights.<\/span><\/p>\n<h2><b>Key Elements of a Successful Data Strategy<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Building a successful data strategy involves several core components. Each plays a vital role in turning raw data into actionable intelligence.<\/span><\/p>\n<h3><b>1. Clear Business Objectives<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Your data strategy plan must align with your organization\u2019s short-term and long-term goals. Whether it&#8217;s improving customer retention, entering a new market, or reducing operational costs, your data efforts should directly support these objectives.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Avoid generic ambitions. Instead, tie your data initiatives to specific KPIs &#8211; like increasing Net Promoter Score (NPS), reducing customer churn by 15%, or increasing supply chain transparency by 40%.<\/span><\/p>\n<h3><b>2. Data Governance<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Define how data will be managed across your organization. This includes:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Roles and responsibilities<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data quality standards<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Security and compliance protocols<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Metadata management<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Effective governance fosters trust and transparency. It&#8217;s about ensuring that data is consistent, reliable, and used ethically &#8211; especially in industries like healthcare, finance, and education.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A real-life example comes from the healthcare sector. Hospitals with strong governance frameworks report fewer patient data errors and faster diagnostics because their data is centralized, accurate, and secure.<\/span><\/p>\n<h3><b>3. Data Architecture<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Set up the right systems and technologies to handle your data needs. This includes databases, cloud storage, ETL tools, data lakes, and real-time pipelines. A strong architecture is the backbone of a scalable data strategy.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Consider future-proofing here. Will your architecture support AI workloads in two years? Will it handle IoT data? Scalability and flexibility should be key design principles.<\/span><\/p>\n<h3><b>4. Data Integration<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Ensure all your systems communicate with each other. Integrating data from multiple sources &#8211; CRM, ERP, marketing platforms, IoT &#8211; allows for a unified, 360-degree view of your business.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Without integration, insights remain trapped in silos. Modern data strategies use APIs, middleware, and ELT\/ETL pipelines to break those silos down.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A supply chain company that integrates vendor, logistics, and customer data into one dashboard can react to delivery disruptions in real time, enhancing customer satisfaction and operational efficiency.<\/span><\/p>\n<h3><b>5. Data Literacy<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Technology is useless without people. Invest in data literacy so teams can understand and use data effectively. This builds a data-driven culture where employees at all levels trust and rely on data.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">From frontline staff to executives, democratizing data understanding leads to smarter decisions and fewer bottlenecks.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Global companies like Mastercard have created internal academies to boost data literacy, ensuring even non-technical teams can extract value from insights.<\/span><\/p>\n<h3><b>6. Analytics and AI Capabilities<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Once data is structured and accessible, layer it with analytics tools, dashboards, machine learning models, and predictive engines. This is where data strategies start driving innovation.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Use AI for fraud detection, forecasting, sentiment analysis, and process automation. Let data not only describe what happened but also predict what\u2019s coming.<\/span><\/p>\n<h3><b>7. Change Management<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A data-driven strategy requires organizational change. Be ready to overcome resistance and promote cross-department collaboration. Success hinges on adoption.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This involves training, executive buy-in, and embedding new workflows across departments. Highlight success stories to build momentum.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">One effective technique is the \u201cchampion model,\u201d where key stakeholders in each department are trained first and then serve as advocates and support pillars during rollout.<\/span><\/p>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-4886 size-full\" src=\"https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Core-Elements-of-a-Data-Strategy.png\" alt=\"Core Elements of a Data Strategy\" width=\"1024\" height=\"768\" title=\"\" srcset=\"https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Core-Elements-of-a-Data-Strategy.png 1024w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Core-Elements-of-a-Data-Strategy-300x225.png 300w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Core-Elements-of-a-Data-Strategy-768x576.png 768w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Core-Elements-of-a-Data-Strategy-16x12.png 16w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Core-Elements-of-a-Data-Strategy-600x450.png 600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<h2><b>Developing a Data Strategy: Step-by-Step<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">If you&#8217;re wondering how to create a data strategy from scratch, here\u2019s a simplified step-by-step guide:<\/span><\/p>\n<h3><b>Step 1: Define Your Vision<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Ask: What does success look like for us? Your vision should reflect how data will enable strategic outcomes, not just technical goals. Example: \u201cUse real-time customer data to boost personalization by 40% within 12 months.\u201d<\/span><\/p>\n<h3><b>Step 2: Audit Existing Data<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">What data do you currently collect? Where does it live? Is it accurate? Perform a data inventory and assess data quality to identify gaps.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Look for shadow data &#8211; data that\u2019s collected unofficially and might pose risks. Clean up and consolidate.<\/span><\/p>\n<h3><b>Step 3: Identify Use Cases<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Pinpoint 3 to 5 high-impact use cases &#8211; like churn prediction, sales forecasting, or campaign optimization. These data strategy examples will guide your investments and showcase early wins.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Use cases create buy-in, reduce resistance, and prove ROI.<\/span><\/p>\n<h3><b>Step 4: Build the Right Infrastructure<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Choose tools and platforms that align with your scale and speed needs &#8211; cloud vs. on-premise, real-time vs. batch processing, SQL vs. NoSQL, etc.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Also evaluate data security, latency tolerance, and compliance alignment.<\/span><\/p>\n<h3><b>Step 5: Create Governance Frameworks<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Establish roles, permissions, data ownership policies, and compliance checklists (especially for GDPR, HIPAA, or industry-specific standards).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Make governance everyone\u2019s responsibility, not just IT\u2019s.<\/span><\/p>\n<h3><b>Step 6: Develop a Talent Roadmap<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Do you need data engineers, analysts, scientists, or governance leads? A successful strategy balances internal teams with external partners.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Plan for upskilling and cross-functional collaboration.<\/span><\/p>\n<h3><b>Step 7: Monitor, Iterate, and Scale<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">A data strategy isn\u2019t set and forget. Set up KPIs and regularly evaluate what\u2019s working. Adjust as your business evolves.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Use a data maturity model to assess progress and identify next steps.<\/span><\/p>\n<h2><b>Data Strategy Example: From Chaos to Clarity<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Let\u2019s look at a real-world data strategy example.<\/span><\/p>\n<p><b>Company:<\/b><span style=\"font-weight: 400;\"> A mid-size retail chain<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>Challenge:<\/b><span style=\"font-weight: 400;\"> Siloed customer data, inconsistent reporting, poor forecasting<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><b>Solution:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Conducted a data audit and found 15+ disconnected sources<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Implemented a modern data warehouse<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Integrated CRM, POS, and e-commerce data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Created a governance committee and trained staff on data tools<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Used predictive analytics for inventory management<\/span><\/li>\n<\/ul>\n<p><b>Results:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">30% improvement in sales forecast accuracy<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">25% faster marketing campaign rollouts<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">3x growth in customer retention insights<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This illustrates how building a data strategy can transform operations and boost performance.<\/span><\/p>\n<h2><b>Common Pitfalls to Avoid in Your Data Strategy<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Even the best plans can fail if you fall into these traps:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">No executive sponsorship: Without C-suite buy-in, progress stalls.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Too tech-focused: Don\u2019t prioritize tools over outcomes.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Lack of change management: Culture change is just as important as system change.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data hoarding: More data doesn\u2019t mean better decisions. Focus on relevance, not volume.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">One-size-fits-all approach: Customize strategy to industry needs and business size.<\/span><\/li>\n<\/ul>\n<p><img decoding=\"async\" class=\"aligncenter wp-image-4889 size-full\" title=\"5 Mistakes in Data Strategy\" src=\"https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/5-Mistakes-in-Data-Strategy.png\" alt=\"5 Mistakes in Data Strategy\" width=\"1024\" height=\"768\" srcset=\"https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/5-Mistakes-in-Data-Strategy.png 1024w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/5-Mistakes-in-Data-Strategy-300x225.png 300w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/5-Mistakes-in-Data-Strategy-768x576.png 768w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/5-Mistakes-in-Data-Strategy-16x12.png 16w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/5-Mistakes-in-Data-Strategy-600x450.png 600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<h2><b>The Future of Data-Driven Strategy<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">As technologies like AI, IoT, and real-time analytics evolve, your data strategy must be flexible. Expect trends like:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Data Mesh: Decentralized data ownership by domain<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Privacy by Design: Embedding compliance from the ground up<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Automated Data Ops: Using AI to manage pipelines and detect anomalies<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI Governance: Ensuring transparency in ML-driven decisions<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Synthetic Data: For privacy-safe, accelerated model training<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Another rising trend is the data product mindset &#8211; treating data like a product with defined ownership, quality standards, and version control. This improves consistency and accelerates time to value.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-4890 size-full\" title=\"Future Trends In Data Strategy\" src=\"https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Future-Trends-In-Data-Strategy.png\" alt=\"Future Trends In Data Strategy\" width=\"1024\" height=\"768\" srcset=\"https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Future-Trends-In-Data-Strategy.png 1024w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Future-Trends-In-Data-Strategy-300x225.png 300w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Future-Trends-In-Data-Strategy-768x576.png 768w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Future-Trends-In-Data-Strategy-16x12.png 16w, https:\/\/symufolk.com\/wp-content\/uploads\/2025\/06\/Future-Trends-In-Data-Strategy-600x450.png 600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<h2><b>Final Thoughts: Make Data Your Competitive Edge<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">To build a successful data strategy, you don\u2019t need to be a tech giant. You just need alignment, vision, and the right execution framework.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Your data strategy should reflect your business DNA &#8211; where you are today and where you want to go tomorrow. When done right, it becomes the engine that powers innovation, efficiency, and growth.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">So whether you&#8217;re <a href=\"https:\/\/symufolk.com\/de\/developing-a-data-strategy-that-delivers\/\"><strong>developing a data strategy<\/strong><\/a> for the first time or refining your existing one, remember: the value isn&#8217;t just in the data. It&#8217;s in the strategy and data working hand in hand.<\/span><\/p>\n<h2><b>Frequently Asked Questions (FAQs)<\/b><\/h2>\n<p><b>Q1: What is the difference between a data strategy and a data strategy plan?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A data strategy is the overall approach, while a data strategy plan includes the detailed steps and roadmap for implementation.<\/span><\/p>\n<p><b>Q2: What is a data strategy example for small businesses?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A small retail store integrating sales and customer data to personalize offers and forecast inventory demand is a classic data strategy example.<\/span><\/p>\n<p><b>Q3: How long does it take to build a data strategy?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">It depends on your data maturity, but most companies see meaningful progress in 3 to 6 months if the right teams are involved.<\/span><\/p>\n<p><b>Q4: Why is data governance important in a data-driven strategy?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Without governance, data can be misused, duplicated, or non-compliant, leading to risks and inefficiencies.<\/span><\/p>\n<p><b>Q5: How often should a data strategy be reviewed?<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Ideally, review your data strategy quarterly, with a comprehensive annual update based on evolving business priorities and technology shifts.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>In today&#8217;s hyper-competitive landscape, data is more than just numbers &#8211; it&#8217;s the foundation of every successful decision, innovation, and customer experience. But without a data strategy, even the richest data pools can become ineffective. Whether you&#8217;re running a startup or a global enterprise, developing a strong, actionable data strategy is no longer optional &#8211; [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":4892,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"two_page_speed":[],"footnotes":""},"categories":[124],"tags":[134],"class_list":["post-4884","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-strategy","tag-successful-data-strategy"],"_links":{"self":[{"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/posts\/4884","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/comments?post=4884"}],"version-history":[{"count":1,"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/posts\/4884\/revisions"}],"predecessor-version":[{"id":4891,"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/posts\/4884\/revisions\/4891"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/media\/4892"}],"wp:attachment":[{"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/media?parent=4884"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/categories?post=4884"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/symufolk.com\/de\/wp-json\/wp\/v2\/tags?post=4884"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}