{"id":4347,"date":"2022-02-14T09:01:43","date_gmt":"2022-02-14T08:01:43","guid":{"rendered":"https:\/\/www.pue.es\/blog\/10-factores-abordar-exitosamente-proyecto-big-data\/"},"modified":"2024-02-06T18:25:39","modified_gmt":"2024-02-06T17:25:39","slug":"10-key-factors-to-successfully-undertake-a-big-data-project","status":"publish","type":"post","link":"https:\/\/www.pue.es\/blog\/en\/10-key-factors-to-successfully-undertake-a-big-data-project\/","title":{"rendered":"10 key factors for successfully managing a Big Data project"},"content":{"rendered":"

Data as the spearhead in Digital Transformation processes of companies<\/h1>\n

In this post, we explore the key factors to consider if you are planning a Big Data project for transformation, modernization, or innovation where data is involved.<\/p>\n

Key factors in the assessment phase<\/h2>\n
    \n
  1. Clearly define the objective.<\/li>\n
  2. Find good partners for the journey.<\/li>\n
  3. Have a digital transformation or modernization strategy in place.<\/li>\n<\/ol>\n

    Key factors in the definition and launch phase<\/h2>\n
      \n
    1. Accurately identify the use case or cases, and rigorously size them.<\/li>\n
    2. Have the right team with the necessary knowledge.<\/li>\n
    3. Understand the infrastructure available at the start.<\/li>\n
    4. Know the data sources available.<\/li>\n
    5. Identify what data we have and analyze its quality.<\/li>\n
    6. Be aware of external integration and exploitation systems.<\/li>\n
    7. Design a roadmap to achieve the goal.<\/li>\n<\/ol>\n

      Challenges made manageable by Big Data and Cloud Technology<\/h2>\n

      There are multiple use cases and business objectives whose achievement necessarily involves a process of digital transformation through data and cloud solutions. This applies to both innovation and modernization projects:<\/p>\n

        \n
      1. Modernizing infrastructures with Big Data tools<\/li>\n
      2. Total or partial migration of data centers to public Cloud environments<\/li>\n
      3. Speeding up time to market<\/li>\n
      4. Creating new business lines<\/li>\n
      5. Providing more information on available data for strategic decision-making<\/li>\n
      6. Generating new sources of revenue<\/li>\n
      7. Cost savings<\/li>\n
      8. Modernizing processes<\/li>\n
      9. Replacing legacy components<\/li>\n
      10. Automation<\/li>\n<\/ol>\n

        Your best ally in data transformation challenges<\/h2>\n

        PUE’s technological stack and our specialization in Big Data, Cloud, and DevOps<\/strong> allow us to respond and solve all fronts: both in terms of infrastructure and development, solutions, and a multitude of use cases posed by our clients or new cases that we identify and propose as a result of data analysis. Our deep knowledge in data and cloud solutions, working with the most cutting-edge technologies and solutions, enables us to successfully face and resolve any challenge where data plays a key role.<\/p>\n

        We work hand in hand with industry leaders in Big Data and Cloud. Recognized as a Cloudera Platinum Partner, the highest level within their partner program, and Google Cloud partners since 2015 (Service & Sell Partner for SEEMEA of Google Cloud Platform).<\/p>\n

        We rely on DataDog as a leading solution for extreme monitoring and Data Robot for the more analytical part (Data Science), as an automated AI and Machine Learning platform.<\/p>\n

        With us, you’ll find a collaborator who will adapt to your business and needs. With a 100% certified expert team and a 360\u00ba service. We accompany you throughout the entire life cycle of your Big Data and Cloud implementation.<\/p>\n

        To learn more about how we can help you in your data-driven modernization process, we recommend watching the interview with our CTO, Sergio Rodr\u00edguez de Guzm\u00e1n:<\/p>\n