Data intelligence helps organizations create new customer experiences, accelerate operations and capitalize on new market opportunities. It also gives them the agility to pivot when the unexpected strikes. \n\nWhile becoming data-driven makes great sense, some organizations struggle to put it into practice. Adopting a company-wide data culture can be particularly challenging, requiring companies to overhaul how they operate from the board room to the shop floor. On the technical side, IT teams must liberate and unify data long segregated in departmental silos so IT can provide broad accessibility and comprehensive analytics. \n\nSome businesses have stumbled in their data transformation initiatives, causing them to question whether the effort is worth it. Recent research would suggest that it is worth it: IDC estimates that organizations that excel at leveraging data in decision-making enjoy more than three times greater revenue and nearly two-and-a-half-times greater profit than those who don\u2019t.\n\nSuccess Factors\n\nGenerally, organizations that succeed with data-driven initiatives have built and executed a cohesive data strategy. That strategy is reflected in how the business operates, which requires buy-in at executive levels and buy-in across departments and business units. The goal now is to have more data to base decisions on for greater accuracy, rather than relying solely on collective experience.\n\nExecuting the strategy necessitates aggregating data and expanding access company-wide for analytics to expose bigger-picture insights and trends. The combined data serves as a single source of truth for creating corporate value that runs the gamut from gauging customer sentiment to troubleshooting IT snafus to averting supply-chain delays. \n\nThe Role of the Data Lakehouse\n\nA data lakehouse is one solution that organizations can use to help break down data silos and use as a foundation for an intelligent data ecosystem. It combines a data lake\u2019s ability to store data in any format\u2014structured, semi-structured, and unstructured\u2014with the performance, security, and governance strengths of a traditional data warehouse. \n\nThe lakehouse provides central access to data as-is, independent of format. Organizations can run a variety of analytics on it to improve decision-making, from dashboards and visualizations, real-time analytics and machine learning. Open interfaces enable data scientists, business analysts and others to use their favorite analytics tools to access and analyze lakehouse data.\n\nBuilding a Modern Data Ecosystem\n\nWhile becoming more data-driven is a formidable undertaking, it\u2019s becoming a competitive requirement in the digital economy. The same IDC report found that more than 84% of teams who excel at using data in decision-making get answers in minutes or hours compared to only 3% companies who don\u2019t. \n\nCulturally, companies need to commit to using data to drive decisions. At the IT level, they require unified data infrastructures, built around a data lakehouse, with the following characteristics:\n\nWith the Dell Validated Design for Analytics - Data Lakehouse, organizations can stop chasing data and start using it to create value for the organization instead. \n\nWant to learn more about data lakehouses and how to succeed with your data-driven initiative? Read the Dell Validated Design for Analytics \u2013 Data Lakehouse Solution Brief. \n\n***\n\nIntel\u00ae Technologies Move Analytics Forward\n\nData analytics is the key to unlocking the most value you can extract from data across your organization. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that\u2019s optimized to work with the software you use.\n\nModern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? There\u2019s always room to grow, and Intel is ready to help. With a deep ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers in every industry. Find out more about Intel advanced analytics.