Today, organizations are making significant investments in big data projects, yet a staggering 85% fail to meet expectations according to McKinsey. Why do such a large percentage fail? The hardest transition to make is from a successful analytics or machine learning pilot to a full-scale deployment. As service breaches occur, SLAs slip, and a backlog of requests mount, companies often respond by deploying more admins, more data engineers or maxing out infrastructure spend.
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According to Gartner, organizations that use data virtualization will spend 40% less on building and managing data integration processes for connecting distributed data assets. Logical data warehousing has enormous potential for improving the efficiency of data access—the necessary first step in improving the efficiency of business. It has shown to be a more agile foundation for delivering and transforming data and makes it easy to quickly plug in new data sources.
Companies looking to implement self-service BI would do well to consider a logical data warehouse. It enhances the capabilities of traditional data warehouses, federates data from countless heterogeneous sources, provides this data to BI tools in real time, and allows BI stakeholders to use any BI tool they wish without creating data silos.
Traditional data warehouse implementations are a thing of the past. Limited by technologies that were available at the time of inception, traditional data warehouses are not designed to handle the velocity and variety of today’s rapidly growing data volumes.
New advancements in modern data platforms bring features and function that significantly improves performance and provide built-in intelligence that make old data warehouses obsolete.
Keep up with rapidly growing data volumes and leverage advanced analytics capabilities to build a modern data warehouse. Avoid business disruptions and seize the opportunity to modernize and transform your business.
Join us to discover how your organization can adopt the latest & greatest features of modern data warehouses and learn how to upgrade & migrate you data platform easily.
We are living in the era of data explosion and the proliferation of multiple information channels. Businesses must store, discover, access, and share massive volumes of traditional and new data sources. Data virtualization transcends the limitations of traditional data integration techniques such as ETL by delivering a simplified, unified, and integrated view of trusted business data.
Digital Transformation is becoming a mainstream in business. It is no longer a hype but now a necessity for a business to survive & thrive.
The CXO’s mindset on digital transformation may vary according to role but their innovation mindset is key in helping them drive adoption and have a data-driven organization.
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