2017数据基因指数报告.pdfVIP

D ATA G E N O M I C S I N D E X A report on the true makeup of storage environments from the experts in unstructured data. NOV An organization’s ability to develop and execute against its digital strategy is key to succeeding in the modern era. Companies leading the way into digital transformation have profit margins up to 57% higher than those who choose to remain in the past.1 Digital transformation requires organizations to harness the power of their information in a number of new ways. To do so, they need to have a clear understanding of the data they have under management. At this time, organizations are still wrestling with an ever-growing and ever-evolving data estate. As organizations grow and redefine their business roadmaps, some data loses relevance—it goes dark. Dark data directly and indirectly impacts performance, revenues and business visibility. This underscores the importance of addressing behavioral trends within the corporate data universe. – 2 –– 2 – The Data Genomics Project is an initiative designed to question the status quo in data management. Veritas founded this initiative to bring a community of like-minded data scientists, industry experts and thought leaders together with the purpose of uncovering the true nature of the unstructured data that we create, store and manage. The primary output of the Data Genomics Project is the annual Data Genomics Index (DGI)—a benchmark report on the composition of real storage environments. In working with 86% of the Fortune 500 and backing up, archiving or analyzing exabytes of data for customers, Veritas is in a unique position to understand the defining characteristics of a typical enterprise data estate. Our analysis focuses on anonymized metadata aggregated from Veritas Information Map™. Through this analysis, we can surface accurate details about the real composition of data environments. Compared to the 2016 DGI, this