Navigating the Complexity of Big Data Transformation
Big data is here and taking enterprises by storm. Companies across industries recognize that drawing insights from the myriad sources of data is a critical imperative to win, serve, and retain customers. Unfortunately, access to data does not immediately equal access to insights. Bridging that gap requires large-scale technology and process changes, including modernization of legacy systems and the adoption of platforms that connect data storage systems to systems of insight.
In February 2017, Rackspace and Intel commissioned Forrester Consulting to examine how organizations are working to derive business value from big data. The research supporting this paper explores the impact of cloud adoption and the modernization of legacy architectures, databases, and applications as enterprise organizations work to become more agile.
For this research, Forrester conducted a quantitative online survey across 314 senior corporate managers, IT managers, and senior data analytics leaders involved in big data decisions and strategies from the US, the UK, Germany, the Netherlands, and the Nordic Region. In addition, we conducted six in-depth, qualitative interviews.