Data campaign

IDC White Paper | The Business Value of AWS Data Lakes, Analytics, and ML Services 3 IDC White Paper, Sponsored by Amazon Doc. # US46241320 Business Value Highlights 415% five-year ROI 9-month payback period $6.15M average annual benefit per year organization 48% reduced total cost of operations 42% reduction in IT infrastructure costs 4.1M additional new revenues gained per year 17% more efficient analytics teams 79% reduced times to run queries 37% increased number of queries run 76% reduction in unplanned downtime Executive Summary IDC predicts that by 2022, more than 46% of global GDP will be digitized, with growth in every industry driven by digitally enhanced offerings, operations, and relationships. Successful digital transformation relies on converting data into actionable insights, and this increasing dependence on data-powered insights is contributing to a new era of the data age. Data is rapidly becoming a strategic asset for every organization. Businesses want more value from their data that is coming from newer sources, is increasingly diverse, and is growing exponentially. These digital transformation (DX) initiatives will be supported by analytics and artificial intelligence/machine learning (AI/ML) capabilities that are used by many users within an organization. Traditionally, businesses used siloed data warehouses (for example, one for ERP systems and another for sensor and social media data) as repositories of integrated data from one or more disparate sources, and as a system used for reporting and data analysis for different groups. But as traditional data warehousing (DW) approaches unfortunately don't scale, organizations are now moving to data lake architectures that extend or evolve traditional data warehousing, store any data in any format, are durable and available, and can scale to exabytes in size. In addition, businesses are looking for data lake architectures that are secure, compliant, and auditable and can run any type of analytics and ML services. To support these changing customer requirements, AWS provides open, secure, scalable, and cost-effective infrastructure that enables easy-to-build data lakes and analytics. Businesses can use the right tool for the job without needing to move or transform data for different analytics approaches. AWS provides a comprehensive set of tools that goes beyond standard security functionality such as encryption and access control to proactive monitoring and unified management of security policies. In order to validate the benefits of the AWS solution, IDC interviewed 11 organizations that use AWS data lakes, analytics, and machine learning services. The survey data obtained and applied to IDC's Business Value model showed that study participants are realizing significant value with AWS. IDC calculates that study participants will achieve average annual benefits of $6.15 million per organization ($100.4K per business application), which would result in a five-year return on investment (ROI) of 415% by: Providing organizations with the benefit of agile, scalable, cost-effective, and high-performing data lakes, analytics, and machine learning services Reducing the overall time required to manage and support data lakes, analytics, and machine learning activities Fostering more efficient analytics teams through better access to data and analytical tools Giving organizations the ability to run more analytics queries while at the same time reducing the time required to complete each query

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