On Analytics, Data Platforms and Smart Applications
Exploit cloud advantages and data from on-premises, external sources as well as cloud stores to drive deeper insight, innovation and new business models.
The center of data gravity is shifting outside the walls of the enterprise. In fact, Constellation estimates that by 2020, at least 60 percent of the data that organizations consider to be mission-critical will live outside the four walls of the enterprise.
The move to cloud computing is the leading contributor to this trend, and it will change how organizations handle business intelligence (BI) and analytics. But don’t make the mistake of thinking that cloud-based BI and analytics options are just for data that’s created in the cloud. Rather, these systems are ideal for the increasingly common scenario in which organizations are gaining insight from data from all over the place.
Yes, it will be a hybrid world, but that’s not a binary choice between data that’s in your corporate data center and data born or uploaded into your cloud stores. Some of the data you need will be in software-as-a-service applications, some in partner networks, some in social networks, some in mobile apps running on cloud infrastructure, and some in third-party sources, such as weather feeds, demographic enrichment sources, and government data sets.
As I explain in my latest report, Three Imperatives for Innovating with Cloud BI and Analytics, the opportunity is to take advantage of cloud flexibility, ubiquity and architecture to tap into many sources, support important new analyses and surpass the old barriers of BI. That advantage isn’t just reduced initial cost and administrative overhead (you can achieve that through hosting of conventional software, but that’s not what Constellation would call true, multi-tenant cloud BI and analytics).
The report addresses three priorities that companies should pursue as they move toward next-generation deployments:
The 21-page report includes two figures, a table depicting Constellation’s view of the evolution from mass personalization systems to cognitive intelligence systems, and a listing of five styles of cloud-based BI and analytic products and representative vendors. To learn more about the report and its findings and recommendations, download this free excerpt, which includes the table of contents, executive summary and introductory section.