DataDirect's Hybrid Connectivity Services can enable your cloud or on-premises application for open analytics via standard SQL or REST APIs.
Open analytics is the integration of an open data access layer into business applications (such as CRM, ERP, Finance or HR) to be directly consumed by external analytics tools and popular programming languages. With multiple analytics strategies becoming available, the market trends point to an expansion in open analytics capabilities.
There is significant demand today for open analytics from enterprise business intelligence (BI) and data management platforms, and demand will continue to increase with the growth of the advanced analytics market. Beyond that, there are an increasing number of data engineers and data scientists using a variety of platforms and advanced analytics languages such as SAS, R, Python and Java, as well as frameworks such as Hadoop and Spark. All of these combined trends create significant demand for a “bring-your-own-analytics” (BYOA) capability to supplement embedded analytics in business applications.
Data API Management is different from API management. As enterprises rapidly move towards open analytics, application level APIs are not good enough. Data engineers, data scientists and business analysts demand access to raw data via standard interoperable interfaces in order to perform complex analytics. A Data API Management layer provides standard SQL (ODBC, JDBC) or REST (OData) interfaces to support the needs of this new technical data consumers. This is in part what is driving the trend around open analytics strategies to expose data APIs. More on Data API Management
Although standard interfaces are used more often for data integration projects (60%), app development (51%) and data management (44%), the total share of respondents using reporting and analytics tools is 63%. Adoption of analytics is growing as businesses use data to drive decisions. This trend is giving rise to open analytics as organizations seek to query cloud applications with their favorite analytics tool or programming language.
Cloud application vendors are under pressure to provide multi-faceted support for analytics. Today's customers expect more than just static reports or dashboards; they want the ability to create and publish their own reports and dashboards and perform sophisticated analytics on data. In this paper, the authors clearly explain embedded analytics, open analytics and how they can co-exist in a hybrid scenario.
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