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The Accenture Insights Platform powers managed analytics-as-a-service capability

A 451 Research Report

The 451 Take

Accenture is taking a similar route to many of its competitors in the global systems integration space in developing an asset-based approach to providing managed analytics as a service for customers. However, its operational technology stack is particularly good, sitting as it does on top of the Accenture Cloud Platform. But the real strength of AIP lies with its applications design environment, which provides a way to build, deploy and run analytics apps on top of the stack. AIP also comes with a library of solution accelerators and apps that is better stocked than current offerings from most of its competitors. Accenture can deploy AIP in the cloud or on the customer’s premises. This asset should win the company a good share of the advanced analytics market if it can a) get its sales approach right and b) ensure that people and processes are in place to support ongoing lifecycle management for the asset.

READ THE FULL REPORT FROM 451 RESEARCH [PDF]

STRATEGY

AIP has a core analytics engine making use of Hadoop, as well as an execution engine for data ingestion and an applications design environment that originally came to Accenture via the acquisition of Italian i4C Analytics in April 2014. More than 90 apps are available, and this number is rising as the company develops more apps to satisfy customer demand across its business. Apps can be run on their own, too, in addition to being run through AIP. With AIP, Accenture goes to market as a single entity that can both write and use apps for clients and run them in a cloud infrastructure such as AWS, Azure and Google.

The asset supports Accenture in capturing data (batch or streamed), ingesting the data and storing it (in RDBMS, document stores and data lakes). AIP is language agnostic and so programmers with a variety of language skills can use it whether they develop in R, Julia, Python or SAS and SPSS. Visualization of the data can be delivered in traditional BI formats or via Tableau or QlikView.

The real gem in the AIP, however, is the applications design environment that enables programmers to design, build and run analytics applications. The applications design environment has more than 75 solution accelerators that can be used for repeatable use cases and each one has been validated in order to improve time to results.

READ THE FULL REPORT FROM 451 RESEARCH [PDF]