This whitepaper covers six guidelines
product leaders should explore during their embedded analytics evaluation:
1) Data Access, Integration, and Management, 2) End User Analytics Functionality, 3) Embedding Analytics into the Application User Interface, 4) Deployment and Security, 5) Extensibility, Customization, and Transparency, and 6) Services, Support, and Vendor Experience.
Key requirements and why they matter for each of the six guidelines for embedded analytics evaluation
Why blending multi-source data in a controlled matter is important
Why business users must be empowered to create and edit reports, visualizations, and analysis without IT assistance
Why a solution must work with multi-tenant architectures
Why collaborative architecture sessions between vendor and customer are necessary
"Key requirement - Does the vendor provide an open architecture that your team can extend and customize without having to wait for the vendor’s future releases? For example – to develop your own plugins for new data visualizations, analysis, or data integration workflows. Why it matters – Your embedded requirements are not only unique but may change over time as your offering evolves. Open analytics architecture helps ‘future proof’ your solutions."