Keywords: Analytics, Big Data, Business Intelligence, Cloud, SaaS, Predictive Analytics, Mobile BI, Data Warehouse
The devil is in the detail – every company has somewhat unique needs when it comes to analytics and business intelligence (BI) solutions. However, at the heart of any selection and procurement cycle lie a set of core technologies, processes, and best practices. ARC’s new selection guide provides that core foundation of selection criteria, to cut the time and cost of selecting analytics and business intelligence solutions.
In the past, BI solutions have been costly both to license and implement. However, new approaches to deployment – such as Software-as-a-Service, the cloud, and self-service – change that. “There’s enormous growth in demand for analytics. That demand is fuelled by three things. First, new approaches have lowered the barriers to entry. Suddenly, that long tail of dormant projects that could not be tackled cost effectively are now viable. Second, there’s growing awareness that analytics can provide a sustainable competitive advantage. Third, the emergence of the Industrial Internet of Things (IIoT) is starting to generate massive amounts of data that enterprises can exploit,” according to ARC Senior Research Analyst David White, the principal author of ARC’s “Analytics and Business Intelligence Technology Evaluation and Selection Guide”.
ARC’s guide covers all key areas of identifying and selecting an analytics or business intelligence supplier, including vendor background, software platform, technical support, solution implementation and features, as well as total cost of solution ownership.
For more information, please visit our Technology Evaluation and Selection section.