Birst Networked approach to BI and Analytics enables a single view of data, eliminating data silos. Decentralized teams and individual users can augment the corporate data model with their own local data, without compromising data governance. Consistency comes from a unified semantic layer, which maintains common definitions and key metrics, no matter where users sit.
QlikView Business Discovery platform does away with expensive and outdated business intelligence systems that constrain the end user’s analytic creativity. Instead, this top business intelligence tool leverages the power of patented, in-memory cloud technology to aggregate, organize and present data to employees throughout the organizational hierarchy.
Aptean Ross EPM Business Intelligence delivers out-of-the-box solutions that help organizations use their existing enterprise data to improve visibility into their business operations.
SAND Nucleus CDBMS is a central database management system that has a big data analytics platform designed with three concepts in mind: integration, performance and scalability. The platform allows users to work with the standard ODBC/JDBC interface, which is scalable for both users and data.
There is no denying big data has become mainstream, or that it is now a ‘big deal’. What is perhaps most important is how it can generate value for specific markets and businesses – especially in the mid-market where business may be caught in between considering large scale IT operations, undergoing rapid change and deciding on strategic investments in IT to support growth and transformation.
How many levels are you away from predictive analytics? This solution is a great way to marry current and historical data to predict future business trends, which can in turn help you optimize your business in virtually every facet, improving your bottom line.
No matter what your level of analytics implementation is now, there is always room for improvement. Whether it is your strategy, intelligence or technology itself, analytics is more than just tracking code and conversion numbers. At the heart of analytics lies the foundation of your business intelligence. The more you have, the more you know.
Riverlogic Prescriptive Analytics is a big data analytics software built for the cloud on Microsoft Azure designed to deliver a different perspective of prescriptive analytics. The platform allows users to work with an end to end prescriptive analytics-based planning and performance management.
If you’ve been saying (and typing) the phrase “the problem with Big Data,” you’ve been looking at it all wrong. Sure, it may seem like a daunting task: harnessing, aggregating and organizing your data, then digging into mining + analysis. But don’t worry; there is plenty to love about Big Data.
Sisense delves into the architecture of analytics solutions to help businesses learn to recognize the key features of different technologies and select one that suits their needs best. This white paper touches on everything from data size, speed, and scalability to provide an overview of the most important considerations to keep in mind when selecting a business analytics technology.