We’re coming to the end of our Re:Adventure series, which means that it’s time to reflect on your journey so far. What is the best way to reflect on the past and assess what you’ve accomplished? Diving into your business intelligence analytics! Data analytics can help you understand trends and develop insights at the end of your campaign. Utilize top BI software solutions to get the right data.
Sisense offers any sized business the chance to generate high-quality business intelligence without hardware-intensive applications, IT specialists, prior programming knowledge or prior BI experience.
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.
Today customer data is the number one catalyst for big data initiatives – and marketers have the most to gain from better use of customer data.
The Big Data boom has called many companies’ attention to the wealth of information that can be gleaned from user activity online. But once you’ve pulled together all that raw data, what do you do with it? This week Cloudmeter rolled out two new products – Cloudmeter Insight and Cloudmeter Stream- to help companies turn their data into something more useful. We sat down with CEO and co-founder Mike Dickey and COO Ronit Belson to talk about their new products.