by Daniël Karo (Notilyze)
The democratization of data
Today, data is generated at an ever-increasing pace. More data was created during the last two years than in the entire history of humankind, and experts estimate that this growth will keep increasing in the foreseeable future. At the same time, the available methods to extract value from data are growing as well. Add to this the ever-growing advantage potential for organizations, and it soon becomes evident why so many companies are looking to become data-driven. So the question is how and where to start?
"Many organizations aspire to become data-driven in order to operationalize their decision making"
Transition to a new model
Many organizations aspire to become data-driven in order to operationalize their decision making. However, most organizations do not know how or where to start this journey. So why is this challenging? The market offers a lot of great analytics tools, after all. While this is true, the required IT infrastructure and analytics software involve hefty investments with a long time to ROI. In addition, Data Scientists are needed, but skilful people are hard to find in today's economy. This leads to the paralysis of data-driven strategies across many organizations. Companies which end up investing in on-premise analytics solutions find themselves in endless loops without any value.
Today's "as a service" market spans across many products and services, so why not consume your insights as a service as well? This is where Notilyze's unique Analytics as a Service concept comes into play.
Analytics as a Service
Notilyze democratizes analytics for all employees in every department and organization, regardless of industry or size. We do this with our novel Analytics as a Service concept which combines three elements: a robust cloud infrastructure with proven 24/7 support, academic Data Scientists with vast experience, and market-leading analytics software from SAS. We help you extract valuable insights from your data and use it to make concrete improvements in your business processes - fast and without the need for large up-front investments.
Get in touch with #Fintag to learn how the Analytics as a Service concept can help your organization become data-driven fast.