Big Data Analytics in the Cloud: Empowering Citizen Data Scientists
Combine the benefits of advanced analytics with the cost savings and convenience of a managed service, making it even easier to access, blend and model big data
Digital leaders know that to unlock the value in data, enterprises require a solution flexible enough to integrate everything from ERP and CRM data, to social media, survey results, campaign responses and external market data. Armed with this intelligence, data-driven organizations can find a competitive edge.
So why aren’t more companies doing it?
According to a recent survey1, the most common barriers preventing organizations from implementing Big Data Analytics are data integration complexity, lack of skilled Big Data Practitioners, and agility.
OpenText Big Data Analytics in the Cloud bypasses all of these barriers, offering implementation and full management in the OpenText Cloud, without the need for additional IT resources or infrastructure. Analytics as a Service combines the benefits of advanced analytics with the cost savings and convenience of a managed service, making it even easier to access, blend, explore, and model big data quickly and effectively.
This ability to store and retrieve data at vast scale and high speed, and make it available to the entire business, is key to monetizing Big Data assets.
It’s time to bypass the shortage of data scientists and empower a new army of citizen data scientists with the right solution to do their jobs.
Read the 451 Report: OpenText targets Citizen Data Scientists to learn more about how OpenText helps companies overcome their Big Data challenges.
1 TDWI Best Practices Report, Predictive Analytics for Business Advantage