Thursday, September 27
Save Your Seat
Nasuni unlocks the value of your unstructured data with speed and flexibility.
Up to 80% of the data in today’s modern enterprise is unstructured. Images, video, IoT machine data, notes, reports and other types of files are accumulating far faster than structured data.
Smart enterprises know that capturing, classifying, and analyzing this data can lead to deeper insights about customers, production processes, and new market opportunities. However, storing this data is an enormous challenge – some IoT processes generate more than a petabyte (PB) a day. Accessing this data is expensive and slow – an unwanted drag when you want fast analysis. And moving the data to different analytics engines (e.g. IBM Watson) is simply too difficult.
Nasuni makes manipulating large subsets of unstructured data for context-driven analysis easy, fast, and cost-effective. With no limits on file size, total file capacity, or total number of files, and no constraints on file sharing over long distances, Nasuni accelerates the use of analytics tools and processes. Building a product in Asia, but need analyze production data in Europe? Not a problem.
In addition to handling large files efficiently, Nasuni also helps you create subsets of them. Since Nasuni keeps an unlimited history of file versions, it’s easy to build custom data subsets using files with a specific time stamp, content type, or other attribute.
Nasuni supports your iterative data analytics processes with these features:
Remove barriers to collecting and analyzing IoT machine data and other data subsets to uncover new revenue opportunities.
Analyze data faster to stay ahead of the competition and make faster, more accurate decisions.
Minimize the IT cost and administrative overhead needed to collect, store, protect, and access data used for analytics.
Detect potentially fraudulent activity and protect physical, financial and intellectual assets from internal and external threats using statistical, network, path, and big data methodologies.