Ensure control and compliance of your sensitive data.
Big data solutions deal with massive amounts of data generated by organizations. Service providers use tools and technologies such as Hadoop, Spark, and NoSQL to manage, store, and analyze big data.
Big Data solutions help detect customer sentiment about products or services of an organization and gain a deeper, visual understanding of the multichannel customer journey and then act on these insights to improve the customer experience.
Big data can help you address a range of business activities, from customer experience to analytics. Here are just a few.
The amount of data matters. With big data, you’ll have to process high volumes of low-density, unstructured data. This can be data of unknown value, such as Twitter data feeds, clickstreams on a web page or a mobile app, or sensor-enabled equipment. For some organizations, this might be tens of terabytes of data. For others, it may be hundreds of petabytes.
Velocity is the fast rate at which data is received and (perhaps) acted on. Normally, the highest velocity of data streams directly into memory versus being written to disk. Some internet-enabled smart products operate in real time or near real time and will require real-time evaluation and action.
Variety refers to the many types of data that are available. Traditional data types were structured and fit neatly in a relational database. With the rise of big data, data comes in new unstructured data types. Unstructured and semi structured data types, such as text, audio, and video, require additional pre-processing to derive meaning and support metadata.
