Data volumes are growing and the pace of that growth is accelerating. Sensor data, log files, social media and other sources have emerged, bringing volume, velocity and variety of data that far outstrips traditional data warehousing approaches. Forward-looking organizations are analysing these new sources in creative ways to achieve unprecedented value and competitive advantage.
While there are interesting technical challenges associated with integrating and analysing all of this data, organizations should first take the time to identify and crystallize the right use case or use cases for their own business needs.
Our solutions not only help take this critical first step but also help to get key business insights in short term by implementing a analytics framework for structured and unstructured data management.
Predictive maintenance Customer segmentation Weather forecast
Behaviour analysis Waste management Early disease detection