Consolidating accessing analyzing unstructured data

Unstructured data represents 85% or more of corporate data.Textual unstructured data includes word processing, presentations, video and audio files, email, chat, and social media postings.Analyzing unstructured data is a very different story.When companies want to analyze unstructured data, they need specialized tools to do it.Whatever method of deployment you choose, if you’re working with on-premise you will need to scale for massive data volumes and high performance.You will also need both availability and data durability.

Correlate data based on time, external data, location, sub-searches or joins across multiple data sources.Machine data includes sensor data, satellite imagery, digital microscopy, sonar explorations, and much more.Thanks to massive data, many different file types, and high creation speeds, analyzing unstructured data is very challenging – and very worthwhile.The search assistant offers type-ahead suggestions and contextual help so that you can leverage the full power of the Search Processing Language (SPL™).Analyze all data by drilling down, across and back in time quickly using ad-hoc search and timeline controls to quickly reveal trends, spikes and anomalies.

Leave a Reply