Big data analytics describes the process of uncovering trends, patterns and correlations in large amounts of raw data to help make data-informed decisions. Big data has been a buzz word since the early 2000s, when software and hardware capabilities made it possible for organizations to handle large amounts of unstructured data. This interesting topic came to us from The Conversation in their article, “How we communicate, what we value – even who we are: 8 surprising things data science has revealed about us over the past decade.”
Data-centric discoveries have resulted from big data analytics. The ability to analyze more data at a faster rate can provide big benefits to an organization. Big data analytics is important because it lets organizations use colossal amounts of data in multiple formats from multiple sources to identify opportunities and risks, helping organizations move quickly and improve their bottom lines.
At the end of the day, the data needs to be findable and, that happens with a strong, standards-based taxonomy. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and associated rule bases for machine-assisted indexing.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
