This document discusses moving from big data to smart data. It summarizes three key points: 1) Big data focuses too much on volume and speed without ensuring useful insights. Smart data prioritizes understanding data quality and relationships to provide more value. 2) Organizations should first enrich data by adding metadata, interlinking related pieces, and providing a common layer before pursuing large volumes of raw data. 3) The document describes two success stories where Ontotext utilized semantic technologies and interlinked data sources to provide insightful analytics and answers to complex questions for clients in job market intelligence and asset recovery.