Data Quality



To maximize the value of data lakes, organizations need the ability to ensure the data they have brought in from across the enterprise has the highest possible level of integrity, accuracy, and completeness. ValueData enables enterprises to apply data quality capabilities, including cleansing, standardization, matching, validation, and enrichment with MapReduce, Spark or both. The result is the most dependable data for critical business initiatives like MDM, and business analytics with leading next-generation analytics tools. The new product enables enterprises to create a single, accurate and enriched 360-degree view of critical enterprise-wide data in Hadoop clusters running either MapReduce or Spark. Users can consistently enhance the quality of that information in the data lake in both Big Data computing frameworks, on-premise or in the cloud, elevating trust in data to a gold standard and maximizing its value in driving competitive advantage.