Data can be inconsistent, ambiguous, incomplete, and difficult to handle and process. Inconsistent data results in faulty analysis, including data science activities. Duplicate and inconsistent redundant data can result in substantial costs. We can help match and transform your dataset(s) using our proprietary tools with quick turnarounds. We can accept data in all kinds of shapes, sizes, and formats, including multiple files in multiple formats and use our algorithms, knowledge bases, and Machine Learning capabilities to identify duplicate/redundant data within a single data source, or to match inconsistent data cross multiple data sources - whatever your specific requirements are.

With the data files that you send to us, or that we extract on your behalf from Cloud sources, we will use our iterative processes and data-specific matching APIs to identify and, if desired, eliminate duplicate/redundant data or consolidate data such as customer or prospect records. We can also use clustering IDs to identify matching clusters so you can process with your own business rules. We can match data across different and heterogeneous data sources, including matching your data with third-party datasets to create new data sources and databases. We can standardize data for more accurate analytics, re-engineer data, build new databases, and provide other data enrichment and validation services.