Data Cleansing and Data Analysis, Data Scrubbing and Data Enrichment Services

MIDAS ensures your data is relevant and clean and offers Data cleansing or scrubbing for accurate organizational data enrichment.

MIDAS Data cleansing or scrubbing offerings for data enrichment can help improve the quality of your organizational, Master or Meta data. This includes aggregation, organization, and cleansing of data. These data cleansing/scrubbing and enrichment offerings from MIDAS can ensure that your databases – meta data or master data and material files, product catalog files, naming convention and addresses, item information etc. - are current, accurate and complete.

Organizations can transform and combine disparate data, remove inaccuracies, standardize on common values, parse values and cleanse dirty data to create consistent, reliable information.

Data cleansing:

Often, the existing data has no consistent format being derived from many sources. Or it contains duplicate records/items and may have missing or incomplete descriptions. MIDAS data cleansing process integrates and fixes de-duplication, common data anomalies and errors. The data is normalized so that there is common name standardization of product category and vendor items and so on, applicable to various situations in various organizations and businesses.

Data scrubbing, also called data cleansing, is the process of rectifying or removing data in a database that is incorrect, incomplete, or duplicated. An organization in a data-intensive field like life sciences, publishing, research organizations, infrastructure industry, manufacturing, technology organizations and various other verticals across the globe use MIDAS for data cleansing/data scrubbing to systematically examine data for flaws by using rules, algorithms for data quality and scrubbing component that are capable of correcting a number of specific types of mistakes such as missing, inconsistent or duplicate records.

MIDAS Speeds up the delivery of credible information in its data Cleansing process

• MIDAS speeds up the delivery of credible information by embedding data quality into batch and real-time processes.
• Reduces costly errors by preventing the propagation of bad data and correcting mistakes in your proprietary databases.
• Keeps data current and accurate with regular cleansing with systematic workflow.
• Standardizes data from multiple sources and reduces redundancy in organizational data to support more accurate reporting, analysis and strategic business decisions.
• Adds value to existing data by generating and/or appending information from other sources.

Organizations across multiple industries can now save millions of dollars wasted on unclean data; MIDAS helps solve data completeness, accuracy and integrity problems. MIDAS integrates various applications and databases with its proprietary tools.