Improve the Quality of Your Mission-Critical Data

Without the proper solution to assess and monitor your data quality, costly consequences can occur such as failure to meet data privacy and security compliance requirements, inefficient data management, lack of real-time process execution and difficulty answering even basic business questions.

Our expert consultants provide a strategic approach to data quality to generate accurate and reliable business information that becomes an enterprise asset and addresses the problem of the high cost of low quality data.

Data Quality Services

Our experienced consultants help define the processes and remediations that comprise your data quality solution, and provide expertise in leading tools in the market such as Ab Initio DQE, Informatica DQ, Ataccama and Talend DQ for implementation.

  • Assessment: We assess the current data quality system and process through workshop sessions with SMEs and Business stakeholders to identify challenges, gaps and vision, which we use to produce an architecture design and solution accounting for platform, infrastructure and security requirements and prepare a comprehensive execution roadmap.
  • Discovery and Process Definition: We define the process for profiling, cleansing rules, standardization and validation, automated attribution and enrichment, automated classification and duplicate detection to build the overall implementation roadmap that meets platform, security and compliance requirements.
  • Implementation (Development and Deployment): We develop and integrate a solution for cleansing, standardization, enrichment and business transformation that can manage exceptions seamlessly as part of daily business process, and build all technical repositories, reporting and monitoring via scorecards.

Our methodology fully integrates into existing functional processes at all stages of the software development lifecycle, and uses a phased approach that starts implementation through integration with ETL by business unit or line of business.

Bitwise Data Quality Architecture

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Bitwise Advantage

  • Less time needed to reconcile data
  • Fewer delays in deploying a new system
  • Greater confidence in the integrity of the system
  • No revenue loss due to poor data quality
  • Reduced costs incurred by duplicate data
  • Higher customer satisfaction
  • More stringent compliance

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