Data is one of the most important assets of any organization. Developing an infrastructure and practices to manage data is critical for organizations seeking to provide its end-users with reliable and timely information for educated business, organization, and/or policy decisions. Organizations of all sizes and industries recognize the importance of establishing a data management solution that produces a complete, unified, accurate and transparent view of their data.
NSI offers data management consulting services that are flexible and customized for each client’s unique objectives.  NSI consultants have implemented solutions utilizing leading data management tools/products such as Informatica, Ab Initio, Microsoft, and Teradata utilities. We offer consulting services that address the entire lifecycle of enterprise data management solutions including:

• Data Governance – The practice of organizing and implementing principles, policies, procedures and standards for the effective use of data
• Data Stewardship – Continual, day-to-day activities of creating, using, and retiring data
• Data Quality – An assessment of current state of data assets and ensure data is fit for its intended use
• Data Integration – Includes data acquisition (ETL/ELT) processing to combine transaction and master data to provide a consistent, meaningful, and trusted view of the data across business units and subject areas
• Unstructured Data Integration - Extract meaning from text using various linguistic techniques, adding structure to the unstructured data and integrating it with structured data for information analysis
• Data Security and Privacy – Information security, data privacy and regulatory compliance across data subject areas, including monitoring and audit capabilities
• Metadata Management – The people, processes and technical components necessary to ensure that metadata is easily accessible, consistent, current, accurate, timely and complete
• Master Data Management – A focus on reference and relationship data for product, customer, supplier and organizational data to ensure data consistency
• Data Architecture – The logical and physical data modeling and other activities needed to understand business information needs and design for effective database usage