Business Intelligence
Overview
Data Quality and Business Intelligence
Data which is inaccurate, incomplete, inconsistent or out of date can seriously impact business intelligence efforts. Poor data quality can undermine the success of what would otherwise be well-developed applications by stripping the business value from the information.
Whether the data depicts inventory, sales, suppliers, financials or customer metrics, without correct, comprehensive and timely data that accurately reflects an executive’s universe, BI systems will ultimately fail. As the Achilles’ heel of BI, data quality has proven time and time again to be an indispensable step in ensuring the ultimate success of multiple enterprise systems – most particularly business intelligence.
Data Quality is maintained by cleaning or scrubbing by detecting and correcting or removing corrupt or inaccurate records from a record set, table, or database.
SoftSol makes a more strategic approach to data quality and makes both possible and cost-effective.
SoftSol applies Business Intelligence, which are data-driven, as set of concepts and methods to improve business decision making by using fact-based support systems. SoftSol uses Business Intelligence interchangeably with query tools and executive information systems.
Data which is inaccurate, incomplete, inconsistent or out of date can seriously impact business intelligence efforts. Poor data quality can undermine the success of what would otherwise be well-developed applications by stripping the business value from the information.
Whether the data depicts inventory, sales, suppliers, financials or customer metrics, without correct, comprehensive and timely data that accurately reflects an executive’s universe, BI systems will ultimately fail. As the Achilles’ heel of BI, data quality has proven time and time again to be an indispensable step in ensuring the ultimate success of multiple enterprise systems – most particularly business intelligence.
Data Quality is maintained by cleaning or scrubbing by detecting and correcting or removing corrupt or inaccurate records from a record set, table, or database.
SoftSol makes a more strategic approach to data quality and makes both possible and cost-effective.
SoftSol applies Business Intelligence, which are data-driven, as set of concepts and methods to improve business decision making by using fact-based support systems. SoftSol uses Business Intelligence interchangeably with query tools and executive information systems.
Benefits:
SoftSol’s Data Cleansing Methodology:
Identify likely prospects
Preserve data integrity
Maintain high standards of data quality
Correct, restructure and enhance data
Make data more effective, accessible and accurate
Reduce job processing time
SoftSol’s Data Cleansing Methodology:
© SoftSol 2009