Data Quality at Source
Organizations of all sizes recognize the importance and value of having high quality, trusted data in their business systems. Many have invested heavily in technology and processes designed to mitigate data quality issues. But most of today’s data quality solutions are designed to ‘inspect and correct’ data long after it has been created. These systems can be effective in delivering high quality data for downstream business intelligence and analytics; however they do nothing to ensure high quality data in upstream operational systems. Moreover many data quality problems cannot be fixed downstream.
Ultimately there is no replacement for capturing the right data in the first place. Clavis Data Steward is the leading Operational Data Quality problem prevention solution delivered as Software as a Service.
Data and information are at the heart of a successful organization: underpinning day-to-day operations and business decisions. In a world of financial uncertainty, growing competition, more demanding customers and increased regulation the focus on pre-emptive Operational Data Quality and Data Quality Governance is all the more important. Organizations striving to drive down costs and increase productivity can only do so if they have the highest quality data.
Operational Effectiveness: In large enterprises significant numbers of data administration resources are devoted to manual review and rework of new master data provided by the business. This overhead can be minimized or even eliminated by
applying effective automated data quality controls at source. In addition the time-to-value for new products and customers can be significantly improved leading to real revenue gains.Business Automation and Outsourcing:
Businesses have invested massively in automation of their core business processes – supply chain management, customer management, etc – in order to achieve new levels of efficiency, speed and flexibility. These investments won’t payoff without high quality data.Compliance & Risk: Your ability to comply with regulatory mandates such as Sarbanes Oxley and Basel II depends on a foundation of high quality data.
Business Intelligence: As you strive for the agility and responsiveness of an “intelligent enterprise”, investment in systems to deliver robust, thorough, timely business intelligence are key. But without corresponding investment in the quality of the data feeding these systems your goals cannot be achieved.
Prevention
Once incorrect data gets into an information system it becomes difficult and costly to remedy. In its report, “Data Quality and the Bottom Line: Achieving Business Success through a Commitment to High Quality Data”, The Data Warehouse Institute (TDWI) said that poor quality data cost US businesses more than $600 billion a year. Clavis Data Steward leverages the power of the internet, SaaS and cloud computing to prevent data quality problems from occurring in the first place by applying quality controls at the points where data is first created or sourced.
For more information download the Clavis Whitepaper Clavis Data Steward™: Right First Time Data Quality.