"Inadequate spend data management capabilities are costing business $ 260 billion in missed saving opportunities annually."
Aberdeen group.

"By year end 2008, at lease two-third of financial audits will comment on supplier data accuracy and request improvement." Gartner Group

Tejari Strategic Procurement Services is committed to enabling its clients improve procurement cost efficiencies, at all levels. We support appropriate demand planning, inventory management and supply contract management processes to rationalize spend data and improve spend visibility.

What is Data Cleansing?

Data cleansing or data scrubbing is the act of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and Data validation. Data cleansing, also known as database cleansing or data scrubbing, is the process of ensuring that a set of data is correct and accurate.

Nowadays companies heavily rely on computerized data in their normal operations so data cleaning is a very important task. During the data cleansing process, different tools are used to check records for accuracy and consistency, and either corrected, or deleted as necessary.

Data cleansing process uses different software and tools and can occur within a single combination of database records, or between multiple sets of data which need to be merged, or which will work together. Database cleansing at its simplest level, involves a person or persons reading through a set of data records and verifying their accuracy. Typos and spelling mistakes are corrected, mislabeled database information is properly labeled and filed, and incomplete or missing entries are completed. Database cleansing operations in companies often purge out of date or unrecoverable data sets and records, so that they do not take up space and cause inefficient operations.

In more complex operations, companies cleanse data by relaying on professional services provided by companies working in this field. Tejari as company specialized in the procurement arena is providing this service to companies.

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Why Data Cleansing?

Data quality is a critical factor for the success of enterprise intelligence schemes. Unreliable data on one system can easily and rapidly propagate to other systems. If information shared across the organization is contradictory, inconsistent or inaccurate, then exchanges with customers, suppliers and others will be based on inaccurate information, resulting in higher costs, reduced credibility and lost business.

Benefits

Once we consolidate & standardize your supplier records with our proprietary data, you will:

• Make efficient decision based on the most accurate, complete & consistent information on your supplier
• Get the most accurate supplier information available in the market
• Categorize spend rollup in corporate families to reduce supply costs
• Enrich your existing supplier information with International and worldwide codes to identify which commodities and services present opportunities for spend reduction
• Eliminate incomplete and inaccurate supplier data spread across multiple systems
• Minimize manual data cleansing and de-duping
• Increase your supplier diversity spend
• Cleanse and classify your current supplier database to identify certified and self-classified diverse businesses
• Enhance and update your existing supplier diversity data
• Maintain up-to-date diversity status in a consistent format
• Provide a central repository of all corporate and local outreach efforts

Click for more information on how to improve the health and validation of your data.