InQuera, Product Data Quality (PDQ)

Many organizations think that by investing in IT systems (such as ERP or BI systems), that they have already solved the data quality problem. But just as high cholesterol is invisible to the naked eye, so poor data quality is a hidden problem with significant effects on the organization's performance.

How can InQuera help?

InQuera's Product Data Quality Check-up methodology provides a rapid, effective analysis of the current health of customers' product data. Within weeks, customers are empowered with sufficient understanding of their product data challenges to enable informed decision-making. The results provide a clear picture of key risk factors and the steps needed to effectively address product data quality issues.

There are four key phases to this process:

Information gathering and analysis

Data quality evaluation and scoring

Operational and economic benefits from higher data quality

Recommendations and data quality roadmap

Information Gathering and Analysis

InQuera's team of experts undertake in-depth analysis of product data domains, business processes involving product data, users and systems utilizing the product data, data map, taxonomy, technological infrastructures, and product population.

Product Data Quality Evaluation and Scoring

Data quality is evaluated by eight quality criteria: Completeness, conformity, consistency, accuracy, redundancy, integrity, accessibility, and sensitivity. For each quality criteria, a quality scorecard is generated. The impact of data quality on the quantitative and qualitative performance of the organization is also assessed.

Operational and Economic Benefits from Higher Product Data Quality

Based on the previous findings and evaluation, InQuera identifies the potential economic and operational benefits of high quality product data. The outcome provides the organization with a clear understanding of what data domains are more beneficial than others, organizational preferences, and how much to invest.

Recommendations and Product Data Quality Roadmap

InQuera provides the customer with a practical recommendation of proposed measures and a roadmap of data quality improvement, based on the data evaluation and benefits analysis.

Contact InQuera for a complete data quality check-up.


Overview Legacy Data Refinement Taxonomy SAP® MDM Master Data Management Data Quality Check-up Data Quality Firewall		Does your company need a product data quality check-up? Many organizations think that by investing in IT systems (such as ERP or BI systems), that they have already solved the data quality problem. But just as high cholesterol is invisible to the naked eye, so poor data quality is a hidden problem with significant effects on the organization's performance. How can InQuera help? InQuera's Product Data Quality Check-up methodology provides a rapid, effective analysis of the current health of customers' product data. Within weeks, customers are empowered with sufficient understanding of their product data challenges to enable informed decision-making. The results provide a clear picture of key risk factors and the steps needed to effectively address product data quality issues. There are four key phases to this process: Information gathering and analysis Data quality evaluation and scoring Operational and economic benefits from higher data quality Recommendations and data quality roadmap Information Gathering and Analysis InQuera's team of experts undertake in-depth analysis of product data domains, business processes involving product data, users and systems utilizing the product data, data map, taxonomy, technological infrastructures, and product population. Product Data Quality Evaluation and Scoring Data quality is evaluated by eight quality criteria: Completeness, conformity, consistency, accuracy, redundancy, integrity, accessibility, and sensitivity. For each quality criteria, a quality scorecard is generated. The impact of data quality on the quantitative and qualitative performance of the organization is also assessed. Operational and Economic Benefits from Higher Product Data Quality Based on the previous findings and evaluation, InQuera identifies the potential economic and operational benefits of high quality product data. The outcome provides the organization with a clear understanding of what data domains are more beneficial than others, organizational preferences, and how much to invest. Recommendations and Product Data Quality Roadmap InQuera provides the customer with a practical recommendation of proposed measures and a roadmap of data quality improvement, based on the data evaluation and benefits analysis. Contact InQuera for a complete data quality check-up.

Does your company need a product data quality check-up?

How can InQuera help?

Information Gathering and Analysis

Product Data Quality Evaluation and Scoring

Operational and Economic Benefits from Higher Product Data Quality

Recommendations and Product Data Quality Roadmap