Data Quality Improvement Blueprint
At Info.Blueprint, we understand that poor data quality can hinder business growth by limiting decisions and reducing efficiency. As AI and new technologies emerge, data quality becomes even more crucial. To address this, we’ve developed a framework to enhance data reliability and accuracy. We work closely with you to understand your needs, evaluate data challenges, and implement solutions that align with your goals.
We Provide:
Our Approach
Assess Baseline Data Quality : In the first step, we conduct a baseline Data Quality Assessment to assess the current state of your data, identifying issues such as missing data, inaccuracies and duplication.
Define Improvement Requirements: The next step in our approach confirms all relevant business rules and governance requirements that must be applied during data correction to design a tailored strategy that addresses your specific data quality issues identified in the assessment step.
Perform Data Correction: This step deals with the actual data cleansing activities wherein our team of experts applies industry-leading techniques and tools to clean the data.
Performing Enrichment & De-Duplication: We utilise our various lists of reference data and data from other sources to enrich your current data to obtain maximum value from the exercise.
Measuring Data Quality Improvement: We evaluate the cleansed data against the initial data to track data quality and make adjustments as needed, ensuring your data remains high-quality over time.
Implementing Data Quality Monitoring: We design and recommend the institutionalization of the ongoing monitoring of data quality
Why Choose Our Data Quality Services?
We utilise our comprehensive set of rules for Party and other data domains to minimise the implementation time of DQ improvement projects
We work with you to design reports to enhance decision-making with reliable, high-quality data
We work closely with your IT and other data teams to achieve data consistency, accuracy and integrity across systems
We aim to provide sustainable, long-term data quality solutions
