PURSUIT OF EXCELLENCE
Recognizing The Role Of Data Quality Services For Success!
Data empowers decision-making. A robust data quality services strategy is necessary to achieve enterprise goals. Setting clearly defined data-quality management assessment metrics ensures accurate evaluation of the performance of data-quality management initiatives.
Minimize risks to your data so you can focus on achieving your goals.
Regarding data quality – there is no room for compromise. However, the impact of poor data can send ripples across your enterprise. Not only is there a delay, causing unwanted extensions in project timelines, but there is also a loss of credibility for the system and all stakeholders. All these can be avoided by not compromising on data quality services.
CUSTOMIZED SOLUTIONS FOR YOUR UNIQUE CHALLENGES
The Perfect DQM Tools!
For businesses with high data volumes and disparity, manual process predisposes them to data quality errors and unnecessary delays. We consider all the factors to ensure the right DQM tools are used.
Automate the identification of metadata, helps in identify any discrepancies & resolving errors before loading data.
Ensure data integrity, by validating process data through monitoring and reporting errors during process.
Detail description of data origin & its journey helps to Analyze & control the flow of information.
For all formats of data - flat/hierarchical, legacy/modern. structured/unstructured.
DATA QUALITY RULES
Measuring and Enhancing Your Data to be Fit for Migration
Establish rules to help remove redundant and extraneous data from the source system – ensuring your data is clean, accurate, consistent, and ready for migration.
RESOLVING DATA QUALITY PROBLEMS
Using experience, expertise, and the right tools.
Starting with data scrubbing, we develop a precise interface for filtering data based on client requirements. Data Cleansing is a continuous and parallel activity throughout the data migration project.
Transform data to a common format to increase consistency within data set; It involves changing different data formats to just one format.
The difference in complextives of source and target tools, makes it necessary to use migration application inorder to manipulate complex data flow.
Remove redundant Master Data records within one legacy system and avoids downstream impact with transactional data and reporting.
An essential part of DME’s Data Quality program to ensure operational efficiencies and avoid potential loss of revenue for business.
LANDSCAPE ANALYSIS
Assess and Categorize Your Data to Determine Improvement.
DME uses a Data Quality Solution tool with at least these vital aspects: Cleansing, Matching, Profiling, Data Quality Rules Management, and Dashboard Monitoring.
