data quality assurance

Analytics Consultant

We’ve developed expertise in 23 domains with the special focus on: To protect your business information, we practice a three-level approach to security: Data consolidation during mergers and acquisitions. We'll send you an email containing your password.

Only data-driven companies can compete in the era of digitization. Furthermore, there are specific characteristics in today’s business world that push the organization to think about how to collect reliable data: Companies must be able to react as flexibly as possible to dynamically changing market requirements. Both measures give people the right to access the personal data that companies collect about them, which means organizations must be able to find all of the records on an individual in their systems without missing any because of inaccurate or inconsistent data.

This drastically increases the importance of consistent master data. In the increasingly complex world of data, enterprises need reliable pillars. To power businesses with a meaningful digital change, ScienceSoft’s team maintains a solid knowledge of trends, needs and challenges in more than 20 industries. Business users are demanding more and more cross-departmental analysis from integrated datasets. If you have questions or you’re ready to discuss how Blast can help you EVOLVE your organization, talk to an Analytics Consultant today.

For many years, the burden of data quality efforts centered on structured data stored in relational databases since they were the dominant technology for managing data.

Our team will find a good balance among data consistency, accuracy, completeness, auditability, and orderliness so that your big data is of good enough quality at a reasonable cost, within a reasonable period, with no hindrance to your systems’ performance.

This means that quality always depends on the context in which it is used, leading to the conclusion that there is no absolute valid quality benchmark.

Our testing specialists have professional knowledge in 10+ domains, including healthcare, banking and financial services, retail, manufacturing and more, to address the specifics of your data solution. Effective master data management can be the crucial factor when it comes to minimizing integration costs. © 1999-2020 - Blast Analytics & Marketing, Inc. Data quality demands are also expanding due to the implementation of new data privacy and protection laws, most notably the European Union's General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Its framework focuses on accuracy, reliability, consistency and other data quality attributes in the statistical data that member countries need to submit to the IMF. Various methodologies for such assessments have been developed. 1 0 obj

This leads to variable inaccuracies, gaps in tracking, and — even worse — information that’s simply missing. Similar to the process for other submissions (e.g., amendments to original Form U), the data are queried and examined for any data outliers and checked for accuracy. EPA conducts a number of activities every reporting cycle to ensure the quality of Chemical Data Reporting (CDR) data reported to EPA, including: Forms submitted after the reporting deadline are immediately loaded into the CDR data processing system for analysis and combined with data from previously submitted Forms. We do root cause analysis in close collaboration with IT specialists responsible for a particular system (CRM, ERP, CMS, and more).

Specialized departmental systems (Marketing, Sales, Maintenance and Support, etc.). However, it's also a common practice to involve business users, data scientists and other analysts in the data quality process to help reduce the number of data quality issues created in systems. Depending on your needs, you may also benefit from an analytics maturity assessment, or data governance consulting. Such a cycle is intended to ensure that efforts to improve overall data quality continue after individual projects are completed. Providing … Companies can only unlock the full economic potential of their data if the master data is well managed and provided in high quality. Don‘t miss out – Get the latest BI product insights, research, surveys and more! The industry is slowly moving towards standardizing data quality management as a service. Quality assurance of recorded interviews.

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