Data Quality Assurance Services

Low-quality data can be catastrophic to the growth of an enterprise that thrives on evolving datasets every day. At Czario, we provide data quality assurance services by our experts that ensure data that is clean, complete and up-to-date. We develop and implement data governance procedures, design key metrics to control data quality, handle duplicates, inconsistencies, and outliers.

Our Cooperation Models

We offer data quality assurance expertise for your requirement and budget. The three cooperation models we follow are.

Data quality assessment

To ensure that your reports and dashboards are accurate and data-reliant processes run as intended, we evaluate your data to find incompleteness, duplicationor redundancy, outdated or unreliable information, late data entries, unrelated data connections, updates and other examples of low-quality data.

Once data quality assessment is complete, we prepare a comprehensive report describing the problems identified. If you don’t have an in-house team to fix data issues, our team will step in and solve them methodically. For example, we may set rules/macros that automatically correct records to meet the accepted standards and established conversion rules.

Data quality consulting

Our experienced consultants will bring in their experience and best practices to:

Fix the problems with data quality in the existing system

Relocate the data to a brand-new system during migration while molding data into the new structure

Integrate data from several systems

Identify data quality improvement opportunities

Provide a valuable piece of advice on any question that refers to data quality

Managed data quality assurance

Under this model, our team monitors your data on a regular basis, keeps track of its quality, reports variations, fine-tunes data sets and addresses issues in a timely manner as they arise. For example, we can check if data standardization procedures work as intended or tune merging so that this procedure runs according to predefined rules.

Data we handle

ERP (data from Finance, Accounting, Human Resources, Supply Chain and Manufacturing, Sales, Marketing, and other modules).

SCM (general information about suppliers, inventory, shipping, manufacturing and procurement data, etc.).

CRM (customer profiles, data about leads, accounts, entries on the progress in communication, and more).

Ecommerce (web-behavior activities, customer data, transaction logs).

HR (employee data, applicant data, payroll, and more).

Industry-specific data (EHR for healthcare, network data for telecom, etc.).

Specialized departmental systems (Marketing, Sales, Maintenance and Support, etc.)

System data

How Your Data will be secure with us

We put an NDA in place before we start business

We work within a secure infrastructure tested by our information security experts.

Czario’s information security policy covers security measures for internal and external information assets.

Challenges we address

Data consolidation during mergers and acquisitions

A require merging ERP, CRM, HR, and other data-intensive systems of more than two businesses, which may result in duplicates, outdated, unrelated, or incomplete data. We can help you to go through the process of M&A with reduced data quality pains by designing standardized data structures and setting data governance procedures, setting quality metrics, integrating data from multiple systems, providing a toolkit for managing the change, and more.

Big data challenges

With big data, it’s not possible to achieve all the usual data quality criteria by 100%. Our team will find a footing for your data with the right 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.

Blurry big picture

It’s easy to ignore petty quality issues and miss the big picture of overall data quality that will finally snowball. We introduce data quality metrics to present the entire picture in one report.

Hard-to-fix quality issues

When data quality issues keep coming up, it’s necessary to deal with their root cause rather than the aftermath. We do root cause analysis in close collaboration with IT expertsin a particular system (CRM, ERP, CMS, and more).

Business specifics

Business data largely depends on the industry the enterprise handles. 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.

Want to merge the best practices in managing your enterprise-critical data quality assurance to save up on larger mistakes that may happen tomorrow? Contact our domain experts today for a quick process walkthrough.