Celebrate the season with exclusive savings from Statswork!
Data Verification for Trusted and Error-Free Analysis
Verifying data for accuracy and correctness provides reliable insights for evidencing analyses and decisions based on trustworthy information.
The Rising Importance of Enterprise Data Verification
Businesses increasingly rely on data to make analytical, automated and/or decision-making processes of their organizations, so ensuring their accuracy and authenticity has become an integral part of business operations.
Data verification will ensure every data set is accurate, complete and usable with confidence. Organizations in the finance, healthcare, retail and research sectors are continually confronted by inconsistent data formats, non-current, or obsolete data entries, and the issues associated with manual data entry.
These processes can also cause inefficiencies for organizations and possible compliance risks. Statswork provides organizations with automated verification services, cross-reference capabilities, error correction, and governance alignment to help create accurate, trustworthy databases.
By providing data verification services, we enable organizations to retain clean, consistent and reliable databases that enable proper analytical processes and well-informed decision-making.
Automated Data Accuracy Checking
To ensure data accuracy at Scale, we offer Automated Data Accuracy Checking processes, which are automated verification methods that will check for incorrect data entry, outliers, and validate data against standard practices or predefined rules.
Completeness & Consistency Validation
To ensure completeness and consistency across all records, we have built checks to ensure that every required field is completed, every record format is standardized, and that records are consistent across various sources of information.
Cross-Referencing with Trusted Sources
To ensure authenticity and correctness of your data, We perform verification by matching your data against known sources of reference (such as other databases or industry standards) for accuracy.
Error Detection & Correction Workflow
To improve the quality of your data end-to-end, we have developed processing methods to identify, correct and cleanse your data of all invalid entries. We accomplish this by combining tried-and-true rule-based methods with AI technology.
Industries served by Statswork
Statswork supports finance, healthcare, retail, technology and research with compliant data that is verified for accuracy enabling analytics to be dependable, on-time deliveries to run smoothly and reliable data to support confident decision-making in each of the industries listed.
- Professionally trained data validation experts with experience in your field
- Automated verifications making quick and accurate results possible
- Cross-referencing data with established and respected sources to ensure authenticity and compliance
- Full verification process from start to finish includes reviewing the data and giving the final stamp of approval on the quality of the data
- Data verification that can grow along with your large, complex datasets
- More reliable data used for analytical purposes, reporting and decision-making
1. Data Assessment/Profiling
We first examine data to look for potential inaccuracies and inconsistencies and missing fields and lack of validation.
2. Automated Validations / Rule Based Verification
We use Rule Based validation rules (an automation technique) to check the accuracy of the data; identify outliers; and standardize the formatting of data that comes from different sources.
3. Cross Check Records Again Reference Material to Promote Authenticity/Correctness
By matching records from our data with both trusted internal and external sources, we verify the authenticity of the records and they are accurate.
4. Final Verification / Compliance Certification
As a last step in the data validation process, we conduct a final verification to ensure that data are free from errors or inaccuracies, reliable and provide a complete picture of what the data are about.
Begin dealing with the shopping behaviour data to convert more shoppers to buyers and personalize the buyer journey today!
