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Description
Data is essential across various departments in a business, including sales, marketing, and finance. To maximize the effectiveness of this data, it is crucial to ensure its upkeep, security, and oversight throughout its lifecycle. At Uniserv, data quality is a fundamental aspect of our company ethos and the solutions we provide. Our tailored offerings transform your customer master data into a pivotal asset for your organization. The Data Quality Service Hub guarantees superior customer data quality at every location within your enterprise, extending even to international operations. We provide services to correct your address information in line with global standards, utilizing top-tier reference data. Additionally, we verify email addresses, phone numbers, and banking details across various levels of scrutiny. Should your data contain duplicate entries, we can efficiently identify them based on your specified business criteria. The duplicates detected can often be merged automatically following established guidelines or organized for manual review, ensuring a streamlined data management process that enhances operational efficiency. This comprehensive approach to data quality not only supports compliance but also fosters trust and reliability in your customer interactions.
Description
Collect, normalize, and standardize your data from a variety of sources and formats. Ensure that all types of information, whether pertaining to businesses or individuals, are normalized, regardless of whether they are structured or unstructured. This process employs advanced supervised machine learning techniques based on neural networks to comprehend the intricacies and variations present in diverse information types while automating the data parsing. Spectrum Quality is particularly well-equipped to cater to international clients who demand comprehensive data standardization and transliteration across multiple languages, including culturally specific terms in Arabic, Chinese, Japanese, and Korean. Our cutting-edge text-processing capabilities facilitate the extraction of information from any natural language input and effectively categorize unstructured text. By utilizing pre-trained models alongside machine learning algorithms, you can identify entities and further customize your models to accurately define specific entities relevant to any domain or category, enhancing the overall flexibility and applicability of the data processing solutions we offer. As a result, clients can achieve a more refined and efficient data management and analysis process.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Uniserv
Founded
1969
Country
Germany
Website
www.uniserv.com/en/business-cases/customer-data-management/data-quality/
Vendor Details
Company Name
Precisely
Founded
1968
Country
United States
Website
www.precisely.com/product/precisely-spectrum-quality/spectrum-quality
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Product Features
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management