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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

Examine the usage of your data assets, focusing on aspects like popularity, utilization, and schema coverage. Gain vital insights into your data assets, including their quality and usage metrics. You can easily locate and filter the necessary data by leveraging metadata tags and descriptions. Additionally, these insights will help you drive data governance and establish clear ownership within your organization. By implementing a streamlined lineage from data lakes to warehouses, you can enhance collaboration and accountability. An automatically generated field-level lineage map provides a comprehensive view of your entire data ecosystem. Moreover, anomaly detection systems adapt by learning from your data trends and seasonal variations, ensuring automatic backfilling with historical data. Thresholds driven by machine learning are specifically tailored for each data segment, relying on actual data rather than just metadata to ensure accuracy and relevance. This holistic approach empowers organizations to better manage their data landscape effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Kinesis No 
Amazon Redshift No 
Amazon S3 No 
Apache Kafka No 
Azure Data Lake No 
Azure Synapse Analytics No 
Databricks No 
Gmail No 
Google Cloud BigQuery No 
Google Cloud Pub/Sub No 
Google Cloud Storage No 
Microsoft Teams No 
PagerDuty No 
PostgreSQL No 
SAP Store Yes 
SQL Server No 
Slack No 
Snowflake No 
dbt No 

Integrations

Amazon Kinesis Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Kafka Yes 
Azure Data Lake Yes 
Azure Synapse Analytics Yes 
Databricks Yes 
Gmail Yes 
Google Cloud BigQuery Yes 
Google Cloud Pub/Sub Yes 
Google Cloud Storage Yes 
Microsoft Teams Yes 
PagerDuty Yes 
PostgreSQL Yes 
SAP Store No 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
dbt Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

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

Validio

Founded

2019

Website

validio.io

Product Features

Data Quality

Address Validation No 
Data Deduplication Yes 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Product Features

Data Lineage

Database Change Impact Analysis No 
Filter Lineage Links No 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Alternatives

Alternatives

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