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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Enhance the integrity of your data both during transit and when stored by implementing superior monitoring, visualization, remediation, and reconciliation techniques. Ensuring data quality should be ingrained in the core values of your organization. Go beyond standard data quality assessments to gain a comprehensive understanding of your data as it traverses through your organization, regardless of its location. Continuous monitoring of quality and meticulous point-to-point reconciliation are essential for fostering trust in data and providing reliable insights. Data360 DQ+ streamlines the process of data quality evaluation throughout the entire data supply chain, commencing from the moment information enters your organization to oversee data in transit. Examples of operational data quality include validating counts and amounts across various sources, monitoring timeliness to comply with internal or external service level agreements (SLAs), and conducting checks to ensure that totals remain within predefined thresholds. By embracing these practices, organizations can significantly improve decision-making processes and enhance overall performance.

Description

Enhance the potential of both structured and unstructured data within your organization by leveraging outstanding features for data integration, quality enhancement, and cleansing. The SAP Data Services software elevates data quality throughout the organization, ensuring that the information management layer of SAP’s Business Technology Platform provides reliable, relevant, and timely data that can lead to improved business results. By transforming your data into a dependable and always accessible resource for insights, you can optimize workflows and boost efficiency significantly. Achieve a holistic understanding of your information by accessing data from various sources and in any size, which helps in uncovering the true value hidden within your data. Enhance decision-making and operational effectiveness by standardizing and matching datasets to minimize duplicates, uncover relationships, and proactively address quality concerns. Additionally, consolidate vital data across on-premises systems, cloud environments, or Big Data platforms using user-friendly tools designed to simplify this process. This comprehensive approach not only streamlines data management but also empowers your organization to make informed strategic choices.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Safyr Yes 
Amazon Web Services (AWS) No 
Azure NetApp Files No 
Cisco AnyConnect No 
EHSwise No 
Expana No 
Fujitsu Biometrics-as-a-Service No 
Google Cloud Platform No 
HPE Consumption Analytics No 
Hitachi Content Intelligence No 
Huawei APM No 
IBM Cloud No 
Microsoft 365 No 
NEC EXPRESSCLUSTER No 
Oracle Cloud Infrastructure No 
SAP Joule No 
VMware Cloud No 
Wipro Cloud Studio No 

Integrations

Safyr Yes 
Amazon Web Services (AWS) Yes 
Azure NetApp Files Yes 
Cisco AnyConnect Yes 
EHSwise Yes 
Expana Yes 
Fujitsu Biometrics-as-a-Service Yes 
Google Cloud Platform Yes 
HPE Consumption Analytics Yes 
Hitachi Content Intelligence Yes 
Huawei APM Yes 
IBM Cloud Yes 
Microsoft 365 Yes 
NEC EXPRESSCLUSTER Yes 
Oracle Cloud Infrastructure Yes 
SAP Joule Yes 
VMware Cloud Yes 
Wipro Cloud Studio Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

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

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Precisely

Founded

1968

Country

United States

Website

www.precisely.com/product/precisely-data360/data360-dq

Vendor Details

Company Name

SAP

Founded

1972

Country

Germany

Website

www.sap.com/products/data-services.html

Product Features

Data Quality

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

Product Features

Data Cleansing

Address/ZIP Code Cleaning No 
Charting No 
Data Consolidation / ETL No 
Data Mapping No 
Multi Data Format Support No 
Phone/Email Validation No 
Raw Data Ingestion No 
Sample Testing No 
Validation / Matching / Reconciliation 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 

Integration

Dashboard No 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

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