Name: Precisely Data360 DQ+
Author: Precisely

Help Desk

Web and Video Conferencing

Customer Support

Bug  Tracking

Flowchart

Development

Higher Education

Education

Association Management

Business Intelligence (BI)

Collaboration

Data Extraction

Embedded Business Intelligence (BI)

File Sync

Risk Management

Streaming Analytics

Visual Collaboration

Enterprise

Accounting

Budgeting and Forecasting

Crypto Accounting

Loan Origination

Payment Gateway

Payment Orchestration

Finance and Accounting

Applicant Tracking

Background Check

Contractor Management

Corporate Learning Management

Diversity, Equity, and Inclusion (DEI)

HR Compliance

HR Management

Payroll

Recruitment Agency

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Authorization

C/C++ Integrated Development Environments

Cloud Storage

Container Management

Distributed Denial of Service (DDoS) Protection

Fraud Detection

Incident Response

Integration Platform as a Service (iPaaS)

Managed Private Cloud

Network Performance Monitoring

Relational Database Management Systems

Remote Monitoring and Management

Tower Servers

Information Technology

A/B Testing

AI Image Generation

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Conversion Rate Optimization

Email Marketing

Event Registration

Heatmap and Session Recording

Landing Page

Marketing Automation

Personalization Engines

Public Relations (PR)

Retail Media Advertising

SMS Marketing

Sales and Marketing Automation

Social Media Management

Survey & Forms Building

Video

Video Editing

Web Analytics

Marketing

Project Management

Prototyping

Professional Services

Customer Relationship Management (CRM)

Sales Pipeline

Sales

Antivirus

Security

Automotive

Forestry

Vertical-Specific

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Precisely Data360 DQ+ is a data quality solution that aims to enhance the quality of data in-motion and at-rest. According to the vendor, it offers advanced monitoring, visualization, remediation, and reconciliation capabilities to ensure the accuracy, consistency, and reliability of data. The product is designed to target small to large enterprises and is utilized by business analysts, data scientists, data engineers, as well as professionals in the financial services and insurance industries.

## Key Features

**Data Quality Monitoring**: According to the vendor, the product automates data quality checks across the entire data supply chain, ensuring data quality as transactions move across systems and processes. It validates data elements across multiple sources, tracks timeliness, and ensures totals are within limits.

**Business-Driven Reconciliations**: The vendor claims that the product can handle complex data quality rules for uncommon data sources, including third-party, text, numeric, financial, and streaming data. It supports business-driven reconciliations and provides case management with workflow tasks for issue remediation. Additionally, it maintains a complete audit trail for data quality activities.

**Dashboards & Reporting**: The product provides configurable built-in dashboards for personalized insights into raw or curated data. According to the vendor, it generates custom data quality scores aligned with business goals and visualizes data to understand outcomes. It aims to offer clarity into data of any size, from individual files to data lakes and streams at scale.

**Shared Rule Library**: According to the vendor, the product allows users to share and reuse data quality rules, reducing development time and redundancies. It promotes collaboration and shared understanding across teams, ensuring consistency in data quality metrics and visualizations. The vendor claims that it facilitates annotation on dashboards and captures point-in-time feedback.

**User Collaboration**: The product enables seamless collaboration on data quality metrics and visualizations. Users can annotate on dashboards and capture point-in-time feedback, promoting communication and shared understanding of data quality issues. The vendor states that it facilitates collaboration across all business levels within the organization.

**Semantic Identification**: According to the vendor, the product automatically tags data with a semantic type to understand and share its context. It provides a consistent and standardized way to identify and classify data, improving data governance and management practices. The vendor claims that it ensures accurate interpretation and usage of data for enhanced data quality.

**Audit Transparency**: The product allows access to historical audit information, aiming to decrease the review cycle time of compliance and policy audits. It provides visibility into data quality activities and changes over time, ensuring regulatory compliance and data governance requirements. According to the vendor, it supports transparency and accountability in data quality processes.

**Integrated Data Governance**: The vendor claims that the product integrates data quality and data governance practices, ensuring data quality as an integral part of the data governance framework. It aligns data quality rules and metrics with data governance policies and guidelines, providing a holistic approach to managing and improving data quality.

**Self-Service Options**: The product offers self-service capabilities for users to manage and monitor data quality. According to the vendor, users can perform data quality checks and remediation tasks independently, reducing dependency on IT or data quality teams for routine activities. It aims to improve efficiency and agility in data quality management.

**Advanced Visualizations**: The product provides configurable built-in dashboards for visualizing data quality metrics. It offers interactive charts, graphs, and reports to gain deeper insights into data quality. According to the vendor, users can customize visualizations based on specific requirements, enhancing data storytelling and communication of data quality insights.

Data360 DQ+, formerly from Infogix and now from Precisely since the 2021 acquisition, is an enterprise data quality solution, a technology that automates data quality checks across the entire data supply chain from the time information enters the organization throughout its whole journey.

HubSpot Operations Hub (based on technology from the former PieSync that was acquired by HubSpot November 2019) is a two-way contacts integration platform. The vendor emphasizes quick and easy setup automated customer and client data matching and updating between apps.

Starter

Professional

HubSpot Operations Hub

Personal

Team

Department

Organization

Clear Analytics

Precisely Data360 DQ+

Data Quality

Precisely

Data quality tools are designed to ensure that business data is as reliable as possible so that it can provide a solid basis for effective decision-making

Data source connectivity

Ease of connection to multiple data sources

Data profiling

Ability to find anomalies and hidden relationships between data elements

Master data management (MDM) integration

Data element standardization

Parsing and standardization of data elements according to predefined rules

Match and merge

Ability to identify potential matches and then merge

Address verification

Data format checking and valid address checking

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Data360 DQ+

Data360 DQ+
Formerly from Infogix

Overview

What is Data360 DQ+?