Informatica Data Quality Description
Provide immediate strategic advantages by delivering comprehensive support for the evolving demands of data quality across various users and types through AI-powered automation. Regardless of the initiative your organization is undertaking—be it data migration or advanced analytics—Informatica Data Quality offers the necessary flexibility to seamlessly implement data quality across all scenarios. Empower your business users while enhancing collaboration between IT and business leaders. Oversee the quality of both multi-cloud and on-premises data for diverse applications and workloads. Integrate human interventions into the workflow, enabling business users to review, amend, and approve exceptions during the automated process. Conduct data profiling and continuous analysis to reveal connections and more effectively identify issues. Leverage AI-driven insights to automate essential tasks and streamline data discovery, thereby boosting productivity and operational efficiency. This comprehensive approach not only enhances data quality but also fosters a culture of continuous improvement within the organization.
Informatica Data Quality Alternatives
QVscribe
QRA’s tools streamline engineering artifact generation, evaluation, and prediction, refocusing engineers from tedious work to critical path development.
Our solutions automate the creation of risk-free project artifacts for high-stakes engineering.
Engineers often spend excessive time on the mundane task of refining requirements, with quality metrics varying across industries. QVscribe, QRA's flagship product, streamlines this by automatically consolidating these metrics and applying them to your documentation, identifying risks, errors, and ambiguities. This efficiency allows engineers to focus on more complex challenges.
To further simplify requirement authoring, QRA introduced a pioneering five-point scoring system that instills confidence in engineers. A perfect score confirms accurate structure and phrasing, while lower scores prompt corrective guidance. This feature not only refines current requirements but also reduces common errors and enhances authoring skills over time.
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DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Web APIs by Melissa
Looking for fast, easy solutions to protect your entire data lifecycle? Look no further. Melissa’s Web APIs offer a range of capabilities to keep your customer data clean, verified, and enriched. Our solutions work throughout the entire data lifecycle – whether in real time, at point of entry or in batch.
• Global Address: Verify & standardize addresses in 240+ countries & territories with postal authority certified coding & premise-level geocoding.
• Global Email: Verify email mailboxes, syntax, spelling & domains in real time to ensure they are deliverable.
• Global Name: Verify, standardize & parse person & business names with intelligent recognition of millions of first & last names.
• Global Phone: Verify phone as active, identify line type, & return geographic details, dominant language & carrier for 200+ countries.
• Global IP Locator: Gain a geolocation of an input IP address with lat & long, proxy info, city, region & country.
• Property (U.S. & Canada): Return comprehensive property & mortgage info for 140+ million U.S. properties.
• Personator (U.S. & Canada): USPS® CASS/DPV certified address checking, name parsing & genderizing, phone & email verification are all easily performed with this API.
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Syniti Data Quality
Data possesses the potential to transform markets and push boundaries, but this is only achievable when it is reliable and comprehensible. By utilizing our cloud-based solution, which is enhanced with AI/ML capabilities and developed from 25 years of industry best practices and validated data quality reports, your organization's stakeholders can collaborate effectively to achieve data excellence.
Rapidly pinpoint data quality problems and streamline their resolution with integrated best practices and a plethora of pre-configured reports. Prepare and cleanse data before or during migration, while also monitoring data quality in real-time through customizable intelligence dashboards. Maintain ongoing oversight of data entities, automatically triggering remediation processes and routing them to the designated data custodians. Centralize information within a unified cloud platform and leverage accumulated knowledge to boost future data projects. By ensuring that all data stakeholders operate within a single system, you can reduce effort and enhance results with each data initiative. Collaborating in this manner not only fosters trust in the data but also empowers stakeholders to make informed decisions swiftly.
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Integrations
Company Details
Company:
Informatica
Year Founded:
1993
Headquarters:
United States
Website:
www.informatica.com/products/data-quality.html
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Product Details
Platforms
Web-Based
On-Premises
Informatica Data Quality Features and Options
Data Quality Software
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Informatica Data Quality User Reviews
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