About Informatica Data Quality
Informatica Data Quality is a data quality and observability platform from Informatica that supports critical business initiatives by delivering accurate, trusted data at scale. It combines features such as an Informatica Website, Success Portal, Informatica University, Network Community, and Documents Portal so organizations can utilize fit-for-purpose data across the enterprise. These capabilities help ensure that data used for decision-making is reliable and actionable. The platform is designed to meet stringent quality standards while providing resources for continuous improvement in data management. Key capabilities: Informatica Website Success Portal Informatica University Network Community Documents Portal Best for: organizations that need to maintain high data quality and observability for effective business operations.
Informatica Data Quality by Informatica is a powerful software tool designed to improve the quality of data by discovering, cleansing, and monitoring data across various sources. One of its standout features is its ability to provide comprehensive data profiling and data cleansing capabilities, helping organizations ensure the accuracy and reliability of their data. The user interface of Informatica Data Quality is intuitive and user-friendly, making it easy for users to navigate and utilize its functionalities. The design elements are clean and organized, enhancing the overall user experience. The software provides easy access to tools for data profiling, data standardization, and data matching, allowing users to quickly identify and resolve data quality issues. What sets Informatica Data Quality apart from its competitors is its robust set of core functionalities, including data profiling, parsing, standardization, matching, and monitoring. These capabilities help users identify anomalies in data, standardize data formats, match duplicate records, and monitor data quality over time. The software also offers innovative features such as self-service data quality tools, which empower business users to take control of their data quality initiatives.
Pros & Cons
- Strong dedupe engine with flexible rules and undo functionality
- Automations run real-time/scheduled
- Robust API sync across platforms
- Lacking multilingual UI
- U.S.-centric address validation only
- API features restricted to Enterprise tier
Features
Key features
Detects and merges duplicate records using customizable rules.
Uploads CSV files while preventing duplicate creation.
Converts leads into contacts or accounts within Salesforce.
Applies bulk changes or deletions to records.
Standardizes and verifies U.S.-based addresses.
Additional features
Reverts previous merge or delete actions safely.
Visualizes data quality and deduplication performance.
Automates deduplication and maintenance tasks on a schedule.
Matches and exports Salesforce records using spreadsheets.
Connects with external systems via REST and SOAP APIs.
Builds precise logic to identify duplicates.
Tracks and logs all actions for transparency.
Controls access through user roles and permissions.
Ensures data protection through encryption and SOC 2 compliance.
Reassigns child records to different parent records, especially in Marketo.
Provides secure data backups and recovery capabilities.
Pricing
Countries & Languages
Interface languages
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About Informatica Data Quality
Informatica Data Quality is a data quality and observability platform from Informatica that supports critical business initiatives by delivering accurate, trusted data at scale. It combines features such as an Informatica Website, Success Portal, Informatica University, Network Community, and Documents Portal so organizations can utilize fit-for-purpose data across the enterprise. These capabilities help ensure that data used for decision-making is reliable and actionable. The platform is designed to meet stringent quality standards while providing resources for continuous improvement in data management. Key capabilities: Informatica Website Success Portal Informatica University Network Community Documents Portal Best for: organizations that need to maintain high data quality and observability for effective business operations.
Informatica Data Quality Details
Informatica Data Quality's In-App Market Place
Does Informatica Data Quality have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
Usd ($), Eur (โฌ), Gbp (ยฃ), Aud (A$), Cad (C$), Jpy (ยฅ), Chf (chf), Cny (ยฅ), Inr (โน), Rub (โฝ), Brl (r$), Krw (โฉ), Sgd (S$), Zar (r), Try (โบ), Mxn (mex$), Hkd (hk$), Nzd (nz$), Sek (kr), Nok (kr), Ils (โช), Dkk (kr), Thb (เธฟ), Aed (ุฏ.ุฅ), Sar (ุฑ.ุณ), Twd (nt$), Pln (zล), Idr (rp), Myr (rm), Huf (ft), Czk (kฤ), Sgd (s$), Pkr (โจ), Clp ($), Php (โฑ), Cop (col$), Vnd (โซ), Uah (โด), Kzt (โธ), Bgn (ะปะฒ), Ron (lei), Pen (s/), Ars ($), Dzd (da), Vef (bs f), Mdl (l), Dop (rd$), Uyu ($u), Bhd (ุจ.ุฏ), Qar (ุฑ.ู), Omr (ุฑ.ุน.), Kwd (ุฏ.ู), Jod (ุฏ.ุง), Bwp (p), Qrn (ุฑ.ุน.), Bnd (b$), Xof (cfa), Zmw (k), Ghs (ยข), Xcd (ec$), Hrk (kn), Bdt (เงณ), Gtq (qv), Mmk (k), Xpf (โฃ), Mad (dh), Uzs (ะปะฒ), Kgs (ะปะฒ), Npr (โจ), Xaf (fcfa), Gnf (fg), Jmd (j$), Bam (bam), Nio (c$), Afn (ุ), Tzs (xft), Mvr (rf), Lrd ($), Fjd (fj$), Sos (s), Kpw (โฉ), Kgs (ะปะฒ), Asd ($), Bam (bam), Iqd (ุฏ.ุน), Xag (oz), Sll (le), Sdg (sdg), Xcd (ec$), Rwf (rf), Scr (sr), Ttd (tt$), Kes (ksh), Hnl (l), Dkk (kr), Xcd (ec$), Isk (รญkr), Kzt (โธ), WST (ws$), Jmd (j$), Pgk (k), Lsl (m), Tnd (dt), Mru (โฎ), Mur (โจ), Idr (rp), Mop (mop$), Guy (g$), Htg (g), LAK (โญ), Cdf (k), RSD (din), Cuc (cuc).
Pros & Cons
- Strong dedupe engine with flexible rules and undo functionality
- Automations run real-time/scheduled
- Robust API sync across platforms
- Lacking multilingual UI
- U.S.-centric address validation only
- API features restricted to Enterprise tier
Informatica Data Quality's Support Options
Email Address
support@informatica.comContact
+1 650-385-5000Community Forums
https://www.informatica.com/resources/community.htmlInformatica Data Quality's Alternatives
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