Data Quality Software in Asia-Pacific

Datamatch Enterprise creates fully scalable configurations for deduplication and record linkage. The solution has the ability to identify and transform complex product data from disparate sources. Data Ladder’s advanced semantic recognition technology assesses product data instantly from various data sources, understands the context, and helps users make informed decisions by precisely matching, categorizing, and deriving complex product hierarchies. The company's data deduplication software also allows organizations to find matches across all the data sources with a 96% accuracy.

Informatica Data Quality software ensures best data quality for all business applications, whether they are on-premises or cloud applications. The solution includes unified role-based tools that facilitate the participation of business in the data quality process and deliver comprehensive support for applying data quality rules to products, assets, and customer data. The company provides enhanced flexibility and agility to its customers in terms of accessing and cleansing the data which is located at any source within an enterprise, be it on premises or on the cloud.

IBM focuses on various aspects of data quality. IBM InfoSphere Information Server offers several capabilities that address data quality needs of businesses. IBM InfoSphere Information Server is an IBM data quality software which helps enterprises extract more value from complex, heterogeneous information spread across systems. IBM offers a substantial range of products for managing the end-to-end data quality requirements of organizations.

Talend offers Talend Open Studio as Data Quality Software as its prime solution in the data quality tools market. The software offers intrinsic features, such as data profiling tools, which are instrumental in providing a comprehensive view of enterprise data, and help to recognize grey areas in the organization where the data is either incomplete or duplicated or out of conformance with standards.

Experian Data Quality is a global provider of data quality software and services. These software and services are offered via flexible Software-as-a-Service (SaaS) and on-premises deployment models. The company offers comprehensive data management solutions which help organizations achieve their business goals. Experian Data Quality assists in maintaining the accuracy of the collected data which leads to an efficient operational workflow. It offers a real-time capturing of the customer information which helps in keeping data up-to-date.

Oracle offers various tools for maintaining the data quality of an organization. The Oracle Enterprise Data Quality product suite helps organizations achieve maximum business value by providing high-quality data. The solution provides businesses with multi-user project support with an ability to manage all types of data including customer, product, asset, financial, and operational data.

Alteryx's Data Quality software allows organizations to understand the quality of a dataset and also enhance the data to make it ready for analytics. The company provides data profiling visualizations which offer a segmentation view based on quality and issues. The company also delivers specific statistics based on individual fields in the user's data, based on their data types. Moreover, Alteryx offers in excess of 45 tools like find and replace, that help companies in improving the quality of their data.

Microsoft Data Quality Services is a knowledge-based product that provides both computer-assisted and interactive methods to govern integrity and quality of the data sources. The DQS solution performs data cleansing through cloud-based reference data services provided by reference data providers. Microsoft Data Quality Services also provides data profiling integrated with data quality tasks, allowing analysis of the integrity of enterprise data. The data quality tools offered by Microsoft Server DQS empower an information steward or an IT expert to keep up the quality of data.

Pitney Bowes offers a wide range of products in the data quality tools market. These products include Spectrum Data Discovery Module, Spectrum Advanced Matching Module, Spectrum Data Normalization Module, Spectrum Universal Name Module, and Spectrum Universal Addressing Module. The various capabilities offered by the company’s products are data profiling, advanced data matching and consolidation, data enrichment with reference data, standardization and normalization of data, monitoring trends, and Key Performance Indicators (KPIs).

Ataccama's Data Quality software & Cleansing solution helps users in transforming their data. It allows companies to use an extensive set of predefined algorithms or enables them create their own. The company's Anomaly Detection feature leverages AI to identify problems in data loads, including data volume changes, etc. Ataccama's Data Profiling helps users learn about the critical patterns in their data. It also finds duplicate records and uses multiple edit distance metrics to reveal hidden relationships in the data.

Backoffice Associates has developed a Data Quality Scorecard that provides web-based analytics, reports, and insights through a consolidated dashboard that allows businesses to view their critical business metrics. The company also conducts Data Quality and Readiness Assessment, which is supported by their applications which instantly deliver report findings with specific data challenges. The company also offers the best practices in Data Quality developed by experts to help organizations in addressing their data problems.

Qfire's The rule editor allows look-up checks, comparisons and integrity statements to be added without coding. QFire’s set-and-forget built-in feature enables organizations to instantly create the validation rules needed to apply to data. Also, QFire Validate notifies the users about the error details whenever a new data item blocks the flow. QFire Quality Firewall helps users to decide if upon a course of action to protect an entire dataset. The users get the flexibility to decide if the error to be marked as critical, high, medium or low.

RedPoint consolidates customer data from multiple sources, in any format, without coding. It enables users to integrate first, second, and third party sources to enable a complete and precise view of every customer. Businesses use RedPoint Data Quality solutions to automate data quality with zero latency, to make decisions which result into better customer experiences. The solution leverages advanced matching algorithms to deliver accurate and automated master customer data. The solution reads data across multiple sources, including CRM, ERP, and all major databases.

The Uniserve Customer Data Platform provides a multi dimensional view whereby all customer data is consolidated into a single dataset. It then creates a Golden Profile that delivers consistent high-quality data required for successful customer data management on the Customer Data Platform. The platform offers better scaleability which allows businesses to choose the data sources to be integrated. It manages customer data without interrupting running businesses and also provides quicker deployment and rapid return on investment (ROI).