Top Trending 2022
Enhanced data quality, driven by metadata and AI, is a key factor propelling the market for data quality solutions. The enhanced capabilities of leading providers provide enhanced insights and automation. This research assists data and analytics leaders in comprehending the vendor landscape and selecting the optimal option.
Strategic Planning Hypotheses
> By 2022, sixty percent of enterprises will utilise machine-learning-enabled data quality (DQ) technologies to eliminate human data quality improvement chores.
> In order to effectively support their digital business objectives, fifty percent of enterprises will implement current data quality solutions by 2024.
Definition/Description of the Market
Data quality assurance guarantees that data is "purpose-fit" and trusted by users within the context of existing business processes, analytics, and developing digital business scenarios. Traditionally, data quality has been mandated to satisfy compliance and governance requirements and to decrease operational risks and expenses. Increasingly, data quality becomes a prerequisite when amplifying analytics for improved insights and data-driven decisions based on trust. Data quality is a competitive advantage that data and analytics (D&A) leaders must interact with regularly in order to achieve their objectives.
In recent years, the data quality management technique has matured, and the vendor environment has shifted to meet the majority of market demands. It extends far beyond the realm of technology. Workflow, roles, cooperation, and processes are included (such as those for monitoring, reporting and remediating data quality issues). Market anticipates an increase in end-user demand for expanded data management and D&A governance capabilities. Consequently, the market for data quality solutions continues to interact closely with the markets for data integration tools, metadata management solutions, and master data management (MDM) products, which are all used to construct solid foundations with trusted data assets. Users anticipate seamless integration and compatibility between these items. Evaluation and selection of data quality solutions no longer require a high level of IT expertise. It now calls for increased collaboration with corporate executives and end users.
"Data quality solutions" refers to the methods and technology for discovering, comprehending, and fixing data faults that facilitate effective data and analytics governance throughout operational business operations and decision-making. The available bundled solutions offer a variety of essential features, including profiling, parsing, standardising, cleansing, matching, monitoring, rule generation, and analytics, as well as workflow, knowledge bases, and collaboration"
The focus of market perspective is on technologies or strategies that meet the present needs of end users. Data quality solutions market as stand-alone software products that provide the following data quality capabilities that enterprises require as part of their portfolio of data management solutions:
> Connectivity: The capacity to access and apply data quality rules to a vast array of data sources, including internal and external, on-premises and cloud, relational and non-relational data sources.
> Profiling, measurement, and visualisation of data: Data analysis capabilities that provide business and IT operations (especially those supporting business users) with insight into the quality of data and assist them in identifying and understanding data quality concerns.
> Monitoring: Capabilities that aid in the continuous knowledge and assurance of data quality by monitoring and alerting on potential data quality concerns or incidents.
> Parsing: the process of decomposing data into its component elements.
> Standardization and cleaning: In-built capabilities that adjust data for certain forms, values, and layouts based on government, industry, or local standards, business regulations, or knowledge bases.
> Matching, linking, and merging: In-built capabilities that match, link, and combine similar data items inside or across datasets, employing approaches like as rules, algorithms, metadata, and machine learning.
> Multidomain support: Capabilities bundled for specific data domains, such as customer, product, asset, or location.
> Address validation/geocoding: Capabilities that assist the standardisation and purification of location-related data, as well as the completeness of incomplete data in real-time or batch procedures.
> Curation and enrichment of data: Capabilities that incorporate data from external sources to increase completeness and provide value.
> Business rule development and implementation: Capabilities that design, deploy, and manage business rules that can be called for data validation reasons by the solution or by third-party applications.
> Process workflows and user interfaces that permit nontechnical business users to identify, quarantine, assign, escalate, resolve, and monitor data quality issues.
> Metadata management: Capabilities for capturing, reconciling, and interoperating metadata associated with data objects and data quality processes.
> Collaboration of data management strategies aimed at enhancing the communication, integration, and automation of data flows between data managers and data consumers within an organisation.
> Styles of deployment, hardware, operating system, and maintenance alternatives for deploying data quality operations.
> Architecture and integration: Commonality, consistency, and interoperability among the many data quality toolset components (including third-party tools).
> Usability: The solution's ability to engage and support the various roles (particularly nontechnical business roles) necessary for a data quality programme.
Top Trending 2022
Ataccama
Ataccama's main office is located in Toronto, Canada. Ataccama ONE Data Quality Suite is a data quality product. It is expected that Ataccama has about 400 clients for this product line. In addition, it provides two freemium data quality tools, namely Ataccama Data Quality Analyzer and Ataccama ONE Profiler. The majority of its operations are located in EMEA and North America, and the majority of its clientele are in the banking and securities, healthcare, and public sectors.
Datactics
Datactics is headquartered in Belfast, United Kingdom. Self-Service Data Quality platform, which consists of four components: DQ Manager, DQ Clinic, FlowDesigner, and AI Server, is the company's data quality solution. These product lines have approximately 110 clients, according to Datactics. The majority of its activities are located in EMEA and North America, and the majority of its clients are in the financial services, banking, and government sectors.
Experian
Experian's headquarters are located in Dublin, Ireland. Its data quality offerings include Experian Aperture Data Studio, Quick Address Systems (QAS) Pro (a web-based address validation application), and more services/products for data validation. These product lines have an estimated 6,400 clients for Experian. Geographically diverse, its clients are mostly in the financial services, health care, and retail industries.
IBM
IBM's headquarters are located in Armonk, New York. IBM InfoSphere Information Server for Data Quality, InfoSphere QualityStage, and Watson Knowledge Catalog (WKC) powered by Cloud Pak for Data are its data quality products. It is estimated that IBM has around 2,500 clients for these product lines. Its operations are geographically diverse, and it serves clients from several industries.
Informatica
The headquarters of Informatica are in Redwood City, California. Informatica Data Quality (IDQ), Informatica Cloud Data Quality (CDQ), Informatica Axon Data Governance, Informatica Data Engineering Quality, and Informatica Data as a Service are its data quality products. It is believed that Informatica has around 6,000 clients for these product lines. Its operations are geographically diverse, and it serves clients from several industries.
Innovative Systems
The headquarters of Innovative Systems is located in Pittsburgh, Pennsylvania. The Enlighten Data Quality Suite and FinScan, both of which live on the Synchronos Enterprise Customer Platform, are its data quality products. It is projected that Innovative Systems has 1,046 clients for these items. Its operations are predominantly in the Americas and EMEA, and the majority of its clientele are in the banking and securities, insurance, and media industries.
Melissa Data
The headquarters of Melissa Data are located in Rancho Santa Margarita, California. Contact Zone, Data Quality Suite, Data Quality Components for SQL Server, Sentient Suite, and Unison are its data quality products. An estimated 1,000 clients purchase these products from Melissa Data. Its operations are concentrated in North America, and the majority of its clients are in the communications, financial services, and healthcare sectors.
MIOsoft
The headquarters of MIOsoft is in Madison, Wisconsin. MIOvantage Platform and MIOvantage DQ Explorer represent its data quality offerings. These product categories have an estimated 465 clients for MIOsoft. Customers primarily hail from Asia. Approximately 80% of its revenue comes from Asia, and 45% of its customers largely work in the telecommunications business. In addition to having clients in North America and EMEA, the vendor also serves the insurance and public sectors.
Precisely
The headquarters of Precisely is located in Burlington, Massachusetts. It offers the Precisely Trillium, Precisely Spectrum, and Precisely Data360 product lines. These goods have approximately 4,000 clients, according to Precisely. Its operations are geographically diverse, and it serves clients from several industries.
Redpoint
The headquarters of Redpoint is located in Wellesley Hills, Massachusetts. Redpoint Data Management is a product for ensuring data quality. This product has approximately 300 clients, according to the provider. The majority of its activities are located in North America and EMEA, and the majority of its clients are in the retail, financial services, and healthcare industries.
SAP
The headquarters of SAP is in Walldorf, Germany. SAP Information Steward, SAP Data Services, and SAP Data Intelligence are the company's data quality offerings (formerly Data Hub). These product lines have an estimated 24,700 clients for SAP. Its operations are geographically diverse, and it serves clients from several industries.
SAS
The headquarters of SAS is in Cary, North Carolina. SAS Data Management, SAS Data Quality, SAS Data Loader for Hadoop, SAS Data Governance, SAS Data Preparation on SAS Viya, and SAS Event Stream Processing on SAS Viya are its data quality solutions. These product categories have an estimated 2,700 clients for SAS. Its operations are globally diverse, and the majority of its customers are in the banking, government, and services industries.
Syniti
The headquarters of Syniti is in Needham, Massachusetts. Its offering for data quality is Syniti Knowledge Platform. This product has approximately 450 clients, according to Syniti. Its activities are predominantly located in North America, EMEA, and Asia, and the majority of its clientele are in the pharmaceuticals and life sciences, manufacturing, and food industries.
Talend
The headquarters of Talend is in Redwood City, California. Talend Data Fabric and Talend Data Catalog are two of the firm's data quality offerings. This product line has approximately 1,854 licenced clients for Talend. Additionally, the company offers two freemium data quality products: Talend Open Studio for Data Quality and Talend Data Preparation Free Desktop. Its operations are geographically diverse, and the majority of its clientele are in the media services, financial services, and manufacturing industries.
TIBCO
TIBCO's headquarters are in Palo Alto, California. It is equipped with TIBCO Omni-Gen Data Quality (acquired from Information Builders). This product is anticipated to have over 320 clients for TIBCO. Its operations are predominantly concentrated in North America and EMEA, and the majority of its clientele are in the financial services, healthcare, and public sectors.
Explore more top trending software for 2022:
Explore more top trending software for 2022:
Loading...
Get found on AnyTechTrial
Get your product listed or
claim your profile on the world’s largest
marketplace for SaaS & Web3 applications.
