Frequently Asked Questions
What is the expected CAGR for the Data Quality Software market?The overall data quality tools market is expected to grow at a CAGR of 17.7% from 2017 to 2022.
What is the purpose of deploying data quality solutions?Data quality software refers to a wide range of tools and services specifically designed to deliver comprehensive and precise data to organizations. Data quality software vendors offer a broad range of functions and capabilities, which include data cleansing, profiling, parsing, monitoring, and enrichment. The data quality software allow organizations to comprehend, standardize, and monitor the data over the course of its lifecycle, ensuring continuous operation within the system. Ensuring data quality should be a paramount concern to the authorities, as a good dataset within an organization can be a key enabler to gain competitive advantage in the market by conducting better analysis and craft business strategies that will have long-term implication on realizing organizational goals. The 6 key considerations of data quality, which every enterprise should seek for, include consistency, conformity, completeness, uniqueness, accuracy, and integrity of data.
Who would need to deploy Data Quality solutions?Data quality solution providers, Governance, Risk Management, and Compliance (GRC) solution providers, Consulting companies, Government agencies, Risk assessment service providers, Investors and venture capitalists, Value-added resellers, Small and Medium-Sized Enterprises (SMEs) and large enterprises, Third-party providers, Consultants/consultancies/advisory firms, Support and maintenance service providers and Technology providers etc.
What are the major application areas where Data Quality Tools prove to be effective?Data quality tools are generally effective in four areas: data cleansing, data integration, master data management, and metadata management. The tools generally identify errors with the help of algorithms and lookup tables. They also helps in managing multiple tasks, that include validating contact details and mailing addresses, data mapping, data consolidation associated with ETL tools, data validation reconciliation, sample testing, data analytics etc.
Infosolve's Data Quality software identifies and eliminates nulls and invalid data. It also discovers data patterns and frequency counts. The company's Data Enhancement provides organizations an opportunity to supplement information in their existing data and also supports organizations through their planning cycles. The company's Data Quality solutions offer well-defined data profiling capabilities which are important for the identification of data quality problems. OpenCDI has been developed on the Infosolve’s innovative Zero Based solution platform which delivers maximum flexibility with the open source technology and high ROI.Read less Read more
Innovative System's Enlighten instantly scales from thousands of records to hundreds of millions. The solution's in-depth understanding of data context eliminates errors and saves considerable effort and money. The company deploys teams who have expertise in data quality which provides seamless and rapid implementation along with consistent support. The company provides multiple delivery options such as on-premise and SaaS or a combination of both, depending on the business situation. These options are fully scalable.Read less Read more
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