Data integration tools enable organizations to consolidate data from multiple heterogeneous sources into a coherent data store, which provides a unified view and ensures consistent access, availability, and data delivery across an enterprise to produce effective actionable business insights. Data integration tools also enable organizations to reduce IT and infrastructure expenses, free up resources, enhance […]

Data Quality Tools helps organization to identify and examine data quality issues, strengthen governance information, improve compliance, reduce operational risks, and support in getting informative insight through analytics tools. The tools typically perform functions such as data profiling, scrubbing, matching, transformation, data augmentation, and others to address data quality concerns. Data quality tools may also […]

Master data management (MDM) is a solution that provides a view of enterprise data assets and retrieves a single view of enriched data by determining and matching it to master data from multiple sources. This master data includes uniform data sets of people, process, product, customer, suppliers, location, and business entities of other IT system. […]

Intelligent Application and Service Monitoring (IASM) provides a single unified view of the service components by enabling end-to-end real-time user monitoring capabilities, promoting intelligent root cause analysis (RCA) along with predictive guidance and prescriptive remediation. IASM enables organizations to derive insights from metrics, events, transactions, and logs (METL), generated via monitoring software that ingests and […]

Quadrant Knowledge Solutions Market Insights research provides detailed description on the drivers behind adoption of data governance and why organizations should consider implementing automated data governance for their growth. According to Manish Chand Thakur, Analyst at Quadrant Knowledge Solutions, “The data governance market has been gaining sustained traction due to the increasing complexity of – data […]

Data preparation tools enable organizations to identify, clean, and convert raw datasets from various data sources to assist data professionals in performing data analysis and gaining valuable insights using machine learning (ML) algorithms and analytics tools. These data sets are used for business analysis, which enable organizations in decision-making through cleansing, accessing, validating, and transforming […]

Data preparation tools enable organizations to identify, clean, and convert raw datasets from various data sources to assist data professionals in performing data analysis and gaining valuable insights using machine learning (ML) algorithms and analytics tools. These data sets are used for business analysis, which enables organizations in decision-making through cleansing, accessing, validating, and transforming […]

Data masking is a process of protecting the sensitive and private information of the organization, such that a structurally similar but inauthentic version of the organization’s data is created while ensuring that its format remains similar to the original data sets and only the values are changed and scrambled appropriately. Data masking is also known […]

Data governance is a collaborative practice that allows businesses to discover and manage their data, ensuring that it is secure, accurate, and usable. Data governance solutions increase corporate visibility by defining processes, roles, and policies that enable organizations to achieve their objectives. The solution typically performs functions such as master data management, data quality, data […]

Metadata management administrates and describes data assets and the context in an organization, as well as helps establish policies and processes on data governance and data searchability to maximize the utilization of data. Metadata unlocks the assets that are unutilized and unidentified by the organization. It is an approach that drives enterprises to organize their […]