Data Integration
Data integration services is the process of combining data from different sources into a single, unified view. Integration involves data acquisition from various sources, cleansing, ETL mapping, and transformation steps, culminating in effective data available for analysis tools to provide a unified and more valuable view. Data integration helps businesses make faster and better decisions. Currently, the explosion in the number of data sources and data volume due to big data, IoT, SaaS, cloud activities, and others is making data integration more important.
KEY BENEFITS OF DATA INTEGRATION
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Improved collaboration and standardization of systems
IT needs a secure solution to deliver data through cross-business self-service access, allowing employees in different locations within an organization to access shared and personal project data.
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Time savings and increased productivity
Automating the creation of a unified view eliminates the need for manual data collection, allowing employees to spend more time on analysis and execution, thus improving organizational productivity and competitiveness.
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Reduced human error
Manual data collection requires operators to know each storage location and account, increasing the likelihood of human error. Integrating data into a centralized system can identify quality issues and necessary improvements, resulting in more accurate data.
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Providing more valuable data
Over time, data integration enhances the value of enterprise data by identifying quality issues and necessary improvements, resulting in more accurate data.
Uses of Data Integration
IoT
Data integration allows for the integration of data from multiple IoT devices, making it easier to access and extract further value.
Database replication
Data integration can replicate data from databases such as SQL Server, Oracle, MongoDB, or MySQL to cloud data warehouses.
Used for big data
For large network companies that may have billions of customers continuously generating data, the need for complex data integration has become an increasingly vital aspect of big data companies' operations.
Data lake development
Data integration can move data from isolated local platforms to data lakes, increasing its value.
Data warehousing
Data integration can combine data from various sources into a single data warehouse for analysis and business purposes.
Simplifying Business Intelligence
Data integration can move your marketing data to a place where analysis and related operations can be performed. By providing a unified data view from multiple sources, data integration simplifies the Business Intelligence (BI) analysis process.
