Evaluate a Business Intelligence Solution That Is Co-hosted with Your Data

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About InetSoft

Since 1996 InetSoft has been delivering easy, agile, and robust business intelligence software that makes it possible for organizations and solution providers of all sizes to deploy or embed full-featured business intelligence solutions. Application highlights include visually-compelling and interactive dashboards that ensure greater end-user adoption plus pixel-perfect report generation, scheduling, and bursting. InetSoft's patent pending Data Block™ technology enables productive reuse of queries and a unique capability for end-user defined data mashup.

This capability combined with efficient information access enabled by InetSoft's visual analysis technologies allows maximum self-service that benefits the average business user, the IT administrator, and the developer. InetSoft was rated #1 in Butler Analytics Business Analytics Yearbook, and InetSoft's BI solutions have been deployed at over 5,000 organizations worldwide, including 25% of Fortune 500 companies, spanning all types of industries.

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What Is Co-Hosting, and What Are Its Benefits?

Co-hosting a Business Intelligence (BI) application and data sources involves the simultaneous hosting or deployment of both the BI software and the underlying data sources in a shared environment. This arrangement is characterized by the integration of the BI application with the data sources, allowing for seamless data access, analysis, and reporting. Here are key aspects and considerations associated with co-hosting a BI application and data sources:

  1. Shared Infrastructure:
    • Definition: Co-hosting typically involves deploying both the BI application and relevant data sources on the same infrastructure, whether it's on-premises servers or cloud-based platforms.
    • Benefits: Shared infrastructure can lead to better performance optimization, efficient resource utilization, and simplified management.
  2. Unified Access to Data:
    • Definition: Co-hosting ensures that the BI application has direct and unified access to the data sources it needs to analyze and present information.
    • Benefits: Streamlined data access facilitates real-time reporting, reduces latency, and supports comprehensive analytics without the need for extensive data transfer.
  3. Integrated Data Processing:
    • Definition: Data processing tasks, such as ETL (Extract, Transform, Load) operations, may be performed within the same hosting environment to prepare and transform data for analysis.
    • Benefits: Integration of data processing with the BI application can enhance efficiency, simplify data workflows, and support the delivery of timely insights.
  4. Optimized Query Performance:
    • Definition: Co-hosting allows for optimized query performance as the BI application can directly query the data sources without the need for extensive network communication.
    • Benefits: Reduced latency in querying data leads to faster response times, enhancing the overall user experience and analytical capabilities.
  5. Security and Access Controls:
    • Definition: Co-hosting requires robust security measures to ensure that access to both the BI application and data sources is controlled and only authorized users can interact with sensitive information.
    • Benefits: Centralized security measures provide a unified approach to managing access controls, encryption, and data protection.
  6. Scalability and Resource Allocation:
    • Definition: The co-hosting environment should be scalable to accommodate growing data volumes and increasing demand for BI services.
    • Benefits: Scalability ensures that the infrastructure can adapt to changing business needs, supporting additional users, data sources, and analytical complexity.
  7. Maintenance and Updates:
    • Definition: Co-hosting requires careful planning for maintenance and updates to both the BI application and data sources to ensure compatibility and uninterrupted service.
    • Benefits: Coordinated maintenance activities reduce downtime, enhance system reliability, and facilitate the adoption of new features or improvements.
  8. Collaborative Analytics:
    • Definition: Co-hosting fosters collaborative analytics by enabling multiple users to interact with the BI application and shared data sources concurrently.
    • Benefits: Collaborative analytics supports teamwork, knowledge sharing, and collective decision-making within the organization.
Learn about the top 10 features of embedded business intelligence.

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