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Cloud Data Hub vs Data Lake

    Home Uncategorized Cloud Data Hub vs Data Lake
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    Cloud data hub

    Cloud Data Hub vs Data Lake

    By admin | Uncategorized | Comments are Closed | 25 August, 2022 | 1

    What is Bizintel360™ Cloud Data Hub

    Bizintel360™ self-service data analytics platform, where enterprise users can connect the Cloud Data Hub with any ERP, many different data visualization tools, and provide an intelligent real-time data analysis across the business without any coding required.

    Data Hub facilitates the rapid acquisition of historical and trending patterns across different segments of clients. Data is collected in real time from a variety of sources, such as social media, emails, web, app details, wiki, clickstream, blogs across all distributed file systems, and the NoSQL data. It is then categorized and constructed based on preferences, needs, and feelings. This allows businesses to develop a variety of functions throughout the customer life cycle, while overcoming cost constraints and meeting regulatory requirements.

    Why Need Data Hub?

    Data Hub is an open format, so users avoid getting trapped in the system as a data repository, which has become increasingly important in modern data creation. Data hub last much longer and is less expensive, due to their ability to measure and use storage. Additionally, advanced analytics and machine learning in informal data are some of the most important factors for businesses today. The unique ability to import raw data in a variety of formats (structured, informal, partial), and other stated benefits, makes the data hub a clear choice for data storage.

    What is Data Lake?

    A data lake is a central cloud store that can store large amounts of structured and unstructured data from local or cloud-based systems (ERPs, CRMs, HR systems, or IoT devices). It uses a flat architecture that allows data to be stored in its native format, making the solution less expensive, easier to use, and stored.

    Benefits of Using Bizintel360™ Cloud Data Hub

    Data hub for any ERP
    By implementing Bizintel360™ connect the data lake with the Netsuite ERP, Oracle Cloud ERP, Oracle EBS, SysPro and multiple other business applications without any technical expertise.

    Connect with multiple data sources and formats
    The data lake can be connected via PowerBI/Tableau/Cognos/ Bizintel360™ etc to perform data analysis and create reports/dashboards quickly.

    Self-service analytics
    Bizintel360™ is a complete self-service no code tool to derive advanced data analytics without any programming.

    No data modeling and no ETL required.
    Bizintel360™ enables low-code data ingestion and connects data source of any format. Visualization of charts and graphs is rapid. No ETL or complex technology overhead

    Real-time streaming of data into data hub.
    Bizintel360™ is a cloud native advanced data analytics platform that provides data supply and intelligent real time analysis across the enterprise without any code.

    No datawarehouse needed
    Bizintel360™ data lake is more efficient at using large amounts of integrated data and in-depth learning algorithms. Stream data in real-time or defined frequency to the data lake.

    Bizintel360™ Cloud Data Hub Use Cases


    Consolidated reporting from multiple ERP systems

    By implementing Bizintel360™ connect the data lake with the Netsuite ERP,

    Oracle Cloud ERP, Oracle EBS, SysPro and multiple other business applications

    without any technical expertise.

    Incident Management Analytics

    Spot the area for improvement with Incident management analytics and drive

    efficiency with a data driven approach to analyze incident data, reducing

    manual analysis and increasing productivity.

    Product Quality Analytics
    Identify the root cause of problems in quality events. Customer and non-conformance reports across the supply chain. Take corrective action on compliance, suppliers, designs, and manufacturing.

    Supplier and Customer Data Analytics
    Collect data from multiple channels and perform master data management

    cloud data hub, data lake

    admin

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