DATA INTEGRATION IN THE CLOUD

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Cloud data integration is the process of integrating data from multiple enterprise applications like ERP, CRM, HCM and bringing together in a Data Warehouse or Data Lake in the cloud. This complex integration can be orchestrated by cloud data integration tools.  

Worksys Data Integration services can help extract value from data by bringing together capabilities in Data Integration, Data Quality, and Data Governance in the cloud.

Benefits 

1.   Scale resources on the fly.

2.   Reduced complexity of tracking and upgrading underlying server software.

3.   Flexibility for your growing storage and analysis needs.

DATA INTEGRATION AND MACHINE LEARNING

The value of your data is only as good as the insights you can extract from it. These insights are represented by relationships among variables in your data set. Sticking to a single data set as the sole data source limits the ability to uncover important insights about any phenomenon you study. In business, the practice of machine learning is to find useful patterns in data relies on integrating data silos, allowing access to all the variables you have. In turn, businesses can leverage machine learning to get the insights from the integrated data sets, allowing them to create more accurate models that drive business outcomes.  

Benefits:  

1.   Increase the value of data through unified systems 

2.   Recommending the right product, better customer segmentation and prediction of life time value and easy fraud detection   

 


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DATA INTEGRATION AND ENTERPRISE SYSTEMS

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Enterprise systems fall into four categories: Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), Human Capital Management (HCM) and Sales Force Automation (SFA).

It is complex to integrate data from these enterprise systems. However, powerful insights can be generated by having an organization view after data integration.  

Benefits:  

1.     Improvement in management and sharing of data

2.     Automation of the workflow

3.     Flexibility in IT infrastructure

4.     Creating new opportunity

5.     Increasing efficiency

DATA TOOLS

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