Cloud computing has become the latest computing platform, offering substantial benefits to both business and IT. There are three main types of cloud computing technology:
1. Software as a Service (SaaS) provides business users with cost-effective, multitenant solutions that are easy to provision, easy to manage, and easy to use.
2. Platform as a Service (PaaS) allows developers and IT to build custom applications and run them in the cloud.
3. Infrastructure as a Service (IaaS) provides IT with an economical infrastructure that offers virtually unlimited server and storage resources that can be provisioned as and when required, on a "pay as you go" or standard licensing approach
The rapid adoption of these cloud solutions has resulted in more fragmented data and the need to integrate data “in the cloud” with data in on-premise applications and databases. Some common uses cases for cloud data integration include:
* Back office synchronization. As more front office applications (e.g., sales force automation, customer service, human resources) are deployed in the cloud, your organization needs to synchronize the data within them with back office applications (e.g., general ledger, accounts payable, payroll). This synchronization is critical to ensuring timely, relevant, and trustworthy information is delivered throughout your enterprise.
* Customer master synchronization. Beyond the data that now resides in the cloud, your organization may still have financial data locked in Oracle applications and their customer master data in SAP. To break down these data silos and improve business processes, you need a single view of customer data. A cloud data integration solution can help create that single view, which can have positively impact on both customer satisfaction and your bottom line.
* CRM integration. Your sales organization wants a single view the customer—orders in line with Account and Opportunity information. What about Cases, Leads, Campaigns? With more organizations adopting Salesforce CRM, the demand for self-service cloud-based data integration that can be managed by nontechnical business users is also growing.
* Data migration. As your organization modernizes its IT infrastructure by moving off legacy applications on premise to new cloud-based applications, you need to have confidence that you can easily migrate data to and from the cloud. Similarly, if your company or department has merged with another, or you’ve acquired a new entity, you need to migrate and merge data quickly to start recognizing return on your investment.
* Data replication. Many companies are required to keep an on-premise copy of all cloud-based data for compliance, disaster recovery, or business intelligence reporting purposes.
* Business / IT alignment. Line of business is administering the SaaS applications and IT wants to avoid data silos and untrustworthy point solutions. The right approach to cloud data integration can play a key role in aligning business users with IT.
* Data Archiving. For regulatory compliance, organizations are required to retain data for a longer period, sometimes up to 10 years. Inactive data from enterprise applications, such as Oracle E-Business Suite, PeopleSoft, Siebel, SAP, and other custom applications and databases can be archived to on-premise or cloud storage.
* Legacy application retirement. Many companies spend significant amount of their IT budget maintaining legacy applications which have depreciated in business value. The data in these legacy applications can be retired to on-premise or cloud storage, and yet remain easily accessible for reporting or compliance audit purposes.
To gain full value from your enterprise data—whether it resides in the cloud or on premise—your organization must be able to access, integrate, and trust them. You need a comprehensive, unified, open, and economical cloud data integration solution.
SOURCE:http://www.informatica.com/solutions/on_demand/Pages/index.aspx
1. Software as a Service (SaaS) provides business users with cost-effective, multitenant solutions that are easy to provision, easy to manage, and easy to use.
2. Platform as a Service (PaaS) allows developers and IT to build custom applications and run them in the cloud.
3. Infrastructure as a Service (IaaS) provides IT with an economical infrastructure that offers virtually unlimited server and storage resources that can be provisioned as and when required, on a "pay as you go" or standard licensing approach
The rapid adoption of these cloud solutions has resulted in more fragmented data and the need to integrate data “in the cloud” with data in on-premise applications and databases. Some common uses cases for cloud data integration include:
* Back office synchronization. As more front office applications (e.g., sales force automation, customer service, human resources) are deployed in the cloud, your organization needs to synchronize the data within them with back office applications (e.g., general ledger, accounts payable, payroll). This synchronization is critical to ensuring timely, relevant, and trustworthy information is delivered throughout your enterprise.
* Customer master synchronization. Beyond the data that now resides in the cloud, your organization may still have financial data locked in Oracle applications and their customer master data in SAP. To break down these data silos and improve business processes, you need a single view of customer data. A cloud data integration solution can help create that single view, which can have positively impact on both customer satisfaction and your bottom line.
* CRM integration. Your sales organization wants a single view the customer—orders in line with Account and Opportunity information. What about Cases, Leads, Campaigns? With more organizations adopting Salesforce CRM, the demand for self-service cloud-based data integration that can be managed by nontechnical business users is also growing.
* Data migration. As your organization modernizes its IT infrastructure by moving off legacy applications on premise to new cloud-based applications, you need to have confidence that you can easily migrate data to and from the cloud. Similarly, if your company or department has merged with another, or you’ve acquired a new entity, you need to migrate and merge data quickly to start recognizing return on your investment.
* Data replication. Many companies are required to keep an on-premise copy of all cloud-based data for compliance, disaster recovery, or business intelligence reporting purposes.
* Business / IT alignment. Line of business is administering the SaaS applications and IT wants to avoid data silos and untrustworthy point solutions. The right approach to cloud data integration can play a key role in aligning business users with IT.
* Data Archiving. For regulatory compliance, organizations are required to retain data for a longer period, sometimes up to 10 years. Inactive data from enterprise applications, such as Oracle E-Business Suite, PeopleSoft, Siebel, SAP, and other custom applications and databases can be archived to on-premise or cloud storage.
* Legacy application retirement. Many companies spend significant amount of their IT budget maintaining legacy applications which have depreciated in business value. The data in these legacy applications can be retired to on-premise or cloud storage, and yet remain easily accessible for reporting or compliance audit purposes.
To gain full value from your enterprise data—whether it resides in the cloud or on premise—your organization must be able to access, integrate, and trust them. You need a comprehensive, unified, open, and economical cloud data integration solution.
SOURCE:http://www.informatica.com/solutions/on_demand/Pages/index.aspx
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