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W H I T E P A P E R

© 2017 Persistent Systems Ltd. All rights reserved. 12

www.persistent.com

For companies that are just starting to use cloud computing, most of the usage will be for new applications, with stand-

alone being the low-hanging fruit. Those that have already critical cloud apps in use (e.g.,

salesforce.com

), have

already solved the cultural and some technical problems in transitioning to cloud computing, so data management in

cloud databases will make more sense for them.

Much of the cloud integration challenge centers on connecting cloud and on-premises applications (not just moving

data from an on premise database to a cloud data warehouse), which is developed in our next section.

3.1.3 Cloud Application Integration

In the early days, the first cloud application integration tools focused largely on integrating

Salesforce.com,

the

earliest successful cloud application, with packaged ERs providers (SAP, Oracle) and other on premise applications,

usually by moving files in batch from the cloud to on premise systems.

Today’s organizations have adopted a variety of cloud and on premise applications to manage their business. IT

departments are now expecting that hybrid system landscapes will become the standard way to manage the

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organization’s IT assets in the future . In fact, cloud applications will probably be favored over on premise applications

7

when there is a choice, but on premise applications will not go away anytime soon . On these hybrid landscapes,

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process and data integration across the cloud / on premise boundaries is a must to prevent

data silos

and allow

seamless end-to-end business processes.

To illustrate this trend with a specific example, let’s use the CRM (Customer Relationship Management) paradigm.

When they were first introduced, the basic thinking was that the company owns the relationship with the customer. An

efficient CRM was one that would allow to easily create new fields and do better customer segmentation. Data quality

management was focused on rules and control for create-read-update-delete (CRUD) operations. CRM is now

changing towards a dynamic, highly personalized and multi-channel collection of interactions where customers enter

in different kinds of engagements with a company. In this new setting, customers tend to be more self-enabled and

interact with the company through different applications: first maybe a marketing app, then an onboarding app, then

one or more services apps; some are deployed in the cloud, some on premise. It is no longer a CRM package that

owns the relationship. It now becomes necessary to seamlessly manage these interactions. In this setting, best-in-

breed customer MDM systems are not those that just govern customer master data through CRUD operations but

those that are focused on automated completion of customer master data along the paths a customer takes in his

journey with the company.

The following requirements on data integration and governance on these hybrid landscapes were drafted in large

enterprise projects we have participated in the past, and they include:

Real-Time Business Process Integration

Agility, in particular in integrating new sources/targets

Responsiveness to new functionality and technical changes

Batch and real time data movements on both individual records and collections of records

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According to Gartner, 70% of enterprises will pursue a hybrid cloud hosting model by 2015

. [6]

7

A recent TechTarget surve

y

shows that more than three-quarters of organizations (77%) have either all or most applications running on-premises.

[17]

8

See the Glossary sectio

n

for a definition of this term.

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