5 Elements of a Data Integration Strategy that Will Simplify Your Cloud Journey


You want to run your business cross clouds, but without integration it can be hard to succeed. Missing out on technology integration can cause some real damage as most of the data is silo’d in legacy IT. Therefore, you will need a Hybrid IT data pipe to move workloads from monolithic legacy systems to next generation Software as a Service (SaaS) based system. You should envision a data integration strategy to mitigate issues that reduce efficiency drags and slow down agility.

Here in this blog, I will outline different data integration capabilities that will define your success with cloud technologies.

  1. Internet of Value: Data is not an ordinary asset anymore. It is a mission-critical primary asset for organizations. Especially when you are focused on ‘internet of value’ rather than ‘internet of information’ while creating integration workflows. Simply processing the data is not enough and it should be aligned with business objectives as per usefulness, condition, relevance and business relationships. You need to replace the multiple, redundant point-to-point integrations with automation to support business processes and operations.


  1. Data Quality: A number of factors can impact the data integrity in a hybrid environment where the relationships between data elements are not clearly defined. Data errors proliferate during bulk data movement across heterogeneous systems and disrupt information exchange between partners. Effective integration involves right mapping between data elements for supporting complete data object transactions.


  1. Partner Data Exchange: You need to make the partner data exchange fast and smooth. This will make your organization become easier to work with. Envision a model for smoother partner data exchange that can help you drive business growth and reach revenue time faster. Infuse scalability with modularized and loosely-coupled integrations to help partners to connect with your cloud and on-premise business systems and exchange data faster.


  1. Data Governance: There are several things to consider while integrating on-premise and cloud environment, i.e., consolidation, data feeds, database synchronization, SaaS integration, etc. The data integration strategy should enable data governance from a unified interface. A comprehensive strategy enables business users to perform zero downtime consolidation for efficient shared services delivery. There should be a failback option to switch over to the old network in case of errors with new system. This eliminates cloud risks and harnesses more value out of the cloud or SaaS investment. It also helps in reducing implementation time and costs and standardizing data exchange in a hybrid IT environment.


  1. Do-it-yourself (DIY) Integration: Many organizations still view integration with a tunnel vision. However, the underlying API and point-to-point connectivity approach don’t scale to support pervasive integration needs. The APIs change over a period of time and add on to the IT complexity. Disruptions occur whenever there is a change in the IT setup. IT teams spend huge time in fixing these issues. Smart organizations are circumventing these challenges with a DIY approach. This approach enables business teams and not IT to build integration workflows and bring data from any source.

Factoring these capabilities into the integration strategy will help you set up a future-ready architecture that promises lasting success from cloud investment. The right strategy will make all the difference and keep you ahead of the rest.