Some most prevalent 2018 trends of data integration

some most prevalent 2018 trends of data integrationThe present year, 2018 will be another banner year for the data integration market. Many new technologies such artificial intelligence, chatbots, sensors, machine learning, augmented analytics etc. will be producing overwhelming amounts of data.

Data integration is an invisible but an inevitable part of the functions to be carried out. Some of the following data integration trends will help in shaping your business and help in management of the data.

Hybrid IT integration

This is true that every company foresees to become a cloud-first enterprise in order to support the digital initiatives. Adoption of cloud will be on radar of both the ones upcoming now and the technological behemoths. Many challenges will be faced by the organizations who adopt cloud technologies. In this kind of situation, the digital initiatives will be supported by hybrid IT integration.

Business process integration

A business tends to become complicated when the number of departments, customers, and partners with whom the data is shared increases. In such a case, handling and managing the processes manually or on paper becomes a burden. The data integration based on cloud helps in streamlining the business processes and automating them. By creating the integrations in cloud, the integration projects can be completed faster. It is more affordable than the traditional integration solutions.

Data increase and costs go down

By dealing with more data regularly, the costs don’t rise up. With the involvement of cloud, the need to own the hardware and software is removed and there is no need to pay for the entry. The cost of licensing and upgrading won’t require any extra investment.


One thing that must be on the priority list of all the businesses is the sharing of important data with the major investors of the company. The batch processes need to be replaced with the real time processing in the data processing information as they appear on demand. Data availability in real-time helps in improving insights and helping with the optimization process.

Internet of Things

It has been found that by 2020, there would be 21 billion users of internet of things. It is likely that your business needs to utilize certain types of IoT devices, especially in supply chain management.

Centralized data management architecture

A centralized data integration platform will become mission-critical for the organizations. The main focus of the integration vendors will be on incorporating low latency, cost-efficient features for streaming the data.

Master data management

Have you ever thought of improving the data management and drive down integration cost? This is a million-dollar question that perplexes application leaders and data scientists. In order to address these needs, the business users will be able to manage the collapsing data formats and other policies linked with them. the business users will get access to the accurate data, that is further helpful in making real time business decisions.

Secure data bridge

The vendors of the data integration will be forced to pervade more safety arrangements in the solution that is being offered. It should be the responsibility of the organizations that the integration solution they are choosing has end-to-end encrypted environment for protected data.

These are some of the most prevalent trends of data integration that you must know.

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