Statistics from MarketsandMarkets Research show that CAGR on the data integration market will sustain a 13.7 percent growth rate from 2017 to 2022, reaching a whopping USD 12.24 billion by 2022.
In a data revolution era, people have started realizing how significant data is for their company. By the end of 2020, nearly 1.7 megabytes of data will be created every second for each person. The pandemic crisis will wreak havoc and generate a humongous amount of data. As a result, data will become a critical asset for every organization. Thus, data-driven strategies project to be a competitive imperative to survive in the industry. To support business objectives like CRM, ERP systems, finance, and e-commerce platforms, enterprises need to maintain their data. However, most often it is seen that the data overlaps with other systems.
The present day business enterprises operate in a dynamic environment. Few years ago, businesses relied solely on the enterprise system and on-premise software. These applications could help accomplish certain tasks. As business processes and the needs evolve, so will the software applications the company relies on to conduct critical tasks evolve.
This is where application integration and data integration becomes critical for enabling a seamless end-to-end integration across business functions.
Application Integration and Data Integration: The Game Changer for an Intelligent Enterprise
Intelligent automation or robotic process automation (RPA) is transforming the way business functions in every sector – from detecting and producing swaths of data to automating the entire workflow.
In the present scenario, organizations have already started applying application integration, data integration, and the robotic paradigm to automate their workflows and processes.
Application integration has the power to bridge the gaps that exist between on-premise and rapidly-evolving cloud-based enterprise applications. Using application integration, companies can completely cut overhead costs, most specifically in information technology (IT) while increasing productivity, efficiency, and scalability.
Though cloud-based applications offer an easy way for companies to execute tasks, these applications do not always offer the best solutions to a business problem. In such situations, companies are forced to embrace application integration as a solution to integrate data between the existing apps and new apps.
Some of the benefits of application integration include:
- Boost the time-to-market – most often businesses fall back in generating higher ROI due to delayed technology deployment. However, by integrating multiple applications companies can now boost their ROI and fast-track their business operations.
- Facilitates data visibility – application integration offers point-to-point integration along with augmented data visibility empowering businesses to observe, analyze, and embrace data throughout the workflow.
- Automated process – although application integration may vary from one industry to another in its business procedure, it will still help facilitate smooth data transfer for different kinds of workflows.
- Interoperability – unique integration of different applications offers a holistic view of data. This happens when users get an integrated surface to access data and functionality of various platforms.
What about data integration? Terms like “application integration” and “data integration” have been used interchangeably especially when we talk about integrated applications and services. However, the concept behind each of these terms has two different meanings.
Data integration is about locating and gathering information from multiple disparate sources into a compiled and unified structure also termed as “batch-based data processing.” Data integration function in batches – this includes gathering data over time, storing the data, and finally processing it in the form of batches. The process need not be conducted in real-time. Having consolidated data in a single repository can improve the performance of the organization, gain actionable insights, and make more informed decisions to define the organization’s objectives.
Gone are the days when legacy data integration platforms were thought of as on-premise middleware solutions (ETL). Though modern cloud data integration solutions follow the same concept of data integration, it is used to integrate cloud apps or cloud to on-premise apps.
Thus, a subtle difference between application integration and data integration.
However, application and data integration are significant when evaluating integration solutions for cloud-based and on-premise service integration. Different integration services may require different methodologies and different sets of platforms. While application integration helps transform and transport data from one application to another, data integration is all about gathering data sets from multiple sources to a single repository.
Next Step: Solving Integration Problems with eZintegrations™
An integration platform as a service (iPaaS) also referred to as a “cloud integration platform,” is a managed solution for hosting, building, and integrating applications and cloud data. iPaaS solutions have become critical to manage the rising growth of the Internet of Things (IoT) and streaming data. As autonomous communicating devices exponentially grow on a business and consumer level, iPaaS solutions will be projected as the core facilitator to manage and integrate data within the IoT.
As cloud-based applications proliferate, modern, forward-thinking, and competitive organizations will have to move away from legacy integration to scalable cloud-based Integration Platform. Businesses are seeking newer integration strategies. eZintegrations™ is a low code, cloud-based Integration Platform as a Service that enables organizations to establish fast, efficient and secure integration solutions that can easily scale as per the growing business needs.
By end of 2022, about 85 percent of large organizations predict to have deployed some form of intelligent automation or robotic process automation (RPA), says Gartner.
Modern integration methods provide the right data agility and help organizations experience the power of iPaaS to meet any challenges.