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Over the past few years, many enterprises have adopted agile methodologies as iterative and evolutionary development have become the foundation of modern software. They have been instrumental to the incorporation of integration and collaboration techniques as a way to improve the customer experience and continuous delivery. Today, data is growing rapidly and data volumes are exploding for each new data source. Originating data sources can be traced back to business software like CRM, ERP, supply chain management, and finance and accounting systems.

When it comes to managing and applying data in the best ways to take the guesswork out of analysis and promote business goals, there are still silos of data that remain inaccessible across the organization. More organizations are discovering how data integration enables them to tackle the challenges of data-driven disruption in the agile world. Software integration creates opportunities for businesses by enabling these systems to synchronize data, but they still must figure out how to best identify, access, and analyze it.

The rise of cloud technologies and virtualization makes data integration one of the most important functions of modern-day business. It offers businesses scalability and agility apart from the cutting-edge solutions needed to work with today’s digital disruptions. Businesses can gain the upper hand by adopting automated integration, the benefits of which go beyond enterprise integration to cloud technologies.

Meeting Challenges of the Digital Age

The data integration approach aims to extract information from the source, modify its structure and content, and place it in the target system(s). To do so has typically required developers to use manual coding to establish and execute the flow of data. While earlier technologies were developed to manage a small set of connectivity requirements between systems of record, cloud computing opens the door to easily integrating other emerging technologies.

Traditional, on-premise ETL (extract, transform, and load) tools should enable organizations to manage massive data sets. The majority of an ETL team’s time has been spent enhancing an array of cloud apps, which traditional, on-premise ETL software programs cannot do. As a result, organizations are often unable to respond quickly enough to new opportunities and threats.

Managing data integration with a manual approach can be complex and difficult. Conventional, on-premises ETL tools are unable to interact and govern the flow of information and business processes that today’s use cases demand. When managing data arriving at high speeds from various channels in varying volumes, it’s crucial that you do it right, that no data is processed erroneously or slips through the cracks altogether. A cloud-based integration solution modeled as an iPaaS (Integrated Platform as a Service) will utilize a common, user-friendly interface that enables users in the organization to easily design and execute automated data flows that will quickly process, analyze, and move incoming data with little to no manual intervention.

The Right Combination of Expertise, Tools, and Strategy

As your company navigates through the complicated data integration journey, you must consider how to adapt your strategy to hybrid environments and virtual infrastructure while ensuring security and compliance. How confident are you in your organization’s ability to manage growing volumes of data across multiple business applications? Despite the strong focus on data integration efforts, many organizations do not believe their programs are fully equipped to handle the current flows of data from varying sources. Fortunately, this is easy to achieve with the right set of expertise, automation platform tools, and strategy.

With extensive experience managing digital transformation and IT implementations, Prime is the perfect partner and can guide you every step of the way through the process.

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