How a Cloud Data Integration Platform Can Help Your Business
A data-driven enterprise is always on the lookout for an innovative tool that is powerful, easy-to-use, and versatile. A cloud data integration platform is one such platform that creates agile data pipelines, with the various benefits associated with cloud storage and management. It enables a smart, enterprise-wide data catalog that can deliver more analytics-ready data for you to obtain deep insights.
Instead of relying on manual Extract, Transform and Load (ETL) for data integration tasks, enterprises are increasingly leveraging cloud data integration platforms. By using a single, unified data integration platform, you can extract, filter, transform, distribute, aggregate, index and synchronize data across multiple data stores faster and more efficiently.
Why you need a cloud data integration platform
Enterprises collect and analyze an ever-increasing volume and variety of data, and they need a data integration tool that allows them to work with a variety of data formats and data storage platforms. In addition, they need to be able to keep pace with dynamic, hybrid computing environments.
This is one of the fundamental reasons why companies are accelerating their move towards cloud-based data integration platforms. The benefits like flexibility, scalability, and cost-effectiveness are obvious and easy to discern. A cloud data integration platform enables easy access to the latest and most accurate data by accelerating the discovery and availability of analytics-ready data. The near-real-time, robust, flexible data aggregation features allow you to implement and accelerate data-driven initiatives. These are massive benefits when it comes to beating the competition with real-time insights and decision-making.
The 3 Cs of Data Integration: Cost, Constraints, and Complexity
Enterprises that need to democratize data access across the enterprise face a few common data integration challenges, especially concerning analytics modernization.
Increasing data transfer costs: The cost of data transfers is often overlooked. This is one reason enterprises find it difficult to predict cloud costs. It is difficult to control when multiple services are being used by different stakeholders. Moving data in and out of different platforms such as the cloud, CRM, eCommerce systems and other platforms involves significant data transfer charges.
Lack of resources: Finding the right people to do the work is always a challenge for enterprises. Data-hungry organizations require highly skilled and specialized knowledge workers. At most enterprises, IT teams struggle to meet the demands and this is where a lack of technically adept resources and self-service capabilities becomes a bottleneck.
Complexity: Companies are finding it increasingly difficult to connect cloud, SaaS and multi-cloud tools with on-premises environments. Disparate tools don’t work well together. There are differences in data granularity and schema that can be show stoppers. Data quality, richness and usability suffer because of these issues. The exponential increase in new platforms adds to the woes of data-driven enterprises.
How can a Cloud Data Integration Platform help?
Low-impact data aggregation: A cloud-based data integration platform enables low-latency data aggregation without impacting the performance of the data source. With the ability to schedule data collection or automate it, the data integration process can be made seamless.
Ease of use: The best data integration platforms come with an intuitive point-and-click user interface that simplifies configuration, accelerates implementation, and allows for continuous improvement, effectively lowering the total cost of ownership. Easy to use, drag-and-drop user experience is a force multiplier when it comes to the actual users. Empowering data analysts and data scientists with intuitive tools empowers them to focus on delivering insights rather than struggling with complex software or configurations.
Codeless self-service tools: Data integration platforms can increase resource productivity with low/no-code tools or self-service features for citizen data scientists and other users. When there is no manual coding required, it enables faster turn-around times when it comes to data transformation and ETL tasks. This is how the best cloud data integration platforms can become a powerful component of your analytics strategy. In addition, the ability to monitor and manage all data integration jobs and processes through a unified administration console or dashboard.
Scalability and flexibility: The ability to scale up as your data grows and support rapidly evolving use cases is essential. These capabilities are built-in when it comes to cloud data integration platforms. Using the power of the cloud and its elastic scalability, enterprises can achieve faster, cost-effective cloud-native data integration.
Single source of truth and enterprise data: A cloud-native data integration solution provides a unified platform for enterprise agility. Having all your data in one place, being able to slice and dice it whenever you want enables analytics on the go. Reducing the time it takes for manual ETL tasks, a cloud data integration platform enables faster analysis and decision-making cohesively.
Flexible, consumption-based pricing: A salient feature of most cloud data integration platforms is consumption-based pricing. This lets enterprises easily scale up or down as their needs change.
Aggregate, integrate and enrich your data: Cloud-native data integration platforms enable you to aggregate data from multiple data sources and enrich it with data from other sources at the same time. This ability to mix different data sources can lead to deeper insights and better decision-making.
Reduced complexity: The support for multi-cloud instances when using a single cloud-based data integration platform frees you from an enormous admin overhead. The reduced complexity helps enterprises focus on gathering insights and analyzing the data rather than trying to make different point solutions, platforms and data sources work together.
Leverage pre-built integrations: With a cloud-based data integration platform, the common data integration tasks such as data warehousing, data quality, migration and ETL become reusable and dynamic, even when data changes. 100+ pre-built integrations make it easy to aggregate and integrate data, end-to-end.
Simplified data integration: A cloud based data integration platform simplifies data integration challenges. Instead of multiple tools from different vendors, enterprises can use a single, cloud-native solution with simplified tooling that works in sync with all enterprise data sources such as Google Analytics, Shopify, FTP, S3, or PostgreSQL and more. Businesses get data quality as part of the data lifecycle. This enables accelerated deployment which in turn helps improve decision-making using deep analytical insights based on trusted data.
Become a data-driven enterprise with DataChannel
Disparate data integration platforms and point solutions lack cohesion and are limited in their data aggregation capabilities. While they provide ETL and some integration capabilities, they lack the enormous range of integrations, data sources and destinations DataChannel empowers you with.
We understand how digital transformation changes expectations. Better service, faster delivery, with less cost has never been more important than now. If businesses want to stay competitive, they need data that holds the insights and answers. It’s time to become more agile, uncover new growth opportunities and innovate.
Focus on the future with DataChannel, we empower you with the versatility you need to succeed as a data-driven enterprise. Get in touch with us to learn more about DataChannel, Request a Demo, or sign up for a Free 14-Day Trial. Now!