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Leveraging Self-Service Integration to Supercharge Your ETL Capabilities

The ability to extract insights determine the quality of an organization’s decision-making. In other words, actionable insights underpin decision-makers. In fact, it’s the insightful information that not only helps companies make confident decisions but also improves their ease of doing business. For organizations to bolster their ‘decision muscle’ and ultimately drive value, the implementation of extraction, transformation, and loading (ETL) of customer data to deliver actionable intelligence is a huge challenge.

ETL flows or processes are often arduous to scale. It calls for full-time data engineers to develop and maintain the scripts that keep the data flowing. Every time there’s a change in schemas or APIs, the data integrators and analysts grapple to update their scripts to accommodate them, resulting in downtime and high operational overheads. With data coming from a different set of sources, teams find it challenging to maintain and refurbish critical ETL processes.

Along with that, companies find it difficult to create source-to-target data mappings for enabling data transformation; technical teams have to spend a lot of time and effort to map information when there are changes in the source and target systems. Problems like missing information or data being inserted into the wrong fields become apparent. Incorrect data mappings ultimately put organizations at risk while making decisions, which increases the chances of missed opportunities and lost revenue.

In order to resolve issues, organizations can rely on self-service to transform the way they extract, transform, and load customer data. Self-service integration not only helps organizations transform their ETL flows but also speeds up insights delivery and ultimately decision-making.

In this blog post, you’ll find out how self-service integration is enabling companies to supercharge their ETL capabilities to drive decision-making for faster revenue growth.

Transform ETL Capabilities Using Self-Service

A majority of companies spend weeks mapping disparate source data fields to target data fields or schemas in order to develop strong ETL flows. A lot of times they have to hand-code or rely on complex EDI mappings to create connections from the data source to the target schemas. Complex data sets and disparity in semantics have made it difficult for technical teams to create and maintain data mappings. While scarce data integration developers map and integrate complex data feeds, customers are left with no other option but to wait for relishing the promised value and so organizations are experiencing a financial decline.

The problem is gaining surge with the growth of a number of data sources and degree of heterogeneity. Extracting data from unstructured data sources, for example, emails, web pages or texts and then transforming and loading it into a data lake is arduous and expensive. Consequently, an organization’s decision-making capability takes a toll; the company fails to deliver delightful customer experiences and expand market share.

When a company utilizes self-service integration to supercharge the ETL capabilities, they can easily create faster value. How?

Self-service integration empowers non-technical business users to create new customer data connections in minutes—securely and easily. Business users can rely on easy screens, machine learning, and security protocols to easily onboard and manage bi-directional complex data and stream it in real-time to execute modern-day business transactions. This allows IT teams to focus on strategic tasks and drive governance as well as innovation.

Suffice to say, companies can transform their ETL to create faster customer connections, delight customers and create faster revenue.

Carving a Path to Improve Decision-Making and Faster ROI

A modern data integration solution enables companies to reimagine ETL capabilities and develop a resilient and well-instrumented ETL process. And in doing so, they are able to speed up insights delivery that directly elevates decision-making and value generation. While it puts the onus on the business users to get things done quickly, it keeps IT in control of the data governance.

Therefore, organizations can take a reimagined data integration approach to transform the way they extract, transact, and load customer data to them make better business decisions, speed operations, create stronger customer relationships, and grab a bigger market share.

 

Staff Writer at CPO Magazine