Organizations in the U.S. and U.K. lose roughly $140 billion each year as a result of disconnected data, according to Vanson Bourne, an independent research firm. Among other things, these costs stem from wasted time and resources. Seasoned programmers, engineers, and data architects devote considerable energy – too much, frankly – to integrating disconnected data for their organizations.
Another study by Vanson Bourne reveals that IT decision-makers spend 20 percent of their time manipulating and preparing data for use. This includes low-level tasks like manually integrating datasets, applications, and systems. What’s more, research shows that a whopping 90 percent of employees – among a group of 500 IT decision-makers and business stakeholders – are burdened by repetitive tasks that could easily be automated. Again, many such tasks deal with arduous, code-heavy integrations.
Clearly, the act of integrating disconnected data is an expensive, time-intensive problem. This challenge will intensify as data proliferates, diversifies in structure and format, and requires faster processing.
The point is, modern organizations spend too much time managing middleware. They ought to be mining data for insights, performing predictive and prescriptive analytics, building machine learning models to drive growth, crafting digital transformation plans, and engaging in other strategic, high-value pursuits.
Broken integration methods drain valuable resources
Prevailing integration methods deserve much of the blame for why companies pour excessive resources into connecting disparate data.
Many organizations, for example, still rely on antiquated, on-premises integration software. These solutions are complex, onerous to maintain, and require specialized technical skills to operate, skills that are becoming increasingly sparse.
Indeed, 80 percent of IT decision-makers admit that outdated technology prevents them from seizing new data-driven opportunities.
Point-to-point integration tools are also inadequate. If you only use a few vendor-provided integration tools, then you can manage them with relative ease. But if you acquire enough of them, they become like a deeply entangled knot that’s nearly impossible to untie. Point-to-point tools simply can’t scale to the number of integrations or volume of data modern organizations need.
Perhaps one of the most broken approaches to integration is that of building custom integration workflows or pipelines through coding. In this setting, integration specialists must continually construct, maintain, fix, modify, and re-build connections between different endpoints, especially since many SaaS applications are regularly updated. It’s a highly inefficient, unscalable process.
The benefits of automating your integrations
To compete in the digital economy, organizations need to automate their integrations. They must spend less time managing middleware and more time affecting revenue.
Those who have improved their integration methods have seen significant results. Box, a leading enterprise cloud technology company, serves as one such example. When Box adopted the SnapLogic Intelligent Integration Platform (IIP), it led to dramatic improvements in its integration processes. Instead of taking six hours to push 150,000 records to an external endpoint, Box could integrate three times that volume in just two minutes with SnapLogic. Moreover, both the power and self-service capabilities of the SnapLogic IIP have enabled Box to process hundreds of millions of data records regularly.
SnackNation, a high-growth startup that delivers healthy snacks for customers like Microsoft, Uber, and Travelocity, also automated its integrations with SnapLogic. Before, a small team of engineers managed all the integration requests pouring in from every department at SnackNation. With SnapLogic, the company cut the time it spends on integrations by 50 percent. The team can now expend more energy on helping to grow the company’s subscriber base, reduce churn, and lift revenues rather than increasing its budget for IT staff.
Reinvest your time in profit-generating projects
Each minute you spend managing middleware, hand-coding integrations, and performing ETL or ESB operations is a minute not spent on strategic endeavors. By automating your integration workflows with a robust, self-service platform like SnapLogic, you clear the way for pursuits that can strengthen your market position. This is critical to improving your bottom line.
If you’re eager to learn how to automate your integration processes and achieve radical gains in efficiency, then watch our webcast, “How to Complete Integration Projects 300% Faster.” The webcast streams live on March 28th, so don’t wait to sign up!
 Vanson Bourne, “The High Cost of Disconnected Data,” 2017, p. 2.