Role of Software Developer/Engineer

Less than 50% of developers claim this responsibility, supporting the idea that the role of software developers extends beyond writing code.

As organizations move security, testing, governance, and even marketing and finance early in the application lifecycle, developers are overwhelmed by continuing to shrink their delivery timelines, and data quality is “correct” to the development team. Often it remains “hope”.

Among other important discoveries, the biggest problem facing development teams is the inconsistency in the data they need to utilize, followed by incomplete and outdated/incorrect data. Duplicate data, last year’s top option, fell to fourth place this year. Incorrect field data and international character sets conclude the category.

Due to these data issues, survey respondents said they spend about 10 hours a week building new applications and addressing data quality issues.

Despite these issues, about 83% of respondents claim that their organization is data-savvy or data-aware, and only the rest are data-savvy (15%). It states that it is data-driven (about 2%).

David Lyman, the publisher of SDTimes, said: “As the world advances data privacy and governance, seeing organizations still failing to maintain data should be a wake-up call for the industry as a whole.”

James Royster, Head of Analysis at Adamas Pharmaceutical and Senior Director of Analysis and Data Strategy at former bio pharmacy company Celgene, said the major problem organizations face with data is “thousands of nuances” in large amounts of data. I said it was.

Royster gave the example of IQVIA, a healthcare data connectivity solution provider. The provider collects data from more than 60,000 pharmacies, each dispensing hundreds or thousands of drugs, sera, and more. What’s more, they serve hospitals and clinics. So he explained, “There are millions of potential error points.” Also, for a company to create these datasets, it must have the developer write code that puts these datasets together in a way that the company can digest. And that’s an ongoing process. “That is, there are millions of potential problems, whether it’s code changes, code updates, or data collection.”

However, data issues do not only occur in large organizations. Small businesses also have data problems because they don’t have the resources to properly collect the data they need and monitor changes other than letting someone in the database know that something in the data has changed.

As an example, small businesses may use forms to collect user data, but many users provide bad data to avoid unnecessary contact. The problem is, “No one checks it, aggregates it, or applies any logic. What this should be. It just comes in … it comes out. And, If the incoming data is incorrect, the outgoing data is incorrect. “

Report: 75% of developers say they are responsible for data quality.