A new SnapLogic study reveals that companies can improve revenue by using data more effectively.
In a Wednesday report, SnapLogic revealed that by using data more effectively, enterprises expect to increase annual revenue by an average of $5.2 million.
According to the report, the average business plans to invest $1.7 million in preparing, analyzing, and operationalizing data over the next five years. This figure is nearly doubled from the current average amount invested, $800,000. The report noted that with the increased investment, businesses could expect to benefit from a potential 547% return.
Despite the potential for increased revenue through data technology, the average organization only uses 51% of collected and generated data, the report noted. Only 48% of decisions are made based on data.
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But, what data makes the biggest impact? The report found three types of data that are most valuable to businesses.
- Customer data (69%)
- IT data (50%)
- Internal financial data (40%)
The report noted that dealing with manual data entry can cost companies time and resources. Respondents reported that they spent 20% of their time working on getting data ready to use. This presents a serious opportunity for automation. Firms should consider which of their manual data processes are most time-consuming, and look to machine learning and similar tools to automate them.
While 98% of respondents reported that their organizations are planning for, or are in the process of digital transformation, only 4% are ahead of schedule.
"Legacy systems, tedious manual labor, and the sheer volume of information are preventing organizations from maximizing their data-driven potential," SnapLogic CEO Gaurav Dhillon said in a press release."The enterprises that act now to spread data literacy throughout their business will be the ones to thrive."
The big takeaways for tech leaders:
- By investing in better data management, companies can expect a increase their annual revenue by an average of $5.2 million.
- The types of data proven to be most valuable to companies are customer data, IT data, and internal financial data.
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