Application overload is an ongoing enterprise problem, with the average large business using 367 software apps and systems to get work done, according to a Forrester Consulting study commissioned by Airtable.
Workers are spending nearly one-third of their work week, or 2.4 hours a day, to find the data and information required to do their jobs effectively. Forrester surveyed more than 1,000 workers in September for this study.
Let’s couple that with a new HPE study. While over 60% of respondents said it was strategically important for their organizations to control their data and the means to create value from data, the average ability to create value from data was only 2.6 on a five-point scale, with only 3% reaching the highest maturity level.
The survey is based on a maturity model HPE developed that assesses an organization’s ability to create value from data based on strategic, organizational and technological criteria.
“There are five levels of response,” Dr. Eng Lim Goh said. “At the highest level, data economics, data strategy is part of corporate strategy, with real-time data push and pull that uses AI and advanced analytics to drive outcomes. Only 3% of organizations met this criteria today. On the other hand, the lowest level, which we call ‘data anarchy’, has each silo is doing its own thing, with no data strategy at a corporate level.” 14% of organizations are at that lowest level of maturity, Level 1.
Why do we care?
So, we have more applications than we know what to do with, and organizations can’t handle their data load. Love it – it’s all a messy opportunity to clean up.
More is not necessarily better for the customer. Having too much data or too many apps is a problem, not a solution. Offering techniques to solve this – and reduce complexity – is extracting the value.