Almost drowning in seas of data
Partly due to the big data hype, companies have started collecting seas of data. In many cases, however, big data has now become fat data. The data overload becomes an unhealthy burden, with all the disadvantages and risks that entails. Forty percent of the 150 respondents state, for example, that it is not entirely clear what the origin and quality of the data is. 31 percent say that the data is not available quickly enough at the required moment. And 27 percent conclude that there is not always access to the data they need.
Data hoarding: not without danger and often useless
Many companies hoard data. In other words: they collect large amounts of data without a (clearly defined) purpose. 63 percent of companies consciously store more data than they currently use with an eye on possible future use. A risky and often useless strategy: this data is often so incomplete or undetailed that later use is impossible.
Conclusion: companies struggle with data engineering
The conclusion from the research is clear, believes AMIS CEO André van Dalen: "Although most companies indicate that they have data-driven work as a spearhead, they struggle in practice with a lot of challenges in the field of data engineering, real-time data, and data platforms. As a result, they miss insights, real-time adjustments are impossible, and hired data scientists and machine learning specialists cannot work efficiently. Consequently, they lose out on agility and flexibility."
Call to the IT sector
Van Dalen: "The IT sector first seduced customers into collecting large amounts of data and then left them to their own devices to do something meaningful with this data. It is time for us as a sector to take a hard look at ourselves and help our customers with truly valuable data products."
AMIS Conclusion therefore calls on the sector. Van Dalen: "Help customers make their data landscape more manageable and professional using high-quality data platforms and data engineering. Our first question to customers will henceforth be: is your data as qualitative and reliable as tap water?"
Want to see more results AND read our nine recommendations? Check out the research here.
Also read: Dataiku 12 focuses on new AI | WINMAG Pro
Also read: Zoom offers users stronger control over data and data storage in Europe | WINMAG Pro
