Data, Analytics, & AI: While the analysis of data διαδραματίζει καθοριστικό ρόλο στη procedure λήψης επιχειρηματικών αποφάσεων, λιγότερο από τα μισά ανώτατα στελέχη είναι σίγουροι ότι έχουν τα σωστά δεδομένα για να λάβουν σημαντικές αποφάσεις, σύμφωνα με έρευνα που διεξήχθη από το MIT SMR Connections με την υποστήριξη της SAS.
The research entitled “Data, Analytics, & AI: How to trust delivers valueFocuses on the degree to which companies have confidence in the data they collect and analyze.
The added value of analytics and new technologies, such as artificial intelligence, begins with confidence in them. Companies interested in creating a data-driven culture, where people understand data and leverage advanced analytics to make better decisions, give priority to building trust around the data being collected and stored, and the knowledge they provide. It is this confidence that reinforces the culture they seek.
Ωστόσο, η έρευνα δείχνει ότι μόνο το 15% των ερωτηθέντων χρησιμοποιεί προηγμένα analytics για τη λήψη επιχειρηματικών αποφάσεων. Λιγότερο από ένας στους δέκα χρησιμοποιεί αυτοματοποιημένα analytics και μόλις το 7% εφαρμόζει τεχνολογίες τεχνητής νοημοσύνης και machine learning in decision making.
The "Utility Gap"
Although 76% of respondents said they have increased access to data they find useful - which is not surprising as data volumes are steadily increasing in the context of business digitization - only 43% believe they often have the right data for making appropriate decisions. This "utility gap", as characterized by MIT SMR Connections, reveals a recurrence of the phenomenon, since similar responses had emerged in a similar survey conducted in 2017.
This shows a confidence gap, which is also reflected in the next question. Only 10% of respondents said that they always trusted the data, while 40% (on average) sometimes trusted the data.
Three key conclusions
One of the most important findings of the research is that there is a need for greater commitment and investment towards managing and securing data, which is also the cornerstone for building trust. Of particular importance are businesses dealing with security and data protection, data critical to maintaining customer confidence in companies' use of their personal data.
Data security is at the heart of research responses and can be further developed through the application of analytics and artificial intelligence. There is also the opportunity to leverage privacy and GDPR initiatives to build trust, rather than just working as part of compliance processes.
Finally, although adopting an analytics-based culture improves innovation, only a small percentage of respondents are involved in activities that develop employees' knowledge of data analysis.
Finding staff with the right skills is one of the major challenges, so there is still much room for improvement and much effort needs to be made to bridge this ever-widening gap.
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