Despite strong progress, research shows that Gulf businesses struggle to unlock the value of AI innovation due to inconsistent staff training.
DUBAI, UAE — January 10, 2022 — Alteryx, Inc. (NYSE: AYX), the analytics automation company, today unveils new findings showing that the Gulf is uniquely placed to drive innovation post the pandemic. A staggering 50% of employees surveyed are now able to automate their day-to-day tasks, with 58% able to produce faster results through the use of analytics technology compared to five years ago. In comparison, just 16% of UK workers, and 24% of German workers confirm they are able to automate similar tasks. The Alteryx-commissioned YouGov research surveyed 300+ employees in the UAE and KSA who work with data in large companies.
Despite the core building blocks to success, the research shows that the region is still hindered by inconsistently applied training programmes, with only existing experts – such as qualified data scientists – receiving vital data upskilling. Highlighting the scope of this need, 97% of Gulf workers agree that training needs to be made available to all data workers in the region to truly unlock business value.
Employees that lack formal training are increasingly operating in the dark – further overloading at-capacity data science teams. Research highlights that data scientists spend a disproportionate amount of their time each week on tasks that could be completed by workers with less advanced skillsets using automation technology, and are stuck in a continuous loop of day-to-day tasks:
- 27% of data scientists spend at least nine hours each week on basic data tasks such as cleansing, blending, and shaping.
- 14% of the data scientists surveyed spend at least 30 hours on the same tasks.
- 54% of these data scientists say their business is “not making full use of the data”, and 49% say that employees are “lacking the lata literacy skills needed to meet today’s business challenges.
With such a huge skills gap, the efforts of highly trained data scientists are being wasted. 97% of employees now say that data training should be expanded to all data workers instead of remaining focused on existing data experts.
“While data is increasingly becoming the common language of business, few receive the training needed to deliver consistent benefit from it, with the remainder relegated to working in the dark,” comments Alan Jacobson, Chief Data and Analytic Officer at Alteryx. “The lack of foundational data skills remains a significant stumbling block on the Gulf’s upward trajectory towards AI led innovation. Big data needs context and human intelligence when applied to AI. What we now see is an AI ethics conundrum. If not driven by data science, unintentional data biases can creep in, leading to perpetuated discriminatory practices, as well as inaccurate and inconsistent AI models.”
Core findings:
- 50% of MEA technology workers say they are now more able to automate their day-to-day tasks. Despite this, data training is only available to pre-existing experts such as data scientists (51%) and business analysts (46%). 97% of Gulf employees now say that data training should be expanded to all.
- With so many workers excluded from data training, the Gulf is primed for a data ethics disaster. Workers now gravitate towards informal mentoring (39%) and informal user groups (24%) to train, increasing the risk of unintentional bias creeping into algorithms and models.
- A third (31%) of MEA business leaders believe solving this challenge is someone elses problem, indicating these problems will endure for some time yet.
“Many business leaders believe that transformation and AI projects are exclusively about the technology, but any technology is only ever a tool to deliver human ingenuity,” comments Kerry Koutsikos, Regional Vice President, MEA, at Alteryx. “The lack of consistent training, and subsequent lack of standardised knowledge is a core challenge for the Gulf’s future technology projects – particularly new AI strategies.
“Data work and automation are taking place regardless of whether training is available. The challenge is the quality of data and outcomes generated across this skills spectrum. Instead of spending their time on advanced AI projects or value-driving work, data scientists are having their time sapped by basic data tasks that could – and should – be completed by other workers. It’s imperative that business leaders minimize the challenges that are being faced by delivering a core foundation of data skills to all workers and removing pressure from data and technology teams.”
*Data scientists are, for the purposes of this research, those who scored their data skills as 10/10.
Methodology:
*Alteryx commissioned market research company YouGov to survey 300+ data workers in organisations with the size of 250-499 and 500+ employees across the UAE and KSA on the topic of data literacy. The survey ran in June 2021. “Data workers” were defined as employees across all business units who work with data on a day-to-day basis.
About Alteryx:
Alteryx, the Analytics Automation company, is focused on enabling every person to transform data into a breakthrough. Alteryx unifies analytics, data science and business process automation in one, end-to-end software platform to accelerate digital transformation and shape the future of analytic process automation (APA™). Organisations of all sizes, all over the world, rely on Alteryx to deliver high-impact business outcomes and the rapid upskilling of their modern workforce. For more information visit www.alteryx.com.
Alteryx is a registered trademark of Alteryx, Inc. All other product and brand names may be trademarks or registered trademarks of their respective owners.
