[…] business, particularly when it comes to investing in new technologies such as AI, but it can be mitigated. Data leaders need to ensure a level of data literacy where those using the tools understand how and why risks can happen, but also how they can be addressed and pre-emptively stopped. Security and architecture […]
[…] will work on an appropriate level of democratisation and ownership, meaning the data will be available to those who need it, not siloed in specific departments. Data literacy: Team members need to be trained to understand, analyse, and interpret data. A data-literate workforce will be able to ask questions, derive insights, and tell stories […]
[…] among consumers for data that tells them about how they live their lives, from Strava strides to Spotify spins. This creates a level of digital and data literacy that could help Smart Data expand. At the same time, it is constrained to the more digitally savvy and privileged segments of the population, which could […]
[…] to address. Finally, another way to improve communication with a data team is to explain why new hires into different teams should have a level of data literacy and understanding. By working with HR and different department heads, data leaders can demonstrate the countless benefits of having a data literate team and instigate a […]
[…] with data. One of the most important parts of this approach is to ensure the seriousness of data governance is understood and a core section of data literacy upskilling. Another participant from an insurer highlighted their experience with shadow IT and the impacts it had had on governance and compliance in a highly regulated […]
[…] overcome these change management hurdles, data leaders must act as change agents, leading the transformation towards a data-driven culture. This involves managing change, fostering data and AI literacy throughout the organization, and focusing on high-impact, proven value initiatives. AI talent: The scramble and the shortage The rapid adoption of AI technologies has created […]
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[…] revolution. She emphasised a business-first approach, involving understanding team needs and clearly communicating a vision through a concise strategy that explains the why behind actions. Promoting data literacy is crucial, Schildhouse added, and data leaders should make this as inclusive as possible by avoiding jargon and simplifying information to drive engagement and adoption. This […]
[…] that merely having the data and visualising it is not enough. To be a data-driven organisation, people at all levels need to be better educated in data literacy. Even as data analysis and visualisation are integral to digital businesses and are supported by advances in modern business intelligence, including AI and machine learning, some […]
[…] colleagues improve data proficiency skills should understand how this work directly contributes to the company’s key analytics objectives. In this case, closing a skills gap in data literacy is a key priority for many companies in their journey to becoming data-driven. Remember that the job of a data champion is often in addition to […]
[…] and to start conversations rather than close them down. But for organisations that have failed to promote this culture shift, or haven’t invested in improving employee’s data literacy, success is lagging. Meanwhile, competitors charge ahead, driven by the democratisation of data and the ability for all to access, understand and communicate with it. […]
[…] because we deliver.” D’Cruz recognises that the work of the team “has enabled increased collaboration, transparency, business efficiencies and has ultimately driven the agenda of data literacy across the European region,” proving how winning awards can change the perceptions of data teams and the role they play across the business. When considering […]
[…] mapped and exploited. This gradual acceptance of data into football has relied on cultural factors as much as it has technological advancement. Overcoming data-scepticism and poor data literacy. Establishing a data culture. Identifying relevant insights. Issues that analysts in the football world face, and continue to face, are familiar to analysts everywhere. The message […]
[…] and poor practice can quickly reappear if data culture is ignored, even within organisations with an advanced level of data maturity. DataIQ research reveals that poor data literacy is joint with data silos as the most prevalent threat to an organisation being able to consume data effectively. The 10-1-23 strategy also led to Wicks […]