Data analysis? Handled with confidence!
Data Enablement at the taod Academy
A quote attributed to Confucius says: “Give a man a fish and you feed him for a day. Teach a man to fish and you feed him for a lifetime.” At the taod Academy, we adapt this: “Solve a problem for someone and they will be satisfied for the moment. Show them how to master similar challenges independently, and they will develop skills that go far beyond the original situation.”
One thing is certain: everything keeps changing. In today's digital work environment, the continuous acquisition of new skills is the new normal. Due to digitalization and the influence of software and tools, numerous areas of work have changed significantly in recent years, becoming increasingly complex and data-driven through new technologies. At the same time, the ability to analyze large volumes of data is becoming a decisive factor for companies, putting them under pressure: professionals with the corresponding skills are highly sought after in this field and are therefore rare and expensive to hire. The solution is obvious: treat enablement as a strategic goal and build skills internally.
This is where expectations and reality in German companies often diverge. A vibrant data culture within their own ranks is the dream of many, whether at the management level or within individual departments. However, companies consistently struggle to adequately fill critical positions for building data initiatives. They are looking for employees who not only possess the technical skills to handle the challenges of <a href="https://www.taod.de/services/bi-und-data-analytics-consulting" data-webtrackingID="blog_content_link">Data Analytics</a> and Data Engineering . They also need an analytical mindset to apply their specific knowledge within a tool-based infrastructure to enable data-driven decision-making.
"Treat enablement as a strategic goal."
Data literacy is in demand
This lack of data skills is not just an obstacle to Implementing effective data strategies, but also impairs a company's ability to leverage existing data for a competitive advantage. On one hand, the skills shortage jeopardizes decision-making speed and can lead to delays that prevent companies from reacting quickly to market changes. On the other hand, the inability to correctly analyze and interpret complex data structures significantly compromises decision quality, stifling innovation and leaving established market shares vulnerable to disruptive business models.
The ability to competently validate and analyze data, and to draw the right conclusions for one's own work, is becoming increasingly vital to a company's economic success. Yet the situation reads like an unsolvable dilemma: to attract qualified talent, companies feel forced to offer higher salaries and better benefits, which increases operating costs and can impact the profitability of data projects.
A case for DIY: Data it yourself
Given the challenges posed by the skills shortage and the high cost of external resources, developing internal employee expertise appears to be a sustainable and cost-efficient solution. This is not about ad-hoc external help, but about fundamental enablement so that teams can help themselves.
"This is not about ad-hoc external help, but about fundamental enablement."
The newly expanded offering from the taod Academy supports companies ranging from start-ups to DAX corporations with internal enablement, countering the increasingly severe shortage of affordable talent in analytics and AI. The new tool and skills training programs are even more tailored to the needs of modern businesses. We continue to deliver content as peers, focusing on individual concepts designed for our clients' specific challenges. This approach typically leads to sustainable independence rather than short-term troubleshooting.
Even if challenges like missing data strategies, outdated tech stacks, and a lack of conceptual and practical knowledge on how to use data may be similar across industries, the required data analytics solutions are as diverse as the underlying data structures, business models, and projects behind the inquiries we receive for taod training.
Training from practice, for practice
As a core component, training at the taod Academy involves addressing the individual project or knowledge requirements of the teams. The training is based on real data and scenarios that reflect the participants' daily work. This method ensures that everyone has the opportunity to apply what they have learned directly to their daily tasks. This not only promotes an understanding of complex BI tools but also increases motivation, as participants can see immediate improvements in their work processes.
Helping people help themselves.
Practical training sessions, specifically tailored to the needs and use cases of employees, play a central role at the taod Academy. They make it possible to connect the necessary understanding of a company's analytical pain points with newly acquired analytical skills. As a building block of a resilient corporate strategy, internal enablement of one's own teams in data analytics and BI is therefore essential. Among other things, it can be a decisive factor in increasing innovation in increasingly dynamic markets and securing long-term corporate success.
Trainings in der taod Academy
Von Microsoft über ChatGPT bis Tableau: Finde, was zu dir passt.
Microsoft Power BI Training
Erstellt sagenhafte Power BI Dashboards und Reports.
Microsoft Power Platform Training
Baut mit wenig Code eigene Anwendungen, die eure Geschäftsprozesse verbessern.
Personal Tool Coaching
Vertiefendes Analytics Know-how aufbauen im persönlichen Sparring mit eigenem Consultant.
Building a vital data culture
With targeted enablement and the development of skills requested by the departments themselves, companies can not only close the skills gap but also benefit from positive side effects. Gaining competence also increases employee retention and satisfaction: the success of an individual data initiative contributes directly to the company's success and strengthens awareness of the potential of data analysis in other teams as well. Therefore, enablement and training are important building blocks for companies looking to build a vital data culture.
Wherever digitization has taken place, everything is now analyzable: the identification of growth drivers and success factors, as well as critical deficits and unprofitable investments. Unfortunately, the competition never sleeps. Innovations and new business models are transforming entire industries, while greater competition and new markets are emerging. Holding your own and ensuring long-term growth is no longer possible without a sound analysis of your own company data. In this challenging environment, it is crucial to be able to apply and individually expand newly acquired skills—both technological and conceptual—according to specific needs. That is why it is particularly important to us to foster the capabilities of companies.
A similar version of this article first appeared in issue 01/24 of data! You can find all issues and articles from our biannual magazine here:
data! Magazine: Cloud Services, Data Analytics & AI | taod
