Data analysis? But confidently!
Data enablement at the taod Academy
A quote attributed to Confucius reads: "Give a man a fish and you feed him for a day. Teach a man to fish and you feed him for life." In the taod Academy, it becomes: "Solve a problem for someone and they will be satisfied for the moment. Show him how to overcome similar challenges on his own and he will develop skills that go far beyond the original situation."
One thing is certain: everything remains different. The constant acquisition of new skills is the norm in a digitalized working environment. Digitalization and the influence of software and tools have significantly changed many areas of work in recent years, and new technologies have made them increasingly complex and data-based. At the same time, the ability to analyze large amounts of data is becoming a decisive factor for companies and is putting them under pressure: specialists with the relevant skills are highly competitive in this area and are therefore rare and expensive to buy. The solution is obvious: see enablement as a strategic goal and build up skills internally.
Hier gehen Wunsch und Wirklichkeit in deutschen Unternehmen weit auseinander. Eine lebendige Datenkultur in den eigenen Reihen ist der Traum vieler. Ob auf leitender Ebene oder innerhalb der Fachbereiche. Unternehmen haben jedoch fortwährend Probleme, für den Aufbau von Daten-Initiativen kritische Stellen adäquat zu besetzen. Gesucht werden Mitarbeiter, die nicht nur die technischen Fähigkeiten besitzen, um mit den Herausforderungen von <a href="https://www.taod.de/services/bi-und-data-analytics-consulting" data-webtrackingID="blog_content_link">Data Analytics</a> und Data Engineering umzugehen. Sie benötigen ebenso ein analytisches Mindset, ihr spezifisches Wissen in einer toolbasierten Infrastruktur einzusetzen, um datengestützte Entscheidungen möglich zu machen.
"Understand enablement as a strategic goal."
Data expertise is in demand
This lack of data skills is not only an obstacle to the implementation of effective data strategies, but also impairs the ability of companies to gain a competitive advantage from the data they already have. On the one hand, the lack of skilled staff jeopardizes the speed of decision-making 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 impairs the quality of decision-making, innovations fail to materialize and disruptive business models jeopardize market shares that were thought to be secure.
The skills to validate and analyze data competently and to draw the right conclusions for one's own work are becoming increasingly important for the economic success of companies. However, the circumstances read like a dilemma that cannot be resolved: in order to attract qualified specialists, companies are therefore forced to offer higher salaries and better benefits, which increases operating costs and can affect the profitability of data projects.
Plea for DIY: Data it yourself
In view of the challenges posed by the shortage of skilled workers and the high cost of external resources, developing employees' skills internally appears to be a sustainable and cost-effective solution. And this is not about ad hoc external help, but about fundamental enablement to help yourself.
"This is not about external ad hoc help, but about fundamental enablement."
The taod Academy's newly expanded offering supports companies from start-ups to DAX-listed corporations with internal enablement and thus counteracts the increasingly serious shortage of financially viable specialists in the fields of analytics and AI. The new tool and skills training courses are even more tailored to the requirements of modern companies. The content is still taught at eye level and the focus is on an individual concept for the customer's problems. This approach generally leads to sustainable independence rather than short-term problem solving.
Even if the challenges such as a lack of data strategies, outdated tech stacks and little conceptual and practical knowledge of how to use data may be similar across industries, the data analytics solutions required are as different as the underlying data structures, business models and projects of the incoming requests for taod training.
Trainingfrom the field for the field
Training courses at the taod Academy therefore include a basic component of dealing with the individual project or knowledge requirements of the teams. The training courses are based on real data and scenarios that reflect the everyday lives of the participants. This method ensures that everyone has the opportunity to implement what they have learned directly in their daily work. This not only promotes understanding of complex BI tools, but also increases motivation as participants can see immediate improvements in their work processes.
"Helping people to help themselves."
Such practical training courses, which are specifically tailored to the needs and use cases of employees, play a central role in the taod Academy. They make it possible to combine the necessary understanding of the analytical breaking points of one's own company with the newly acquired analytical skills. As a building block of a resilient corporate strategy, the internal enablement of your own teams in data analytics and BI is therefore essential. Among other things, it can be a decisive factor for increased innovative strength in increasingly dynamic markets and ensure the long-term success of the company.
Training at the taod Academy
From Microsoft to ChatGPT to Tableau: find what suits you best.
Microsoft Power BI Training
Creates fabulous Power BI dashboards and reports.
Microsoft Power Platform Training
Build your own applications with little code to improve your business processes.
Personal Tool Coaching
Build up in-depth analytics know-how in personal sparring with your own consultant.
Building a vital data culture
With targeted enablement and the development of skills, the need for which is expressed by the departments involved themselves, companies can not only close the gap in required skills, but also benefit from side effects. The success of an individual data initiative has a direct impact on the success of the company and also raises awareness of the potential of data analysis in other teams. This is why enablement and training are important building blocks if companies want to establish a vital data culture within the company.
Wherever digitalization has taken place, everything can be analysed: 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 turning entire industries upside down, creating greater competition and new markets. It is no longer possible to hold your own in this environment and ensure long-term growth without a sound analysis of your own company data. In this field of tension, it is important to be able to apply and expand newly acquired skills, both technologically and conceptually, according to individual needs. That is why it is particularly important to us to promote the skills of companies.
This article first appeared in a similar form in issue 01/24 of data! All issues and articles of our biannual magazine can be found here:
data! Magazine: Cloud Services, Data Analytics & AI | taod
