Data value creator as a key person

Generate added value from your own data

Data should be experienced in an exciting, profound, varied and profitable way. At the same time, they must produce unexpected results and be transparent so that they become comprehensible, useful and add value. This is even easy to implement with little preparatory work. As part of their data analysis, it is best for companies to start by identifying relevant data sources and making the added value of the data visible. The Data Value Creator helps with this.

Creating value requires one thing: Data must be brought to life

Value creation is at the heart of data analysis. Recognizing, collecting and processing data makes no sense at all if its total value for the company is not defined. That is exactly what causes problems:

“Many companies lack acceptance of data analysis because it is not experienced as creating value.“- Till Aufderheide, former Managing Director at taod

The emphasis in this statement is expressly on the word “experienced.” What data projects always urgently need is an individual connection to one's own living environment, i.e. to one's own business. This is the only way to recognize and understand their value.

Companies need a person who collects and exploits data potential in order to place it in the overall corporate context and finally breathe life into it. This so-called data value creator is either already located within the company or is being brought in externally. Here, you can think about a new hire or bring an external data specialist into the team on a temporary basis.

The term “Data Value Creator” is a generic description used by taod for a person who identifies data within a company as adding value and exploits associated potential (data value creation). Project managers or business development managers typically fill this role. But people from the areas of IT, marketing or sales also take on this task. Data value creation can be driven forward both internally and through external help.

Tasks of the Data Value Creator: Using brains and communication to create value

The Data Value Creator functions as an insider of the company who understands its needs in terms of data utilization and knowledge gain. It is a creative mind with vision who recognizes the added value from company data, but also an entrepreneurial character who can make bold decisions. He is also an expert in current data analytics technologies and options. He often acts as a diplomat who mediates between the data team and other departments such as marketing, sales or even IT. He has product ownership and manages the data team. An important part of his work is continuous communication with other departments. He translates a department's need for appropriate data and AI projects in data strategies, establishes a methodology for using data and inspires stakeholders to use data more effectively.

With practical use cases and small application examples, he quickly illustrates how a lot can be changed with just a few pieces of data. Even a small investment creates value, which can be built on successively. A mistake in companies is often that data analysis is complex, expensive and particularly recommended when complex automation processes or AI applications are to be developed, for example. But high value can already be generated in small data applications, for example in everyday sales processes, marketing tasks and logistics processes (“low hanging fruits”).

Who is the Value Creator in the company?

There is often someone with a corresponding profile already in the company. In some cases, he or she is already doing at least part of the above activities or is well on his way there. Even if there is no data team yet or no data strategy has yet been established, the official appointment of a data value creator helps immensely to professionally advance the issue of value creation in data management.

Data can uncover potential and solve problems. The prejudice that data analysis is complicated can be refuted quickly with easy-to-learn tools and modern and clear dashboards. But data analysis must never be an end in itself, but must always be placed in a direct business context.

Together with the Data Value Creator, companies should urgently find their relevant data treasures and exploit their potential. It must be clearly defined what value means. As a result, better decisions are made in less time and with company-wide transparency and cost savings, which are particularly convincing in business areas. This process can take years and is never complete, because enablement doesn't stop with data management. But the journey is worthwhile right from the start.

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