volkerhartzsch

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World Economic Forum Reveals Key Digital Asset Trends of 2025 

The World Economic Forum Annual Meeting of 2025, held in Davos, Switzerland, featured a multitude of conversations around blockchain, AI and quantum, with a focus on collaboration to solve global challenges. One of the most interesting things to come from the meeting was the increasing convergence of these technologies, which is anticipated to revolutionise industries operating in all sectors. 

Crypto Investment to Surge 

Throughout 2025, crypto investment is expected to surge, with corporate leaders attending the forum making it clear that such investment is accelerating at an unprecedented pace. Formerly regarded as experimental or niche, crypto has become an integral element of financial transformation strategies, something that reflects a wider acceptance of the digital currency, with many institutions viewing crypto as a core asset class. 

Industries in the Intelligent Age 

One of the themes of the meeting, ‘Industries in the Intelligent Age’, was largely concerned with the potential of agentic AI. Sessions were held regarding, among other things, cybersecurity, EVs, smart factories, and how AI will impact national security and governments. During one session, Yann LeCun, the chief AI scientist at Meta, spoke about how new types of AI architecture will emerge over the next five years, taking the technology’s capabilities to a new level. 

The Importance of Trust 

Experts in blockchain, such as Volker Hartzsch, recognise that with cyberspace growing ever more complex, effective cybersecurity – thereby engendering user trust – is foundational, and this was also a key topic of discussion at the event. Collaboration, particularly between the public and private sectors, is vital to protect the digital landscape for future generations and close the opportunity gap between small and large organisations. It was generally accepted that security and safety is one of the most significant digital global threats, and unifying around a shared goal to protect digital ecosystems is extremely important. 

World’s First Tokenised Building 

In attendance at the annual meeting was the CEO of Hub Culture, Stan Stanaker, the founder of the world’s first tokenised building. This project is showcasing blockchain’s potential to transform the property industry, improve liquidity, offer unprecedented transparency and allow for fractional ownership. It’s a tantalising glimpse of how blockchain can make real-world assets more accessible to global investors to fully unlock their potential. The meeting featured a fascinating discussion regarding real world assets as representing blockchain’s next frontier, with the primary challenge being to bridge the gap between physical and digital economies. 

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Enhancing Digital Marketing Processes with Data Analytics

Data analytics, in marketing, is the process of collecting and analysing data from a range of sources to gain actionable insights into a business’s digital marketing processes and strategies. Analytics tools can be used to minimise churn rate, identify potential new approaches and create a personalised customer experience.

What Are the Different Types of Data to Analyse?

A business’s digital marketing strategy will determine the type of data that will be utilised. This could include web analytics or social media data, or data derived from lead generation or blog and content creation processes. Understanding and analysing this data will help dictate the ROI (return on investment) expected to be generated from the marketing strategy, as well as the elements of the strategy that are working well and what requires tweaking.

Choosing an Analytical Data Model

Experienced marketers like serial entrepreneur Volker Hartzsch understand that in order to best plan, manage and optimise their marketing campaigns, businesses can select from three types of analytical models. The first of these is descriptive, which uses historical data from previous campaigns, and the second is predictive, which uses insights from former marketing campaigns to predict customer behaviour. The third model is prescriptive, which involves collecting data from all touchpoints to assess the impact of each customer interaction and company initiative to create a highly targeted marketing campaign.

The Benefits of Using Data Analytics

Data can be used by digital marketers to help them understand a business’s target market, allowing them to market the business’s services or products to the best possible effect. Another benefit of using data is that it allows businesses to budget more effectively, identify new opportunities and uplift the general customer experience. In terms of the latter, this could be through the ability to provide content that specifically caters to a specific market segment, thereby helping to increase both engagement and conversion levels.

Data also allows businesses to build brand awareness and access customers in real time by triggering campaigns to launch at a time when potential customers are active and most likely to engage.

Getting Started with Using Data

Businesses wishing to get started with using data in their digital marketing strategies should first determine their goals and identify their KPIs (key performance indicators). Following this, customer personas should be generated to help prioritise the target audience’s wants and needs. Finally, all data should be evaluated to measure the success of each campaign.