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Data-Driven Decision Making
My take on Data-Driven Decision Making (DDDM) and why it is essential for businesses today 🔍
In today’s fast-changing business environment, intuition alone is no longer sufficient. Data-Driven Decision Making (DDDM) enables leaders to make smarter, faster, and more confident decisions based on facts, not guesswork.
To make effective use of DDDM, organizations need a strong data foundation. Data lakes are central to this approach, as they store vast amounts of structured and unstructured data from across the entire business. When aligned with clear Key Performance Indicators (KPIs), this data becomes a powerful resource for making strategic decisions.
A practical example of effective DDDM is “Our World in Data”, a public data platform that transforms complex global information into clear and actionable insights to address major world challenges.
Behind every successful DDDM initiative is a robust IT infrastructure. IT teams build and manage the systems that store, organize, and secure data. They also enable tools for analytics, dashboards, and reporting - making critical data easily accessible to decision-makers across the organization.
Today, Agentic AI is enhancing DDDM even further. These intelligent tools analyze data, recommend actions, and support people throughout the decision-making process. This creates a powerful partnership, combining human expertise with advanced machine intelligence.
However, DDDM involves more than just technology. A clear data strategy and strong governance are essential. Without trustworthy, high-quality data and effective management controls, even the most advanced analytics and AI tools will fail to deliver true value - remember the saying: "crap in, crap out."
AI Tools
Curated Directory for AI Tools: https://theresanaiforthat.com/
My Take on the AI Tools 'Buy vs. Build' Debate. 🛠️
These days, Gen AI tools are being built into almost every software application. However, they often feel like an "add-on" with limited integration, which means they aren't always that efficient for users.
We're seeing Microsoft Copilot and Google Gemini appear in all the Office products (Excel, Word, etc.). These can certainly help users create a formula or rewrite a document.
More useful, in my opinion, are the AI meeting and note-taking tools in MS Teams and Google Meet. Having automatic meeting minutes is becoming a "must-have" for every employee to be efficient. General-purpose AI chatbots like ChatGPT, Claude, and Copilot should also be part of the standard AI toolbox for any knowledge worker.
But what about more specialized AI tools for your specific tasks and workflows?
Before you start developing a specific AI tool for your company, it’s a good idea to do some market research on existing solutions. There are many startups developing sophisticated, specialized AI tools that you can license. Most of them offer enterprise licenses with the proper data protection agreements your company needs.
Directory of AI driven Companies distinguished by small team's and amazing efficiency - measured in Market Value and Revenue per Employee are unbelievable: https://tinyteams.xyz/
My Take on the rise of the Hyper-Efficient "Tiny Team" concept 🚀.
How can a business scale its operations without proportionally increasing its headcount?
A compelling answer is emerging from the "Tiny Team" model, a trend highlighted in articles by publications like Bloomberg Article “Silicon Valley’s ‘Tiny Team’ Era Is Here”. It demonstrates how small, highly-leveraged teams are achieving remarkable results. Their success is built upon two key pillars:
Artificial Intelligence (AI): Integrating AI tools to augment human capabilities and automate processes.
Cloud Services: Utilizing scalable and efficient SaaS and PaaS solutions as a core part of their infrastructure.
This trend isn’t theoretical; the results are measurable. Take, for instance, companies featured in the Tiny Teams ‘hall of fame’ (https://tinyteams.xyz/), where small teams powered by AI and Cloud Services are achieving impressive productivity, customer reach, and profitability. This approach isn’t limited to startups - established companies also stand to benefit significantly, enabling their teams to focus on high-impact strategic tasks while automation handles routine processes.
These strategies are not exclusive to startups. For established businesses, the lesson is equally relevant. By strategically integrating AI and cloud platforms, you can empower your team to focus on high-value work while automation handles routine tasks.
The core objective is shifting from scaling headcount toward exponentially increasing team capability through technology
CISA - America's Cyber Defense Agency. Great source for information about Cyber Security Threats, Vulnerabilities and Exploits: https://www.cisa.gov/
Subscribe to the CISA News-Letter
My take on preventing Cyber Security Incidents is focusing on the Basics. Most incidents happen because of a mix of People, Processes, and Technology – and the weakest link is usually people.
🧑💻 People – Building a Security Culture
74% of breaches involve the human element . Mandatory training is a starting point, but not enough. Leadership must encourage a security-first mindset, turning employees from the weakest link into the strongest defense. This means:
Continuous, role-specific training (not just once a year)
Simulation exercises (like phishing tests) to build “muscle memory”
A culture where reporting mistakes is safe, and learning is encouraged
⚙️ Processes – Discipline and Standards
Strong processes protect employees and technology alike. Standards like ISO 27001 and upcoming NIS-2 provide a foundation. But success comes from:
A disciplined vulnerability management lifecycle (discover, prioritize, patch, validate)
Automating controls wherever possible
Aligning policies with business needs so employees can comply without friction
💻 Technology – Staying Current and Informed
Technology is essential, but only effective if well managed. Basics include:
Regular patching and upgrades (most attacks exploit known flaws, not zero-days)
Using the Well-Architected and Cloud Adoption Frameworks from AWS, Microsoft Azure, and Google Cloud to follow best practices and avoid misconfigurations
The big picture: Most cyber incidents are preventable. Prevention is not about buying the latest tool, but about getting the basics right, every day. A great free resource to support all three areas (People, Process, and Technology) is the U.S. Cybersecurity and Infrastructure Security Agency (CISA https://www.cisa.gov/) and its newsletters. It keeps you up to date with practical guidance, known exploited vulnerabilities, and alerts that can make prevention easier and more effective.
Crypto: Tracker for all Electronic Money Tokens - licensed and compliant to EU regulation MiCAR: https://micatracker.digital-euro-association.de/
My take on regulated Stablecoins entering the business world. 🪙
In the European Union, the MiCAR regulation has been in place since last year, providing clear rules for stablecoins (Electronic Money Tokens). Now, with the US signing the GENIUS Act (Guiding and Establishing National Innovation for U.S. Stablecoins) to regulate stablecoins, we are seeing major platforms take action. E-commerce giant Shopify, for example, just announced an early-access programme allowing merchants to accept USDC stablecoins as a payment option for all shops on its platform (Shopify). Similarly, PayPal Business has revealed plans to enable crypto payments for U.S. merchants in the coming weeks (PayPal)
This opens the door for businesses everywhere, B2C and B2B, to use USD and EUR-pegged stablecoins in their daily operations.
Regulated stablecoins offer the security businesses need, combined with the huge advantages of blockchain technology. This allows for:
24/7 global transactions
Immediate settlement
Very low fees with no intermediaries
To prepare your business in Europe, a good starting point is to know which stablecoins are already licensed and compliant with MiCAR. The Digital Euro Association and the MiCAR Tracker is an excellent starting-point.
Disclaimer: This article is for informational purposes only, reflects my own views, and is not legal, tax, or investment advice. I do not provide regulated payment or custody services.
Vibe Coding
Generate a App by Prompting, not by coding - here is an Example of a Analog Watch App - generated with Anthropic Claude Sonnet 4 Articfacts.
https://claude.ai/public/artifacts/e35a9180-3aa3-4bf1-aef7-c54098e1b763