Glinz & Company: Digital strategy boutique creating human-centered solutions.
Analytics & AI Translation
We integrate the development of digital strategies with the promotion of trust in AI and data systems.
Identify, Connect, Visualize, Understand
and eventually act on your data
Get those hearts your brand deserves
by using customer data the right way.
Strategy Consulting & Trust Advisory
We build digital solutions that align stakeholder needs with technical feasibility and financial viability. In today’s digital landscape, this requires placing human experience at the core of every decision. At Glinz & Company, our integrated approach combines Digital Strategy Consulting with Data & AI Trust Advisory, enabling trustworthy innovation that builds lasting stakeholder confidence.
Our Strategic Advisory tackles today’s core business challenge: creating data-powered digital strategies that build competitive advantage while securing stakeholder trust. We envision a future where innovation and governance align seamlessly, making data & AI a strategic asset that drives business goals through clear, principled thinking.
Our Data & AI Trust Advisory provides strategic guidance and implementation frameworks that ensure AI systems are transparent, accountable, and ethically sound throughout their lifecycle. This function helps organizations navigate stakeholder expectations and complex regulatory requirements while establishing governance structures that build lasting confidence in data- & AI-powered solutions.
Investing in digital trust is not just a regulatory requirement – it is a business imperative. Companies that proactively build trust see tangible benefits, including:
Consumers are more likely to engage with brands that prioritize privacy, transparency, and ethical AI practices.
Trustworthy businesses stand out in crowded markets and attract more users.
Compliance with evolving data and AI regulations minimizes legal penalties and reputational damage.
Users are more willing to share data when they trust that it will be used responsibly.
Conversely, organisations that fail to prioritise trust risk encountering reputational crises, regulatory penalties, customer attrition, and a reduction in market share. Trust is no longer optional; it is the foundation of sustainable business success
The time to act on digital trust is now. Businesses, governments, and technology providers must work together to establish a new standard for digital ethics, privacy, and AI transparency. To that end, we urge:
Make trust a core business strategy, invest in ethical AI development, and prioritize consumer privacy as a competitive advantage.
Design AI systems that are explainable, fair, and user-centric, ensuring transparency in automated decision-making.
Regulators and policymakers should create and enforce balanced policies that protect consumer rights while fostering innovation and responsible AI adoption.
Demand greater transparency from organizations, engage in digital literacy initiatives, and push for ethical digital practices.
By working together, we can create a more trustworthy, ethical, and transparent digital ecosystem that benefits businesses, governments, and consumers alike. The future of digital trust is in our hands—let’s build it together.
OUR FOCUS AND APPROACH
Digital strategy no longer complements business strategy; it constitutes its fundamental framework. Success requires both breadth—considering the entire ecosystem from users to technologies—and depth through carefully selected focus areas that create competitive advantage. Our approach balances this comprehensive view with targeted capabilities, ensuring digital initiatives advance core business objectives while establishing the governance essential for trustworthy AI implementation.
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Our digital focus areas
- Data Value Creation & Trust
Maximizing data asset value through ethical practices that maintain stakeholder trust and transparency. - AI Strategy & Governance
Aligning AI initiatives with business objectives while establishing governance frameworks that ensure responsible, compliant implementation. - Digital Business Transformation
Reimagining business models and processes through strategic integration of AI and data capabilities. - Analytics & Decision Intelligence
Enhancing decision-making through AI-powered insights, augmented intelligence, and targeted visualization. - Customer Experience Design & Personalization
Crafting human-centered digital experiences with AI-driven personalization that respects privacy boundaries. - Operational Excellence & Automation
Optimizing processes through intelligent automation that balances efficiency with human workforce augmentation.
Key elements of a digital strategy
Data
- Strategic Asset Management: Treating data as a core business asset with ownership, quality & governance
- Value Extraction Framework: Converting data into insights that drive business outcomes
- Trust Architecture: Embedding privacy, security & ethical considerations throughout the data lifecycle
People
- Capability Development: Building digital literacy & specialized expertise across the organization
- Cultural Transformation: Fostering data-driven decision-making & continuous innovation
- Cross-Functional Collaboration: Eliminating silos for integrated problem-solving
Product/Service
- Experience Design: Creating human-centered, personalized interactions
- AI-Enhanced Portfolio: Strategically incorporating AI capabilities into existing & new offerings
- Value Proposition Evolution: Transforming data into marketable data products & services
Processes
- Intelligent Automation: Identifying high-value opportunities for AI-powered process enhancement
- Agile Implementation: Enabling rapid iteration and adaptation to evolving requirements
- Measurement Framework: Establishing clear metrics to evaluate digital initiative performance
Infrastructure
- Technology Architecture: Designing flexible, scalable foundations that support digital ambitions
- Integration Strategy: Ensuring transparent connectivity between systems, data sources, and applications
- Governance Structure: Balancing innovation with risk management
In simple words: A digital strategy is a blueprint, layout, design, or idea used to accomplish a specific goal with the benefits of digital technologies and tools. This blueprint needs to answer why you need to do what and how this needs to be done. Such a strategy is inherently flexible and open for adaptation and change when needed.
Defining the why?
- Trend Analysis - Business Objectives - Situation Analysis - Capability Map - Gap Analysis
Defining the what?
- Ideation Workshop - Guidelines - Use Case Definition - Prototyping - Use Case Evaluation
Defining the how?
- Governance Model - Operating Model - Business Case - Measures and Monitoring - Implementation Roadmap
Analytics & AI Translator
As Analytics & AI Translators, we bridge the divide between technical complexity and business value. Our human-centered approach and data-driven methodologies now extend to comprehensive AI implementation and governance, ensuring that advanced analytics and AI solutions are not merely technically sound but strategically aligned, ethically deployed, and fully operationalized across your organization.
Our 2025 “Digital Trust” whitepaper outlines a framework for building trust in data analytics & AI systems. Read or download it for free.
Whitepaper key points:
- 77% of executives say trust is vital for AI potential.
- Trust erodes from data breaches and opaque AI.
- Solutions: transparent data, explainable AI, user control, industry teamwork.
- Implementation needs assessment, strategy, governance, engagement, improvement.
- Trust-focused firms retain 30% more customers.
Read our whitepaper
About Glinz & Company
Daniel Glinz founded the company back in 2014 and heads up its strategy practice.
He is a dedicated consulting professional with more than 20 years’ experience in digital transformation management. His area of distinction is a unique mix of skills and experience in business, design and technology.
With a broad academic background from leading management and design universities and extensive project experience with international consulting firms, Daniel combines groundbreaking conceptual work with the ability to shape and actually transform businesses. Daniel Glinz holds a master’s degree in Business Administration from the University of St. Gallen and a master of advanced studies degree in Mobile Application Design from the Zurich University of the Arts. He developed a keen eye for data at UC Berkeley.
Accompanied by highly skilled professionals Glinz & Company is able to offer a full set of capabilities.
The iceberg.team is a netwotk of data professionals hand picked to effectively build data-driven products and services.
Bigger opportunities are usually pursued in collaboration with major management consulting firms.
Research
We can do wonderful things with data. But all these actions can have unwanted effects or can even be deemed illegal under new legislation such as GDPR without the user’s consent. Extracting insight from consumer data requires respectful and farsighted handling of personal data. In a world where privacy is withering away like ice in summer, understanding and building online trust are essential business capabilities.
Why is trust a key success factor in digital markets?
Digital products and services obey the effects of the platform economy. Once first movers successfully passed the period of deception they are hard to catch up. This is why: Constantly improving algorithms lead to digital products and services. When done right, these data products add value to the customer. This perceived value added will convince customers to provide even more data. The use of data products itself leads in this perfectly closed loop to a ever increasing wealth of transactional and behavioral data.
Trust is the enabler to generate this feedback loop that adds value with every iteration.
We developed an extensive framework that helps to understand and shape online trust
The iceberg trust model draws on recent findings from socio- and neuroeconomic research. Researchers have come a long way in analyzing online trust. We combine these findings into a framework that not only allows understanding how online users actually trust but rather identifying where businesses can take influence.
Explore our trust model
VENTURES
Innovation in the digital and analytics landscape extends beyond established organizations. Emerging ventures often deliver the most innovative solutions and agile approaches. We actively partner with high-potential startups to incorporate cutting-edge thinking into our client solutions, ensuring access to the full spectrum of transformative capabilities while supporting the broader innovation ecosystem.
Daniel Glinz is an accredited private investor with the b2venture network and the Swiss ICT investor club (SICTIC) Together, we identify and realize direct investment opportunities in data-driven ventures. We invest at early stages (seed, pre-A and A-stages). Business plans are important but not essential; We invest in great products and teams. A minimum viable product is a must.
Digital trust is the currency of today and will be central to defining the winners of tomorrow.
Latest blog posts
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Envision 2118
Mindfire Foundation Essay: What will be our reality? It doesn’t take the incoming stream a lot of effort to rouse Tala from her sleep. With small eyes, she notices how the display on the back of her left hand establishes a connection to her beloved......
23 April, 2018 No comment -
Recapturing personal data and identity – How a Swiss project may lead the way
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22 February, 2018 1 Comment -
Digital Trust – towards a more sustainable approach to personal data
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18 January, 2018 No comment -
Let’s talk data – insights from data natives 2017 Berlin
Here are some learnings from this year’s data natives conference in Berlin. The conference for the data-driven generation:...
17 November, 2017 No comment -
HWZ Disruptive Technologies 2017
Vertrauen als Betriebskapital. Vielen Dank an Rita für die Zusammenfassung und an die gesamte Class of 2017 (A) für den spannenden Tag. ...
14 November, 2017 No comment
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