Data is the foundation of every successful AI initiative, and we build that foundation. With a clear strategy, reliable data, and AI solutions that help companies make better decisions, faster.
Data & AI
Our Offerings
-
Data & AI Strategy
-
.svg)
Data Science
-
Data Engineering
-
AI Engineering & Operations
-
Decision Intelligence
Our Framework for Effective Execution: PAICE®
Spotlight
-
Training: Prompt Engineering to Boost Your Efficiency
With prompt engineering, teams in organizations are enabled to tackle complex challenges, work more efficiently, and drive innovation. We tailor this training to the needs of different users, such as requirements engineers, developers, and non developers, to provide customized strategies and tools that significantly improve efficiency in daily workflows.
-
Proof of Concept: Use-Case-Driven Design
Within just three months, we deliver powerful, validated concepts through our use case driven design, tailored precisely to individual needs. We work closely with stakeholders, define requirements, and develop a customized design, which is then validated in a proof of concept.
-
Assessment: Unlocking the AI blackbox
In a four week assessment, we evaluate your current AI maturity together and identify measures to strengthen AI adoption and capabilities within your organization. We also leverage explainable AI to improve transparency and build trust among end users.
-
Workshop: Unleash Data Possibilities
In a three day workshop, we identify the potential of your data to optimize value creation or develop new products and services. Based on an initial assessment of the current state and environment, we define prioritized, actionable use cases aligned with your business strategy.
Powerful Knowledge
-
How ChatGPT Enhances Customer Service
PoC for increased momentum in a mobility company: Our agent assist solution boosts knowledge and efficiencyLearn more about it How ChatGPT Enhances Customer Service
-
Optimizing processes with real-time analyses
Exxeta reduces logistics order processing times by 4.8% with BOS GmbHLearn more about it Optimizing processes with real-time analyses
-
International BI Competence Center
Enable efficient data-driven decisions in the company with the BI Competence CenterLearn more about it International BI Competence Center
Get in Touch
Hermann Speiser
Partner
FAQ
Data engineering is a key process in data analytics that focuses on transforming raw data into a structured format. This includes extracting data from various sources, transforming it into a standardized format, cleaning it, and integrating it into a database or data warehouse.
Data engineering is essential for building a solid foundation for data analytics and machine learning. It requires a combination of skills in data modeling, programming, and data architecture.
In today’s world, data plays a central role. This makes data engineering a critical capability for any company that aims to succeed.
Data science refers to the application of scientific methods, statistical models, and programming to large data sets. The goal is to identify patterns, generate insights, and derive actionable recommendations. It includes AI techniques such as machine learning and data mining.
Data science is a key capability for companies to make data driven decisions, understand customer behavior, and unlock valuable insights. Data scientists need strong skills in programming, mathematics, and statistics to create real value from data.
Business intelligence is a process that uses data analysis to support better decision making in organizations. Through data visualization in dashboards, companies can collect and analyze data from various sources such as sales figures, customer feedback, and marketing campaigns in one place.
Business intelligence tools enable users to quickly analyze data and identify trends to make informed decisions. BI helps companies become more effective and gain a competitive advantage by optimizing processes and enabling fact based strategic decisions.
Artificial intelligence is used in data analytics to identify complex patterns and make predictions. Techniques such as machine learning and deep learning make it possible to process large volumes of data efficiently and automate decision making.
By applying AI in data analytics, companies can respond quickly to market changes and generate more accurate forecasts. AI also helps automate processes, saving time and costs. Overall, it enables better data driven decisions and increases competitiveness.
Consulting in these areas offers several benefits:
Managing complexity: Data and AI are technically complex. Experts help you understand and apply these technologies effectively
Strategy development: We help you build a data driven strategy aligned with your business goals
Process optimization: Identify how AI can make your processes more efficient
Risk reduction: Avoid financial, legal, and reputational risks through expert guidance
Stay up to date: Keep track of the latest developments in AI
Training: Ensure your team has the skills to work with data and AI
Data protection and ethics: Stay compliant and apply AI responsibly
Cost efficiency: Despite initial investments, data and AI can drive long term savings
Competitive advantage: Stand out through effective use of data and AI