Data Analytics
⊣ Trusted by Leading Technology Partners ⊢
Our Data & Analytics Solutions
Emixa's AI Agent
Our innovative AI Agent chatbot application is designed to transform how businesses interact with their information. Leveraging the advanced capabilities of large language models similar to Chat GPT, our application offers an intuitive chat interface where users can converse with their enterprise documentation and data.
Emixa's Data Platform
From small start-ups to multinational (manufacturing) corporations, the need for timely, clear, and reliable insights has become paramount. We understand that no entity can thrive without harnessing the power of data effectively. But why is a modern data platform indispensable for your organization's success?
Standardised Dashboards
Our standardised dashboards are designed to give organisations clear, consistent and high-quality data reports. Our design priciples result in trustworthy data and faster, data-driven decision-making.
Data, BI & AI Strategy
Data Science & AI
Management & Reporting
Financial Analytics
Data Analytics Software
Microsoft
Microsoft excels in the field of data & AI, with powerful tools like Power BI, Azure Data Factory (ADF), Fabric, and advanced AI applications using Azure OpenAI.
Databricks
Databricks is widely known as a leader and pioneer in Data Engineering, Data Science & Machine Learning. Their platform offers a simple, flexible, and scalable solution.
SAP
SAP offers reliable and robust data applications through leading solutions such as SAP BW, SAP BPC, SAP Datasphere, SAP Business Data Cloud (BDC) and SAP Analytics Cloud (SAC).
⊣ CLIENT SPOTLIGHT ⊢
BTT Multimodal Container Solutions provides logistical solutions for containers. Its customer service receives hundreds of questions from clients about the status of containers. During Emixa’s Advanced Analytics Hackathon, our team built a prototype AI Assistant within 48 hours.
GVB, Amsterdam's public transportation company, operates a comprehensive network of subways, trams, buses, and ferries. The maintenance of this fleet is one of its key activities. Emixa supported GVB to unlock its maintenance data and use it in its daily operations.
Emixa supported Hanab Connectivity Solutions to create a modern data landscape to meet the company’s reporting and data science needs. Together with its data team, we implemented a state-of-the-art cloud data warehouse. Using the latest Microsoft Azure technology available in the market, which not only fulfils their current data demands but also offers lots of future AI possibilities. Ready for a data-driven future.
Ready to start your digitalisation journey?
Frequently Asked Questions
Discover how Emixa can transform your business.
We are not just technical experts in end-to-end (industry) Data & Analytics software; our people master both hard and soft skills. We prefer a shoulder-to-shoulder approach in which our clients are closely involved in daily decision-making, from design to implementation.
Yes, absolutely. Our FAST method (Fact Finding, Assessment, Solution Blueprint, and Transformation Planning) enables us to quickly assess your company's data & AI needs. Based on your current needs, we can fulfil roles such as data engineer, data scientist, data analyst, project manager, and more.
Our senior consultants and young professionals stay up to date on all the latest market trends. Together we can develop your ideal use cases that can serve as a quick start for your AI journey.
Yes, we do! Emixa supports organisations by offering customised training in the field of data engineering, analytics and machine learning.
We use the most advanced (cloud) solutions in the market and specialise in Databricks, Microsoft, SAP, and others. Moreover, our people have the necessary skills to work with similar tools from other providers.
We work with Databricks, Microsoft Fabric, Microsoft Synapse, Microsoft Power BI, SAP Datasphere, SAP BW, SAP Analytics Cloud, and Siemens Insights Hub. As mentioned, we are also open to working with other providers, tailored to the client's needs.