Developing a holistic data strategy and solution architecture gives our clients the freedom they need to make business decisions fast.
From operational efficiency, investment decisions, and product innovation, our data engineering practice brings a holistic view to data, data flow and data architecture to create a clear sense of where the business is going and how to get there. Then we can utilize advanced data strategies like computer vision, NLP, AI, RPA and ML to create new opportunities and experiences.
DATA ENGINEERING CLIENTS
Data flows and architecture permeate the entire organization. The better the data, the bigger the opportunity.
Icreon’s Data Engineering services start with data strategy and data architecture then delivers business intelligence, intelligent UX, data science and effective process and experience automation through artificial intelligence and machine learning.
Understanding what data can do for your business. Then, defining how your organization can learn, store, process and govern the data you have available and the data you need.
We build robust, accessible data blueprints that map out how data flows, is collected, integrated, governed and secured.
AI / ML
We put data to work. By using the data architecture and stack, we use artificial intelligence to process and analyze data. Then, we use machine learning to execute programs or actions.
NATURAL LANGUAGE (NLP)
Moving beyond text communication and getting into the nuance of voice and regionality, our NLP engineering let’s our clients decipher data in new ways.
Every action in the physical space now has a reaction in the digital space. We help clients track sensorial data to add to their stack and architecture to learn more.
Having the data is one thing. Acting on it is another. We help clients make sense of their data by connecting their data to their business and customer KPIs – increasing organizational intelligence.
Power comes to those who can predict the future. We help our clients use data intelligence to activate statistical models to predict what’s next.
Acting on data goes beyond reporting and analytics. We use data to power algorithms and AI to bring user experiences to life through an interface or interaction.