Redfield’s data analysts, engineers, and data scientists deliver the right tools and right methods.
We top this up with expert training and support for multiple user-types— you’ll never walk alone.
Gather and shape data from any source, merge and transform the data across all your data sources. Data Engineering comprises all engineering and operational tasks required to make data available for analytics. Without preparing the data the data scientists are unable to make accurate predictions. This is where data engineering comes into play. Our team is experienced in data preparation, ETL design, data modeling, relational and non-relational database design. We will help you build, tune and deploy your models with the right tools and methods.
- Developing end-to-end Data Pipelines
- Scalable solutions for data integration and ETL
- Ingesting Data from various sources into desired destinations
- Performing Data Transformations
- Performing Data Cleansing
- Maintaining Data Integrity
- Developing Data Models
- Data Warehouse architecture & performance tuning
Redfield take full responsibility of delivering a data science project. Companies that may lack the expertise Redfield can deliver a reference implementation to help companies wanting to get more into ML or AI based decision making and optimising customer understanding.
We understand the problem for many companies finding good data scientists. When you on-board our data scientists we work together with the team you have in place. By using tools that enables us all to work efficiently with data science tasks, we can improve the results. We deliver solutions our customers can easily understand, update and build on top of it.
- Reference implementation
- Predictive modelling
- Machine learning
- Customer segmentation
- Hybrid recommender systems
- Fraud detection
- ML for clinical data analysis
- Aspect Based Sentiment Analysis
- Network analysis
Redfield delivers solutions in AWS Cloud environment to quickly get you started with your data science projects. We provide cloud-scale centralized and scalable architecture that enables enterprise data science. AWS gives customers the widest array of analytics and machine learning services, for easy access to all relevant data, without compromising on security or governance.
- AWS Managed Services
- AWS Architecture & planning
- Amazon EMR
- Amazon S3
- Amazon Glue
- Amazon EC2
- Amazon Redshift
- Knime Server with auto scaling
We at Redfield are experts in Knime Analytics Platform. We are certified to provide the range of official Knime course’s. You can choose from our public courses or training sessions at your office. The on-site training can tailor made for your convenience.
- Knime Analytics Platform (2 day course)
- Knime Text mining course (1 day course)
- Knime Server (1 day course)
- Knime Advanced anonymization course (1 day course)
- Knime On-boarding and coaching
Exploit data science for your business using the right tools.
For many years consultants of Redfield have successully provided expertise and innovative solutions for business intelligence & data warehouse projects. Here you will find the most recent projects and assigments.
Meet the team
We help you drive your data science projects successfully
Redfield fully focused on providing advanced analytics and business intelligence since 2003. We implement the KNIME analytics platform for our clients and provide training, planning, development, and guidance within this framework. Our technical expertise, advanced processes and strong commitment enable our customers to achieve acute data-driven insights via superior business intelligence, machine and deep learning.
We believe that success is based on commitment and finding joy in work. We try to communicate this to all resources that work on a project. We work according to the continuous improvement model. We see the change management as a constantly ongoing job and we are happy to make suggestions for improvements.
You can trust we deliver the expected results.