KNIME Analytics Platform

KNIME Analytics Platform is a data analytics tool that enables the integration, processing, analysis and visualisation of data. A company implementing projects using the KNIME Analytics Platform can offer a wide range of services related to the development of analytics and data science solutions.

Services:

1

Consultation and analysis of business needs

  • Evaluation of the customer's business requirements for data analysis
  • Advice on the selection of appropriate KNIME Analytics Platform tools and modules to meet analytical objectives
  • Preparation of an implementation plan for analytical solutions based on KNIME
2

Implementation and configuration of the KNIME Analytics Platform

  • Installation and configuration of the KNIME Analytics Platform on local or cloud servers
  • Adaptation of the analytical environment to the specific needs of the client
  • Integration of KNIME with other systems, databases and data sources
3

Data processing and integration

  • Creation and optimisation of workflows for processing large data sets
  • Integration of data from various sources (e.g. SQL, NoSQL, CSV files, Excel, API)
  • Automation of ETL processes (Extract, Transform, Load) using KNIME
4

Data modelling and predictive analytics

  • Building statistical and predictive models using machine learning methods
  • Regression, classification, clustering and time series analysis
  • Optimisation and validation of predictive models and evaluation of their effectiveness
5

Data visualisation and reporting

  • Creation of advanced data visualisations and interactive dashboards
  • Generation of automatic reports that can be distributed as PDF, HTML, Excel, etc.
  • Integration of KNIME visualisation with other BI (Business Intelligence) tools
6

Extensions and creation of custom KNIME nodes

  • Creating custom nodes in Python, R, Java, etc.
  • Implementation of additional functionalities and customised extensions
  • Integration with external libraries and tools (e.g. TensorFlow, scikit-learn)
7

Training and workshops

  • KNIME Analytics Platform training for analytics and IT teams
  • Organisation of thematic workshops (e.g. predictive modelling, text analysis)
  • Creation of educational material and documentation for end users
8

Audit and optimisation of existing workflows

  • Review and optimise existing KNIME workflows for performance and scalability
  • Identification of bottlenecks and improvement of analytical processes
  • Recommendations for improvements and the introduction of new features
9

Technical support and maintenance

  • Bieżące wsparcie techniczne w zakresie używania i konfiguracji KNIME Analytics Platform
  • Regular software updates and support in solving technical problems
  • Assistance in adapting to new functions and versions of KNIME

Projects using the KNIME Analytics Platform can help organisations realise the full potential of their data, create effective analytics solutions and optimise analytics processes, resulting in better business decisions and operational efficiency. Want to know more? Check out the pages:

https://www.knime.com/software-overview
https://www.knime.com/
https://www.knime.com/why-visual-workflows