Customer profiling and segmentation
As online space becomes competitive; every online user or customer is perceived as an asset on respective business. It is therefore critical to understand the needs of each customer as well as their dynamic change of interest over a time. Segmentation is one of the powerful yet efficient ways of demonstrating how a change in customer interest influence business processes. We help business create a customer profiling model using your own data and open data to better understand customer journeys, dynamic behaviours and the business environment.

Customer Churn:
How much do you know about your customer? Do you keep track of their sentiments regarding your services or products? Do you have the capability of predicting which customer is likely to leave and why? Dataknead uses data mining techniques to create models that predict customers that are at the verge of leaving and provides insights for reducing churn levels

Predictive Maintenance
Dataknead incorporates machine learning techniques in order to learn and analyse equipment data in a production line for the purposes of predicting any failures and pre-emptively arrange for maintenance.

Performance Measurement Framework
Are you struggling to define KPIs and supporting metrics that are critical in monitoring the performance of your business? We are here to help improve identity critical success factors in order to achieve business goals.

Research and Consultancy
We conduct information architecture audit by looking at the content that businesses push out to their target market against the data available on the web. Using machine learning tools, we perform a deep dive to the web in order to learn what web users are searching. Businesses will benefit from our custom-built models to improve their content design strategy.

Training
We run several training courses in Machine Learning, Web Analytics, Search Engine Optimization and Artificial Intelligence. All our courses are tailored to individual needs and business requirements.