
Customer View
Get a comprehensive and unified view of the customer based on all available data sources.

Predictive Analytics
Exploit robust patterns in customer behavior to create trigger-based, automated workflows.
Get a comprehensive and unified view of the customer based on all available data sources.
Exploit robust patterns in customer behavior to create trigger-based, automated workflows.
A single view of the customer is the cornerstone of effective insight development and advanced data-driven execution.
First step is to identify all relevant customer data sources. These include, for example:
Data are transferred securely to Innohead's data platform, transformed and grouped into a single customer view.
We integrate data across all common systems and handle millions of records with minimal resource drain on your IT department.
Discover robust and actionable patterns in your data with machine learning algorithms.
Innohead uses machine learning algorithms to address questions such as:
A data mining engagement starts with an introductory session identifying available data sources and initial hypotheses. Next, progressively more refined findings are presented and discussed - typically in the course of two workshops.
To act on insight, customer data must be available to business systems in processed form. Innohead extracts a large number of features from customer data, which in turn are made available via a web-interface or uploaded to business execution systems. Examples of typical features:
Such features are key building blocks for dialogue flows, customized website widgets and other interaction features. A dashboard is provided for monitoring the evolution of the customer base and the effectiveness of communication. Dashboards often include map elements.
Advanced personalization in communication and product offerings require up-to-date predictive analytics. Based on daily data updates, Innohead provides ongoing predictive services such as:
Scores are uploaded to business systems or provided as a web service for further integration. A dashboard is provided for monitoring system status and predictive performance.
Founder, PhD Economics & Management
Email: niels@innohead.com
Partner, Cand.Oecon
Email ann@innohead.com
Phone: +45 53 27 81 89
Data Scientist, MSc Economics
Email karsten@innohead.com
Phone: +45 30 13 82 63
Developer, PBA Software Development
Email peter@innohead.com
Data Magician
Email bot@innohead.com
info@innohead.com | ||
Phone | +45 36 95 34 46 | |
Office | Vesterbrogade 74 DK-1620 Copenhagen |
|
CVR# | 18 72 16 00 | |
Parking | Tullinsgade 7 |
Mon-Fri 09:00 - 17:00