The founders of Complexica have worked together for almost 20 years building enterprise software applications that are “smart” and “adaptive”. Such applications bring together the disciplines of algorithmic science and software engineering, as the “science” enables the "smarts" within the software. By applying decades of research in automated data mining, analytics, and expert systems, Complexica has developed Larry, the Digital Analyst® – a cloud-based software application that incorporates the latest advances from the field of Artificial Intelligence called Cognitive Analytics.
In general terms, Cognitive Analytics refers to sophisticated algorithms that can manage and analyse big data sets to help people make better, faster decisions. Each day, enterprises collect or aggregate vast amounts of data from very diverse sources and want to analyse these data sets to gain specific insights – for example, to understand how different customer segments respond to different product and service offers, how customer preferences change over time, how customer loyalty is generated and maintained, how promotional campaigns impact volume, margin, and product cannibalisation, and so on. The accuracy of such insights can provide a competitive edge.
Based on Cognitive Analytics, the primary task of Larry, the Digital Analyst® is to manage the interaction with internal data warehouses and external data sets, and to automate the associated data loading, handling, and analytical processes that lead to optimal decisions. Larry consists of a collection of machine-learning algorithms (e.g. Bayes nets, artificial neural networks, rough sets, classifier systems, support-vector machines, decision trees, genetic algorithms) that are used for various data mining problems and advanced analytics.
- Promotional planning, pricing & ranging
- Sales territory mapping, resource distribution & customer segmentation
- Call planning & sales effectiveness
- Pricing & margin
- Cross-selling, up-selling & churn
- Personalisation & Next Best Conversation™
- CRM automation
Because most companies maintain large data warehouses on what their customers bought and when, it’s possible to apply Larry to these problem domains to automate the data analysis process and generate actionable recommendations and optimised decisions that create value.
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