Finding data sets and refining these with intelligent applications

Complex projects with mass data and diverse data sources are our daily bread. Discovering hidden patterns and exciting interrelations is our passion. We have built up a comprehensive library here over the course of many years, this making tried-and-tested algorithms and functions available for projects on a modular basis. We now provide these as a platform module as part of our DATA-X library.

The logic and developed intelligence can therefore be adapted to individual project situations and use cases. This speeds up individual projects crucially, while quickly making results quantifiable. As part of an agile procedure model, we accompany customers step by step with modular sprints past the finishing line. This maximises the project ROI and enables bespoke manufacturing of applications in various business sectors.

Fast. Targeted. Based on a smart platform strategy.

DATA-X bundles the know-how of internationally renowned data scientists

The modules making up the DATA-X library are continually developing further. Here lexoro works on standardisation with its own Data Science Team, intermeshing this with prominent international research institutes and universities on a project-specific basis. This enables a maximum level of problem solving intelligence in the modules.

The following application scenarios could therefore be mapped in previous project situations:

  • Influencer Mining
    Identification of the key players in a certain environment (customer, employees, stakeholders)
  • Fraud Detection
    Revealing misconduct and fraud cases, plus derivation of fraud risks
  • Churn Detection
    Optimisation of retention strategies for customers, employees and other stakeholders by deriving migration trends
  • Customer-Lifetime-Value
    Optimised value determination for the customer over the timeline. Derivation of diverse campaign support for enhancing value and customer management
  • Expert Clustering
    Finding and appraising persons and groups in respect to certain expertise (thought leaders, topic experts)
  • Community Health
    Determining the quality of communities and deriving KPIs and action points for hitting the target precisely
  • Return on Community (ROC)
    Calculating the direct and indirect value of a community, for deriving targeted measures and investments
  • Seeding Management
    Predicting information spread (true / false) and tools for counteracting, accelerating and optimising.
  • Smart Cockpits
    User-friendly interface for grouping together the most important control information from data and process models. Individually customisable to business processes, technical fields and specific applications.

The DATA-X library can be used in all conceivable “predictive” projects to retain added value. The remit of initiatory discovery workshops is to find out more precisely which specific application the customer would like to address. Building on this, it is possible to specify what effect DATA-X can have on the relevant project.

Mining hidden treasure: systematic yet agile navigation

The DATA-X project model accompanies you step by step. With an agile project methodology, we can help you to mine a hidden wealth of data to realise effective applications and unlock huge potential.

  • Data Map
    Derivation of the current data structure and fast analysis of the potential options for various applications
  • Data Exploration
    More extensive examination of the data and data contexts
  • Pattern Map
    Examination of discernible patterns and connecting nodes
  • Predictive Modelling
    Detailed implementation of data mining and predictive modelling activities
  • DATA-X Use-Case Evaluation
    Intensive discussion with the customer’s technical departments in regard to deriving potential application scenarios and analysis models
  • Use Case POC & Prototyping
    Realisation of a proof-of-concept prototype so as to check the analysis aimed for. Measuring the functionality via predefined KPIs.
  • Deployment
    Specification of the desired functionalities and implementation through to acceptance and integration in existing system worlds.