Digital Model Reference

Digital Takers has got a full digital framework that enables integration of legacy architecture (CRM, ERM, ECM, etc.) and the new digital value sources (market intelligence, customer experience, internal operations digitation, digital ecosystems integration). A well-coordinated use of Big Data, Mobile, Cloud, IoT, … enables organizations to succeed in the digital transformation.
Our approach, is to help our clients in modelling an optimized use of data up to what we name, Digital Integration Global Level. This is the optimization level that allows the true digital transformation.
We will be pleased to analyse your plans and how can Digital Takers support your organization in accelerating your digital transformation to resolve the current global challenges.

Adapt legacy technology to the new digital paradigms

  • Assess fit of current digital architecture with the Big Data master plan (CRM, Production Planning, Operations, etc.)

  • Design interfaces between the legacy systems and the Big Data platform.

  • Design legacy functional transformation to integrate the new Big Data ecosystem.

Market intelligence services through Big Data Analytics

  • Definition of functional context to obtain global information (competition monitoring, new sector products and services, disruptive technologies, brand tracking and brand image analysis, etc.)

  • Design and implementation of algorithms based on artificial intelligence to feed the Bid Data platform set up for the functional context in scope.

  • Integrate the market and business intelligence output into the Global Level Management Dashboard.

Big Data services for the new Customer Digital Experience

  • Big Data real time services to enable attraction and selection of new clients: Micro-Segmentation, social networks risk & reputation, re-targeting, etc. This allows the organization to get a platform for dynamic offer to clients though smart pricing and smart product/release.

  • Design and use of real time algorithms to generate multi-channel business events to improve abandon rates, customer profit, up-selling and cross-selling, portfolio customization and satisfaction and customized loyalty actions.

  • Define models focused on client lifecycle monitoring (fraud detection, claims, renewals, …). We use semantic based analysis, real time omni-channel events processing, historic trends analysis and external sources jointly with telecommunication techniques to assess and tune the service.

Big Data drivers for Operations Digital Transformation

  • Real time based Big Data services in operations events (Logistics processes, aftersales services, operations control, etc.) provide KPI’s that enable more effective decision taking and eventual counter actions.

  • Integration of algorithms based on machine learning technology to optimize business processes and production resources. Predictive modelling to improve utilization rates, resources costs, process lead time, new operations processes, etc.

  • Definition of Big Data based models to rationalize and optimize organization support functions: Talent Management models in HR, optimized supply models, simulation of strategic planning scenarios, etc.

 Big Data external digital ecosystems integration

  • IoT based reference cases design to optimize processes and production resources that can be deployed across the operations network of our clients.

  • Device selection services, big Data real time acquisition and usage to monitor operation events (Logistics processes, aftersales services, operations control, etc.)

  • Design of functional integration models that include legacy and Big Data systems able to manage information from IoT new ecosystems

 Define an integrated global layer

  • Design the new business digital architecture integrating base digital platforms (CRM, ERP, BI) with Big Data repositories, real time systems, IoT integration and mobility channels.

  • Selection of the technical design architecture, modules selection and Cloud connectivity of legacy and corporate Big Data, linkage between different modules of Big/Fast Data and BI information environments.

  • Deploy the integrated knowledge global layer for the digital transformation. Develop the Global Business Discovery Scorecard