of IT organisations will apply advanced analytics to application development by 2020, to improve application quality and speed of delivery.
1. Situational analysis
We’ll assess your current operational performance, then define any challenges, bottlenecks, priorities and opportunities.
2. Data science strategy
We define a data strategy based on your assets available and how well it answers your business goals, before building business cases to kick start the process.
1. Defining your ultimate goals
Our data science experts undertake a rigorous analysis of how your business goals match the modelling approach and understand where the gaps in performance and technology are, to define the next steps.
2. Creating a roadmap
We design a roadmap that encompasses programs that will help you reach your goals, what the key objectives are within each program and all necessary project milestones.
1. Defining scope and requirements
We work with you to validate business understanding and define your criteria for success. Our team will prepare your data for analysis and recommend which data to use and how.
2. Modelling
We move on to PoC development, where we can validate initial ideas before we begin pre-testing on your real-world data.
1. Model validation
We breathe life into your vision by creating a production model, making any adjustments necessary to ensure seamless integration.
2. Real-world integration
With you and your stakeholders 100% happy, we move on to full-scale development – integrating the model within your real production environment.
Aggregate, store and structure your data for online, real-time, descriptive, predictive/prescriptive analytics and reporting.
Build consistent experiences and branding across every UI interaction. Scaleable to offer new touchpoints and device types.
Integrate services and comms through a centralised core for a smooth transition to the new model. It’s adaptable and scalable – covering message mediation, governance, monitoring and process management.
Unlock the potential of connected devices to enable a robust mobile strategy, with device monitoring and offline data aggregation.
Store and control enterprise-wide user roles, rights and permissions with authentication/authorisation solutions – like Single Sign-On
Log and monitor all enterprise events and grab data from any source, in any format, with search, visualisation and real-time alerts.
We help clients in e-commerce, retail, fashion and more unlock valuable data insights to tailor their service via personalisation and targeted e-commerce offers, reduce churn and drive sales. Smart recommendations engage buyers and provide faster conversion, increasing average order value and reducing sales overheads.
We help the logistics and agriculture sectors integrate technologies that allow for predictive maintenance, smart route planning and yield optimisation, while our finance clients benefit from process automation, fraud analytics and risk management.
DOUX’ data science services help you implement predictive analytics models that allow you to instantly qualify leads, quantify successes and predict market demand and resolve challenges. This lets you focus efforts and investments where you’re likely to get the very best ROI.
We’ll help you optimise key processes like call centre workload optimization, manage your assets for better cost balance and optimise parts and inventory. You’ll improve controls, measure and manage performance with ease and reduce your time and budget resource.
We can help you develop smart digital assistants that provide swift, personalised responses. Using natural language processing you can transform unstructured content into meaningful data. It improves all aspects of computer-to-human communication, so you’ll deliver a new level of user experience that boosts acquisition and retention.