Case Details

Making sense of disorganized data with a defined roadmap for a leading automobile brand

Thanks to the Data Roadmap, data quality problems can be solved. Brainstorm Workshop and Follop-up Sessions to obtain a clear improvement in the approach to data projects.

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Andere cases van dit bedrijf

Elevating customer insights with data enrichment in pharmaceuticals

Improved customer knowledge and smart decision making thanks to the use of data to inform future marketing campaigns. SERP API to filter certain results.

Empowering fraud detection in banking

OCR and Steganography to detect obvious and non-obvious fraud.

A complete approach to automating document information extraction

Automatization 47% of all documents and €13.000 spared cost a year. OpenCV, PyTorch, Docker, AWS and Cloud Development Kit.

Efficient next-level document processing in banking

Time saving, improved classification and cost reduction thanks to a single call through an API from the necessary department.

Document classification and prediction using an integrated application

Classifying text strings or documents into different categories thanks to NLP. Deep learning BERT and Machine learning XGBoost as used models.

Automating document error detection from reimbursement requests

Automatization 47% bills with a small error rate using the Gradient boosting tree.

Anticipating employee mobility in banking

Adaption of the recruitment strategy for a large financial institution.

Smarter workforce management with forecasting at a health insurer

Creation and implementation of a tool to make workforce management more efficient over the long term.

HR analytics to keep up with the fast pace in hospitality

Help in improving the workface management for a fast-growing player in the hospitality industry.

Advancing digital marketing solutions with an improved data warehouse

Development of ETL pipeline and data warehouse based on cloud infrastructure to make quick and impactful decisions. ETL for the data warehouse with PostgreSQL database in AWS cloud and Google BigQuery with analytics data.

Boosting commercial initiatives with an automated prospecting tool in utilities

Improving management performance by scraping and analyzing roofing data. Categorizing and structuring the collected data in Excel. Turns into a direct impact that is used as a prospecting tool.

Optimizing growth drivers with a supportive data infrastructure in hospitality

Robust and flexible analytics stack based on cloud infrastructure to optimize existing growth drivers and identify new ones. This by redesigning data flows and products based on concrete use cases. Results in time savings, up-to-date data and a versa

Modern reporting to support a complex field services project

Clients use automated data model and have preliminary BI reporting for the entire commissioned project. Main objectives are to build a new data model for BI and to refine and prioritize the business needs.

Data visualization that scales for an insurer

Creation of the data lake increases the availability of data across the entire company. New organizational structure delivers reports much faster.

Improved data-driven pricing strategy in automobile leasing

An improved price-setting model that enabled the car leasing company to offer competitive rates to its customers thanks to a new data-driven pricing strategy. Predictive models aimed at forecasting the occurrence and severity of a claim to predict fu

The power of scenario building in a prolonged crisis

The large effect of Covid-19 leads to uncertainty about consumer behavior. Therefore, the mid-term impact is estimated using scenarios that are developed step by step. Using the scenarios, a number of initiatives are proposed with the aim of monitori

Designing a digital transformation project roadmap for a health insurer

Provide customers with a pragmatic data roadmap to ensure they get the most out of their new cloud environment. This has the effect of better customer service and increase revenues.

Keeping an eye on the competition in banking

Being more reactive in price strategy and making sure to always be in-market and reacting swiftly to any competitors' change or promotion.

Simplifying the loan approval process in lending

Refine and automate part of its lending decision by creating a rating model giving score from 0 to 100% to new loan applications.

Identifying commercial potential with segmentation in insurance

Project to better interpret their brokerage network on a province-by-province basis

Improved receivables processing for debt recovery

Top 10% of the cases have an average recovery rate of 90% thanks to a working method which consists of two modules. A Predictive Module an Geo-Marketing Module.

A dunning process that works

Positive return on investment in a matter of weeks thanks to operational efficiency, automation and amounts recouped. Using process optimization and a smarter workforce dispatching.

Amplified B2B sales with segmentation in retail

Segmentation of customers and consolidation of outputs for CRM import which resulted in B2B sales expansion.

Optimizing the marketing mix in pharma

Optimization of the marketing mix of a large pharmaceutical client leading to a better allocation of hundreds of thousands of Euros in marketing budget globally.

Smarter segmentation to improve the customer experience in retail

Customer loyalty increases thanks to data analysis and segmentation (machine learning algorithm based on existing variables).

Boosting the performance of coupons in retail

Development of a model and a methodology that helped a leading player in the retail industry to determine the optimal coupon based on different variables, and an automation roadmap to enrich and industrialize the models in the existing systems

Securing customer loyalty with targeted retention initiatives in telecom

Consolidation of customer data with billing and network data into data warehouse decreases churn rate to 1%

Predicting customer churn to drive retention measures

Thanks to the data analysis and modeling in TIMi data interpretation tool, improvements in customer churn as a result of being able to make smarter decisions around coordinating commercialization efforts

Report automation at a business school

Development of an automated reporting tool at a business school which allows to publish up-to-date spreadsheets and graphs on demand providing the marketing and operational teams with insights and freeing hours of work to invest in value-adding tasks

Scaling cross-sell initiatives with predictive scoring in B2B services

Developed a model that extracts data from different sources and analyzes it, shows predictions, and offers explanations. The client can now rely on predicted scores to target customers during their cross-selling campaigns.

Visibility into marketing effectiveness with dashboards and reports in entertainment

Implementation of the Power BI solution in order to improved data oversight to support quicker marketing decisions.

Make your customers an offer they can’t refuse (telecom)

Deploying an up-sell model that led to a double-digit increase in the conversion rate on all eligible calls.

Smarter segmentation leads to better decisions in health insurance

Implementation of smarter segmentation allowing the client to maximizing sales from existing customers and focusing customer acquisition on those with the most significant commercial potential.

Prioritizing B2B sales activities in telecom

Prioritizing B2B sales activities by a better understanding of product preferences, a clearer view of over/under-performance and a significant improvement of the sales ROI.

Make your customers an offer they can't refuse

Increase in commercial performance through up-sell campaigns. Commercial justifications and up-sell propositions led to a double-digit increase in conversion rate.

Getting the price right in B2B insurance

Increase profitability by redefining the pricing of business insurance products. Tool for internal teams to reduce costs, create new risk indicators and save time.

Setting the optimal price for home security services

Optimization of price increases at the customer level and maximization of loyalty by in-house BI teams to build price sensitivity models. Simulation tool to predict customers' reactions to price increases based on their price sensitivity.

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