Data analysis
Statistical analysis, trend and seasonality analysis
In our statistical analyses, we assess data objectively and in their full complexity, recognising hidden correlations and patterns. Trend analysis allows us to identify longer-term trends, so our clients can prepare for future market developments. Seasonality analysis reveals periodic changes and patterns, which are particularly useful for predicting demand fluctuations and for planning seasonal campaigns. Overall, these analyses help our customers to make data-driven decisions, optimise their resources and thus increase their competitiveness in the market.
Predictive modeling, scenario analysis
Our forecasts of future market trends help our clients to make proactive decisions. Scenario analysis models alternative scenarios based on different assumptions, enabling our clients to prepare for potential future changes, thus minimising risks and optimising strategies.
Business Intelligence (dashboard building)
Through our business analytics and custom dashboard solutions, our clients receive easy-to-understand visual data, updated in real-time or on a regular basis. Dashboards facilitate the interpretation of data, so managers can immediately detect trends and anomalies and react quickly to market changes. We also regularly update our e-commerce dashboards as multiclient products, a demo version of which is available by clicking here.
Webscraping and text mining
An endless amount of data and information is available online, but filtering out the essence is not easy. By webscraping and using data mining and text mining techniques to process the data we collect, we provide our clients with valuable market insights, whether it’s about how a company, a brand or any topic is perceived, customer opinions, pricing strategies or trends. This information helps our clients to gain a competitive advantage, optimise their prices and improve the perception of their products or services.
Data structuring and data cleaning
Thanks to digitalisation, companies have a vast amount of valuable data about their own operations and their customers, but this often remains underutilised. By structuring and cleaning this data, and displaying it on a dashboard if required, we help our customers to access their own data in a consistent and user-friendly way.
Database development and data transformation
Through database building and data transformation, our customers can efficiently manage and integrate data from different sources. With data transformation, data is unified, which enables easier access, management and analysis, supporting complex analytical tasks and business intelligence solutions.
Network analysis and graph-based modeling
Using network analysis and graph-based modelling, we explore complex relationships and interactions in the data. Graph-based modelling enables the visualisation and analysis of social networks, identifying opinion leaders, influential customers and key relationships. This helps our clients improve their targeted marketing campaigns and increase customer retention.
Geoinformatics and network visualisation
Geospatial methods are used to analyse and visualise geographic data and networks, be it transport routes or telecommunication and energy networks. Geospatial analysis can help us map the fastest and most cost-effective routes, identify critical points in a network, assess coverage, and support our clients’ planning and strategic decisions.
