Solutions

1. Introduction Biomedical organisations in Europe increasingly rely on large datasets to support clinical operations, research activities, and regulatory reporting. These datasets include laboratory measurements, electronic health records, diagnostic information, and longitudinal observations collected over extended periods. As the volume and complexity of biomedical data grow, the need for reliable data quality processes becomes essential….

In today’s digital world, data is the most valuable resource for any business. However, collecting, processing, and storing this data can become very expensive and technically complex. This is especially true for projects with high traffic, such as e-commerce platforms or popular mobile applications. When a project generates millions of events every day, using standard…

Analytics data without strict traffic filtering actively damages business intelligence. When automated traffic infiltrates the data warehouse, it artificially inflates session volumes, drives down Conversion Rates, and distorts Cost Per Action (CPA) and Customer Acquisition Cost (CAC) metrics. To address this, we engineered an Analytics Firewall natively within Google Cloud Platform (GCP). The objective was…

Data warehousing in Google Cloud Platform provides high-speed processing for large datasets, but it requires strict FinOps control. Allowing analytical models direct access to raw data multiplies the total cost of ownership (TCO). The solution is establishing strict data modeling discipline and building a Directed Acyclic Graph (DAG) with a centralized Staging Layer in Google…

1. Context and Background Modern digital marketing relies heavily on accurate data to evaluate channel performance and optimize spending. While primary advertising platforms like Google Ads or Meta provide native Data Transfer Services (DTS) to load data directly into Google BigQuery, affiliate marketing networks often lack these seamless, out-of-the-box integrations. Platforms like Scaleo and Affise…

When B2B transaction volume grows, the total value of closed deals in the CRM inevitably diverges from the total value of invoices and payments in the accounting system. These systems track different stages of the commercial lifecycle: the CRM captures commercial intent, while the accounting ledger records legal billing and cash settlement. 1. Root Causes…