Data Screening with paiqo

Data Screening can be utilized in various business areas, such as in your finance department to review transaction data, in marketing to improve customer data, or in production to optimize data on manufacturing processes. It also provides a better basis for decision-making in procurement and sales control. To achieve this, we create the necessary conditions by establishing a solid data infrastructure, integrating data sources, and providing appropriate data cleaning and validation tools. Moreover, we assist you in developing a culture of data-driven decision-making through workshops, training, and consulting tailored to your individual needs.

Before implementing technical measures, a workshop is conducted to ensure that all participants are pursuing the same goals, which are, of course, discussed and defined in detail. Moderated by experienced data scientists and business experts, we clarify which business objectives should be pursued, what current challenges exist, and how the current maturity level of the company's data situation should be assessed. Based on this, we design the individually required infrastructure.
The actual Data Screening then proceeds with the establishment of the technical infrastructure. Subsequently, data cleaning and validation rules are developed to identify and correct inconsistencies, duplicates, and missing values. Based on this, we assess the data's suitability for AI analyses and thereby uncover previously unknown insights and relationships.
The evaluation of your data foundation is always aligned with the specific use cases to ensure the immediate added value of each measure for business practice and your daily operations. From diligent data exploration and clearly structured modeling we derive definitive action recommendations and a roadmap for the development and further optimization of your internal data infrastructure.

At paiqo, Data Screening is a systematic process in which data is checked for quality, completeness, consistency, and relevance to enable precise and reliable analyses for data-driven decisions. The benefits are manifold: With clearly presented and easily understandable analyses, you can quickly recognize market situations and trends and react accordingly. Visualizing key insights as dashboards also minimizes the risk of errors in data analyses. AI and Machine Learning models further ensure the long-term quality of your information bases, providing data that is reliable and consistent. The availability of data stocks is specifically tailored to different use cases, ensuring that access to certain data within the company can be easily managed.