Alexander Suhov

We develop analytic solutions that go beyond the standard reporting features found in commercial CRM applications. Our services include building predictive models, bespoke customer segmentation algorithms, and custom dashboards tailored to individual client needs. To predict customer behavior, recommend personalized products, and optimize campaigns, we incorporate AI and machine learning in CRM data analysis. Our solutions provide real-time insights into customer behavior and market trends. These systems notify businesses about upselling or cross-selling chances in real-time when a customer is about to churn, offering immediate suggestions for action.

Healthcare data encompasses information from various clinicians, including doctors, specialists, labs, and hospitals. Patient-generated information is also part of it. Healthcare data analysts face technical, analytical, and interpretational challenges to gain valuable insights from this data. This article primarily focuses on providing guidance for extracting pertinent data from electronic health record (EHR) systems, as well as cleaning the data to eliminate errors and inconsistencies. Furthermore, it also discusses transforming data into suitable formats for analysis and using statistical and machine learning methods designed for EHR data.

Run charts, trend charts, and time series charts are essential tools for clear data visualization in healthcare analytics. They display data over time, revealing patterns and trends in healthcare settings. This article delves into the significance of these charts and explains how they can optimize data analytics processes in healthcare. At Belitsoft, we extend these insights by developing custom healthcare software equipped with advanced analytics and visualization tools to track and manage patient outcomes and workflows effectively. Keep reading to get the full scope of data’s role in enhancing healthcare decisions.