Name: Belitsoft
Telephone: +1 (917) 410-57-57

business intelligence blog

It's not a trivial task to transform electronic health records into insights. Data scientists have to extract suitable data from the system, clean it of errors and inconsistencies that always exist, and finally use appropriate statistical and machine learning methods to achieve the main goals. These goals come from healthcare domain experts and may sound like "improve patient care."

Alexander Suhov • 19 min read

Data Warehouse vs Database

You need a Data Warehouse if you plan to implement a Business Intelligence (BI) solution to support your decision-making and improve your business processes. But DWH development is linked with additional expenses. Is it possible to save your money by implementing BI solution without DWH?

Dmitry Baraishuk • 2 min read

CRM Analytics

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.

Alexander Suhov • 11 min read

Run Charts in Healthcare Data Analysis

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.

Alexander Suhov • 11 min read

Healthcare Business Intelligence

Healthcare business intelligence, as a subset of healthcare data analytics, takes historical health-related data from multiple internal and external sources and visualizes it multidimensionally to generate insights. EHR/EMRs, labs, eHealth/mHealth apps and smart wearables, governmental agencies, accounting tools, and CRM platforms are among some of them. Data is saved, then analyzed, and finally reported. Cloud database development makes the process of healthcare data storage, data retrieval, and data analysis more efficient and secure. Using the information gained, it's possible to improve patient satisfaction and the financial performance of medical centers, clinics, hospitals, insurance vendors, research facilities, pharmaceutical companies, and data technology firms.

Dmitry Baraishuk • 14 min read

How does a Report Differ from a Dashboard in Healthcare

Synergy between dashboards and reports enhances healthcare analytics for better patient care. Dashboards provide real-time, visual summaries of key metrics and KPIs for immediate decision-making. On the other hand, reports delve deeper into analyzing trends and underlying causes to inform strategic planning. This article aims to explain how these tools complement each other, using examples, such as patient outcome monitoring and hospital resource management, to demonstrate their distinct yet interconnected roles.

Dzmitry Garbar • 7 min read

Business Intelligence Implementation

How to implement business intelligence like healthcare business intelligence? Business intelligence implementation is a set of activities that make a BI solution available for use in your organization. We have been providing BI implementation services since 2010. In this article, we talk about BI implementation steps you need to take to realize the full benefits of this technology.

Dmitry Baraishuk • 5 min read

Benefits of a Data Warehouse

You need a Business Intelligence Data Warehouse if you plan to implement a Business Intelligence (BI) solution to support your decision-making and improve your business processes. But DWH development is linked with additional expenses. Is it possible to save your money by implementing BI solution without DWH? What are the advantages of a data warehouse? Is there any visible business value of a data warehouse?

Dmitry Baraishuk • 7 min read

Business Analyst Role & Definition

A Business Analyst is one of the most important team members on both Waterfall and Agile projects. Software developers need structured, detailed, small, feasible, testable, and clear tasks. A Business Analyst writes requirements for developers in a way they actually need them.

Dzmitry Garbar • 3 min read

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