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Data Science Blog

Welcome to our Data Science blog for CIOs, IT managers, and analysts!

Here, we talk business value. As a provider of data science consulting services, we unpack complex topics in a clear, practical way, focusing on how data science helps you turn data into measurable outcomes, from smarter decisions to new revenue opportunities. Here, you’ll find insights on AI and machine learning, big data analytics, and predictive modeling, along with real-world use cases and implementation best practices.

Bookmark this page and stay tuned for actionable data science ideas!

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

9 Microsoft Certifications in Business Intelligence and Data Science

Data Analytics & BI

Data Science

9 Microsoft Certifications in Business Intelligence and Data Science

Explore Microsoft certifications in business intelligence and data science. Learn how to verify data analytics/big data/machine learning skills, as well as prove the mastery of Microsoft tools, such as Azure, Power BI or SQL Server.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

2 Types of Data Scientists: 2 Sides of the Same Coin

Data Analytics & BI

Data Science

2 Types of Data Scientists: 2 Sides of the Same Coin

Explore 2 types of data scientists – analysts and technicians, and define which one your business needs.

Irene Mikhailouskaya (Makaranka)

Irene Mikhailouskaya (Makaranka)

Data Analytics Researcher

Hiring Data Scientists: What and Where to Look For and How to Assess

Data Analytics & BI

Data Science

Hiring Data Scientists: What and Where to Look For and How to Assess

We answer 3 burning questions about hiring data scientists. Give a minute to each and become a pro in hunting for data science talent.

Irene Mikhailouskaya (Makaranka)

Irene Mikhailouskaya (Makaranka)

Data Analytics Researcher

Supplier Risk Assessment: Now Empowered with Data Science

Data Analytics & BI

Data Science

Supplier Risk Assessment: Now Empowered with Data Science

Data science with its deep learning algorithms allows for data-driven assessment of supplier risks. Is this approach good enough to undermine the position of a traditional one? Let’s explore how it works and what its advantages and limitations are.

Irene Mikhailouskaya (Makaranka)

Irene Mikhailouskaya (Makaranka)

Data Analytics Researcher

Demand Forecasting Using Traditional and Contemporary Data Science

Data Analytics & BI

Data Science

Demand Forecasting Using Traditional and Contemporary Data Science

Dissatisfied with your demand forecasts? Instead of giving up on them completely, try reconsidering the methods you use. Here, we describe the approaches that will definitely work: traditional and contemporary data science.