Alex Bekker
Principal Architect, AI & Data Management Expert, ScienceSoft
Challenges You’ll Face While Building Up Your Data Analytics Team
To grow and structure an in-house data analytics team is not always a safe choice. Our Head of Analytics Department shares an example of a typical company that chooses this option, as well as 3 main challenges that they are likely to face in the process.
Irene Mikhailouskaya (Makaranka)
Data Analytics Researcher, ScienceSoft
Data Analytics & BI
Enterprises
Does ERP Contain Enough Data for Business Intelligence?
Our BI implementation team describes the components of our proprietary BI framework and explains whether ERP data is enough to get valuable insights within each of them.
Alex Bekker
Principal Architect, AI & Data Management Expert, ScienceSoft
Business Intelligence Framework That Brings Informed Decision-Making on Board
Explore a framework for business analytics we have developed to help businesses approach their BI strategically and make informed decisions.
Alex Bekker
Principal Architect, AI & Data Management Expert, ScienceSoft
The Bright and the Dark Sides of Operational Business Intelligence
Our BI implementation team dwells on the evolvement of operational BI, considers the advantages that it brings in real-life projects, as well as the hurdles that can spoil its implementation.
Alex Bekker
Principal Architect, AI & Data Management Expert, ScienceSoft
Business Intelligence Best Practices and Where to Find Them
Alex Bekker talks about true and superficial best practices in business intelligence and recommends the information sources that describe the practices helpful for real-life projects.
Irene Mikhailouskaya (Makaranka)
Data Analytics Researcher, ScienceSoft
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.
Alex Bekker
Principal Architect, AI & Data Management Expert, ScienceSoft
Data Analytics & BI
Artificial Intelligence
5 Types of AI to Propel Your Business
Explore five different types of artificial intelligence (AI) – analytic, interactive, text, visual and functional – and get inspired by real-life business examples of AI in action.
Data Analytics & BI
Big Data
40 Stats and Real-Life Examples of How Companies Use Big Data
We conducted secondary research, which serves as a comprehensive overview of how companies use big data. Here, you’ll find the big data facts and statistics arranged by organization size, industry and technology. You’ll also discover real-life examples and the value that big data can bring.
Irene Mikhailouskaya (Makaranka)
Data Analytics Researcher, ScienceSoft
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.
Software Development
Artificial Intelligence
Customer Service
How AI-powered chatbots transform customer service management
With significant effects on multiple aspects of the businesses, chatbots have changed the way processes are carried out. This article describes what benefits they can bring to customer service management.
Boris Shiklo
Chief Technology Officer, ScienceSoft
Internet of Things
Artificial Intelligence
Al-Based Technologies for Fighting Environmental Issues
We explore how AI and IoT contribute to a healthier environment.
Information Security
Artificial Intelligence
The Threats Artificial Intelligence Poses to Cybersecurity
Check what security concerns artificial intelligence raises nowadays and why you should take great care and take preventive actions before hackers do any serious harm.
ScienceSoft Global
Healthcare
Finance
