Data Analytics Blog

Welcome to our Data Analytics blog intended for CIOs, IT managers and analysts! Stay tuned to find the articles that cover a wide variety of topics in data analysis: predictive, prescriptive analytics and machine learning are just a few examples. You shouldn’t be code-savvy, as our blog is business-oriented.

If you are a blogger yourself, we kindly invite you to contribute your data analytics articles. Find more details on how to proceed here.

Does Your Business Need Data Analytics Outsourcing?

We explore data analytics outsourcing – outline the service, look at the advantages that it can bring to businesses, as well as explore the aspects that usually raise concerns.

The Bright and the Dark Sides of Operational Business Intelligence in 2019

Our BI implementation team dwells on the evolvement of operational BI in 2019, considers the advantages that it brings in real-life projects, as well as the hurdles that can spoil its implementation.

Business Intelligence Best Practices and Where to Find Them

Alex Bekker, Head of Data Analytics Department at ScienceSoft, talks about true and superficial best practices in business intelligence and recommends the information sources that describe the practices helpful for real-life projects.

Business Intelligence Implementation: 5 Key Questions Answered

We share information useful for companies contemplating BI implementation: required investments and expected payback period, main advantages and typical problems, contractual and collaboration tips.

Is Big Data Any Good for Manufacturing? Drumroll, Please

As a manufacturer, you’re interested to see what big data can do for you? Then check out these 12 real-life use cases for big data in manufacturing and see a nice and easy guide on how to start your big data action.

4 Types of Data Analytics to Improve Decision-Making

Learn about different types of data analytics and find out which one suits your business needs best: descriptive, diagnostic, predictive or prescriptive.

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.

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.

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 facts arranged by organization size, industry and technology. You’ll also discover real-life examples and the value that big data can bring.

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.