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Data Analytics Blog

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

Stay tuned to find the articles that are supported by our experience in data analytics services. Here, you will find 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.

Challenges You’ll Face While Building Up Your Data Analytics Team

Data Analytics & BI

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.

Does ERP Contain Enough Data for Business Intelligence?

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.

By Irene Mikhailouskaya (Makaranka)

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.

3 Approaches to Business Intelligence as a Service

Data Analytics & BI

3 Approaches to Business Intelligence as a Service

To show business intelligence as a service from different angles, we consider 3 approaches: when it relies on internal data, on external data, and when a hybrid approach is used.

By Irene Mikhailouskaya (Makaranka)

Business Intelligence Framework That Brings Informed Decision-Making on Board

Data Analytics & BI

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.

Does Your Business Need Data Analytics Outsourcing?

Data Analytics & BI

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.

By Irene Mikhailouskaya (Makaranka)

The Bright and the Dark Sides of Operational Business Intelligence

Data Analytics & BI

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.

Business Intelligence Best Practices and Where to Find Them

Data Analytics & BI

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.

Big Data in Manufacturing: Use Cases + Guide on How To Start

Big Data, Data Analytics & BI, Manufacturing IT

Big Data in Manufacturing: Use Cases + Guide on How To Start

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

5 Types of AI to Propel Your Business

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.

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.

By Irene Mikhailouskaya (Makaranka)

40 Stats and Real-Life Examples of How Companies Use Big Data

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.

By Olga Baturina