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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.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

Business Intelligence & Analytics Examples, Insights, and Dashboards

Data Analytics & BI

Business Intelligence & Analytics Examples, Insights, and Dashboards

Explore business intelligence & analytics examples for the retail, healthcare, and real estate development industries. Grab the best ideas and be among the companies whose BI initiative brings an above-the-average ROI.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

3 Reasons to Drive Business Intelligence Adoption in Manufacturing

Data Analytics & BI

Manufacturing IT

3 Reasons to Drive Business Intelligence Adoption in Manufacturing

We describe the potential of business intelligence that the players in the manufacturing industry haven’t fully embraced yet.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

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.

Irene Mikhailouskaya (Makaranka)

Irene Mikhailouskaya (Makaranka)

Data Analytics Researcher, ScienceSoft

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.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

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.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

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.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

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.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

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.

Irene Mikhailouskaya (Makaranka)

Irene Mikhailouskaya (Makaranka)

Data Analytics Researcher, ScienceSoft

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.

Olga Baturina

Olga Baturina

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.

Irene Mikhailouskaya (Makaranka)

Irene Mikhailouskaya (Makaranka)

Data Analytics Researcher, ScienceSoft

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.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

Cassandra vs. HBase: twins or just strangers with similar looks?

Big Data

Data Analytics & BI

Cassandra vs. HBase: twins or just strangers with similar looks?

Similar at first glance, Cassandra and HBase actually are quite different in terms of architecture, performance and data models. What are these differences, and how do they influence the tasks that HBase and Cassandra perform? It’s all here.
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