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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.

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.

Irene Mikhailouskaya (Makaranka)

Irene Mikhailouskaya (Makaranka)

Data Analytics Researcher, ScienceSoft

Alternative Approaches to Implementing Your Data Lake

Big Data

Data Analytics & BI

Alternative Approaches to Implementing Your Data Lake

We look at different approaches to data lake design and implementation and contemplate if there exists a preferred technology among the available stack.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

How Big Data Influences Your IoT Solution

Internet of Things

Big Data

Data Analytics & BI

How Big Data Influences Your IoT Solution

We look at the specifics of IoT big data, as well as describe what important things you should consider prior to designing and implementing IoT data storage and analysis.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

Dirty, clean or cleanish: what’s the quality of your big data?

Big Data

Data Analytics & BI

Dirty, clean or cleanish: what’s the quality of your big data?

When it comes to data quality, big data can be somewhat deceptive. See what exactly quality big data is, how you can get it and what cacao has to do with all this.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

Big data: a highway to hell or a stairway to heaven? Exploring big data problems

Big Data

Data Analytics & BI

Big data: a highway to hell or a stairway to heaven? Exploring big data problems

Unlike challenges, big data problems are conceptual and have a much deeper nature. What are they and do they have the power to threaten your business? Find out here.

Alex Grizhnevich

Alex Grizhnevich

Process Automation and IoT Consultant, ScienceSoft

IoT and Big Data: Challenges and Applications

Internet of Things

Data Analytics & BI

Big Data

IoT and Big Data: Challenges and Applications

IoT generates volumes of big data which can be applicable to achieve progress in a number of sectors. However, there are specific features in IoT big data collecting, processing and applying which need to be considered in IoT development.

Alex Bekker

Alex Bekker

Principal Architect, AI & Data Management Expert, ScienceSoft

4 retail trends supported by data analytics

Data Analytics & BI

4 retail trends supported by data analytics

To stay competitive, a retailer should monitor market trends. Here, we look at some promising initiatives and explain how data analytics can support them.