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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.

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.
By Alex Bekker
Business Intelligence and Data Analytics: Making Use of the Alliance
Data Analytics & BI

Business Intelligence and Data Analytics: Making Use of the Alliance

You have a BI solution implemented, but still check recent BI trends? Wisely done! We suggest you consider data analytics trends as well. This gives you a great chance to empower your solution.
By Alex Bekker
Big Data Visualization: Value It Brings and Techniques It Requires
Data Analytics & BI, Big Data

Big Data Visualization: Value It Brings and Techniques It Requires

Explore the value of big data visualization and learn what visualization techniques big data requires: habitual pie charts and line graphs or something special?
By Alex Bekker
Big Data: Examples, Sources and Technologies explained
Big Data, Data Analytics & BI

Big Data: Examples, Sources and Technologies explained

While defining big data, we share multi-industry examples of its practical application, list its internal and external sources, as well as name most popular big data technologies.
By Alex Bekker
How Banks Can Boost Cross-Selling: The Ultimate Guide
Banking IT, CRM, Data Analytics & BI, Finance IT

How Banks Can Boost Cross-Selling: The Ultimate Guide

We explore how a central CRM system, mobile banking app and analytics software can help banks to succeed in cross-selling.
By Karina Dalhunova
Spark vs. Hadoop MapReduce: Which big data framework to choose
Big Data, Data Analytics & BI

Spark vs. Hadoop MapReduce: Which big data framework to choose

Hadoop MapReduce or Apache Spark? We explore two leading big data frameworks to understand the business needs each of them can satisfy.
By Alex Bekker
Banks need emotion recognition software to increase customer loyalty
Banking IT, Data Analytics & BI, Image Analysis, Finance IT

Banks need emotion recognition software to increase customer loyalty

Banking software consultants advice using text, voice and image analysis software to interpret customers’ emotions and boost customer loyalty.
By Natallia Babrovich
4 Types of Data Analytics to Improve Decision-Making
Data Analytics & BI

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.
By Alex Bekker
How to translate a corporate strategy into KPIs
Data Analytics & BI

How to translate a corporate strategy into KPIs

Without the right KPIs, it’s impossible to execute even a brilliant strategy. Explore why KPIs are important and how BI helps in strategic management.
By Alex Bekker
Cash flow analysis: How BI technology can help
Data Analytics & BI

Cash flow analysis: How BI technology can help

If a cash flow analysis is inefficient because of excessive manual work, it’s time to consider adopting a tech solution from BI consulting practitioners.
By Alex Bekker
Decision-making Apps to Help You Decrease Noise and Bias
Mobile Apps, Data Analytics & BI

Decision-making Apps to Help You Decrease Noise and Bias

Although noise and bias in decision-making can’t be avoided completely, they can be effectively minimized with the help of mobile apps.
By Anastasia Yaskevich
Patient engagement analytics: It’s measurable!
Healthcare IT, Data Analytics & BI

Patient engagement analytics: It’s measurable!

We show the way into transforming abstract patient engagement concept into a measurable value unlocking multiple opportunities for healthcare providers.
By Lola Koktysh