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.

How To Get the Big Win with Retail Business Intelligence

Explore how data analytics and business intelligence can be beneficial for the retail industry.

How To Benefit from Big Data Analytics in the Oil and Gas Industry?

Get an insight into the big data potential in the oil and gas industry and see how to drive profit by using predictive analytics.

Data Warehouse Design: How To Structure Your Data Assets

Explore what architectural approaches are employed to design a data warehouse and choose what DWH structure is beneficial for your business.

How to Develop an Effective Business Intelligence Strategy?

Study the potential value to target with a BI solution and a roadmap to develop your effective business intelligence strategy.

How to Build a Data Warehouse from Scratch?

Explore our step-by-step guide on how to build a data warehouse avoiding possible risks.

Trends on the Data Warehouse Implementation Market

Explore the benefits your company can obtain by following 2020 market trends for implementing a data warehouse.

2 Types of Data Scientists: 2 Sides of the Same Coin

Explore 2 types of data scientists – analysts and technicians, and define which one your business needs.

Small Business Gets Big Data Benefits with 3 Data Sources

Find out what data sources your small business can use to benefit from the powers of big data analytics.

5 Benefits a Company Gets with Business Intelligence On Board

Explore 5 important benefits of a BI solution and see how a company can make good use of them.

Customer Churn Analysis for Revenue Increase

Explore the valuable benefits of customer churn analysis and study how to calculate customer attrition.