Staying updated with the latest developments is critical, especially when it comes to software development and data science. And one of the fastest and most enjoyable ways to keep learning is to attend events on new technologies and trends. Keeping … Read More
Big Data
Business Analytics tools & use cases
Today, businesses can collect data along every point of the customer journey. This information might include mobile app usage, digital clicks, interactions on social media and more, all contributing to a data fingerprint that is completely unique to its owner. … Read More
Data Driven development elements & benefits
Over 90% of data that exists today was created in the last two years. The digital economy has become more information intensive, and even traditional industries, such as oil, automobile manufacture and financial services, are becoming data driven. We are … Read More
Data architecture characteristics & principles
In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations. Data is usually one … Read More
Data as a service ( DaaS ) benefits & trends
Businesses across the globe highlight DaaS not only as a unique revenue channel but also a path to reshape the business world through competitive intelligence. Increasing importance of data and analytics is driving the importance of data as a service. … Read More
Proptech: the disruption of real estate
This year we hear a lot of Proptech, Fintech, InsurTech, Medtech, EduTech, etc. However, a lot of people are not sure about what these acronyms mean exactly and why they became buzzwords. Today we will talk about Proptech, but I … Read More
The Technology Landscape to know about
I decided to write an article about the technology landscape to know what to expect in the upcoming year. We live in a world where everything changes fast, so what I write now may be useless in 1 or 2 years, … Read More
Tips and tools for analysing big data
The key to efficient, integrous data analysis is a team-based intelligent analytical approach. This means coordination between departments and teams through the implementation of agile methodologies. As Apiumhub explains, agile means: “flexibility, adaptability, continuous improvement and rapid feedback.” This interactive … Read More
Big Data – application into sports industry
Last Tuesday 24th of October i had the chance to attend to the event that the people from Qlik put together for us in order to learn how the company works and some different case studies about application of big … Read More
The concept of Datafication; definition examples
Datafication is a buzzword of the last several years, that is used actively along Big Data industry. Honestly, if you would search the term ‘datafication’ on the internet you probably won’t find that much relative information about it, yet it … Read More
A few insights about Big Data
Quite a lot, we hear about Big Data but many people are still not sure of what it really is. As I believe it’s extremely powerful, I thought I could write an article about it, to get a better overview … Read More
How big data analytics impact your business’ success
Famous article on Forbes by Louis Columbus said that “51% of enterprises intend to invest more in big data”. Visionary leaders know how important information/data will be in the digital age. It is primordial to approach and analyze every customer to … Read More
