ality check and will eventually use this year to develop their next-decade strategy, as far as data is concerned.
First of all, AI, ML and the Internet of Things (IoT), and of course full process digitization will be a focus for companies. They see them as required capabilities, and therefore are willing to invest in more digital innovation. Read more
With the hit of the digital revolution, the outlook and the parameters of data science underwent a serious change. The world nowadays is creating more and more data which causes the need and the emergence of new technologies and roles in the field of data science. Read more
Big data is a term that refers to the large amounts of data that literally flood the business on a daily basis. You all must have heard of the phrase “information overflow” – data is literally flowing into business from various channels. Therefore it gets difficult to evaluate it and draw correct and productive conclusions. Read more
Data governance is a requirement in today’s highly competitive enterprise environment. It would actually be correct to say that data governance is not a matter of option. It is a must for every organization dealing with large amounts of data. The management, as well asthe proper usage of the information across an organization is what leads to success. Data governance ensures that the data is trusted, secure, compliant and easy to find within your organization. Read more
Data management is quite similar to managing one’s health. If you do not pay attention to your health, eventually you will get sick and if you continue neglecting it, then you will suffer from poor health. And this is quite hard to manage unless you are ready to make drastic changes in your lifestyle. Same applies to data – if you do not take care of your organization’s data, in the course of time minor problems will become so serious that a major surgery will be needed. That is to say: re-engineering of your organization’s entire data infrastructure. Read more
Over the last 20 years data has evolved a lot. And every organization is rethinking its data architecture. According to Gartner: “data architecture and technologies are rapidly shifting to become highly distributed”. A reason for this is the amount of data organizations nowadays have to manage. Read more
The increase in the adoption of business process management (BPM) and service-oriented architecture (SOA) has created a high demand for qualified professionals with a plethora of skills. The Business Process Analyst (BPA) role is quite interesting to many people and is definitely an excellent career to get into. Read more
As we all know, getting the best value of a company’s data is an underlying factor for the organization’s success. Generally, data analysis is defined as the process of inspecting, cleaning, evaluating and transforming data by means of analytical and statistical tools. And clearly, the objective of this process is discovering useful information which can improve business decision making.
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