Running a business without a base analytics is quite difficult, which is the reason it is worth paying attention to such important aspect. Business analytics consists of different tools, technologies and actions that are used to process the obtained data.
The credibility of the source should also be taken into account, because this is the only way to make correct predictions and decisions. Building a marketing strategy is based on the results of research, so do not underestimate the importance of the direction of your business.
Additionally, it is worth noting that business analytics is not just about simple data processing. Further information processes should also be included in this area:
It is impossible to achieve the desired result without the use of specific tools. For this reason, more and more companies decide to delegate part of the work to external specialists. Thanks to this solution, it is possible to save personal resources and increase the efficiency.
Outsourcing of business analytics in Ukraine
Ukrainian companies didn’t immediately manage to create a reputation as reliable partners, because for a long time data science was ignored in educational institutions. Today, the situation has significantly changed, so graduates can compete with other professionals on this field.
Now in Ukraine, there are faculties, which are engaged in education in the sphere of business analytics. The curricula are pleasingly diverse because they include:
- applied statistics;
- probabilistic analysis;
- artificial neural networks;
- data engineering.
Thanks to the new approach to the study of data science, it is possible to say that data science outsourcing in Ukraine has its own place. Professionals of data science outsourcing, who are trained in programs developed in conjunction with well-known organizations, are quickly becoming in demand abroad. This is the best proof of the trust placed in them.
How to choose a business analytics professional
The search for a specialist capable for important tasks begins with defining the scope of the responsibilities. When a company needs to process a huge amount of data, it is needed to look for a professional who has worked with popular tools, such as Hadoop, AWS Kinesis, Hive.
A special attention is given to the learned skills, which include:
- data warehouse engineering;
- knowledge of common programming languages;
- ability to work with local and cloud-based tools;
- converting reports into analyses;
- information processing with encryption.
The choice of the outsourcing company is also influenced by the number of used tools. The more software the team has in its portfolio, the higher the probability that all the tasks will be performed correctly. A not less important factor is the ability to propose a personalized approach.
The search for a third-party organization should not be done in a hurry, because the result depends on it. Studying the reviews about the works made by an organization will be an additional guarantee that the outcome of the work will meet your requirements. The ability to do not only process, but also store big data is a significant advantage of Data Science UA.