# Conceptual Framework for Implementing Temporal Big Data Analytics in Companies
## Appendix A
The one that would be created as a result of using the proposed framework._  
Even if the proposed solution is at the conceptual level, it is always created for use in practice. Therefore, it was important to get to know the opinions of the focus participants on the practical use of the proposed framework and the TBDA ecosystem created with it. _\"It all depends on what details we put in there.\"_  
_\"As for the use of the framework in practice: it all depends on the technological stack with which we deal in a given company, whether the company has a data warehouse, does it have ETL systems, whether it should all be built from scratch, is it worth the game at all, and that it should also come out in the first phase of the framework.\"_  
_\"The model is quite general and only going down to a more detailed level will give us an answer about its usefulness in practice. You have to try to implement this approach. It seems to me that the methods you proposed there are adequate for building this type of systems related to data analysis, it is quite well specified for this type of systems. Will it be applicable in practice (ecosystem)--you have to do a proof-of-concept and then these lower-level details will come out. Without these details, we only forecast a little how it will be in practice. It seems that it is OK, of course the matter of promoting the solution and marketing remains.\"_  
Again, from the theoretical and conceptual point of view, the proposed framework has been highly rated. Again, the question of its practical implementation has been pointed out. It should be noted that managers, on par with academics, anticipate the practical usefulness of the presented solution, but the next step must undoubtedly be an attempt to implement it in business, at least at the proof-of-concept level. _Outcome 6a: Strengths of the proposed framework_  
Question: _What are the advantages of the proposed framework?_  
The next question was about what advantages of the proposed framework were perceived by the focus participants. The answers turned out to be extremely interesting. _\"The most important advantage is that it was made.\"_  
_\"The most important advantage of this framework is that one has to think about TBDA and that the study goes that way.\"_  
_\"The great advantage is that thanks to this framework we know how to work, what to stick to, thanks to such framework we are able to make the project coherent and carry it out efficiently.\"_\"The biggest advantage of the framework is considering the temporal aspect, from which the advantages of the temporal approach itself, i.e., causal sequences, enable more precise determination of long-term development strategies of the enterprise.\"_  
It seems that the greatest advantage of the proposed framework is its focus on the temporal dimension, as the panelists pointed out. They concluded that the framework constructed in this way forces its users to pay attention to the time dimension in big data analytics. This is in line with the earlier statements of the debaters who, with great appreciation, adopted the basic assumption of the framework, which is to recognize the time dimension as the basic one for BDA. Participants reiterated the framework's consistency. Outcome 6b: Weaknesses of the proposed framework  
Question: Do you see any weaknesses of the proposed framework? An important issue was whether the participants saw any weaknesses or flaws in the framework they praised. \"It is difficult to talk about disadvantages because these disadvantages will probably come out when going down to these lower levels of detail.