# Conceptual Framework for Implementing Temporal Big Data Analytics in Companies
## 3 Requirements for Effective Implementation of TBDA in Companies  
As pointed out in Section 1, time should be the main analytical dimension if a company is to achieve a sustainable competitive advantage in today's turbulent environment. The temporal analytics should be in line with all business processes in the company. Hence, companies in their analytical efforts also must consider:  
* The dynamics of the business environment;
* The customers and their dominant role in the business environment;* The need for innovations;
* The new sources of data, information, and knowledge. These four elements, together with time, form the basis for the formulation of the requirements to be met by a TBDA implementation framework. The main requirement is that the framework has to combine technological issues with the business activities of a company, thus forming an ecosystem of TBDA analytics. Next, the framework should make use of the company's cooperation skills, customer orientation, and the ability to dynamically adapt actions to situational changes [69; 70]. In addition, [PERSON] et al. [11] point out that the BDA process is effective only if resources are coordinated and allocated in real time, and the company's culture, management, and all stakeholders are involved. This is made possible by several factors, including a robust platform supporting multiple data sources, an IT infrastructure, employee involvement and cooperation skills, an organizational culture, management involvement, and involvement of all stakeholders. Other factors affecting the efficient implementation of the TBDA in companies are [21]:  
* The presence of knowledge management systems and processes to constantly ingest new ideas, information, data, and knowledge;
* The analytical performance measurement system, ensuring monitoring and evaluation of activities, analyses, and their impact on company activities;
* Effective systems for disseminating big data analytics results within the company;
* A suitably adaptive organizational culture that encourages the use of new data sources extensively. The dynamics of the environment and the temporality of the planned big data analyses result in the need for the TBDA implementation framework's flexibility. In this article, it is proposed that this is achieved by adapting and using the lean and agile concepts as pointed out in Section 1 and discussed in Section 4. Summing up the above-mentioned considerations, the implementation framework for temporal BDA should (cf. [71]):  
* Center on the outcomes; the focus must be on the requirements and goals of the temporal BDA;
* Be founded on ideas derived from lean and agile approaches;
* Consider the company's maturity to the implementation of temporal BDA;
* Be organized, displaying a clear vision of the steps to be followed to produce measurably effective outcomes;
* Make it easier to make choices about which analytical approaches to pursue and when to launch implementation efforts;
* Communicate: allowing clear communication about the BDA implementation process and analytical maturity at all levels of the company, as well as encouraging employees at all levels to interact and engage in temporal BDA;
* Enable employees' engagement given their significance in the process of implementing changes and their role as the business user in the big data analysis cycle (cf. [28]). Among these, the link between the implementation framework and the company's analytical maturity is crucial. The actions made to successfully implement temporal BDA cannot be left in limbo. Understanding the company's analytical maturity allows for the creation of a comprehensive strategy for moving from the present to the desired state through a series of well-thought-out activities. Therefore, the appropriate big data maturity model should be the point of the TBDA implementation framework. As indicated in Section 1, the existing maturity models for BD do not take the time dimension into account, with the exception of the author's TBDMM where time is the primary dimension [8].