Undoubtedly, one of the most critical roles in data management is the decision-making mechanism. The right decisions to be made at critical moments can turn a crisis into an important opportunity, as well as provide maximum benefit from a modest opportunity.

Decision Support Systems are interactive computer systems that enable you to complete the strategic decisions of your business world in the shortest time and in the most beneficial way, with the most accurate analysis. Day by day, institutions realize the importance of making decisions based on data and problems identified with current communication technologies, and they are in a race to integrate this into their way of doing business.

The decision-making position stands out as perhaps one of the most critical roles in the business world. Since it is the stage just before the collective effort of a company is put into practice, it is the final point on how to reach the goal. When decisions are based entirely on instinct and observation, the probability of the right outcome is largely left to chance. However, when it is rationalized in the light of science and technology, based on concrete facts, measurements made with modern methods, and data examined in detail, the percentage of success undoubtedly increases.

A study by IDC, one of the leading data analysis companies, in 2018 reveals the striking truth about this issue. Our age is described by many as the digital age/data age. Therefore, regardless of the sector, every company places data in its focus. However, according to IDC's research; It is stated that approximately 70% of these companies are faced with a great picture of failure, contrary to what is believed, due to their efforts to modernize their businesses with trillions of dollars in technological investments without creating a data culture to support their way of doing business.

Decision Making Processes

What Benefits Does Data and Decision Management Provide to Your Organization?

• It accelerates the solution process in the possible structural problems of the organizations and ensures the reinforcement of the institutional dominance.

• While stabilizing the administrative processes, it offers alternative methods to increase the speed of performance.

• It enables fluent communication between individuals.

• Accelerates solution processes with innovative perspectives it brings by going to the source of problems.

• While presenting new evidence to facilitate decision making, it opens the door to options that will make a difference against competing competitors.

Being data driven is managing a treasure correctly.

Data-driven decision making is often seen as a challenge. As Kafein, one of our core company missions is to make this process fluid and practical by offering contemporary and creative solutions. In our opinion, data is an important part of company capital and should be evaluated accordingly. Based on this, we adopt an approach that meticulously analyzes how solution-oriented approaches should be handled and which points need revision in their functioning.

In the data-based decision-making process, you should start your journey with Kafein, because…

1. First, we assimilate the goals: What is your organization primarily aiming for when starting this journey? Besides the primary goals, what are the other KPIs (key performance indicators) to be achieved? In order to support your business goals, we listen to your goals in detail at the beginning of the road, choose and clarify all the questions that need to be asked correctly, reach the right answers, and thus determine the data to be analyzed correctly. We carry out the aforementioned work in detail at the beginning of the road so that you can reach your business goals and even more.

2. Then we examine and compile the necessary data: Give priority to data sources with large audiences, revealing sources with high impact and intelligibility. We aim to create a benefit that manifests itself as soon as possible.

3. We do not overlook the subtleties and details: We complete the circle by revealing insights that were overlooked in fundamental analysis.