17 November 2023 Today, software tools are shaping the future of research. New software tools and approaches provide us with sustainability and convenience...
Today, software tools are shaping the future of research. New software tools and approaches not only offer sustainability and convenience, but also help achieve desired outcomes more quickly, more effectively, and at lower cost.
These tools can be powerful assets in research, supporting a wide range of tasks, For instance, we also consider websites, data collection from applications, data uploading, data integrations and automations, data cleansing, or data processing as software tools.
If we look at where else software tools might appear:
Research tools can be used to verify data, conduct analysis, and test hypotheses. Technologies such as natural language processing, artificial intelligence (AI) models, software notebooks (Jupyter), machine learning, and segmentation techniques are some examples of software supported analyses.
We also need software tools and methods to present the research results. Data visualisation techniques and dashboards are highly effective decision support systems for disseminating research findings to a wide audience. Ultimately, it should not be forgotten that the infrastructure used in research is essentially software..
In research, numerous software tools and configurations must be designed according to the specific needs of each project Let us examine an example of software tools used throughout the research process.
Let us imagine that a survey is being conducted using a digital interviewer (Intelligent IVR) method. Customer data is collected through data integration and automatically uploaded to existing systems, enabling the survey to be sent.
At this stage, the digital interviewer is prepared for the relevant research using text-to-speech technology and conducts the survey with the target customer group. The collected results are gathered, undergo quality control, and the open-ended questions are compiled using speech-to-text conversion before being forwarded to the next stage.
In the analysis of survey results, open-ended questions are interpreted using an AI-based machine learning method. The results, analysed and interpreted using statistical software tools, are again transferred to dashboards through data integration.
As you can see in this example, each step we take is based on new software tools and approaches. Companies that keep up with the latest technologies and use them in their business models will stand out in the industry by making more accurate and faster decisions.
We keep track of all these technologies for you, design the process together, and provide you with an advantage.