Coding qualitative data is a specialised job that requires skills in data comprehension, theme development, identifying commonalities and contrasting ideas, and data structuring to give it meaning and interpretation. 

We provide high-quality data coding services for qualitative data using NVivo software. All you need is either a recording, which you can send us for transcription first and then data coding, or you can provide us the transcripts and we can do the data coding using NVivo software. You can interpret and deduce results once you have the coded files.

Our professional qualitative data coding services will help you save time and bring quality to your work.

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Qualitative data coding - Important points explained

1. What is qualitative data?

Generally, non-numerical data are referred to as "qualitative data" (though some variations exist in what is strictly considered to be qualitative data). This type of data typically refers to words and text, including spoken words (sometimes numbers can also be considered qualitative data). Textual information can occur in a variety of formats, including transcripts, observational notes, journal entries, internal documentation, documents available on the World Wide Web, etc.

2. What is coding in qualitative research?

Coding refers to the process of organising and labelling qualitative data in order to identify various recurrent themes and the connections among them. It involves identifying words or phrases that represent significant (and recurrent) themes in each response or data element. This process of thematic analysis is at the core of qualitative data coding (or coding in qualitative research), as it allows grouping and structuring ideas and uncovering patterns to provide meaning to the qualitative data.

3. Why is it important to code qualitative data?

The interpretation and understanding of the meaning of qualitative data become easier when it is coded. By assigning codes to words and phrases, the researcher can understand the patterns in the data and be able to develop a structure and summarise the data for drawing conclusions. Coding qualitative data is therefore important as it allows for data-driven decisions. The process also entails transparency and repeatability, which enhance the reliability and validity of findings. Identifying commonalities and contrasts in ideas helps unravel new information, resulting in the creation of new knowledge.

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1) Project management is a well-architected, deliberate approach with well-defined moves and routines to accomplish the set objectives. This could mean that the basic role of project management is to reduce disorder or uncertainty within the system, in this case, a project organization. Or, in other words, reducing entropy within the project organization.
However, given that project fail and face so many problems, the question is: do the projects fail because project management as a holistic approach is unable to reduce or control the entropy of the system?
In the blog titled titled "Entropy and Project Management ", the author attempts to answer that.  Read more .... to get to know more about entropy and its role in project management.

2) Project Management as-a-Service (PMaaS) is an emerging concept and is seen as a shift in thinking and mindset in how project management can be used. It is touted as a new business model in line with a series of on-demand cloud based service offerings such as Infrastructure as-a-Service (IaaS), Platform as-a-Service (PaaS), Desktop as-a-Service (DaaS) to name a few.
Apparently, PMaaS is a suite of cloud-based solutions that allow project planning, assist in project execution, monitoring and control.
For the purpose of developing an understanding, we define PMaaS as an approach to improve the effectiveness of project management within an organization by integrating internal capabilities with expertise and technological solutions of external service providers for demand driven resource procurement, utilization and management; real-time project monitoring and on-demand troubleshooting of issues and known risks throughout the project life-cycle. The question remains, whether PMaaS has any practical utility?
In a blog post titled "Project Management as-a-service (PMaaS): Time to think from within the box ", the author attempts to answer that.  Read more .... to get to know more about PMaaS and its role in project management.

3) Project governance is a mechanism to set objectives, exercise control, and establish a framework for decision-making, authority and compliance. Projects being temporary structures raises the question of whether governance in projects is a matter of strategy or just an operational routine activity.
From a practical standpoint, project governance should be construed as a composition of two key aspects: (a) aligning projects with strategy and (b) setting up of the structure of projects. As the PM maturity of organizations varies, it presents challenges to use such an approach. The situation necessitates further discussion about how do we make the utility of project governance simple and more applicable for organizations with little to no expertise and foundation in adopting this approach.
In a blog post titled "Project Governance", the author attempts to examine that.  Read more .... to get to know more about Project Governance and its role in project management.

4) The launch of ChatGPT has created a buzz and a sense of interest among various sections of society with heightened curiosity about its utility and implications. Expectations are that the applications of ChatGPT will be diverse and for all sorts of things.
It opens up opportunities to explore the utility of ChatGPT for project management as well. Some of the potential avenues are knowledge augmentation, problem resolutions (where possible by gaining clarity and answers to some questions), sparking creative thoughts, and learning from human-machine interaction for developing this relationship further to improve project efficiencies.
In a blog post titled "ChatPGT, NLP and Project Management", the author attempts to examine use of ChatGPT, NLP and artificial intelligence (AI) in project management.  Read more .... to get to know more about use of NLP and AI in project management.