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represents each stakeholder s asset value estimates; you can perform certain analyses on this data You also have notes that reflect that person s feelings and thoughts about how they came up with their numbers This is qualitative data If you recorded your interview, the video, audio, and transcripts would also be qualitative data Analysis of qualitative data is very different than quantitative analysis, as the data is messier, more complex, and requires more interpretation IT security often mistakes the actual qualitative data, in the form of documents and recordings, with what the data represents in terms of people s opinions, statements, and actions In the preceding risk assessment example, the score given by those interviewed is less interesting than the discussion of how they arrived at that score, from a qualitative perspective Qualitative measurement is about analyzing how people think, feel, and act, not just the record of what they say Security risk assessments may produce a rich body of data in the form of meetings, discussions, arguments, and even people changing their minds But all this qualitative data is then glossed over and only the end result, the final risk estimate, is considered data This gets confusing, because most qualitative risk assessments then assign numbers to these scores, most often ratings on an ordinal scale, which are then subjected to attempts at statistical calculations such as counting, averaging, and multiplication across risk scores The result, as I ve pointed out, is a misunderstood hybrid of analysis techniques that is misleading and imprecise Only a tiny fraction of the data, and not even the interesting stuff, gets analyzed When it turns out to be inaccurate, we distance ourselves from the result by slapping the qualitative label on the analysis which, like fine print, then absolves us of most accountability because the data was never based on reality to begin with All the data that could have helped us understand why our logic was faulty in the first place, all the discussions and debates and rich interaction, were thrown on the scrap heap before our analysis even got started Qualitative data is more difficult to pin down and assess Quantitative data is pretty simple: it involves quantities of something That naturally means units of measurement and numbers of units Qualitative data, on the other hand, deals with human action, activity, and psychology That s a big bucket of possibilities It is no wonder that many hard science types such as physicists, chemists, and computer scientists (or IT engineers) have a difficult time taking qualitative approaches seriously How can you rigorously deconstruct the world if everything (including what people feel or believe) is part of the equation (or, worse, if there is no equation ) The good news is that qualitative data types can be defined, though not as specifically as would make the quantitative types completely comfortable A key aspect of qualitative data is that it involves people, at individual and group levels The activities, behaviors, norms, and social interactions of people are the bread and butter of qualitative research, and qualitative data involves observing and exploring these characteristics And as security continues to gain visibility elsewhere in the organization, and to impact non-technical outcomes, questions of human psychology and messy social relations will play a greater part in IT security operations Applying false mathematical principles to data and trying to simplify away complex systems with narrow, quantitative performance indicators hurts rather than helps security metrics and operations.



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Try this : GitHub - pvginkel/PdfiumViewer: PDF viewer based on Google's PDFium.[^].

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19 Sep 2018 ... In this article I will explain with an example, how to implement PDF Viewer in ASP . Net by embedding PDF file on Web Page using C# and VB.

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revenue projections and fixed budget targets The linking mechanism to bridge to departmental plans and business initiatives is the business plan document It contains specific information regarding annual goals for revenue, profitability, etc, that can be used to complete detailed action plans A large manufacturing company developed a training program for managers called Know the Numbers in which all departmental managers where trained on the Profit and Loss Statement, including what was measured and how they could impact bottom-line numbers for their departments and overall company performance One of the objectives of the training program was to create the mindset that managers were using the financial resources of the company as if they were writing checks from their personal checking accounts Business planning An annual process designed to complete a one-year busiKEY TERM ness plan that links to the strategies established by top management

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8 Jun 2011 ... How to Open pdf file in C# , How to show pdf file in C Sharp, We can use ... Start C# Windows application and add the 'Adobe PDF Reader' ...

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Furthermore, as more security professionals and stakeholders come to the industry from softer backgrounds, the inclusion of qualitative measures will become more common and more valuable to your efforts Data from Observations Remember that empirical data is based on direct observation Qualitative data can be highly empirical Consider the field of anthropology, for example, in which researchers study entire cultures in order to understand them The techniques of direct observation are known as ethnography, and these studies are accomplished by direct observations of the culture under study, by specially trained experts who go and live among its members (or in some cases observe from a distance) By observing and meticulously documenting various aspects of the culture, data is obtained that contributes to understanding Qualitative data of this kind may include written research notes, photographs and drawings, video or audio recordings, and transcriptions of such data Data from Responses Response data comes from interviews and interactions with people as individuals and as groups This type of qualitative data is in the form of records of these interactions, with one person asking questions that are answered by others The data is still empirical, based on direct observation of the interviewees responses, but response data tends to be more structured and specific than ethnographic observations, although interviews may also be a part of such a study Interview data also reflects an attempt by those measuring the responses to drill down and explore areas of interest to the measurement project, including the thoughts, speculations, and stories provided by those being interviewed These responses are encouraged and can be used to guide the interview into new areas of interest Response data, like observational data, can take the form of transcriptions of recorded interviews, interviewer notes, and video and audio recordings In some qualitative settings such as academia or market research, it is more acceptable and easier to record the entire interaction In other business settings, such as IT security, interviewees may be uncomfortable with being recorded, especially if they have not volunteered but rather are participating in an assessment or audit In these situations, the notes taken by the interviewer may be the only record of the interaction It is critical that the interviewer be well trained, capable, and equipped with appropriate interview techniques and templates to facilitate the capture of the data Knowing who to ask is also key, as choosing the proper people to interview or observe can mean the difference between measuring what you think you are measuring and measuring the wrong things Data from Records and Artifacts The third type of qualitative data comprises information produced by our activities Written documents and texts are common examples of qualitative data, from books and periodicals, to policy documents and corporate reports, to HTML pages and source code This type of data reflects what you are measuring or observing If you are observing herder activities on a botnet command and control net, for instance, the logs of those activities could be considered direct observational data, even though they are texts The same goes for the notes on the interview you conduct with a bot herder you met online for the project, which are considered interview data.

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Jan 13, 2017 · Making PDF Viewer in C#.net using Adobe Reader dll file.Duration: 6:54 Posted: Jan 13, 2017

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Use PDF Viewer for Windows Forms in C#.NET Applications
How to add PDF Viewer control for Windows Forms to your C#.NET Applications.












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