Process Implementation

Quantify

One of the strongest tools you should have in your arsenal is quantifiable data. Being able to offer easy to understand, number driven data to support a claim will go a long way promote the change you hope to implement. Quantitative data can include sales numbers, customer visit, units produced, or any data that can be analyzed and represents an honest depiction of what is, or is not, happening in your process or product. The biggest advantage of this type of data is it's fact driven. Emotion, opinion, and bias are excluded when data becomes quantifiable.

While qualitative data is useful, quantitative will better help support your case in a change averse environment. That said, It's not uncommon for an analyst will gather both types of data, often at the same time.

One and the same data-collection method can usually be used to collect both qualitative and quantitative data. For example, questionnaires can contain both open-ended questions and numerical scales and questions in interviews can concern both numerical aspects (e.g., frequency of visits to the health care center) and qualitative aspects (e.g., how an informant felt when receiving the news that his or her operation had been delayed for three weeks).6 Of course, numbers are quantitative in the elementary default sense of quantitative noted above, but it is also worth considering that numbers are representations of content and that they in this respect can be seen as having a qualitative aspect. Thus, data-collection methods are for various reasons usually not clearly quantitative or qualitative.

Carl Martin Allwood (2012) The distinction between qualitative and quantitative research methods is problematic, Quality & Quantity, August 2012, Volume 46, Issue 5, Page 1422

Quantifiably data also easily translate into visual representations of the message you wish to convey to your audience. The adage, a picture is worth a million words, is never so true as with a business chart of graph. There is no better way to capture trends in processes or data which can detail a problem and solution over time.