How Do I improve Sales Analytical Skills?

By being focused & determined with an approach of a broader clear view of the entire project/product sale . So, we can achieve the desired result of sales . Targets should be achievable & realistic .

- Always look at whole picture

- Give attention to all details

- Practice on finding the logic between events, figure, ideas, ... everything

- Seek feedback from seniors

 

Observe.

Analyze.

Think outside the box.

Try new and classic different ways.

Improving your analytical skills will help you: Apply techniques to information to help determine what is relevant Put information into a form that can be analyzed Analyze information in order to identify the “best” opportunity for your business, and explain your reasoning Recognize patterns, and discern what they can mean for your business Identify a framework as the basis for creating presentations that use information you’ve derived from your analysis What is Analysis? We are flooded with information and new knowledge on a daily basis. Assimilating, organizing, and analyzing it is crucial for strategic planning and decision making. Analysis starts with identifying the right question to answer. Determining the essential information for your audience is imperative to forming conclusions and recommendations and then explaining what the analysis revealed. By stating a main idea and summarizing key points we create a successful analysis that focuses on solutions, strategies, and recommendations for success. The foundation of making data work for you is an understanding of key concepts in the analytical process. Analysis is the ability to visualize and articulate concepts based on available information, whether this information is written, verbal, or presented in a media source like videos or pictures. It involves skills like synthesizing, discerning patterns, and distinguishing important information from less important information. The core of analysis is evidence. It helps you to understand a question, problem, or situation; evidence supports your conclusions. Analysis deals with seeing patterns and drawing conclusions from both quantitative and qualitative data. Quantitative vs. Qualitative Data Quantitative data refers to information that can be expressed as a number, percentage, or calculation. Here are a few examples of quantitative data: —Quarterly sales results —The number of products purchased in a particular time frame —The number of patients seen Qualitative data refers to information that describes attributes or meaning. Qualitative data is useful in an analysis to help you determine why something is so. Here are a few examples of qualitative data: —Color, texture, appearance of a particular product —A customer’s motivation to purchase one product over another Qualitative data is often captured via research interviews, surveys, and questionnaires. It can also be obtained through social media sources (tweets, online product reviews, etc.) that encourage participants to write their answers in free form. During an analysis of qualitative data, you may need to determine what percentages of answers fall into a specific category. In order to do this, qualitative data is often converted to quantitative data. Both types of data are valid types of measurement: each type can tell you different things when completing an analysis. Data Analysis Another key term in the analytical process is Data Analysis. Data Analysis is sometimes thought of as transforming data into knowledge or information. The purpose is to draw conclusions or make recommendations. The analysis techniques are simply tools that can be applied to help understand the data. But the core process is a mental one. Analysts need to look at the data, think about it, and relate it to the problem they are trying to solve and the answers they are trying to obtain. For the vast majority of straightforward business problems, the only analytic techniques that are required are counting (tabulating), comparisons and determining general tendencies, which usually translate into averages. Content Analysis Content analysis is a systematic way of reviewing and summarizing text, whether it is delivered orally, in writing, or via multimedia. Content analysis is used to: —Classify information having common characteristics —Identify trends, key themes, highlights —Analyze language in context —Compare information from various sources Data Analysis and Content Analysis are processes that occur in all analyses. Analysis Process: PAC Model (Plan, Analyze, Conclude) Sometimes the word “analysis” can connote a lot of work, effort, and “brain power.” We perform analyses all the time, even when we’re not aware of it. The PAC Model provides a framework for conducting a thorough and meaningful analysis. Depending on the analysis, you will go through these steps in a matter of minutes, sometimes over the course of hours, days, weeks, months, or longer. Plan Define your purpose Clarify the question Decide on your approach Analyze Collect and organize your data Evaluate the data Conclude Draw conclusions Make recommendations Report your results

Experience is a mother of Knowledge.