How to use first-hand data visualization to win the favor of the boss and grasp the key points of data visualization

In fact, data analysis 、 Data visualization itself is just a means of mining value information behind data , Nowadays, data visualization is so popular, on the one hand, because of various visualization tools 、BI Tools greatly reduce the threshold of visualization , Enterprise level business intelligence BI What's more, you can design visual reports with rich elements by dragging and dropping ; On the other hand, social digitalization is deepening , Let things in reality be measured by data , The scale and value of data have been enhanced , Become a person 、 Important assets of enterprises and even countries , So data visualization today , Or are the skills that enterprises should actively use in the future .

Now it's 2022 year , Data visualization has become the basic skill of data analysts , It has also become the basic presentation requirements of enterprises for data analysis . But many data analysts are actually learning 、 There is a little deviation in the process of using data visualization , That is, many people have not really explored the design concept of data visualization 、 Realization way 、 Logical layout 、 Interactive communication and other unique attributes , But just copy the experience of past data analysis to data visualization , As a result, data visualization is only presented on the surface , Most of the value of data visualization is not realized , As a result, enterprises have no desire to read data visualization reports .

What is data visualization

Generally speaking , Data visualization refers to , Based on graphical means , Through statistical analysis , The complex 、 Abstract and incomprehensible data are visualized in the form of charts , In a more intuitive form , Clearly and effectively convey and communicate the value information hidden behind the data . So use one sentence to describe data visualization , Data visualization is a data technology solution that transforms data into information and knowledge .

Data visualization - Parker data business intelligence BI Visual analysis platform

Data visualization is an extension of data analysis , It is also a complement to data analysis , It is also a multi-level upgrade and optimization of depth and breadth . The data of the enterprise is visualized by the data analyst , Be able to make business bulletins 、 Business trends 、 Achievement analysis 、 Regional development analysis 、 Various visual reports such as market analysis , Let the enterprise's Finance 、 sales 、 brand 、 market 、 Different employees in different departments such as R & D , Can obtain the value information behind the data , Jointly promote the healthy development of enterprises .

Besides , Data analysts can also use business intelligence BI And other enterprise level data technology solutions , Through the multi terminal designer , Make... Separately PC、 Move 、 Visual reports of different terminals such as large screen , Form management cockpit 、 Enterprise status 、 Core indicators 、 Different styles such as monitoring and early warning 、 Functional data visualization , So that enterprise managers can access the comprehensive development information of the enterprise anytime and anywhere , Handle exceptions , Make decisions quickly and accurately .

Key points of data visualization

1、 Readability

Data visualization is made by data analysts , It is provided for different employees of the enterprise to read , In other words, a data analyst is like a teacher , It is necessary to teach difficult examination questions in a way that students can understand , The same is true of data visualization . Data analysts need to lower the reading threshold of data visualization , Ensure that the visual report is intuitive , Let enterprise employees not understand data analysis 、 Under the premise of data visualization , Still able to obtain enough information and knowledge , Understand the meaning of the analysis chart .

2、 meaningful

Data visualization is the development of enterprise business personnel 、 Information support for managers' decisions , Therefore, data analysts should fully understand the business personnel before making visual charts 、 Data visualization needs of managers and others , For example, the salesperson needs to know the monthly sales situation , At this time, the data analyst should retrieve the monthly sales data , Through the bar chart 、 The pie chart 、 The cockpit conducts multidimensional analysis on the data , Finally, the sales trend 、 Sales share 、 The sales achievement and other results are displayed on the visual chart , Let the salesperson understand the monthly sales situation , This is the meaning of data visualization .

3、 Uniformity

In addition to various needs , Data visualization itself also has a lot of production 、 Design skill , Data analysts should maintain a theme on the same visual analysis page , Make every chart on the page as relevant to the topic as possible 、 The data information presented is also consistent with the theme , At the same time, the color matching in the page 、 Layout 、 The style should be as consistent as possible , There will be no complications 、 confusion . then , Different chart modules in the data visualization report should be symmetrical as far as possible , Keep the whole page in a balanced state , Design the page layout in advance , Place similar data information in adjacent locations , Give users a good viewing experience . thus , Data visualization report can be more concise 、 beautiful , Easier to read .

Production process of data visualization

1、 Determining demand

Before making visual reports , Data analysts need to plan according to business analysis needs , According to the hierarchy 、 The theme 、 Different modules divide the business requirements into small analysis tasks , And capture the business indicators 、 label , To classify , It is convenient for subsequent data retrieval and actual analysis .

Business needs - Parker data business intelligence BI Visual analysis platform

In the process of requirement confirmation , Data analysts need to pay attention to the corresponding relationship between business and data , According to business indicators 、 The label confirms whether the data in the data warehouse is complete , If there is a lack of some data, we should conduct research or fill in 、 Supplement the data , Then we need to evaluate the data quality , After confirming that the data in the requirement exists , Then proceed to the next step of data visualization .

2、 Prepare the data

Data analyst before data visualization , The data required for the task should be prepared in advance , Make preparations before analysis , Avoid looking for data while analyzing . In the stage of preparing data , Data analysts should cooperate with technicians , Indicators needed to visualize subsequent data 、 label 、 Dimension and other data are retrieved from the data warehouse , Prepare for visual data analysis .

Data visualization - Parker data business intelligence BI Visual analysis platform

When preparing data , The data analyst also needs to confirm the business data again , And through communication and cooperation with front-line business personnel , Confirm that the data and business indicators fit each other , Think about the relationship between the data after completion , Sort out and mark the key data .

3、 Choose a chart

In the process of data visualization , The selection of charts is directly related to the visual presentation effect and the accuracy of visual analysis , A suitable chart can transform the relationship between data into intuitive information , On the contrary, the wrong chart may lead the demand results in the wrong direction .

Visual chart - Parker data business intelligence BI Visual analysis platform

Data analysts must understand all mainstream chart types , Know what analysis each chart is suitable for , What kind of information can be displayed , for instance , Broken line diagram 、 Column chart can easily show the development trend of things , But if you show the change trend of sales volume in a certain period of time on the pie chart , Then this chart has no meaning .

4、 The page layout

After the preparatory work , Data analysts can officially start making visual reports . Page layout tests the sensitivity of data analysts to size , Need to show as much information as possible on one page , Without looking bloated , Be able to convey information clearly . If the data analyst has insufficient experience in data visualization , It's easy to have problems at this stage , Therefore, data analysts should have rich experience in data visualization , To design a good page layout , If you haven't known much before , Then you should choose a visual template , Make sure there are no errors .

5、 Data visualization

（1） Sales analysis

Divide the data into different topics , Render associated data on a page , Take the central map as the core data , Secondary information is scattered around .

Data visualization – Parker data business intelligence BI Visual analysis platform

（2） Manage cockpit

Hierarchical design of the page up and down , There is a clear distinction between core data and secondary data , And by increasing the bold design , Highlight the key indicators of the enterprise .

Data visualization – Parker data business intelligence BI Visual analysis platform

（3） Salesperson performance analysis

Divide the page into three layers , Show a lot of business data information , Show the core data in the form of cockpit in the top center , Intuitive and effective .

Data visualization – Parker data business intelligence BI Visual analysis platform