Spike excel PivotTable, a further visual analysis artifact Guards

First, from the development of computer and mobile phone to begin

Before Microsoft windows operating system is widely used in various computer systems, computer mostly we see this (the mind can not help but emerge from linux engineer sitting in front of a computer, hands shoot straight beating fast complex screen instructions):

Spike excel PivotTable, a further visual analysis artifact Guards

 

Luckily today we live in an era wndows Microsoft operating system has spread to the world by means of efficient and convenient visual interface interactively windows system, let the computer is no longer a need for skilled people to use. From linux to windows shift means coded visual interface to interactively leap, universal computer era has quietly come.

Similarly to the mobile phone market, for example, the smartphone has replaced the traditional old Nokia phone, mobile smart phone into the universal application of the new era.

Each technological era of changes and breakthroughs, productivity will mean the arrival of a new era of progress.

Two, Excel = old Nokia, FineBI = smart phone?

In the current era of big data interconnection of all things, all kinds of large data relating to a high-speed software and hardware flourishing. But when someone asks you the most commonly used data analysis software is something, I believe that even in the modern era, we answer the most tools are still excel.

Contrast development of smart phones, excel like the old Nokia phones:

1. Small volume, hundreds of thousands of pieces of data on a half-day turn out;

2. Low Yen value, made out of the chart is not beautiful;

3. cumbersome operation, entry is easy to master difficult, once found with a deep "into a deep sea Red."

emmm ..... upgrade time for a smart phone! ! !

Spike excel PivotTable, a further visual analysis artifact Guards

 

Each time a conversion requires a process, but a good product often has a destructive market, such as smart phones that year the impact on the traditional mobile phone market, Nokia devastating. I started to FineBI product is rejected, just because accustomed to Excel and do not want to take the time to learn a new thing, and even thought both basically the same, choose one on it. But in the face of greatly improved efficiency, I chose to change.

Third, what is FineBI ?

关于FineBI,可能很多小伙伴或多或少了解过这款商务智能工具,这是目前市面上应用最为广泛的自助式BI工具之一,相比国外的Tableau等BI工具,国产的FineBI还是非常符合国人的数据分析思维习惯的。

  • 你可以把它视作为是可视化工具,因为它里面自带几十种常用图表,以及动态效果;
  • 你也可以把它作为报表工具,因为它具有强大的可视化数据分析能力;
  • 你还可以把它看作是数据分析工具,因为如果你有数据,你想分析,可以借助FineBI做一些探索性的分析,其内置等数据模型、图表。

但严格定义来讲,他其实一款自助式BI。常常被用作大数据前端展现的工具,对接企业hadoop、Spark等大数据平台,有了这一款工具之后,IT部门只需要将数据按照业务模块分类准备好,业务部门即可在浏览器前端通过鼠标点击拖拽操作轻松探索自己想要的数据分析结果。

Spike excel PivotTable, a further visual analysis artifact Guards

 

这种动态的数据报表在商业场景很常见,通常用来给客户/老板看各种关键数据指标以及总体情况,一览无余,所以被形象地被称为仪表盘(Dashboard)。

Spike excel PivotTable, a further visual analysis artifact Guards

 

从企业数据分析综合能力来看,FineBI绝对是神器般瞬间秒杀Excel的存在。

四、如何使用FineBI

1.软件下载和安装

关于FineBI,它的特点就是操作简单上手快,无须任何代码,直接在浏览器端通过FineBI工具的鼠标拖拽和点击操作即可生成色彩绚丽的可视化图表效果,帮助用户进行动态和深入的探索式多维分析。

下面我们可以通过FineBI官网获取软件激活码,下载并按照向导安装好软件:

Spike excel PivotTable, a further visual analysis artifact Guards

 

2.Excel办公数据处理工具——>FineBI商业智能数据分析平台

前面说到,Excel虽然拥有者全球最大体量的用户群体,但是由于产品的功能和使用定位,用户也只是将它作为一个企业的办公数据处理工具来使用而已。

Spike excel PivotTable, a further visual analysis artifact Guards

 

而FineBI作为一款成熟的企业商业智能数据分析工具,发挥的则是让企业IT人员和数据分析师或者是有数据分析需求的业务人员各司其职的能力,IT人做擅长的数据准备工作,数据分析师或者是具有数据分析需求的业务人员,通过FineBI及其便捷的数据可视化拖拽式探索分析,企业提高运作效率,协同释放数据潜能。

3.Excel重复的文件数据更新操作——>FineBI Spider引擎企业数据库对接

我们以往在使用excel做一些数据统计时,一旦数据需要更新,比如做了8月份的财务报表,到了9月份时,需要我们再次花费人力去进行数据更新操作,这就带来了很多重复性的劳动成本。

而FineBI则直接通过内置强大的Spider引擎直接和数据库进行对接,并且提供实时和抽取(提高大数据性能)数据的两大模式供用户自由选择,支持的数据库类型多达30多种,不可谓不丰富。

Spike excel PivotTable, a further visual analysis artifact Guards

 

除此之外,FineBI还提供了基于业务主题的业务包形式,一次性构建数据之间的关联关系,高可复用性的元数据管理模式,为数据分析师或者是有数据分析需求的业务人员进行可视化数据探索分析提供了无限可能。

Spike excel PivotTable, a further visual analysis artifact Guards

 

4.Excel平面公式计算——>FineBI自助式即时探索拖拽分析

我们使用excel做数据计算的时候,往往需要用户进行大量复杂繁琐的的平面单元格公式计算,操作界面是这样的:

而使用FineBI进行数据探索分析时,我们将整个界面分为7大区域,分别为维度字段区域、指标字段区域、图表智能推荐区域、属性样式区域、横纵轴分析区域、图表预览区域、数据挖掘深度分析区域,用户的操作界面是这样的:

Spike excel PivotTable, a further visual analysis artifact Guards

 

通过FineBI人性模块化的分区,使得我们用户只需要通过鼠标得点击和字段拖拽操作即可完成对数据的整个探索分析过程。FineBI基于著名的图形语法(The Grammar Of Graphics)设计,以“形状“和对应的“颜色“,“大小“,“提示“,“标签“等属性(除支持自由设置之外还支持与字段绑定动态展现)进行图表类型替代,这样一来FineBI也就摆脱图表类型对可视化效果的限制,从而达到无限制图表类型的展现能力,让用户轻松实现对数据的即时洞察和见解。

Spike excel PivotTable, a further visual analysis artifact Guards

 

5.Excel复杂报表——>FineBI更具有见解和洞察力的故事仪表板(Dashboard)

我们在使用excel做报表时,由于其基于单元格的横向/纵向拓展特性,通常我们做出来的报表会是下图这样的,密密麻麻的文字和指标,让人看了抓不住重点,很难从其中获取到有效信息:

Spike excel PivotTable, a further visual analysis artifact Guards

 

而通常我们在做一些数据报告性质的场景下,需要利用数据创造出吸引人的、信息量大的、有说服力的故事。而FineBI除了提供无限的图表分析之外,仪表板还可供用户进行灵活地数据图表布局分析,轻松构建出你的数据图表思维逻辑,让你拥有独到的洞察性数据见解,进而达到有效沟通或者数据汇报的目的。

因此FineBI做出来的故事仪表板是下图这样的,数据之间可进行任意联动、钻取、跳转等OLAP分析操作。重点突出,逻辑清晰,具有深度见解和洞察力,可读性极高!

Spike excel PivotTable, a further visual analysis artifact Guards

 

如果你是上图报告中的数据分析师Rebecca,给领导汇报完毕之后,想必升职加薪已经指日可待了吧~

6.OLAP多维分析——数据探索式分析终极大杀器

Spike excel PivotTable, a further visual analysis artifact Guards

 

除了丰富的可视化展示效果之外,FineBI还支持前端的一些丰富多维分析操作,例如钻取、过滤、跳转、数据预警、数据联动等,借助FineBI高可交互性的分析型仪表板,让你的数据能够快速讲出故事。

First of all, like drill, we are more familiar. For example, an enterprise to various provinces and cities nationwide sales statistics BI, then after reading found that more sales in Guangdong, Shanghai and Beijing are also many. That look at the distribution of sales in Shanghai when you can drill down into the point, a look at the largest of Pudong, the city's watch sales in Guangdong, drill into it to the point and found more than Shenzhen and Guangzhou.

Spike excel PivotTable, a further visual analysis artifact Guards

 

Then look at the slicing operation, for example, there is a milk producers, they do prior to the time of data analysis are analyzed in a given year sales each month, but not easy to find problems such individual sales in. After they made the operation a slice, it will show sales of yogurt and milk found by analyzing the data, all years the presence of a short season, when sales of yogurt is better in the summer, because the summer weather is hot, relatively fresh yogurt, fresh milk is better in winter, because winter we all like to drink hot milk, warm body. After adjusting the number of decision-makers will produce quarterly and summer production of yogurt, milk production in winter, reduce inventory pressure. At the same time, as some early warning data, ah, by setting the alert value, you can clearly see which exceeded targets, and what indicators of compliance.

7. Share and collaborate

Data analysis applications in the enterprise workflow, cross-team collaboration and data sharing is essential. In FineBI, the business people to share dashboards with others can be done in two ways:

  • Share this dashboard directly to a specific user, who can see the shared templates and share them there.
Spike excel PivotTable, a further visual analysis artifact Guards

 

  • Implementation creates a public link way, by creating public access to the dashboard link, this link public anyone can access, is so simple ~
Spike excel PivotTable, a further visual analysis artifact Guards

 

8. Recommended learning materials

FineBI because the domestic soft sail BI analytics platform provider, so be it based learning document or teaching videos are more abundant, in addition to a very active fan soft Chinese community learning exchanges for all users. Technical services, if it is enterprise-level users, there will be professional technical services team response service.

Spike excel PivotTable, a further visual analysis artifact Guards

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Origin www.cnblogs.com/laoA188/p/11357086.html