As a veteran BI driver, the question most frequently asked by fans is the selection of BI. Some are medium-sized enterprises just preparing for BI, and some want to change BI because the BI purchased before does not match their own needs.
In recent years, with the continuous development of BI market and technology, many manufacturers have emerged, and the functions of BI have been greatly enriched. However, there is no unified consensus in the BI field at present, and many BI tools have different focuses on function points, with uneven product performance.
Therefore, for enterprises, how to purchase the most suitable BI has become a difficult problem. An appropriate BI tool can help enterprises make decisions based on data and make business development more powerful. An inappropriate or inefficient BI, instead of making a difference, can skew business decisions.
Today I will talk to you about my BI selection of three tricks. They are: **BI basic skills, matching with enterprise needs, cost performance, technical support and service. ** The following analysis one by one.
1. BI basic skills
What are BI fundamentals?
BI products should at least have basic functions from data access, to data processing, and then to data analysis, and then see whether these basic functions are useful. Specifically, we can evaluate BI product performance by measuring data processing, data source support, data analysis, visualization, and so on.
How do you measure it?
Data processing capability can be measured from two perspectives, one is whether it is fast enough, the other is whether it can support massive data processing.
Take FineBI, which has been used by our company, as an example. With the support of the high-performance Spider engine, it can quickly pull and analyze and display hundreds of millions of big data in the front end of BI, which is quite powerful.
It is worth mentioning that the self-service data set feature of FineBI greatly reduces the threshold of using BI tools. Even the business personnel who do not know technology can get started quickly. Self-service analysis can be conducted by mouse operation.
In the data source support and data analysis level, Tableau, PowerBI, FineBI and other mainstream agile BI tools are relatively mature, which can not only support a variety of rich data sources, but also build a variety of classical data analysis models. It is not a big problem to choose too small.
Visualization is also a big part of BI tools, but the level of visualization varies from vendor to vendor. On the chart is rich and beautiful degrees, FineBI do very well, not only built into the super fine chart style more, such as bar charts, line charts and pie charts, entirely, the bubble chart, heat maps, GIS maps, etc., if it is not enough, can also go to sail soft market directly download the great god of all stripes design charts, effect is very impressive, no problem to meet all kinds of analysis.
In addition to the chart richness, manufacturers design style is different also, take time, personally, I prefer FineBI style, concise intuitive and be clear at a glance, ground drill down in favor of the latter, support the linkage between charts, a person is free to exploratory analysis, do report can easily hold all kinds of occasions, our company’s data, an analyst at heart.
Such a large screen is also easy to design and can be completed with a mouse. FineBI can also automatically recommend visual effects based on the data selected by the user, which is very efficient.
2. Degree of matching with enterprise needs
There are many BI manufacturers in the market, and many have done well, but they have their own focus on technology and function. In BI selection, enterprises should not only consider the product performance, but also consider the matching degree of product function and enterprise demand. I have seen many enterprises spend a lot of money to purchase BI, but because they cannot meet their own needs, they can only be reduced to a data acquisition tool……
What are the needs of the organization to consider?
For example, enterprise data volume, existing information system status, data integration difficulty, business type, common business analysis model, business scale, main BI usage scenarios, main BI users, etc.
From the point of view of demand, and then measure whether BI products can support enterprise business analysis, the most suitable for their own is the best.
3, cost-effective
More than a decade ago, the BI market was dominated by foreign vendors, BO, Brio, Cognos, MSTR and so on, all of which were established BI vendors. At that time, there was no cost-performance ratio. These manufacturers charged double by product + user and sold very expensive. Later, the rise of domestic manufacturers represented by Fansoft injected new vitality into BI market, which not only matched the leading level of foreign countries in technology, but also offered much better product prices.
With the strategy of mioi-style extreme cost performance, after more than ten years of development and growth, now Fansoft has become the leader of the domestic BI market share of the first, pressure a number of foreign manufacturers, become the pride of domestic software.
4. Technical support and services
The smooth launch of a BI project is absolutely inseparable from a professional project implementation team. However, many BI manufacturers in the market now rely on agents to implement the project (those who have purchased BI products know how important it is for the original factory to implement the service). In this respect, Tableau, PowerBI these leading foreign manufacturers do not do well. Tableau, for example, has only an office in Shanghai and can deploy only through agents.
As a local manufacturer, sail soft FineBI in the whole sales, implementation and service process are provided by the original factory service, service level leverage. In addition to the professional project implementation team, Fansoft has also built a well-known fansoft community in the industry. There are rich learning resources in the community, such as documents, videos, live broadcast, activities, and an active atmosphere for answering questions and communicating. We grow together with 60W data people.
Only the foot knows whether the shoe will fit. BI in ** enterprises is a big deal, so it is necessary to combine their own actual needs, make more investigations and comparisons, and find the most suitable tool for their own experience.
If you want to get a tool at the end, just “BI” yourself!