Foreword
No intelligence, no business. In the era of business intelligence, BI is becoming the corporate standard.
Then, before long, BI data but also of people and IT experts exclusive tool. Traditional BI system gives the impression, often heavy, slow, not ground gas, and resulting in many BI projects eventually become a vanity project, can not create real value for the enterprise.
So, today an advocate of equality and agile "mobile + cloud" era, can make BI in professional and powerful at the same time, more lightweight, stylish, easy to use, so that you, me, him, can be anywhere from data found trends and insights, feel the power of data, sharing the joy of insight? For businesses, how to make a new generation of BI systems faster and better floor, the real driving force for enterprises to provide strategic planning and business innovation?
With these questions, the selection treasure broadcast interviewed two senior experts - Guo Jie, Gao Yunlong. Today, we will organize a wonderful insight into the character of the two experts to others.
What is BI?
Today's new generation of business intelligence platform What are the characteristics?
What can bring value to the enterprise?
Gao Yunlong: BI stands for Business Intelligence, Chinese called "business intelligence." Gartner BI concept was first proposed in 1996, when business intelligence is defined as a class of data warehouse (or data mart), query reporting, data analysis, data mining, data backup and recovery and other components to help corporate decision-making technology and application purposes.
About BI, at different stages, different organizations and experts have a lot of different interpretations. I personally prefer such a definition: BI is the data into the enterprise information, the information into knowledge, knowledge into the decision, then the decision becomes a course of action and methods.
Guo Jie: from the last century 60-- appear Business Objects, Cognos BI tools such as the early 1970s, to Microstrategy, Information Builders, TIBCO and other manufacturers to join the competition, and then to SAP, Oracle, IBM and other IT giants through mergers and acquisitions and integration, occupy BI leader, business intelligence has gone through several important stages of development in history.
In the 21st century, with the emergence of a modern business intelligence tools to Tableau, Qlik, Power BI represented, BI's development has entered a new stage. BI to a new generation of agile, self-service features, redefining the BI user experience, business intelligence and led the transformation and revolution.
In addition to self-service and agile, the new generation of BI-driven approach has also undergone a fundamental change, driven by past IT staff to become more initiated by business people and driving. BI projects that used to take months or even a year to spend time to implement, and can be shortened to today in days as the unit, thus greatly reducing the project cycle, while also reducing cost.
BI is very wide scope, application scenarios are also very large, such as: customer intelligence, human intelligence, supply chain intelligence and more. Enterprises and organizations, BI can bring a lot of value, such as: increase sales, reduce costs, increase profitability, and so on. Of course, BI brings the most fundamental value, or to enhance the competitiveness of enterprises.
What companies should choose BI / Data Analysis System?
How to make BI in the enterprise quickly fall?
Gao Yunlong: BI does not require enterprises to implement a high threshold, it can be said, every business can implement BI. A prerequisite for the implementation of BI, I think there is only one, that is, you have to recognize the value of their motives and data analysis.
BI implementation and landed in the path of business, I think there are two. The first is to promote top-down. If business leaders are fully aware of the importance of data analysis, setting an example, and actively promote, then implement organizational BI needs, infrastructure, process specifications, will be automatically established.
The second is natural growth, bottom-up swing. Companies can start with a small area or department to start, gradually accumulated experience, and constantly create value, and for other departments draw reference. In this way, the enterprise culture of data analysis, will be like Xinghuoliaoyuan as quickly gaining in popularity.
In terms of the selection of BI systems, I think, today's IT purchasing decision makers, first according to the modern business intelligence (Modern BI) standard to select BI platform. Modern and traditional BI BI compared in data preparation, aspects of content creation, analysis and display, etc., there is a huge difference, if you go to the selection criteria in accordance with traditional BI, we can only choose to outdated products.
Modern business intelligence platform emphasizes deeply involved in the business user, so when choosing BI platform, must take into account the needs of the three roles: 1, IT and business intelligence professionals; 2, creator of the content; 3, the front line data users.