The essence of enterprise digital transformation is the transformation of experience-driven decision-making to data-driven decision-making.
1, BI, so that data into assets possible
Big Data era, "data is an asset" concept has been y rooted in people's hearts. But is data really an asset?
An asset is a resource that is formed by a past transaction or event, owned or controlled by the enterprise, and is expected to bring economic benefits to the enterprise. From this, we can see that what can be called an asset must be able to bring economic benefits to the enterprise.
So, only when the data generates value, can be called "data assets". Data that is stored in one place and not fully utilized cannot be called an asset.
With the gradual improvement of information technology, enterprises often not only an information system, ERP system, e-commerce system, CRM system, the lack of correlation between the various information systems, resulting in a serious data silo, data correlation is poor, the integration of the difficulty of unleashing the true value of data.
While BI is the main way to generate value from data, BI tools are able to well integrate data from various systems and realize the integration of multiple data sources, based on which deeper data analysis and insights can be realized, providing accurate and timely information to provide the basis for business decisions.
Figure - cross-platform interactive analysis of moving pictures
2, BI, to provide deep insight into the operation
The core of enterprise management is goal management. How in the world is a good or bad business operation caused? This needs to be analyzed through the analysis of business insights to find the root cause of the problem in order to better solve the problem.
And BI tools, which can provide deeper business insights and increase the depth of data analysis.
Example, is a profile processing plant, this month did not reach the guaranteed production. The use of BI tools, trace the root cause, and ultimately from the analysis of the financial field, pulling the cocoon, step by step, to find the production and operation of the problem place, the next step is that operators and managers to improve this condition, the error will be corrected.
Figure - penetrating analysis process
There is a classic line in the movie "The Godfather": the person who spends half a second to see through the essence of things, and the person who spends his whole life not being able to see through the essence of things is destined to a very different fate.
The inability to see the essence of data and gain quick insights into the logic behind it can bring great losses to an organization.
Figure-analysis of the value chain analysis of the cloud
3, BI, lowering the threshold of data analysis
From the executive level, the development of BI, lowering the threshold of data analysis.
Traditional BI front-end is a static class of reports, when business people have new reporting requirements and analysis needs, the need for business people to first submit a list of business requirements to the IT department, after scheduling and development, in order to use the time-consuming, high communication costs.
This in the external environment of rapid change today is very inapplicable, static reports have not been able to meet the needs of modern enterprises to analyze data. The self-service BI, greatly reducing the use of data analysis threshold, non-technical business people can be a simple drag and drop way to customize new dimensions and analytical data, exploratory analysis. This is faster and more flexible than traditional BI tools.
Figure - Analyzing the value of cloud semantic modeling