BI business intelligence projects need to do the following preparatory work:

One, a clear BI BI deployment goals

Enterprises deploying BI BI before the need for a detailed analysis, to map out the deployment of BI BI goals, such as is it in order to complete the digital transformation? Carry out more accurate digital marketing? Provide products that better meet user and market needs? Leverage data visualization for more accurate decision making?

Business Processes - Pike Data BI

At the same time, clear objectives should also be divided into different phases, to achieve the application of landing within each phase, to avoid the long-term deployment process leads to fluctuations in the hearts and minds of people, lost grasp of the goal. Specifically the enterprise to the deployment of business intelligence BI tasks are divided into pre-deployment, in the three phases after the dismantling, layered to promote the completion of the deployment of business intelligence BI.

Two, clear business intelligence BI business needs

Business Intelligence BI is a complete set of data warehouse, query reports, data analysis and other components of the data class of technical solutions, but also specializes in the customization of services for the enterprise to meet the business needs of different groups of people.

Business needs - Pike Data Business Intelligence BI

For business people, Business Intelligence BI in the enterprise to complete the basic information technology construction, business standardization, process, standardized processing, the accumulation of high-quality data from different business sectors, at this time, through the data visualization report for the business personnel can track the effect of the implementation of the business, business execution review, predictions and put forward the next stage of information to improve the efficiency of business processes;

For technical staff, the deployment of business intelligence BI will be business information systems in different sources, different formats of data, through the ETL and data model, classification and grading for cleaning, processing, etc., unified storage to the data warehouse, improve the quality of the data, simplify the checking of the number of numbers, take the number of data processing process, reduce the pressure of the work;

For managers, analysts through high-quality data in the data warehouse, graphical means, business intelligence BI data analysis, the massive clutter of data into valuable information, and produce data visualization reports, in the PC, mobile, large screen and other different terminals to provide information display, providing a comprehensive, real-time, portable and other characteristics, assisting managers in enterprise decision-making development.

Three, sorting out business data indicators

Enterprise construction of business intelligence BI projects need to sort out the relevant business to establish a sound indicator management system, through the business requirements report delineates the scope of the indicator system, the key needs of the departments to establish KPI indicators, while the analysis of the indicator formula for labeling, and related business data into the correspondence, to determine the indicator system needs to be extracted from the data.

Indicator system - Pike Data BI

1, the classification of business indicators

Different enterprises have different indicator management system, in which the classification of business indicators is even more different. Typically, before the deployment of BI BI, the enterprise will determine a perspective will confirm the needs of the construction of a full set of indicators system, for example, the enterprise can be graded indicators, the different levels of indicators into strategic indicators, management indicators and implementation indicators.

Divided by business process perspective, divided by development stage perspective, divided by organizational construction perspective ...... However, regardless of the way to divide the indicators, the enterprise needs to ensure that the indicators can cover the needs of the departments mentioned in the BI data analysis of business intelligence, and to retain the planning of business expansion.

2. Business indicator attributes

The most common problem that enterprises are prone to in BI BI projects is that they only focus on establishing business indicators and neglect to describe the attributes, resulting in unrecognizable. In this regard, the enterprise should establish specifications for the attributes of business indicators, unified description, so that each indicator can be analyzed and understood by technical staff.

Description of the indicator attributes will generally also be based on the utility of business intelligence BI data analysis is divided into three categories, one is the business attributes of the indicator, such as the name of the indicator, the description of the indicator, the indicator belongs to the classification, etc.; one is the technical attributes, such as the source of the indicator data, analyzing the indicator of the formula, the indicator of the frequency of updating the data, etc.; and there are also managerial attributes, such as the indicator belongs to the department or line of business, assessment KPIs, departmental indicators, etc.

Four, collection and management of data

Establishing business needs, indicators, enterprises can be based on the relevant demand indicators for the actual data collection work, data is the new era of the fifth major factor of production, but also business intelligence BI deployment of infrastructure, data into information, the realization of the value of the data at the heart of it.

Business Intelligence BI - Paike Data Business Intelligence BI

In this stage, which is also the eve of the deployment of Business Intelligence BI, the enterprise needs to mobilize all the staff to communicate and collaborate between multi-departmental business, develop the specification of data according to the needs and indicators, unify the length of the data, format, indicators, storage, etc., and through the cooperation of personnel from multi-departmental **** with the completion of the enterprise's data dictionary to achieve the data value. data dictionary, to achieve data integrity, timeliness, uniqueness, accuracy and consistency.

Fifth, the realization of the application of business indicators landing

In the first few stages we have to clarify the deployment of business intelligence BI goals and internal requirements, is to achieve the successful landing of business intelligence BI in the enterprise. The same is true for business metrics, if they cannot be linked to the actual business of the enterprise and landed in the operation and management, they will only become a piece of paper and be ignored by the enterprise.

Data Analytics - Pike Data BI

Enterprises can build relevant data analytics departments, which not only can apply the indicators to analyze the development of the enterprise and provide the corresponding information, but also can pave the way for the analysis of business intelligence BI data visualization and training of relevant talents. In addition, companies should also combine the indicators and business, applied in the daily staff KPI assessment indicators, through the establishment of a reward and punishment system, so that employees realize the importance of the indicators to data as a benchmark to drive business growth.

Sixth, continuous optimization of data governance

Finally, it is still important to emphasize that data is the key to achieve all the value of business intelligence BI, but also a key element of the construction of modern enterprises. Enterprises in the deployment of business intelligence BI before, in addition to the above stages of improvement, but also in the full life cycle of the data governance operations, from business processes, research and development, production, operation and management of different aspects of the data to improve the quality of the data.

Visualization of the big screen - Paike Data Business Intelligence BI

As long as these processes are completed consistently, the enterprise will not be hindered when it needs to deploy Business Intelligence BI, and will be able to successfully complete the construction of information technology, transforming unusable data into value-rich information, and assisting managers in decision-making by means of data visualization, helping the enterprise to grow in a healthy manner.

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