Yonghong Agile Bi-assist Eric Group to realize large data analysis of internet

The information about the big data is overwhelming and dazzling. Although the information is wonderful, we also see the value behind the big data, but many companies do not know how to do it.

In a pragmatic manner, using low cost, high speed capture and real-time analysis of large data to obtain the key information needed for core business and strategic decision, so as to enhance the level of business management and strategic decision, and ultimately create huge commercial value, perhaps the best interpretation of large data value.

In the process of analyzing large data, the traditional bi (business intelligence) approach is that it personnel in advance based on the analysis requirements of the modeling, do two tables or play cube, the early summary of data, business staff in front view analysis Results report.

This practice is mature and lasts for many years, but there are also some problems:

1. Business staff to view the relatively static report, the analysis of the dimensions and measurement of the calculation of the model has been in the modeling preset, can not be changed, such as fixed is the sum or average, want to change to seek variance must go back to modify the model;

2. Analysis of changes in requirements, the business staff can not directly adjust the report, IT staff need to model or modify the existing analysis models, time-consuming, long response time;

3. Some enterprises have a small amount of data and need to follow this process and structure to carry out the data analysis.

The essential reason for these problems is that the past technology architecture is insufficient to compute the massive data, and it needs to be summarized by modeling, two tables, and cube data in advance.

Solution-Yonghong Agile Bi

With the development and evolution of technology, the BI field has ushered in a new generation of agile bi innovation. The advantages of using Yonghong Agile BI in data analysis include:

? Analysis reports cannot be seen but not moved. Data presentation is the starting point, not the end point. See the data, to be able to interactive analysis, to be able to dig deep down, to be able to find problems, to find the answer, but also to take action. And the process of data interaction is fast enough, if the user needs to wait 35 minutes per click to produce results, can not be interactive analysis. Yonghong Agile BI based on large data processing technology, the TB-PB level of data can be realized second-level response;

? Analysis reports should be made available to non-it colleagues directly on the analysis platform. The inability to submit all of the analysis reporting requirements to the IT department can significantly increase the burden on your IT department. Agile BI Implementation and operation is simple, business personnel can be directly used;

? Analysis reporting requirements often require data-tier changes that require IT departments to improve the data tier and business layer, and the traditional BI platform needs to comb the model for a month or two. Yonghong Agile BI does not need to be modeled in advance, can flexibly adjust the Analysis dimension and report presentation in the analysis process, the requirement change can respond in one day, enhance the enterprise's insight decision-making power.

The principle of Agile bi

Unlike traditional bi's weight modeling, unified view, Agile bi takes lightweight modeling, N-View methods, no two tables and cubes, data can be directly analyzed, and business people can adjust the dimensions of analysis and the calculation of measurement, greatly increase flexibility, truly and data dialogue.

Presumably, there is a question that, since there is such a convenient way, why does the traditional bi not adopt such a framework? As mentioned above, the traditional technology architecture does not introduce the current large data technology, the face of massive data can not be clicked in a few seconds of users to show the results, so the data must be summarized in advance to ensure that the analysis of the report presentation speed. The premise of implementing agile bi is to improve the performance of the new architecture processing data by dozens of times times, including distributed computing, memory calculation, column storage, and library computing.

Therefore, agile bi can quickly give insight into the meaning and value of data through lower cost and shorter online cycles.

Case--a day to realize data visualization analysis

Let's look at a real case of Eric Consulting Group.

The consulting group faces the following issues:

? Eric is the largest Internet media/research institution in the country, and more than 70% of overseas listed companies cite its research and analysis report. At the same time to provide customers with customized advisory Reporting Services, divided into the provision of offline reporting and the provision of software two types of services;

? Customer customization needs are changeable, if the production report needs 3-4 weeks delivery cycle, if the provision of software needs half a year delivery cycle. Because of the high cost of labor, the iterative cycle is too long, dare not undertake too much reporting requirements of the project, can only do a small number of customized projects;

? Therefore, Iris wants to leverage business intelligence tools to improve business efficiency and revenue space.

To summarize the needs of Eric:

? The project needs examples: According to the Time dimension, the website summarizes, carries on the user's source area, the antecedents domain name and the page visit number, the residence time, the effective visit frequency, the bounce rate, the return person, the new visitor, the return visit number, visits the date and so on related data statistics. To be able to dynamically add conditions, through the user behavior monitoring data obtained to analyze, more detailed, clear understanding of user behavior habits;

? The daily data volume tens of millions of, and the different website customer's analysis demand is each different, the flexible change multi-dimensional analysis demand has raised the higher challenge to the analysis performance, the traditional database and the Hadoop architecture already cannot satisfy the high performance real-time analysis demand;

? Foreign products, such as IBM, SAP, Oracle and so on, the price is more expensive, in millions of magnitude, unbearable;

? Domestic products are most of the previous generation of business intelligence, the need to model before the analysis, it is difficult to deal with a flexible multidimensional analysis of changes in demand, and for large amounts of data processing capacity can not meet the requirements.

Finally, with the agile bi (business intelligence) technology, the three-month detail data (about 5 billion) is introduced into the agile bi system of Yong Hong Technology, which directly customizes the analysis and presentation of the report. This initiative brings huge benefits to customers:

• Business efficiency: After using agile business intelligence tools, the offline reporting delivery cycle is shortened from 3-4 weeks to less than 1 weeks, and software deliveries are shortened from six to one months, compared to the original analysis method based on Excel and SQL programming.

• Project Source Increase: Previously dared not to undertake the requirements are not fully identified projects, due to the fear of changes in demand resulting in inability to deliver. With agile business intelligence tools, you can quickly build prototypes to customers in a few days, and any change in requirements can be adjusted within a week. The ability to undertake such projects through the rapid prototyping and error-testing approach;

• Increased revenue space: due to the great increase in business efficiency, the ability to undertake more projects, income space has several times the growth;

• Customer Satisfaction Enhancement: the ability to respond quickly to customer needs and changes, exceeding customer expectations, dramatically increasing customer satisfaction and customer retention rates.

Not only that, but also the transformation of the Innovation model:

• Based on agile business intelligence tools, Eric builds a new SaaS platform to further enhance the user experience and provide intuitive, interactive analysis and presentation reports to customers

• Deliver stable long-term sustainable revenue through SaaS account sales patterns, changing the revenue model that was originally based on a single project

U-Iris's value description shifts from media/consulting services to Internet application providers that provide large data services, dramatically boosting the value of capital markets

U affiliates quickly follow up on the use of Agile business intelligence tools and changes in new patterns

This is a new revolution, the big data age, the emergence of countless data nuggets, also need someone to provide a good shovel.