Shulou(Shulou.com)06/03 Report--

Can the data talk? In the era of big data, data can not only talk, but also drive corporate decision-making and make enterprises develop in the right direction.

The rapid development of information technology has created the explosive growth of a large amount of information. Massive information has been transmitted, used, retained and stored by the IT system, which has become a huge amount of data. The era of big data has come. In the era of big data, data is not only the simple recording and preservation of information, but also the "treasure" of great commercial value. Data has become an important strategic asset of enterprises. Data analysis plays an important role in the business development of enterprises, and has become the focus of enterprises.

Data analysis dilemma

According to relevant data from Gartner, the world spent US $81 billion on business analysis and related services in 2014. According to the latest research results released by IDC, it is predicted that by 2018, the compound annual growth rate of the global big data technology and service market will reach 26.4%, with a scale of US $41.5 billion, which is six times the growth rate of the entire IT market. All these reflect the importance of data analysis to enterprises from different aspects.

The global big data technology and service market is in line with the annual growth rate

However, for most enterprises, they do not have the ability to analyze data from massive data, nor do they have professional data analysts. Enterprises only use simple tabular tools such as Excel to analyze the data simply, but because Excel is not designed specifically for data analysis, many enterprises are entangled with Excel tables. Not to mention finding useful information with commercial value from huge amounts of data.

However, it is somewhat difficult to require most enterprises to deploy professional business intelligence software for data analysis. Because, on the one hand, the platform that enterprises need to transform and deploy for business intelligence is too complex, and the purchase cost and maintenance cost are too high; on the other hand, IT technicians need to learn huge database, programming language, data mining and other related technologies, the labor cost and time cost required make most enterprises can not bear, enterprises are caught in a dilemma.

Self-service data analysis to solve the dilemma

The emergence of tie Line CRM data Analysis tool (NA) has saved enterprises from a dilemma. It is a simple "self-service" visual data analysis tool. It is simple because you can easily get exquisite visualization results of data analysis through simple mouse drag and drop. The so-called "self-service" is because there is no need for professional data analysis professionals and technicians. Ordinary employees can also quickly become "quasi-experts" in data analysis through simple learning, easily visualizing, interactively displaying and analyzing the existing data.

NA is so easy to use and powerful, mainly due to the following aspects:

Original VizQL technology

VizQL is a visual query language that converts drag-and-drop actions into data queries, and then expresses data in a visual form. By summarizing the potential complexity of queries and analysis, VizQL significantly improves people's ability to view and understand data. The resulting intuitive user experience allows people to answer their questions at will. VizQL is a major advance in the field of data analysis and visualization. Compared with traditional methods, VizQL can understand the data more deeply and work faster, up to 100x faster.

Powerful real-time query engine

With the pioneering technology of the real-time query engine of the enterprise tie line CRM data analysis tool, people can query databases, cubes, data warehouses, cloud data sources and even Hadoop locally without any programming or advanced development. Through the easy-to-use point-and-click interface, people can easily query a variety of different data sources. Regardless of the size of the data, you can connect with a few mouse clicks. Instantly access other data sources. Data connection and merging are easy to understand and can be easily mastered even by novice database users.

Breakthrough in-memory data engine

As a breakthrough in-memory analysis database, the engine can overcome the limitations of existing databases and data silos. The engine can be run on ordinary computers, making full use of the complete memory hierarchy from disk to first-level cache. It changes the curve between big data and fast analysis, allowing everyone to complete the data analysis on their own.

In addition, NA provides users with a simple and easy-to-use interface, so that when dealing with large-scale, multi-dimensional data, you can immediately see the rules presented by the data from different angles and settings, and its automatically generated and displayed charts are not inferior to the editing level of Internet artists.

Taken together, these factors have become the basis for the wide use of NA and the guarantee of high renewal rate. More and more users are using NA to view and understand data quickly, in order to drive innovation and stimulate sharp thinking within enterprises. In Internet + 's era, enterprises are unlocking the potential to serve customers and society through increasingly digital means. They will always pay attention to data in order to make decisions faster.

Help various industries to gain business insight

At present, NA has been widely used in many industries and has been well received by users. And Bayer China is one of them. Bayer is a global company with core competitiveness in the fields of medicine and health care and crop nutrition. Unlike other industries, the healthcare industry is paying unprecedented attention to data, said Wang Wei, director of business intelligence and business analysis at Bayer China. Whether it is to slash health care spending, detect fraud, or coordinate the treatment provided by multiple medical institutions, better use of health care data has become an excellent way to eliminate all kinds of health care problems.

But the reality is that the amount of data alone leaves people at a loss as to what to do, and it's hardly useful. It is very difficult to find out the doctor's code, the medical records of high-risk patients, and the sales and efficacy of drugs from completely different CIM systems. But these data continue to flow in with an unstoppable momentum.

To analyze and process these huge amounts of data, it is obvious that there are no suitable tools that cannot be done. Wang Wei said that in order to deal with the analysis of these massive data, Wang Wei's department has used four tools, such as Cognos, BO, Excel and VBA, but because these tools are very complex and inflexible, the development cycle is long and expensive, and it usually takes 3 to 9 months to complete the data analysis of a project. And the visualization of the data is not good. With NA, it took less than two months to sort out the 2 million data, and the sales statistics that could be completed in the past 20 days can now be completed in half a day. Feedback that will take one or two months to come back can now be completed in half a day. In the past, it took seven or eight people to do the work, but now one or two people can easily do it.

The change that NA brings to Bayer China is not only the improvement of the efficiency of data analysis, but more importantly, it leads the change of management mode. It provides data visualization to managers, so that managers and other management and sales personnel can find the inadequacies of enterprise business processes more clearly and accurately, and the unsatisfactory management methods and methods. So as to promote the change of the management mode and method of the whole enterprise and the improvement of the business process from the inside. This is the core value of big data, and also the real value of NA.

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