Financial Times of "Big Data": Big Collision between "Scientific Dreams" and "Life Reality"

In the so-called "Big Bang of Life," the American sitcom now much sought after by young people, depicts two "scientific geniuses" in the theory of quantum physics that seem quite simple when it comes to daily necessities, But often feel that "lost in space" feeling. When the "scientific dreams" collide with the "realities of life," even geniuses in the scientific community feel disoriented. Nowadays in the Internet era, enterprises will inevitably encounter a "big data explosion", especially for large enterprises and Internet companies. They will encounter a large amount of various kinds of data in the course of business operation, and the amount of data The more data (in terms of PB, EB, or ZB), the more complex the data types (text, images, XML, HTML, reports, images, audio / video etc.) and the faster the data grows.

"Data Big Bang", how to tap these data, facing the dual challenges of technology and commerce.

Financial "big data" era

One of the notable features of Big Data is "Volume, Variety, and Velocity," posing a significant challenge to data processing and analysis technologies such as traditional data warehouses.

Fortunately, "Big Data" technology comes in! It refers to the ability to quickly get valuable information from a wide variety of types of data. As a simple example, you drive in front of the CPS and say, "I'm looking for a recent French restaurant." After just a few seconds, you will be satisfied with your answer. Behind this is the positioning, data retrieval, access, data exchange and a series of actions, it is supported by the "big data" technology. When you issue a search or query request, the most computational work is the exchange of information between the servers and the result is returned to you.

In essence, "big data" itself is not too much value, based on the processing and analysis of big data companies can bring huge value-added value.

Obviously, "big data" has become an emerging trend and key word in the Internet era. More and more enterprises use technologies such as BI to collect and analyze large-volume and high-speed data and analyze them.

Financial data is the most basic business, the most abundant accumulation of a kind of data. Managers in the analysis and decision-making, the first thought is often the analysis of large amounts of financial data.

The processing and analysis of "big data" can also focus on the handling and analysis of financial "big data." Based on this, BI and other technologies in the field of financial big data in-depth application of many management software is optimistic.

Full budget for data "talking"?

Known as the "number of beans," the financial staff, born is a good deal with the number of professionals. In the Internet age, the size of the data that finance faces is getting larger and larger, the types of data are becoming more and more complex, and business executives demand that data be analyzed for valuable information in seconds or even in real time.

Compared to other types of data within and outside the company, financial data is larger and more complex, with more valuable information. How to collate and count these disorganized data? How to make the financial data to speak "speak" for business managers to provide a scientific basis for business decisions?

Full budget management is the best way to make enterprise big data and huge data "live". The reason to say this is because the budget one is based on historical data and some adjustment information to predict the information in the future; the second is to compare the actual business data and budget data, and on the basis of designing a set of future business operations Best management solutions to achieve the best allocation of corporate resources for maximum return on future performance.

Based on the integration, processing, control, analysis and integration of internal and external large data, a comprehensive budget management solution helps enterprises to achieve strategic landing through cooperation with other tools (BI, network reimbursement, cost control, etc.).

For example, penetrating analysis of the product sales income in the income statement, using the comprehensive budget management solution can get the detailed data of different classification standards in different periods and different product categories so as to make it easier for the enterprise to compare the actual data with the budget data , Find the gap, find the solution to the problem.

Different from other management software vendors, Noah's comprehensive budget management solution emphasizes "consulting + software" service in the first year. In the past, when making a budget, because actual "big data" was huge and dispersed, it took months to collect the budgets of all departments. The first year of Noah's boat through a unified software system, data sharing platform, the Production Department, Sales Department, the Department of Finance, management, etc. gathered in a unified platform to help enterprises efficiently complete the data decomposition, summary, the merger operation.

At the same time, existing comprehensive budget management software such as E7-PLANNING and Hyperion Planning in the first year are built on a mature multidimensional database and have powerful automatic analysis capabilities to automatically obtain the actual mass data through the data interface. The first year of Noah's implementation of the full budget big data processing, can guide enterprises to use the system automatically compare the budget and the actual number of comparative analysis of multiple sets of budgets and fundamentally improve the processing capacity of large data companies, so that Budget analysis more timely and accurate.

Thus, comprehensive budget management helps to tap the potential of "big data," and is more conducive to enhancing the operation and management of enterprises.