When the dream of "big data" shines into the reality of "budget"

The "Big Bang" of the American sitcom, which is now popular among young people, tells the story of two "science geniuses" who are proficient in quantum physics theory who often feel "lost in space" in the face of seemingly simple things like daily necessities. When the "Scientific Dream" encounters "life Reality", even the science genius will feel at a loss. In the Internet age, enterprises are destined to encounter a "data Big bang", in particular, large enterprises and Internet enterprises will produce a large number of business processes, a variety of data, more and more data (Pb, EB or ZB units), data types (text, pictures, XML, HTML, reports, pictures and audio/ Video, etc.) is becoming more and more complex and data growing faster.

Under the "Data explosion", how to excavate these data, faces the double challenge of technology and commerce.

Financial "Big Data" era

A notable feature of "large data" is "mass (Volume), diversification (produced) and Rapid (Velocity)", which presents a great challenge to data processing and analysis techniques such as traditional data warehouses.

Fortunately, "Big data" technology is coming! It refers to the ability to quickly obtain valuable information from a variety of types of data. As a simple example, you drive your car to the CPS and say, "I'm going to find the nearest French restaurant." "After a few seconds, you'll get a satisfying answer." This is the positioning, data retrieval, access, data exchange and so on, which is supported by "Big data" technology. When you send a search or query request, the most operation is the exchange of information between the servers, and finally return the results to you.

In essence, the "big data" itself does not have much value, based on the processing and analysis of large data can bring the enormous value-added value for the enterprise.

Clearly, "Big data" has become a new trend in the Internet era and key words, more and more enterprises through the BI technology to collect, mining large capacity, high speed data and analysis.

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

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

The full budget makes the data "talk"?

Known as the "bean" of the financial staff, was born to be adept at dealing with digital professionals. In the internet age, the financial data is facing more and more large-scale, the data type is more and more complex, but the Enterprise Manager requests the data in a few seconds or even is in real-time to analyze the valuable information.

Compared to other types of data within and outside the enterprise, financial data is larger and more complex, and contains more valuable information. How to collate and statistics these messy data? How to make the financial data open "talk" to provide scientific basis for the management decision of the enterprise managers?

Overall budget management is the best way to make large data and mass data "alive". The reason for this is that budget one is based on the data of the calendar year and some adjustment information to predict the future period of information; the second is to compare the actual business data with the budget data, and on the basis of the future operation of the enterprise design a set of best management plan, in order to achieve the best allocation of enterprise resources, to obtain the maximum return of future performance.

Comprehensive budget management solution in the enterprise internal and external large data integration, processing, control, analysis, integration, and other tools (BI, network reimbursement, cost control, etc.) to help enterprises achieve strategic landing.

For example, the expected profit statement of the product sales through the analysis, the use of comprehensive budget management solutions, can be different periods, different product categories, such as different classification criteria of the detailed data, to facilitate the enterprise's actual data and budget data to compare, find the gap, find a solution to the problem.

Unlike similar management software vendors, the year of Noah boat comprehensive budget management solution more emphasis on "Consulting + software" services. In the past, as the actual "big data" was large and dispersed, it would take months for the budget to be collected. And the year of Noah boat through the software system unification, data sharing work platform, the production department, sales department, Finance department, management and so on in a unified work platform, to help enterprises efficiently complete the data decomposition, summary, merging operations.

At the same time, the existing comprehensive budget management software in the market, such as the year e7-planning, Hyperion calculates and so on are mostly built in the mature multidimensional database, has the powerful automatic analysis ability, obtains the actual massive data through the data interface automatically. Nennoia boat in the implementation of comprehensive budget data processing, can guide enterprises to use the system automatically budget number and the actual number of comparative analysis and analysis of multiple sets of budgets, fundamentally improve the processing capacity of large enterprises data, so that the budget analysis more timely and accurate.

Thus, comprehensive budget management helps to tap the value of "Big Data", and it is more advantageous to improve the management of enterprises.

(editor: Heritage)