|December 13, 2012|
|In this issue
Special Offer--Christmas Big Discounts with Cash Back on IT Products
Blog--Get Rid of Mistaken Thoughts in OLAP
Christmas drawing near, how to release from work duty and stress to throw into a real greeting season? You must be busy with a new-year plan for a bigger performance. You must be still concern about who is your top salesman, which market is your most earning yield? And which department needs to employ what kind of employee? The annual discounts for almost all kinds of goods also come on the busy season. Top-notch statistical computing software can help you solve the above questions easily and quickly. Raqsoft should be noticed by up to 50% off on its powerful esProc and esCalc. Customers who plan for great shopping can't miss this once-in-a-life-time opportunity before Jan. 20, 2013.
Christmas is an important festival in many countries. In order to add extra joy and value to this festival as well as extend appreciation to users worldwide for their continuous support, Raqsoft offers Christmas special offer by providing outstanding Raqsoft products with big discounts. Discounts are given according to quantity and different users. Regular users can enjoy up to 50% off on purchasing esProc or esCalc, including 10% discounts and 40% cash refund. For users who buy Raqsoft products for the first time can enjoy up to 20% off, consisting of 10% discount plus 10% cash refund. Users can get access to this Christmas promotion campaign can read detailed information on Raqsoft official website.
"We take esProc and esCalc as our best Christmas gift for our customers due to their capability of problem resolution, work efficiency and cost effectiveness." Jiang Buxing, the president of Raqsoft said, "As Christmas is approaching, we hope that our 50% discounts could bring more gaiety to our customers and anyone who is interested in Raqsoft products. On behalf of all staff of Raqsoft, I wish you Merry Christmas and all the best in the coming year!"
Price and Availability
OLAP is a type of BI software that emerged and gradually developed 20 years ago. OLAP can be used to handle the complex computation flexibly and rapidly according to the requirements of analyzers and present the result to the decision-makers in an intuitive and understandable style. The decision-makers can thus grasp the enterprise operating status accurately, understand the object requirements, and set the right scheme.
The original intention of OLAP is the arbitrary interactive computation on data. To serve the purpose, OLAP tools should get rid of modeling, support the direct analysis on the history data, and provide the decision information through the arbitrary interactive computing timely. The traditional OLAP is stuck in the mistaken ideas of centralizing on modeling and focusing on presentation. According to findings from Google, since 2004, attentions on OLAP drop by 85 percent. In fact, most users just take OLAP as an expensive presentation tools.
The true OLAP should be featured by:
Support the friendly interaction. It will lower the requirements on technical background to ensure that even the normal business personnel can grasp it easily. The analysis result in any step must be always clear and visible. According to the intermediate result, users can manipulate the data straightforwardly and intuitively on menu. OLAP is intended to serve the purpose of business decision for the business specialist users. For the business experts with limited IT experience, user-friendly interaction is just what they need.
Optimize the business computing. Unlike the scientific computing, the business computing often requires the thinking from business perspective. For example "which mobile phones among the top 20 best-sellers last year still remain the top 20 best-sellers this year". In the business computing, users shall seek the interactive set of the 2 objects intuitively, instead of writing a large section of SQL/VB/JAVA scripts. How to represent the intersection set between objects easily using the business terms. The similar examples also include the associative relations to represent the multi-levels, for example, "for the sales managers responsible for the insurance products among the top 3 sales, how much contribution their clients made to it". In addition, the complex problem of commercial computing is always related to orders: ranking, link relative ratio, year-over-year comparison, etc., for example, "stocks whose sales volume keep rising in consecutive 10 days". All these problems need representing in a concise and easy-to-understand way.
The typical usage of traditional OLAP tool is always to build module first and then analyze data as if it was a convention. In facts, traditional OLAP suffers from the seriously insufficient computational capability. Therefore, it can only obtain the limited computational capability at the cost of modeling. Modeling is the means to make up for the product drawback by forcing customers to pay for it. Modeling is not a must. It is better to spend more time and efforts on data analysis than to just model. 20 years ago, the computer performance is low, and modeling can alleviate the pressure on computation. However, the present hardware performance has risen for hundreds times, and the role of modeling becomes less and less important.
Let's use an example to illustrate the drawbacks of modeling. For example, an insurance company has implemented a new insurance policy in the recent 3 months. To analyze the effect of new policy, corresponding actions must be brought up.
Firstly, it is impossible to design a complete analysis model beforehand. For example, the new policy may mainly affect the sales achievement, team relationúČor even the sales force management. The sales achievement may probably go through a host of possibilities of sudden rise and drop. The sudden rise of sales achievement may result from either the large insurance product orders placed with short lead time, or the increase in the volume of insurance product orders. There are many branches and fluctuations. Every time, users have to judge momentarily on the unpredictable tendency of branches, which means it is impossible for them to design a clear path to analyze.
Secondly, the model restricts the freedom of analyzers. Modeling means analyzers can only take actions in the stipulated scope. For example, without such data in the model, it is impossible to import the data about fellow insurance companies. For example, without the slicing, rotating, drilling, and other traditional OLAP functions, it is impossible to compute the occupations of VIP clients accounting for 60% of the total profits. The original intention of OLAP is the arbitrary interactive computation. The typical procedure is to firstly make an assumption on the obscure goal, secondly verify or falsify the assumption, correct the assumption continually, and then ultimately reach the right decision. The traditional OLAP does not support the arbitrary interactive computation on data; its limited function hinders the freedom of analyzers, and therefore cannot make the truly valuable decision.
At last, models cannot hold the changing requirement. The business opportunities are evanescent. Facing the ever changing demands, OLAP must provide the right analysis decision in the shortest time. For example, the continual decreasing of insurance product orders volumes draws the attention from executives. It is pressing to determine whether there is a relation between the insurance product order decreasing and new policy. When the traditional OLAP encounters such new requirements, users can only request the technical experts and business specialists to design the new models, and then keep on adapting the models to the practical business, and reworking on the modeling when it turns out to be incapable in the analysis stage. During this period, a great deal of time, money, human resources, and physical resource is spent. When all analyses have been done, the business opportunities have slipped away..
As can be seen from above, the model is not a necessity; on the contrary, modeling makes OLAP lost customers and market. That's why it is definitely necessary to get rid of the mistaken ideas of OLAP.
The esProc/esCalc family product of Raqsoft is just such OLAP software that requires no modeling, capable to compute arbitrarily and friendly in interaction. Of which, esProc is good at multi-step computation and solving the complex problems; esCalc relies heavily on the friendly interaction and ideal for the business personnel. They have the below advantages:
No modeling - esProc/esCalc does not require modeling because its professional computational capability enables its users to implement the immediate analysis on business data to provide the decision support promptly, and ultimately seize the evanescent business opportunities.
Technical standard is relatively low. esCalc/esProc has lowered the technical requirements on the analyzer and designed especially for the business? specialists. Business specialist can complete the whole set of OLAP work independently, such as installation and deploy, determining analysis goal, decomposing task, data retrieval, verifying the conclusion, presenting the conclusion, and print & export.The computational capability of esCalc/esProc is worth looking forward to in the hope that it will help traditional OLAP get rid of the mistaken ideas, and work together to develop the next generation of OLAP specifications, and get recognized by the industries and welcomed in the market again. Detailed information about this blog can be found at Easy Data blog.
Founded in 2000, Raqsoft focuses exclusively on the development of Business Intelligence (BI) solutions. Currently, Raqsoft has more than 150 employees, including over 80 R&D professionals leaded by the expert who has senior technology background and experience. Until now, Raqsoft has established 6 sub companies and 3 branch offices, is the industry leading BI solution providers in China. Its main BI solutions include esProc, esCalc, RAQReport, etc, which will make work of analysts are more efficient.
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