Big Data Bi Tools

When large data, namely big and cloud computing, mobile applications and social networks, became popular in the 2012, it was the most fashionable word in the field of information technology. IBM, Oracle, SAP, Microsoft and other vendors, like the search for a new gold mine, began to strongly promote the big data concept. As a result, many vendors flocked to grab the big data market, especially SAP's Hana and Oracle's exalytics. In contrast, some of the companies that push bi are not up to the level of large data, sticking to the position of the report analysis. In fact, big data really has ...

When large data, namely big and cloud computing, mobile applications and social networks, became popular in the 2012, it was the most fashionable word in the field of information technology. IBM, Oracle, SAP, Microsoft and other vendors, like the search for a new gold mine, began to strongly promote the big data concept. As a result, many vendors flocked to grab the big data market, especially SAP's Hana and Oracle's exalytics. In contrast, some of the companies that push bi are not up to the level of large data, sticking to the position of the report analysis. In fact, big data really has ...

Intermediary transaction SEO diagnosis Taobao Cloud host technology lobby Internet Data Center (IDC) analyst Sue Feldman said: "A survey shows that a complete corporate search has repeatedly become the most priority in the minds of the subjects." "Over the past two years, companies have become even more important when they find that their decision-making system has been ignoring the content level," she said. "Most of the data you need is hidden------but where is it? They are hidden in data that is not organized ...

Attracted by the advantages of new technologies, many business intelligence (BI) executives are starting to consider deploying the latest tools in the hope of efficient integration and management of decentralized data. For BI executives, the temptation to navigate the data ocean makes them willing to take risks, despite the enormous pressure challenges. However, analysts warn that relying on the latest BI tools and emphasizing high-speed processing of data can lead to the wrong direction, because too much attention to data collection and consolidation will make the value of data being overlooked. Bi executives now need to deploy rationally and stop sticking to technical fast ...

2012 has just passed, a variety of style this year really a fire. The relative, enterprise IT application on the stage, "cloud sister" also by virtue of its crazy dance conquered the vast number of users, the pressure "bird uncle" influence. Recently, it seems that every software provider has an eager ambition for cloud computing. However, in the old saying that "alone is better than one", "cloud sister" will not necessarily be the one-man show on this stage. Driven by her, the stage lit a big data spotlight, BI (Business Inte ...

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 staff ...

At present, cloud computing is unusually hot, the implementation of enterprise IT system began to gradually fall into effect, the landing of cloud computing is imminent. 　　It is easy to see, in the process of promoting the development of cloud computing in small and medium-sized enterprises, the proliferation of business data has brought many unpredictable changes to the enterprise market, and the emergence of business intelligence has dissolved the hidden trouble in business decision-making judgment, thus, business intelligence has become the core of enterprise insight. Bi set off industry big data changes with the development of new technologies, business opportunities for small and medium-sized enterprises to highlight, when large data to temporary, enterprises need to think ...

As we all know, predictive analysis has always been the "prerogative" of statisticians and data scientists in the "Ivory Tower", and they are far from day-to-day business decision makers. Big data will change that. As more and more data streams are put online and integrated into existing BI, CRM, ERP, and other critical business systems, predictive analytics will eventually become a focus of attention. Although most customer service representatives and field sales representatives have not yet felt the impact, companies such as IBM and MicroStrategy have begun to move. Big Data: Predictive analysis is no longer the prerogative of statisticians to think ...

Some time ago, Hurricane Irene suddenly attacked New York, and Phil Green at this time it is not clear what may happen will completely change his vision of technology. His greatest concern is a park called Flushing Meadows, the hometown of US Open. Tournaments - the final Grand Slam of four tennis tournaments each year - is completed. But Green is not worried about the gale and about the possible impact this game. Instead, as Media Director of the US Tennis Association, he cares more about something ...

Hurricane Irene attacked New York, and Phil Green didn't know what was going to change his vision of technology forever. His greatest concern was a park called Flushing Meadows, the hometown of U.S Open. Tournament-The final grand slam of the four tennis championships each year. But Green is not worried about the gale and about the likely impact of the game. Instead, as media director of the American Tennis Association (USTA), he is concerned with more basic things: electricity. "We have heard of such a thing ' for days without electricity ...