Bi Data Modeling

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Yonghong Agile Bi-assist Eric Group to realize large data analysis of internet

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 ...

Big Data makes bi and predictive analytics more powerful

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 ...

Microsoft plans to launch Power BI mobile app, first push iOS version

Microsoft plans to expand its business intelligence tools power BI to mobile platforms, and they will first launch a native iOS app. This week, Microsoft emailed a group of testers asking if they had an iphone or ipad and would like to experience the Power BI mobile version on their mobile devices. Power BI provides Excel based data query, mapping, modeling, and interactive cartography. Excel can create content, data models, and other visual information, and power bi can be used to share, collaborate, and ...

Use Hadoop to help business intelligence practice "full data"

September 2013, Etu, an Asian native Hadoop navigator, Etu, a large data integration machine with knowledge and intent, was awarded the "Big Data Product Award" by the host in the "Big Data Age Business Intelligence" forum, which is also awarded by Dell   , Huawei, Wave, SAS and other well-known industry friends. On this award, ETU, director of Courio, said: "I am delighted Etu is the only large data platform product representative to receive this award." ...

Industry Analysis: How to use data to drive sales

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall billion Power network case Center editor-in-chief Wei The Science and Technology COO Zhang Shaofeng The Korea all clothing House PR director Chen the electricity merchant experienced the extensive brutal growth, gradually enters the fine operation stage, the data mining and the analysis also becomes the new target which the electricity merchant enterprise exerting force.   What data mining directly drives sales growth in the finer battles of this data? How do I turn data into sales? Less than 5% power companies have data mining team billion power ...

Translating large data into large value practical strategies

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

15 Scenarios for large data applications in the healthcare industry

Gartner presented the BI concept in 1989. Gartner further upgraded the BI concept to advanced analysis (Advanced Analytics) in 2008. 2011, McKinsey explained the concept of large data. The names are different, but the problems they are trying to solve have never changed. However, now large data analysis technology can deal with more than 20 years ago, a larger, more diverse, real-time (Volume, produced, Velocity) data, that is, large number ...

The difference between big data and cloud computing

There are often misconceptions about the relationship between big data and cloud computing.   And they will be mixed up to say, do one sentence of a straightforward explanation is: cloud computing is the virtualization of hardware resources, large data is the efficient processing of massive data. Although the above sentence explanation is not very appropriate, but can help you to understand the difference between the two. In addition, if you do a more vivid explanation, cloud computing is equivalent to our computer and operating system, will be a lot of hardware resources virtualization after the allocation of use, in the field of cloud computing is now the boss of Amazon, can ...

Fanzian: Development status and future planning of China Unicom's large data

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries on the question of the demand and practice of the departments in charge of the government, the finance, the operators and so on to realize the path of transformation and industry innovation through the management and operation of data assets. In PM operator @big Data Forum ...

Big data practitioners five trends

In the era of information explosion, businesses and businesses fought to attract and retain business intelligence and information management professionals. We also see huge gaps in Big Data practitioners in the annual ITWeek Salary Survey released by InformationWeek. Now in the field of big data presents the "4V + 1C" features. That is Variety: usually include structured, semi-structured and unstructured and other types of data, and their handling methods and analysis methods are different; Volume: through ...

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