Manufacturing Data Analytics Companies

May 18 News, http://www.aliyun.com/zixun/aggregation/13660.html ">IBM Software has officially released the analytical insights of IBM's wisdom based on Business Analytics Insights (BAO) theory ( Smarter Analytics) strategy to help businesses analyze complex data. The strategy integrates IBM's large number of software products, including large data platforms, analytical data warehousing solutions, financial performance management, business intelligence, forecasting ...

"IT168 Information" March 12, 2013, IBM held 2013 large data press conferences in Beijing, fully demonstrating its unparalleled industry advantages in large data areas: from the industry's unique large data platform to the world's top large data analysis technology, from large data strategies to large data landing solutions, From a large data strategy for the enterprise consulting to IBM in the global and Chinese markets in different industries, large data practices, ...

Large data technology is exciting, innovative and powerful. Large data technology can definitely bring business analytics to a new level ... But not now. The skills and best practices of business Intelligence (BI) have accumulated for many years in 1000 major global companies and countless smaller companies, and the relational database management system (RDBMS) is up to dozens of years. The products in these categories have excellent tool technology, manageability, and fault tolerance, providing interfaces for non-developer design, with carefully created data models that represent a great deal of input over the years. ...

Global technology research and consultancy Gartner says CIOs must be aware that innovation needs to go beyond the technology used to manage large data. 　　To achieve maximum value, businesses need to seek and embrace innovation in the form of large data analysis of business issues. "Big data requires companies to embrace innovation on two levels," says Hung Lehong, vice president of Gartner Research. First, the technology itself is innovative. Secondly, enterprises must be bold in making decision support and analysis. The second reason is not a technical challenge, but a process and change management challenge ...

April 16 News, IBM and DemandTec recently announced that the two sides have signed a final acquisition agreement, IBM will be 13.2 U.S. dollars per share, cash adjustment of about 440 million U.S. dollars net price, and the full cash transaction method to acquire DemandTec. The acquisition of DemandTec will further expand IBM's smart business initiatives to help companies better define the best price points and product mix based on customer buying trends by adding cloud-based pricing, promotions, and other business and market analytics capabilities. In today's mobile network ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

When you think of big data Analytics, you might think of startups. Please think again. IBM has long been involved in this area and may do better than any other company. IBM's Deepak L.K. IBM is making great success in large data areas. Its IBM Large Data website (http://www-01.ibm.com/software/data/bigdata/) is a major resource, its TV ads embody the authority of its products in this field ...