IBM: Top ten skills to deal with big data challenges

IBM offers a range of platforms to address the three challenges of large data-mass (Volume), diversification (produced), and Rapid (Velocity). Whether it is an energy company that analyzes meteorological data, or that the judiciary analyzes valuable information in numerous video data, or how many years of transaction data are analyzed by the bank to identify the client level for examining assets. IBM's large data platform can help companies manage their data as strategic assets. IBM Research has been working in large data areas for more than 3 years and currently has 100 large data project customers. IBM has invested 14 billion of billions of dollars in business analytics-including 24 acquisitions and the gathering of 8,000 analyst advisers.

IBM executives say that IBM's vast experience can help customers develop and design large data strategies using existing systems and resources. According to the latest financial statements, Business Analytics revenue grew by 19%, far exceeding the same period last year.

In addition, IBM announced the introduction of data and business analytics products across multiple platforms at a meeting held last month in Las Vegas, covering everything from mobile devices to data centers to SmartCloud. Through these new products, employees in any company can search for unstructured data such as Twitter, Facebook jobs, weather forecasts, geo-data and videos, making the process part of their day-to-day work.

Below, we introduce IBM's top ten advantages in coping with the challenges of the big Data Age:

1. Large Data Analysis historical opportunities

The data generated every day is equivalent to the 2.5 quintillion (quintillion,10 18), and its sources include sensors, mobile devices, online transactions, social networks, etc. Given the huge amount of information, there is an urgent need for efficient large data management solutions. According to the IBM survey, 83% of CIOs believe that business intelligence analytics is becoming the top strategy for companies, while 71% of market directors say companies are not ready to deal with big data outbreaks. This is undoubtedly a huge historical opportunity for IBM to provide large data solutions.

2. The Cloud ERA has come

IBM's Data Analysis solution is designed for both the mobile market and the increasingly popular cloud computing environment, providing a variety of solutions for various types of users to analyze large data. A new generation of biginsights software in SmartCloud can help customers analyze massive amounts of unstructured data. The ipad solution, Cognos, can provide touch-mode data analysis in both online and offline situations.

3. Consumer sentiment

Understanding the needs of consumers is critical to any industry. With Facebook users breaking the 1 billion mark and Twitter's 140 million posts a day, people can monitor and analyze these online content in real time to develop appropriate product and service promotion programs. IBM Research found that 95% of the world's leading companies believe that close to the voice of users is very important. The University of Southern California's creative laboratory and IBM are working on social media projects that use advanced analytics software to understand the world's trends. The university's lab employs IBM's social analysis technology to analyze hundreds of tweets to produce a social Information index.

4. Work analysis

In the work of analysis, you can dig large data analysis to understand consumer demand, access to relevant data, help organizations make key business decisions, improve business level.

5. Intelligent Energy

Vestas Wind systems, which rely on Biginsights software and IBM supercomputers, then analyze the meteorological data to find the best place to install wind turbines and the entire wind farm. In the past, it would take less than 1 hours for the analytical work to be done in a few weeks.