IBM Large data Analysis technology upgrades

November 30, IBM announces that as the industry's most comprehensive provider of data solutions, IBM is actively implementing a wide range of new and large data analysis solutions to help customers in different areas of digital marketing, customer service, operations management, financial performance, and so on, to gain operational insights from the surge data, and to transform customers, Employees and partners to interact with the way to win business opportunities. Prior to the IBM information on demand and Business Analysis Summit (IOD), IBM, with the theme "Like Big," "large data," and "Big Future", once again emphasized the importance of great insights in the great data age, To demonstrate the competitive opportunities and advantages brought by large data analysis in the form of customer experience sharing, and also put forward the future prospect of large data age.

Today, industry companies are under increasing pressure to extract new insights from the existing data on explosive growth. For the telecoms industry, the number of mobile subscribers worldwide has reached 6 billion, and users need unique and personalized products to reflect their personal style. In the financial services industry, Wall Street firms generate 5 of new research reports every minute. In addition, because the retailer failed to understand customer demand, blind purchase caused by sales losses, annual reach about 100 billion dollars.

The Gartner report shows that global data IT spending will increase from $27 billion trillion in 2012 to $55 billion in 2016. The survey, published by the Oxford University School of Business (Saïd Business parochial) and IBM, analyses: large data in real-world applications (analytics:the Real-world use of the big data) shows that The analysis will become one of the important measures of the enterprise in the large data environment, and it needs strong analysis ability to get large data value.

IBM believes that large data contains huge business value. To extract the data value, so as to improve the decision-making level and improve the business become the key factor of enterprise success. IBM's large data analysis capabilities come not only from its own unique research and development innovations, but also from acquisitions such as Vivisimo and unica, tailored to large data analysis tools for customers from different industries and different needs, and can further assist enterprises and institutions to gain operational insights from the widest possible range of data:

IBM Large Data analysis solution for CMO to achieve marketing optimization

The rise of large data technology is driving every channel to a marketing transformation. Today, CMO are responsible for analyzing customer needs from different channels, such as social media, mobile devices and traditional channels, to adjust product development and sales.

The new IBM Digital Analytics Accelerator (DAA) can help CMO understand consumer sentiment, put in accurate advertising and promotions, avoid customer churn, and implement advanced network analytics to anticipate customer needs. Currently, CMO have the ability to put advanced analytics inside their firewalls to analyze all social media, network traffic, and customer interactions. The industry's first big data solution for digital marketing is supported by Netezza and UNICA Technologies, enabling customers to complete a complex analysis of PB-level data within minutes, giving marketers a precise insight. CMO can use these insights to use the widest range of data sources, speed up marketing campaigns, and better meet consumer needs.

Trident Marketing is a direct marketing enterprise whose clients include leading brands such as DirecTV, ADT and travel resorts of America. By analyzing large data, Trident marketing gain unprecedented customer insights, even anticipating the best contact time and whether the customer will cancel the service. Trident marketing achieved huge growth with IBM and its partners, Fuzzy Logix. Its revenues rose 10 times-fold in just 4 years, with sales growth of 10% in the two months after deployment, and a 50% drop in its customer churn rate.

"For the first time, marketing professionals can learn about how individual consumers react to their marketing campaigns," he said. "Trident Marketing CIO Brandon Brown said:" Through IBM's large data analysis capabilities to capture social media sentiment and other related sales and supply chain data, we can assist customers from ' to mass marketing ' to ' develop personalized marketing to a large number of individuals '. Without large data analysis, it is difficult for companies to know more about consumers, take the initiative and beat rivals. ”

IBM Streaming Data Analysis provides real-time insight to telecom operators

The United Nations telecom agency recently reported that the number of mobile phone users worldwide has reached 6 billion units. Telecom service providers are under increasing pressure to analyse large data in their networks to improve services, detect fraud and reduce customer churn.

The Infosphere streams software developed by the IBM Institute can analyze and share data in the runtime and make decisions in milliseconds in an environment that requires millions of decisions per second. The software can analyze the amount of data continuously by analyzing the speed of PB level every day.

Infosphere steams was originally used for financial Services data analysis, and new features include built-in accelerators to help telecom service providers continuously acquire and analyze data running in the network, better understand customer service usage, customer preferences, and provide personalized products and bills more easily, thereby reducing wastage. The software also has built-in social media analytics tools to help marketers fine tune promotions, improve customer loyalty and customer retention rates.

Sprint is using IBM analytics to capture and interpret all network data (including location data, dropped numbers, service outages, network performance, etc.) to enhance overall customer experience and operational efficiency. "IBM is helping Sprint manage and analyze network data with a 90% improvement over the past," said von McConnell, executive director of Sprint's innovation and Advanced lab. "We can now provide personalized new products and services and respond to market dynamics immediately." With the ability to gain insights from large data, we can create and deliver new mobile apps in minutes, not hours, so that Sprint can get ahead of its competitors. ”

Infosphere streams also gives developers the ability to drag and delete data sources to quickly and intuitively create new analytics applications. Its graphical user interface differs from the traditional programming approach, enabling developers to visualize complex business process design. Data scientists can use the new tool set, the Earth space, financial markets and equipment in the data network event log, call details records, financial transactions and other data analysis.

IBM Large data analysis software based on Hadoop for faster decision making for industry

IBM Infosphere Biginsights Both analyzes the traditional structured data in the database and analyzes the structured data so that the enterprise has the ability to make faster decisions. Its new features include built-in accelerators for analyzing data from digital infrastructure, helping businesses in retail, manufacturing, oil and gas, energy and utilities, medical, performance, and transportation industries to jiangong operational efficiencies, investigate security incidents, perform proactive maintenance, repair failures, and prevent outages.

Biginsights software provides built-in social media analyst accelerator to help marketers develop applications for customer acquisition and retention, optimize customer segmentation and marketing activities, and streamline the sales lead generation process. Marketers can also select multiple data sources and instantly create new applications without having to master Hadoop skills.

A big new feature of Biginsights is Infosphere Data Explorer. This new feature integrates IBM's acquired Vivismo technology with advanced data syndication capabilities. Regardless of the data source, this software automatically discovers the existing data and navigates the data, revealing the topic, presenting the relationship, confirming the value of the data and establishing the data usage situation.

The Hadoop data Analysis Reporting tool relies on IBM's powerful large data platform and seamless integration with Business analytics software. The Hadoop Data Analysis Reporting tool is used in conjunction with IBM Cognos BI and the IBM Cognos Consumer Insight to form a turnkey solution from data to dashboards for emotional analysis of social data. This allows more decision makers to benefit from large enterprise-level data.

IBM analytics software improves financial sector processes

In the face of increasingly complex and urgent regulations, compliance and performance reporting requirements, the Finance department needs to combine different types of data within the enterprise, as well as the narrative texts of regulatory documents such as filed forms, investor briefings, Treasury debt management reports, and operational audits. Currently, the Finance Department is engaged in labor-intensive work, creating many of the required reports manually. According to Hackett Group data, 82% of management reports are used as the primary tool for creating electronic reports. However, the creation process is time-consuming and error-prone, requiring repeated processes for each modification, increasing the risk level.

The new IBM Disclosure management is designed to address this complexity issue. This solution uses an interface similar to an electronic report to capture and analyze diverse financial statement data. It is characterized by not only meeting regulatory requirements, but also meeting the needs of financial monitoring, investor relations, Treasury, financial planning and disclosure.

For example, the use of this software can automatically form management reports and related content, in the past these jobs are labor-intensive manual operations. This software can also automatically create new report templates at the beginning of the financial reporting cycle, automatically create approval processes, and migrate data from related data sources to reports. Even with the latest changes in data, there is no need to work too much, because when this data changes, the software automatically matches the data points that are affected in all charts, slides, and text files, automatically implementing content upgrades. A large oil and gas manufacturer used this solution to achieve process improvement by reducing the working hours of accounting and finance professionals by 91%.