Big data fuels the enterprise revolution

Big Data for the Enterprise Revolution_Data Analyst Exam

The new era of computing has arrived, and I don't think there's any doubt about it. We're seeing cloud computing, social media, the Internet of Things (IoT), and mobility, and some of these new technologies are changing the way we think, behave, and live every day. In the case of bringing a lot of convenience to ordinary people, some of these technologies have also brought a great sense of crisis to our enterprises and decision makers. In IBM's global CEO survey, we found that corporate CEOs have said that technology has become the most important factor affecting corporate decision-making in the next five years. When they feel the new technology and technology to bring a lot of business opportunities at the same time, many of them are also afraid of lagging behind these technology and technology, and thus missed the opportunity for future development.

And in the new era of computing, big data quietly become a new technology synonymous with the core of it? I would like to use a quote from John Naisbitt, management guru and author of World Megatrends, Asian Megatrends and Chinese Megatrends. Naisbitt's quote summarizes it: Big data is the next generation of natural resources, it is the first economy in human history, this economy is based on information such a key information, it is not only renewable but also self-generating, we want to run out of it is impossible, but we are at risk of being overwhelmed by it.

Top technology trends are affecting the new pattern of business competition, and many companies are sensitive to these developments and are constantly exploring how to utilize these technology trends to explore new business models and even change the pattern of industry development.

At the same time, a survey report from the IBM Institute for Business Value shows that most organizations are not ready for this. The report asked decision-makers at global companies to identify the technology trends that will most affect their competitiveness, and how prepared their organizations are for those trends. From the results of the survey, there are five trends that enterprise decision makers believe will affect the competitiveness of their organizations, which include the value-added of mobile devices, collaboration between ecosystems, the explosion of unstructured data, cloud platforms and solutions, and intelligently connected systems, and at the same time, the majority of the decision makers indicated that they have not yet made a mature response to these trends.

Transformative Technology.

Transformational change is imperative?

From CEOs around the world, more than 75% of the world's elite CEOs believe that in today's Internet age, a new talent strategy must be created, and that the traditional system of regulating employees with rules and regulations is outdated. In this new era, employees need to be able to fully collaborate and cooperate, and companies need to motivate employees through the value system. Share a small story, in March 2013 IBM in the global staff to do a "value brainstorming" activities, activities maintained for four days, our organizers use IBM's big data and collaboration platform, built a global social platform, more than 250,000 employees around the world to join such activities.

The event lasted four days.

Nearly 340,000 people visited the event, and there were nearly 130,000 posts. Our CEO, and her think tank at the same time using our own big data analytics technology, in-depth analysis of nearly 130,000 posts, through the conclusion of the think tank to help think tank together to develop how to around IBM's 3 core values to develop a new 9 points of practice, and in the employees to promote these 9 points of practice. Predictably, because the 9-point approach actually came from employee interaction, their own voices, it was natural to get maximum ****ing and recognition among employees.

CEOs from the world's best companies, more than 70% of them believe that in today's era, companies must build a very strong business analysis and insights capabilities, and then very deep understanding of your customers, to quickly respond to customer needs, to personalized service to win customers. For example, a customer from France, named Ou Shi Dan responsible for furniture supplies, they hope that through the analysis of online customer usage behavior, to help companies develop demand strategies for customer segments. In this process, they used IBM's solution, based on the analysis of online customers, combined with the existing database of basic customer information, improve customer profiles, and develop a personalized service plan for customer segmentation needs. This solution brings value to the enterprise: online growth of more than 50%; online revenue growth of nearly 17 times.

Big data drives industry innovation

Big data is not just a technical concept in our view, it is a business strategy for enterprises, based on information and data resources, and all industries are facing the challenge of big data.?

Government industry

We know that the government industry is very sensitive to some potential threats, we came into contact with a government customer needs to analyze the voice, and his demand is to reduce the analysis time from an hour level to a second level. After adopting IBM Big Data technology, they successfully reduced a 250TB query of sound data to 70 milliseconds, greatly enhancing the real-time response time.

Power industry

The power industry has a large amount of data, including data from the power network and so on. Therefore, the power industry has a very good soil for big data applications. Through research, we learned that an electric power company customer wanted to analyze petabytes of data values, from which we could find ways and means to better predict how to carry out power maintenance and how to improve production capacity. In the end, by means of big data technology using IBM's deep analytics appliance, the above analysis of these needs was accomplished in a matter of minutes.?

Medical industry

Using the technical means of big data, a hospital realized the real-time monitoring of the body data of premature babies, according to the analysis of these data, the doctor can find out 24 hours in advance of the premature baby's disease, this 24 hours for this type of patient is the difference between life and death, and the hospital through the use of big data technical means to make the previous impossible into possible.?

The retail industry?

We know that the retail industry for the inventory is very important, inventory management is often good or bad to affect its profit margins, we came into contact with a retail industry customers, they are not satisfied with the ability to query the inventory, so in the help of IBM, they improved the traditional data warehouse methods, the introduction of deep analysis of big data all-in-one to re-migrate and modeling, so that the query ability to improve their 80%. Their query capacity increased by 80%. The same in the stock securities, in telecommunications operations and other industries also have related cases.

Digging deeper into the value of big data?

We believe that big data is not just a technology or a product from a technical point of view, but an integrated platform that can help us and our customers manage data with four-dimensional characteristics, and gain insights from the four-dimensional characteristics of the data to help enterprises realize value. Some people think that big data is to buy some hardware to store the data is enough, but in fact, this is far from enough for the enterprise, an enterprise only from the value of big data, the data is really valuable to you, if it can not bring you any value, it is a pile of garbage.

Here's a look at some exciting big data scenarios. Constant Contact is an American company that focuses on email marketing, and its main business is to target 500,000 small and medium-sized businesses around the world. He wants to use big data technology to analyze 35 billion emails and extract information from them to help his business users develop accurate email push strategies, including the time period at which customers can send emails to get the best response, and so on. Ultimately, after utilizing IBM's big data technology, Constant Contact's analytics increased 40 times and customer email response rates increased by 15 to 25 percent. Currently, they are looking to further utilize big data technology to analyze the detailed information in reply emails, hoping to help clients find new business value growth points. We have made a summary of our customers' big data usage scenarios around the world and found five high-value big data application scenarios, which not only bring value returns to the enterprise and actually benefit revenue, but also are highly replicable big data application scenarios.

Big Data Exploration, Finding, Visualization, to better understand the current state of the business by understanding all the big data; Enhanced 360-degree customer view, integrating internal and external sources of information, to obtain a truly unified customer view; Security and Intelligence Extension, to reduce risk in real time, to detect fraud and to monitor network security; Operation and Maintenance Analytics, to analyze a wide variety of machine data to improve business performance; Data Warehousing Data Warehousing, which integrates Big Data and Data Warehousing capabilities to improve O&M efficiency. We believe that the adoption and exploration of big data for the enterprise, if only from the technical point of view to explore, only from the technical point of view to set up the project, so the value of big data for the enterprise mining is actually not enough, only the enterprise from the leadership to carry out a change, to change the new thinking can really promote the enterprise to use big data to carry out transformation and innovation.

In the process of the landing of big data, we found that big data technology to the business level of the enterprise to bring about change is very obvious, the enterprise in today's era of big data, is fully able to utilize some of the advances in science and technology to explore the internal driving force, to promote enterprise innovation and transformation.

So it's essential for the business side of the organization to participate in, and even lead, the big data transformation, and for the core decision makers of the organization to participate in, and develop, a big data strategy, along with their leadership and innovation.

The above is what I have shared with you about the big data to help revolutionize the enterprise, more information can be concerned about the Global Green Ivy to share more dry goods