The Forbes website writes about the top ten business trends in IBM's eyes over the next decade

Absrtact: IBM has launched a new round of 8000 global layoffs, sparking speculation about its future strategy, and the Forbes website has written about the top ten business trends in IBM's eyes over the next decade, including mobile, social, data analysis

IBM has launched a new round of 8000-person global layoffs, sparking speculation about its future strategy, and the Forbes website has written about the top ten business trends in IBM's eyes over the next decade, including mobile, social, data analysis, artificial intelligence, etc. We can also get a glimpse of IBM's development strategy.

1. Customer service based on actual situation

IBM is developing the ability to connect employees, suppliers and partners, business processes to study and predict customer behavior, so that in the right place, time and circumstances for current and potential customers to provide targeted services, such as when the customer into the department store women's clothing area to send the recommended collocation and related discount information.

2. Effective collaboration with partners and suppliers offers a huge competitive advantage

In a recent study, IBM surveyed 1128 corporate purchasing directors in 22 countries and found that companies that excel in procurement work in close collaboration with key suppliers and partners, and often use procurement data analysis to save money and seek more favorable long-term supply contracts.

Continue to sell women's clothing in department stores as an example: if the data shows that a skirt is always sold without any accessories, and a popular fashion man in the customer recommended a pair of shoes to match the skirt, then the shopping mall procurement team to find suppliers, signing fashion talent to promote preferential information, And then provide information to the users in the market with the actual situation.

3. "Crowdsourcing" innovation can greatly increase profits

Or take the market as an example: shopping malls can be through a discussion and design contests and other forms of brainstorming, absorbing the wisdom of the masses, and then with partners and suppliers to carry out orderly cooperation, the selected design or product to market quickly.

4. Talent competition is the key

Whether the enterprise can become "Hundred years old Shop", a big key lies in the talented person. Future talent competition will be more intense, and the Internet for talented people to provide a wealth of work information, greatly increased the possibility of job-hopping. In order to help companies retain their troops, IBM is developing a "talent retention analysis" (Retention Analytics) solution to data analysis of the Enterprise brain drain model, which can help enterprises in the presence of excessive staff turnover and other abnormal conditions in time to take appropriate measures.

5. Companies need to focus on networking rather than just trading

The old patterns of advertising such as television, plane and radio ads are now becoming less effective, advertising spending is shifting to Google and SEO services, and future successful companies will collaborate with influential celebrities or experts, using data analysis to pinpoint every link in the customer's purchase process, For example, when a company is ready to launch a new product or promote an existing product, it first uses the data analysis to determine the right leads, and then persuade them to buy it with the help of someone who is influential or has established contact with the target customer.

6. Sales staff reduce marketing, enhance attractiveness

A recent study showed that 78% of the salespeople who liked socializing were better at selling than those who did not. Future salespeople use social data analysis to determine which network communities a potential customer will haunt, and then nurture relationships with these potential customers with carefully crafted content. The best salespeople develop their own "fan base".

7. Mobile business is not limited to technology companies

Data tools such as factual and Qualcomm's gimbal enable mobile applications to gain far more data than the user's location, which can help businesses anticipate potential customer action plans and provide the most appropriate life or business information, such as at a party based on the user's location, Time and social networks recommend potential customers that are worth contacting, or automatically offer future party coupons, party music packages, Uber calls, etc. IBM's voice service assistant Watson What would happen if you launched a mobile version?

8. Enterprises must be proficient in social media marketing

Kraft Foods has a series of social media campaigns on Oreo cookies in China: encouraging Chinese consumers to "twist, lick, soak" in online games with Oreo brand ambassador Yao Ming, and encourage mothers to share their "Oreo moments" in QQ space. Kraft and IBM say the social marketing campaign has been surprisingly effective – online gaming sites have hit more than 1.2 billion clicks and the "Oreo moment" in QQ space has exceeded 40 million in half a year, during which time sales of Austrian biscuits increased more than 80% per cent in China.

Social media marketing usually costs less and results better than traditional marketing methods.

9. Social Media Command Center helps companies respond and adjust in a timely manner

Few companies are monitoring social media conversations from a strategic altitude, and other departments outside of social media teams have a hard time finding out about social media data, which can make it difficult for companies to find the real cause of failed product launches. In the future, companies will generally set up social media command centers to establish rapid feedback and response mechanisms for corporate performance.

10. There will be no real artificial intelligence (AI) for the next 10 years, but the primary AI will assist in the decision making process

IBM's super computer Watson can help people make decisions, such as doctors can use Watson to assist in diagnosis and treatment--watson will synthesize the patient, family history, current treatment methods, research results, journal articles and other large amounts of information for data analysis, Finally, the possible diagnostic results and their corresponding probability sizes are listed. Of course, AI can also assist in the decision-making process in many fields such as business.