Cloud has become the norm in the development trend of data management in 2018

Driven by big data and artificial intelligence, the rise of cloud computing is accelerating, cloud computing will face huge data, and new technologies will develop rapidly, which will inevitably rely on data management platforms. Therefore, the escalation of regulatory measures, data management issues can not be ignored, we must always strengthen the defense system, free from security threats, the use of intelligent agents to achieve standardization of information exchange.

Living in today's rapidly evolving digital age, we are constantly getting data whenever and wherever we are, but mastering the available data is no easy task. More data brings more responsibility, but it means that corporate CIOs and IT managers need to be "strategic, and win thousands of miles away." Under the influence of ransomware attacks, the need for IT efficiency improvements, and the upcoming announcement of the GDPR regulations, IT managers have found data management increasingly difficult. How will data management develop in 2018?

The development trend of data management in 2018, Shangyun has become the norm

The rise of cloud computing, the cloud has become the norm

In recent years, driven by big data and artificial intelligence, the application of cloud computing has entered a prosperous stage. More and more enterprises are aware of the need to use cloud computing to rapidly expand the cloud market in the process of business model innovation. 2017 is a year of continuous cloud market expansion. More companies will migrate their workloads to the cloud in 2018, and data and system migration will face greater opportunities and challenges. For more and more enterprises, the use of the cloud will become more natural, and the hybrid cloud will become the most common infrastructure in the enterprise. In 2018, the cloud infrastructure will not change much, and it is expected that the increase in containers and security will continue to be the main focus. On the other hand, data management and security control in cloud computing, as well as hybrid cloud management that enables two-way data transfer between data centers and the cloud, will be a key aspect of improvement in 2018. Despite the economic and flexible advantages of cloud, data security (including data storage and data access) remains a major issue for the cloud. At present, the local cloud data protection method is too singular to meet the business and regulatory requirements of the enterprise. Therefore, the cloud needs a comprehensive data management platform. Many cloud providers are increasing the value of the cloud by providing more valuable services such as data management or data as a service.

Strengthen the defense system from security threats

In the past year, we have experienced the tremendous impact and threat of ransomware and natural disasters, and more and more companies are working on data recovery plans to ensure rapid recovery in the event of a disaster. In order to be more effective in defense, companies should develop strategies and plans in advance. This means that companies need to assess data security levels and related control and recovery plans, but this is not a quick and simple process. At present, there is no uniform standard in the world, so more companies tend to collect and integrate all data as much as possible. Commvault protects active data from the effects of data loss while ensuring complete, successful recovery. The data domain is constantly changing, and data protection, backup and recovery are the toughest challenges. In addition, it is important to categorize business applications and data to establish appropriate data management strategies. As far as data protection is concerned, data backup, recovery, and disaster recovery should be taken seriously and added to the data protection strategy as part of a sustainable business plan.

New technology is developing rapidly, relying on data management platform

IDC believes that the survival of the enterprise will depend on the ability to leverage powerful digital innovation platforms, encourage developers and innovator communities, and adopt innovative technologies such as distributed cloud, universal artificial intelligence, combinable application technology, and blockchain. . In the face of this huge transformation, enterprises must also respond positively. These innovative technologies are still being created to meet and meet our needs. Therefore, the focus of the company is to understand the goals and status of its supply chain and the priorities of business processes before deciding whether to carry out digital transformation. The opportunities offered by adopting these new technologies are obvious, but it is not easy to integrate smoothly and compliantly. More and more companies are beginning to realize this and have learned the importance and key requirements of a powerful data management platform (the above business intelligence/data warehousing).

This is especially true in the developer and innovator community, where software vendors enable more developers and businesses to use data management capabilities through RESTful APIs. At the same time, these new technologies are generating more and more applications and data types, more dispersed data type distributions, and a wider variety of infrastructure. Enterprises must fully cover and manage data through a more powerful data management platform to adapt to these new technologies.

Regulatory measures upgrade, data management issues cannot be ignored

As global banking regulatory measures continue to change, data management is becoming a growing concern for most financial institutions. The strengthening of regulatory measures reflects the need for privacy management by individuals and businesses worldwide, and each company needs to maintain a clear and comprehensive understanding of all data and treat it as a unified data layer. In the past, we accessed and retrieved data from the perspective of an application or business process, which was limited by the application infrastructure (or island itself). But now, data unification is increasingly important, not only in the traditional data warehouse or business intelligence field, but also in the front-end application and operational database level. Many companies lack relevant organizational (personnel), technology, and business process frameworks, so the risk of violating GDPR regulatory measures is high, resulting in high costs. In order to be fully prepared, banks need to be able to identify, control and collect all data stored in the enterprise from the outset, accessing and deleting as needed. According to Forrester, 80% of companies are unable to fully comply with the General Data Protection Regulations (GDPR). Although some banks do not fully meet the GDPR requirements, increasingly complex regulatory measures will generate more data, higher costs and With more complex infrastructure, banks need to extend data management to cover more data types and applications and enhance data security.

Standardization of information exchange using intelligent agents

In a customer-centric market, changes in rules can destroy once-solid business models. Some companies collect customer preferences, behaviors, transactions, and sentiment data through platform building and intelligent agents, combining complete user portraits to influence consumer choice and decision making. According to Forrester, consumers will spend $24 billion in 2018 to eliminate "noise" through intelligent agents, and consumption patterns will be directly changed by smart agents. The use of intelligent agents standardizes the exchange of personal information. There will be intermediaries in the field of information collection. From the direct way of the customer to the seller to the indirect way from the customer to the intelligent agent to the seller, although the data exposure cannot be completely eliminated, the risk can be greatly reduced. Companies need to think about how to create their own smart agents, or use this indirect communication to gather the information they need. In order to be able to collaborate and integrate with intelligent agents, the data management platform needs to be more open. Perhaps in the near future, in addition to "application awareness," there will be "intelligent agent awareness."

In 2018, the entire industry will face an intelligent and cloud-based upgrade. New technologies such as cloud computing, big data, and the Internet of Things are constantly emerging and integrated to build a new ecosystem. Commvault continues to innovate at the product and technology levels for user needs, providing the most comprehensive support for the technologies deployed by the enterprise (applications, databases, operating systems, public clouds, containers, big data platforms and storage infrastructure) to help users Successfully achieved digital transformation.

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