5 Large data trends will change channel mode

In the big Data age, the two most popular technologies are storage and backup, including products and services. Enterprises utilize these devices and technologies to ensure that critical tasks, archiving, and data unstructured processing are completed when needed. But the problem with these technologies is that the data they keep is unhelpful.

In other words: Storing data makes the enterprise spend and in vain.

into the big data age, many vendors take advantage of large data trends to bring competing products and services to market. It is said that large data is just a repackaging of data mining and business intelligence analysis, to some extent, this is true. This also reflects the enterprise can no longer bear the cost of idle data.

Processing data is already a big business. According to Deloitte data, corporate software sales will exceed $27 billion trillion this year, with about One-fourth coming from large data, enterprise resource management and business intelligence.

The goal of large data is relatively simple: take advantage of the unused, non-profit data stored in the data to anticipate business trends, explore new opportunities, and drive higher levels of sales. In addition, big data is more about reducing risk while enabling business managers to better understand their business environment to make smarter and more accurate business decisions.

Solution vendors may consider large data to be addressed to large enterprises, academic institutions and government agencies. Today, this assumption may be correct. However, suppliers, including IBM, Oracle and Microsoft, are using devices and applications to drive business analytics and large data further down the market, making processing data and producing operational intelligence a simple task.

Large data is a big opportunity. Now it is the "big data wave" that dominates the market, and its reach and potential may even exceed cloud computing. In terms of channels, the sale of large data products, professional services and value propositions will have a far-reaching impact. The development of the following five large data will drive the channel's sales of technology and services over the next decade:

1, data consolidation, reorganization and cleanup means

Anyone who processes data and analyzes data must have the correct data and know where it is. Sounds reasonable, right? Unfortunately, the stored data looks like stacks of newspapers and empty boxes on the "hoarding" structure. So big data sales start with helping companies identify data, eliminate redundancy, optimize file systems, and ensure that information can be analyzed where it can be found. If there is no data, there will be no analysis.

2, hardware sales will channel large data

It seems that large data in the initial drive will be more hardware sales. Analyzing large volumes of unstructured data is a factor in processing power, storage capacity, and I/O speed. Solution vendors may find that enterprises-especially large enterprises-are thirsty for high-performance devices or clustered servers that can handle large data loads. Even if large data is provided as a cloud service, this will require the load of all analysis work to run on a large number of new hardware.

3, storage and business intelligence will merge

Storage and backup vendors usually love to discuss their performance, the protection of information and the use of power. Storage is about capacity and management efficiency, after all, storage and backup vendors and cloud file sharing services are developing the storage industry to reach partnerships or provide large data products and services. They realized that data could no longer sit firmly, and began to plan to consolidate and upgrade their current status as a provider of large data repositories, making the existing storage industry the basis for the birth of a new generation of large data. This will dramatically change the nature of the storage vendors and their channel architecture.

4, the need for security will pull large data growth

in today's cloud and distributed enterprise era, real large data requires open data storage to accommodate an increasing number of internal components, applications, managed resources, and third-party experts. As more and more people and automated resources come into contact with data, security risks and vulnerabilities will surge, and the security requirements associated with large data will grow in tandem, providing access control, identity authentication, data encryption, intrusion prevention, auditing and tuning services. At present, the demand for security technology has increased with the growth of cloud computing. In the next few years, large data will also be a catalyst for security technology and professional support, which is expected to have more than 1 million dollars in the security market.

5, Business Administration "becomes a service"

Big Data is about business, more specifically management-former GE CEO Jack Welch has a famous quote saying, "cannot be measured and cannot be managed." Large data has a better performance than the measurement and completes the predictive analysis. It is limited for large enterprises to demonstrate their skills and capabilities by doing such business by themselves. Today, they invest in analysts and quantitative experts, and tomorrow they will shift from technology and analysis to it solution providers. The solution provider, then, provides large data predictive analysis to reduceThe professional services of risk will open up a lucrative market in the next ten years.

(Editor: Lu Guang)