2014 China Big data overall market research report

PPT Overview:

Large data value: not only as a core asset, but also as a business sector

Data-driven decisions

In the past: Simple summary results data, second-hand information, senior management decisions, and so on, only subjective and experience of the market assessment and formulation of strategies.

Large data Age: through the collection, analysis of a large number of internal and external data, intelligent decision-making, to develop more effective strategy.

Data driven process

Past: Passive thinking Mode: Problems, logical analysis, finding causal relationships, proposing solutions.

Large data Age: Active thinking Mode: Collect data, quantify analysis, find out the influence relation, propose optimization plan.

Data-driven Products

In the past: the data collected by the enterprise was packaged and authorized for other service companies to add value to the data.

Large data Age: Leverage data to make existing products more efficient, intelligent, or insightful, generating additional revenue directly or indirectly.

Large data assets: gradually recognized by the enterprise, but still in the initial stage, and raised the challenge of management

1, large data deployment is still in the primary scale, most enterprises are still not deployed or small deployment

As of 2013, 56.31% of the enterprises in the large data investment is still concentrated under 500,000, 1 million yuan and more investment accounted for 26.12%.

Enterprises to consider or have deployed large data nodes, select 5 and the following nodes more than 10 nodes within 60%.

2. Large data raises challenges to management

Employees can use the big data analysis results from the first line to overturn the intuitive judgment of senior executives.

If the large data is improperly used and violates the user's privacy, or the result is wrong due to the data quality and rationality, it will cause more serious error of enterprise decision.

Rapid growth in data volume

Cloud computing services and cloud applications are supported by cloud platforms, allowing large industry data to be preserved and processed.

Mobile internet can collect users ' information more accurately and faster, such as location, life information and other data.

Social networks provide a large number of UGC, content, audio, text information, video, pictures and other unstructured data began to appear.

The continuous application and development of the Internet of things has led to a large increase in data.

Development trend of large data industry

1, the data ecosystem complex degree strengthens

• The subdivision of the role within the system, i.e. the segmentation of the market

• The adjustment of system mechanism, namely the innovation of business model

• System structure adjustment, that is, the adjustment of competitive environment

2, data management to become the core competitiveness, direct impact on financial performance

• Significant positive correlation between data asset management efficiency and main business income growth rate and sales revenue growth rate

• For enterprises with internet thinking, the proportion of data assets competitiveness is 36.8%, the management effect of data assets will directly affect the financial performance of enterprises.

3, the control of the core elements of the industry leading data ecological system

• Control the main ecological chain of the data ecology through the large data of the core elements of the industry, and realize the Take-off again in the digital economy era

Analysis of key investment areas in the 2014

From the perspective of investment value, the new type of human-machine interactive model wearable equipment, the new "friend Union" model and database software, SaaS and application software, the highest reverse sales data, from the investment performance, SaaS and application software, private cloud, database software, the largest internet of things.

In combination with the above factors, Enfodesk, a think-tank, thinks that the key investment areas in 2014 will revolve around the application software of business intelligence solutions for the segmented industry and SaaS service providers, database software, new human-computer interaction mode, new "alliance" mode and other related enterprises.

Investment analysis of large data industry: investment risk

Market risk

The ownership of the data is not clear, the data asset-type enterprises private ownership of the platform data, restricting the integration and development of large data.

The popularity of private cloud and cloud services is too low.

Companies cut their IT investments and government-backed funds at a lower risk than expected.

Technical risk

Further improvement in data accuracy requires a large amount of manpower to process data by writing programs and manually selecting them. With the diminishing marginal utility of input, the higher the requirement of data validity, the cost of input will multiply or even exponential.

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