Eight trends in big data
Trend 1: Resourcing of data ?
What is resourcing is that big data has become an important strategic resource of concern to enterprises and society, and has become a new focus of competition. As a result, enterprises must develop a strategic plan for big data marketing in advance to seize the first opportunity in the market.
Trend 2: Deep integration with cloud computing
Big data cannot be separated from cloud processing, which provides elastic and expandable infrastructures for big data, and is one of the platforms for generating big data. Since 2013, big data technology has begun to closely integrate with cloud computing technology, and it is expected that the relationship between the two will be even closer in the future. In addition, the Internet of Things (IoT), mobile Internet and other emerging forms of computing will also come together to fuel the big data revolution, allowing big data marketing to make a bigger impact.
Trend 3: breakthroughs in scientific theory
With the rapid development of big data, just like computers and the Internet, big data is likely to be a new round of technological revolution. The accompanying rise of data mining, machine learning and artificial intelligence and other related technologies may change many algorithms and basic theories in the data world, realizing breakthroughs in science and technology.
Trend 4: The establishment of data science and data alliance
In the future, data science will become a specialized discipline, which will be recognized by more and more people. Major universities will set up specialized data science majors, which will also give rise to a number of new jobs related to it. At the same time, based on the data as a basic platform, will also establish a cross-domain data **** enjoyment platform, after which, the data **** enjoyment will be extended to the enterprise level, and become a core part of the future industry.
Trend #5: Data leakage proliferates
The growth rate of data leakage incidents in the next few years may reach 100%, unless the data can be secured at its source. It's safe to say that in the future, every Fortune 500 company will face a data attack, whether they've taken security precautions or not. And all organizations, regardless of size, need to revisit today's definition of security. More than 50 percent of Fortune 500 companies will have a chief information security officer position. Organizations need to take a new approach to securing their own data, as well as that of their customers, and all data needs to be secured from the moment it is created, not at the last point of retention, where strengthening security measures has proven to be ineffective.
Trend #6: Data Management Becomes a Core Competency
Data management becomes a core competency that directly impacts financial performance. When the concept of "data assets are the core assets of an enterprise" has taken root in people's minds, enterprises have a clearer definition of data management, which has become the core of their core competitiveness, sustainable development, and strategic planning and utilization of data assets. The efficiency of data asset management is significantly positively correlated with the growth rate of main business revenue and sales revenue; in addition, for enterprises with Internet thinking, the proportion of data asset competitiveness is 36.8%, and the management effect of data assets will directly affect the financial performance of enterprises.
Trend #7: Data quality is the key to BI success
Enterprises that adopt self-service BI tools for big data processing will stand out. One of the challenges to be faced is that many data sources bring in a lot of low-quality data. To succeed, organizations need to understand the gap between raw data and data analytics to eliminate low-quality data and get better decisions with BI.
Trend 8: Data ecosystem compositing intensifies
The world of big data is not just a single, giant computer network, but an ecosystem comprised of a large number of active building blocks and multiple participant elements, including end-device providers, infrastructure providers, network service providers, network access service providers, data service enablers, data service providers, network service providers, network access service providers, data service enablers, data service providers, touchpoint services, data service retailers, and a series of participants **** together to build the ecosystem. Now, the basic shape of such a set of data ecosystem has been formed, the next development will tend to the role of the system within the subdivided, that is, the market segmentation; the adjustment of the system mechanism, that is, the innovation of the business model; the adjustment of the structure of the system, that is, the adjustment of the competitive environment and so on, so that the data ecosystem composite degree of gradual enhancement.
The above is what I shared with you about the eight development trends of big data, more information can be concerned about the Global Ivy to share more dry goods