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Growth and market benefits of Big Data
The Big Data past a necessity of the first order, and at the same time, committed to encouraging future for those wishing to venture into this business. At least, this is how paints it a recent study which estimated that only this market could be achieved gains of up to $ 17 billion in 2015.
You are expected to 2015, these solutions generate around $ 16,900 million, approximately 40% of annual growth, if you take base 2010 in which generated $ 3.2 billion. The markets, of storage will become more important in the coming years, estimating a 61.4% annual growth, followed by server 27.3% and 34.2% software market.
Companies have realized that the only way to gain competitive is having capacity to process its greatest asset, which is the information generated by the company itself.
The BD is composed of clusters of data in dimensions and complexities that are beyond the capability of the technologies commonly used to capture them, manage them and process them at an affordable price and within an acceptable time. To further identify these 'digital productivity', can be divided into large data of commercial transactions (past and present) and large data interactions, as for example, the emergence and overcrowding in social media, call records, and so on.
Definition of the Big Data analysis
IG Data and advanced data analysis are not new, but their combined lies its success. The latest in trend number one being the TDWI members in regard to the analysis of Big Data and the practice of Business Intelligence (BI) has to do with two things:
· Big Data will soon be measured in petabytes not terabytes.
· Advanced analysis methods applied to the data.
Benefits of Big Data. Business of big data
Big Data increases the speed of business processes in companies making that decision-making can be much faster for what I was doing up to that point. Processes that previously took days, are now performed in seconds, allowing the birth of new business with Big Data.
Huge storage allows historical data (it is not necessary to pull data for lack of space) and be able to process them with the new customer data. Analytical development times are reduced to minutes, which makes it possible to take more decisions and act more quickly, for example decisions for marketing or prices.
Big Data provides new and improved tools to satisfy the customers, because that can offer a personalized attention in a greater and better of the knowledge-based. Other features are: improve the anti-fraud and measures reduce the portability towards the competition.
In summary, the benefits of Big Data are:
Allows a greater understanding of customers. The response of a company towards your customer is individualized, which makes it possible to create brand fans. Further customization and better user experience, thereby increasing the returns of the campaigns. Models of customer / business dynamic, implying a very quickly in the decision-making process of the business.
The big training dates
Absolutely critical to the success of any project of Big Data is the ability to define, understand, manage and contextualize data from many sources in many formats. It's a challenge that applies to the knowledge of a job description that is alien to the majority of IT departments. Required processes or business management training to identify the Organization's requirements and data more relevant. A data scientist not simply collects and generates data reports, but also analyses them from many angles, determines its meaning and then recommends ways of applying them.
The power of data quickly
A crucial element of the Big Data is the rapid acquisition and analysis of data, characteristics that are rare in any system you described with the word "Big", say the Big Data systems need to be easy and quickly adaptable, rather than being constrained by the development cycles of 18 to 24 months typical of most of the projects of data. For example, it should be possible to make changes to the type or the data source in cycles of three to six months.
To maintain relevant analyses of Big Data, the data contained therein must be fed to the analytical system at the same time it enters the production system, or immediately afterwards. To achieve this, Big Data projects managers must Excel in the creation of prototypes of new systems or changes to existing systems, as well as establishing processes for data sampling as they collect and verify their quality.
Visualize the future
The evolution in the Big Data analysis will move at the same time the users and the technologies mature. According to the survey conducted by TDWI, the area of highest growth for the analysis of data is: advanced data visualization, the use of animations and visualizations of data for everyday life. Many casinos use the technique to see how the money is invested through its plants in the game, instead of using static graphs or pie charts. Another trend in the data analysis includes a series of panels that measure growth rates in real time, in-memory databases, text messaging and the cloud.
In recent years there was a real change in the way of thinking that companies on the data they have, they now see it as a valuable resource. There is an increasingly marked attitude in organizations that need to use the information to create products based on data, only that can now do so in greater detail and with greater statistical value. The analysis on Big Data came to stay and to provide the possibility of transforming a technical problem in a real business opportunity.
Business of big data
As one of the biggest innovations in the year 2010, SAP launched HANA (High-Performance Analytic Appliance), which mixed hardware and software and technology that promises analytics in real-time of large amount of data. Companies such as Lenovo, Colgate-Palmolive and Basf use this technology. With regard to entry in the market for this technology, many users of the database and analytical HANA solution could improve processing speed in 20 times. This has been a growing interest by HANA, customers who have purchased it may have an analysis quick and take actions in favour of the profitability of their businesses.
big data progress