You may have heard many talk of Big Data. But
what Big Data means for you and your Business?
The important thing, how you can understand the benefits of Big Data to solve the problem quickly, accelerates innovation and drive growth for competitive advantage?
The potential of Big Data technologies found in the creation of business insights from massive amounts of data that have not been used in the digital world with the analysis.
To generate business insights, one must understand the changes in the data. The growth of data that is created as documents, photos and music downloaded etc are not new, but the surprise was the increase in growth.
IDC's latest annual study of the digital world has shown an increase of data doubles every 2 years until 2020. By 2020, IDC predicts that 62 % of the digital world will come from developing countries.
Even more surprising, the amount of information made on other people is greater than the information created for him. In addition, most of the new data generated unstructured.
Video, for example, is predicted entertainment will take 46.7 % of the data in the cloud in 2020. This means that more often than we know about the data, unless the data is distinguished or characterized thus creating metadata.
Consumption data by increasing mobility and users of smartphone and tablets, which do not have large internal storage and relies heavily on consumption information from the cloud, meaning almost 40 % of information in the digital world will be stored and processed in the cloud during its journey from the place of origin to point of disposal.
The importance of Big Data is data analysis and results of business insights that lead to smart decisions. While not all the data useful for the analysis of Big Data , some types of data was prepared for analysis , such as the patterns in the use of social media , relationships in the data from a separate study scientific , medical information relating to the data of sociology , security camera footage and so on .
Data and business insights to change the way we do business. Decisions based on data prepared to strengthen or weaken the human judgment and speculation, where managerial decisions are made or confirmed by predictive models and analysis of big data.
Business will run fine with adopting IT infrastructure faster, such as hardware, software, services, telecommunications and staff to be at the forefront of the competition, especially when the data are required for analysis of trends rather than looking for short publicity.
The investment cost per gigabyte declined because investment will drop from $ 2.00 to $ 0.20 and businesses will increase their IT investments by 40 % in 2020.
On the other hand, insights missed by the organization have a much higher cost in solving problems quickly, accelerate innovation and drive growth. The cost of data collection will be an investment, but that is not cost effective analysis will be higher.
Basic real-time insight to optimize and increase profits is Big Data infrastructure. Cloud computing helps expand the company's infrastructure in terms of flexibility and scalabilities are able to handle the increased volume and complexity of data. To maximize the potential business initiatives, Big Data needs to be run in all parts ranging from finance, purchasing and product development experience to the consumer.
Business must address the sharing of information and processes across the organization , because the challenge of information such as the volume , diversity , and the speed , security and governance issues , if not resolved , can slow down the organization in creating change , the project is difficult to control , improvement of internal organizational vision , risk business and IT operating costs are high .
With more efficiency in their infrastructure, IT administrators can focus on value -added initiatives such as the policy of '
Bring Your Own Device' (BYOD), Big Data analysis, efficiency for customers, security, etc.
An important part of the IT infrastructure includes human resources to process, analyze and use data effectively and insights. In connection with the growth of data, the number of servers (virtual and physical) around the world will grow by a factor of 10 and the amount of information managed directly by the company.
The data center will grow by a multiple of 14; meanwhile, the number of IT professionals in the world will grow less than a multiple of 1.5. In fact, in Asia Pacific, Gartner predicts that Big Data will be creation of more than 960,000 new IT jobs in 2015.
Lack of data scientist will make double challenge: create a data scientist we have to work as productive as possible, while we invest in training new Data scientist.
Democratization Big Data and analysis so that experts with relevant experience and understanding of the initiative to divide the value of the data set will reduce the scarcity of data scientist with specific IT skills and capabilities .
Innovation Launch Pivotal center recently presenting exciting opportunities to drive big changes in the way the data is applied in today's enterprise , utilizing the application , data and cloud technology , and at the same time supporting training programs and seminars so that workers understand the science data better .
Another problem that arises in this era is a lot of data that is not protected digital world. IDC estimates that one-third of the data protection needs (growing more than 40 % in 2020), to protect privacy, prevent espionage and theft and to comply with regulatory changes. Currently, only one fifth that has no protection and even less than that in developing countries.
Digital future we evolve and become increasingly mobile, so it will need more protection. Global information security laws and regulations to force the line, but the absence of a difference and will remain there. To that end, IT managers need a better understanding of information security to manage and differentiate geographic data query.
The role of IT in organizations increases responsibility for managing the storage, analysis, and delivery of cash petabytes; this requires understanding and collaboration through the organization.
Businesses that collect significant data must utilize these assets to maintain a competitive advantage and financial. Data scientist and analyst departments must produce actionable insights to evolve, so that the parties can show the results of the analysis of Big Data means will be sought.
The question that should be asked the company to himself is: whether the organization is ready to create, manage, and consume trillions of gigabytes of data? Businesses need to prepare the right balance of technology, IT capabilities, and security from now.
