What companies know about Big Data?
Companies that employ based on the analysis of big data strategies margins up 20% in revenue , penetration and retention.
The solutions offered by the big data providers should focus on broad technology where the key data storage management functions and control points are natively integrated , based on an architecture where information travels smoothly without any problem .
Finally and very important to carry out a big data solution , it requires a portfolio of services throughout the implementation process.
This concept refers to the IT cluster data whose size has become too large to be stored , controlled , manipulated and analyzed in software , systems and traditional methods that companies use every day.
This great information and big data is generated by users and by the same machines that are creating large compendiums of structured and unstructured translated into image data , video, social media mentions , emails , web pages, or any financial transactions additional information generated by the same computer equipment.
To address the big data , new technologies in data storage, connectivity and greater computing power enable companies to retain , store and analyze vast amounts of information, since only analyze some of this data is of little value to the company in relation to corporate decision-making , innovation and competitive actions .
Through the management of big data , companies are in a position to have good results , favorable business forecasting models , mitigate risks and promote innovation. A recent Gartner report noted that the greatest strategic value of the company due to the technology provided in data analysis considered by CEOs.
Fundamental strategies
By 2015 85% of organizations have not implemented meaningful solutions to address large volumes of data and analysis, therefore do not have as big ally control data to be more competitive.
The key strategies to keep the IT vendor in front of big data are based on three elements:
• Minimize the time and resources required for the design, implementation and support of solutions.
• Establish a pragmatic approach phases and suitable for each of the organizations pace.
• protection and efficient use of existing IT investments.
The software and services
Storage platforms should have reduced costs to retain large volumes of information with simplified management and seamless scalability , while the data must be accessible .
The software for big data should be a tool to make rich and complex analysis Terabytes and Petabytes levels , with high performance data processing packages , profitable and easy to scale
It needs to provide consultation workshops , consulting, design and implementation to clients , to understand big data from their own infrastructure needs and future requirements as a company.
Large customers have to avoid at all cost solutions that are ” one size fits all ” . For big data products with specific product recommendations and implementation plans tailored applications is.
The priority also provide advice in the areas of IT decision-making , to understand the solution as a return on investment.
Finally , the range of services focused on big data should include a total solution development and full implementation in the production plan , a comprehensive project management reports and next steps .