Accenture: Translating big Data insights into results

As data volumes grow, infrastructure faces a breakthrough, and the opportunities that big data faces are the biggest challenges. In the recent convening of the Third World Data Forum, Accenture Digital, data management and analysis business global Sensible general manager Sagi Usman said, Big data is to meet these challenges, the data into results for the enterprise application.

From the storage of focused structured data to the analysis of mobile data; from the previous serial way to obtain the source of information directly to obtain the new data source, from the data application to the scenario analysis to the continuous data mining unknown; View predefined reports and dashboards from before to now agile, self-service http:// www.aliyun.com/zixun/aggregation/12238.html "> Data visualization; From the analysis of data silos and applications to the use of data as an application platform, these are also large data to make the role of data constantly in the metamorphosis.

So for an enterprise internally, better use of data, business services for the enterprise, get a good harvest, and thus enhance ROI.

Sajid says the big data includes five major themes, which are to gain value by combining e-mail, images, and internal data from different sources in mobile data. These steps include: releasing data from the application, finding cost-effective data for analysis, combining different data into contextual content, combining internal data to gain unique value, and ultimately bringing innovation through large data.

Fool's Gold: But in this challenging process, it is not easy to achieve. The first key challenge is how to find your gold.

It is as if you have a heap of gold, and in others ' eyes you seem to be absolutely rich, but you will not use it and waste the good resources in your hands.

The same is true of data, but you don't know how to find the relevance from these single, irregular data, and you don't get value.

Discover Gold: How does Big Data help you find your golden value? In this regard, Accenture has been working with a European company to analyze it with internal family data.

Of course, do not underestimate this part of the family data, which helps to analyze the relationship between family members, preferences, and more importantly, this part of the data can be extended.

With this part of the data, you can study the family members ' preferences of the family, and then develop the data in the small social circle of the family, and analyze who is the leader of the group.

Digging gold: From Discovery to achievement. Sajid says large data analysis must combine business processes to ensure learning, test what you learn and apply it, and then return the ability. This step, it is also to let you out of the laboratory, so that large data really apply to the work.

Sajid says these apps are really going into our lives, leveraging large data discovery technologies, driving business processes and making recommendations that can drive the company's value today.

He cites social networking and social media analysis as an example, starting with data: 60Tb raw data, 15B records, and 50M data lines. This data is then used, based on a three-part study of social behavior, device use, and browsing in all interactive accounts, to determine the results of the analysis: determining the 53M of communication data that affects the network, and the 140M relational data, directly helping to reduce the cost of 10% and increase the response rate by 20%.