Big data ready, how does the enterprise ready?

One conclusion from McKinsey's in-depth research, "Big data: The next new field of innovation, competition and productivity", is that big data is really a big deal, and it shows great potential in the research area of the report. The survey included five areas: health care in the United States, American retailing, European public institutions, global manufacturing, and global private data storage. The main description of large data can create new opportunities and cost-saving ways. In the face of massive data, how to analyze and effectively use its value, and optimize the enterprise business becomes the inevitable problem in the process of modern enterprise transformation.

So the blue giant in the face of the big data age, how to help enterprises through business analysis and optimization (BAO) to achieve more rapid development. Malcolm Gladwell the argument in the Tipping point that a single point of events accumulates to a critical level that will be the tipping point for a mass wave, which opens up a new page. In the field of business analysis and optimization is to achieve such a critical level, through the analysis and optimization of enterprise data to achieve a future business operation of accurate forecasting ability, is in the rapid development of the economic era must not be competitive and innovative sources of power.

In fact, the biggest challenges that most organizations and companies face in adopting business analysis and optimization (BAO) are not technical issues, and there are plenty of tools available on the market. IBM Emerging Markets Department information agenda Director Joyer Mascarenhas the most important challenge facing companies today is: First, does the company know what its current business metrics are? Whether they have a clear concept of this; second, whether they have the right data to manage the key metrics of KPIs after they have found the key business is the second challenge. Thirdly, it is a third challenge to be equipped with a competent staff to carry out this analysis. Finally, there are appropriate technologies for this work to help them get their work done. So, in the face of these challenges, how can we realize the value of massive data, have a kind of data insight, and turn it into a practical application?

When it comes to how companies use Bao to translate data insights into practical actions, Joyer Mascarenhas says the most critical point is being able to be prepared, meaning that there is no problem with the organization's capabilities, in terms of processes, and in very detailed preparation. In addition, a range of techniques are used to gain insights from technology, that is, bi or analytics. Another is the analysis of the path, Joyer stressed that initially no longer use the report, but to find key performance indicators, focus on Pakti, detailed analysis of the details, from the dashboard such tools for data analysis, to achieve predictive work.

In addition, enterprises are more to face an existing business optimization capabilities, rather than simple business analysis capabilities. Lu Weihuan, general manager of information management software at IBM Software group Greater China, explained: "Many customers start with bi or BA, which is just a starting point, not an end point." We have to do from the report to the optimization, to the future of SPSS such tools to predict the future trend, this is a process, is a continuous optimization, continuous development, continuous improvement of the system. ”