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As the influence of big data is becoming more and more obvious in all sorts of industries around us, we’re also starting to explore its connection to other fields. Six Sigma is an obvious candidate for this, being a methodology based mainly on optimization and the reduction of unnecessary work, while also ensuring that the overall process of the organization is as streamlined as possible. It’s not hard to see the implications of big data in that particular field, and we’re in fact already seeing some amazing results, with more coming up on the horizon fast.
随着大数据在我们周围各行业中的影响是越来越明显，我们也开始探索大数据与其他领域之间的联系。对于此，六西格玛是一个显而易见的候选领域，六西格玛是一种主要基于优化和减少不必要工作的方法，与此同时，其也确保组织的整个过程尽可能地简化。不难看出，大数据在这一特定领域的影响。事实上，随着更多的数据即将出现，我们已经看到了一些令人惊喜的结果。
以适当的方式减少浪费
Waste reduction is one of the most important points of Six Sigma, and having accurate metrics on a large scale can make this process very easy and straightforward, much more than one could achieve with regular manual work. There are many factors to consider in this, and companies typically take a more cautious approach when deciding to make cuts in any field, as this could potentially impact them in a negative way later on. Thanks to Six Sigma and the close attention it pays on data analytics and big data, it’s much easier to know that a particular cut is going to be beneficial to the organization, not the other way around.
减少浪费，是六西格玛最为重要的一点。在大范围内，拥有精确的指标可以使这一过程变得非常容易与简单，远远超过常规的体力劳动所能达到的效果。在这方面，有许多的因素需要考虑，公司在决定削减具体的开支领域时，通常会采取更加谨慎的方法，因为这可能会在此后会对公司产生消极的影响。正是由于六西格玛及其对数据分析以及大数据的密切关注，我们更容易知道特定的开支削减会对组织有利，而不是其他的方式。
为未来做出明智的决定
This extends to other fields of the company’s work too. Those running the organization can make much better decisions about how they want to drive it later on, knowing that they are based on solid data and not on market predictions. Plus, a company can usually know what to expect as a result from its actions more reliably, allowing it to take each step with a confident manner instead of spending lOTS of resources analyzing the impact of each action one by one.
这也延伸到了公司工作的其他领域。管理公司的人员可以在以后更好地决定如何推动企业，因为他们知道自己是基于可靠的数据，而不是基于市场的预测。另外，一家公司通常能够知道期望是什么，因为公司的行动更为可靠，其能够用自信的方式采取每一个措施，而不是花费大量资源逐个分析每一项行动的影响。
The results of those changes can be recorded for future analysis too, making the company even more flexible in the long run as it continues to build on its data sets. This is one of the main benefits of relying on big data for this type of analysis too – a company is not only working with accurate data sets that represent the work and results of other organizations, but it can also base its decisions on its own information gathered through the course of its experiments. That way, any changes made to the organization can reflect its internal situation much more accurately, instead of working with just raw market data.
这些变化的带来的结果，也可以记录下来供将来的分析，使公司能长期更为灵活，因为，公司继续以数据为基础。这也是依靠大数据进行这类分析的主要的好处之一-公司不仅使用准确的数据来象征其工作与其他组织的成果，而且还可以根据自身在实验过程中所收集的信息而做出决定。这样，对组织所做的任何变更都可以更准确地反映其内部的情况，而不只是使用原始的市场数据。
安全进行新探索
Last but not least, companies are much better equipped to take risks with the help of big data. It’s easy to know that one direction is safer than another when basing your decision on actual gathered data, and calculated risks become a regular part of the company workflow. This is related to what we mentioned above, but it applies on a much larger scale – the entire development of the organization as a whole. Entering new markets, developing new product, scaling up the offices and workforce – all of these decisions can be made more accurately and with regards to the current state of the organization when working with big data, and of course, when utilizing it accurately in the first place.
最后，但并非最不重要的一点是：在大数据的帮助下，公司更有能力承担风险。一旦决策是基于实际收集的数据，我们很容易知道某个趋势比另一个趋势更加安全，并且计算出的风险会成为公司工作流程的常规的部分。这与我们上面所提到的有关，但其在更大的范围内得以应用-整个组织的整体发展。进入新的市场、开发新的产品、扩大办公室和劳动力规模，所有这些都可以在处理大数据时得以更准确地做出决策。当然，在第一时间准确利用大数据，也可以考虑到组织当前的状态。
结论
There’s a lot to gain from the integration of big data into the workflow of a typical organization, and we’re still exploring the full range of benefits that it brings to the table. It’s important for every leader serious about the growth of their company to take a deep look into the field and see what it has to offer, as those who get on that train early on are the ones that are going to reap the biggest rewards in the future. And that future is not as far away as some might think, either.
将大数据整合到一个具有代表性的组织的工作流程中，可以获得很多的好处，而我们仍然在探索大数据所带来的所有好处。对于每个认真关注公司成长的领导者来说，深入研究这个领域并了解其所能提供什么，这是很重要的。因为，那些早点乘上大数据这列“火车”的人将在未来获得最大的回报，而未来也不会像一些人所想象的那样遥远。
资料来源：ply英语
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http://www.pinzhi.org/forum.php?mod=viewthread&tid=850
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http://www.pinzhi.org/forum.php?mod=viewthread&tid=851 |
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