Thursday, March 14, 2013

Big Data Bubble and Big Data Future


Why we need to get Big Data course? Why we need to write the blog about Big Data? Because everyone is talking about data, big data, data analytics, and big data analytics, so as one part in the big “Everyone” group, we need to learn Big Data and get more familiar about it, but only “Know” is not enough, we should learn how to use it to analyze data and get more useful information from data. In the business world, marketing is a big “data” bubble, in a specific term, a “big data” bubble.

In marketing part, analysts, managers, consultants, and advertisers and so on, everyone who participates in marketing wants to get more information from the “big data” bubble. For example, three of the top ten predictions for CMOs by IDC consider a lot about data, the top ten predictions are firstly, the C-suite (CEO, CFO, and COO) will demand that the CMO produce both a strategy and a plan for how market-driven data will significantly contribute to corporate objectives; secondly, the CMO and the CIO will begin the year as functional peers and end the year as either friends or frenemies, and per the CEO, the CIO will become more actively involved with the CMO in all marketing automation decisions that have cross-functional implications; thirdly, the automation outlay could approach 10% of marketing's discretionary budget in 2013, with two-thirds of the total outlay coming from marketing and one-third coming from IT; for "best practice" organizations, this will shift to 50:50 by 2014; fourthly, even with their new partnership with the CIO, many CMOs will find that their positions are in jeopardy as they failed to produce a robust data analytics function — or even a game plan to get there; fifthly, starting in 2013, after the CMO realizes that he/she does not have the skill sets in place for data analytics proficiency, 50% of new marketing hires will have technical backgrounds; sixthly, eight out of ten companies will report that most social media initiative growth is taking place outside of marketing; seventhly, by the end of 2013, 5% of CMOs will shift to a "mobile first" strategy; eighthly, content isn't king — it's a wild beast; In 2013, CMOs will be pragmatic, shifting focus less on big platform projects and more on linking access to audience needs; ninthly, the demand for greater insight into the revenue impact of marketing and sales will require that older CRM systems be replaced, creating infrastructure disruption; finally, high-tech pipeline conversion metrics will continue to improve; expect a 20% improvement in target-to-deal ratios and a 10% reduction in time to create a customer, with both due to better automation and analytics-driven process improvement. So the three perditions are the first one, the fourth one and the fifth one.





While as the data is important, the big data develop widely and quickly in a short time, and the bubbly part of the big data comes out. Many companies and many businessmen begin to put lots of money into Big Data to follow the fashionable trend. In this trend, there is a real revolution from big data to big testing and big experience, and the real revolution in data is the change in organizational behavior and culture. With this kind of big change, there is no doubt that a large number of companies and enterprises will not satisfy with it, in the same time, the new competitors with fresh minds will come out to join in the business competition. Based on these situations, the core of the real revolution is data-driven, not simply data or data analytics, so what the organizations should do is connecting big data to big testing and big experience and change the analysis into action. The big testing includes testing big ideas, testing big team and testing big deal.



Data is fuel for the enterprises’ “Car”, with data, the enterprises can use the data, especially, the Big Data to operate better, in another word, putting big data in the enterprises or the other organizations will make people realize the potential and “big” power of Big Data.

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