- Statistics is Dead – Long Live Statistics!
- How to Handle Business Analytics with Vague Goals?
- Exploring Data Warehouse Augmentation – A Top Big Data Use Case
- Delivering Smarter Customer Experiences in Media & Entertainment
- Big Data Philosophies: More Practical than You Might Think
- Are we headed for a platform change for Big Data?
Tom Davenport, Research Director of the International Institute for Analytics, Visiting Professor at Harvard Business School and Senior Advisor to Deloitte Analytics, writes in the Wall Street Journal Blog that companies seek an integrated rather than siloed approach to Big Data:
We studied the Big Data activities of large, well-established businesses—companies like United Parcel Service Inc. , Wells Fargo & Co., United Healthcare Products Inc., and other giants. All are doing something with Big Data, but large volume, high velocity, and unstructured data in those organizations must be integrated with everything else that’s going on in the company. Overall, we found the expected co-existence; in not a single one of these large organizations was Big Data being managed separately from other types of data and analytics—it’s all blended together.
He goes on to describe Big Data as a paradigm shift, and emphasises the transition organisations will need to make:
Even though it hasn’t been long since the advent of Big Data—a decade or so for online firms, and less for big companies in other industries—these attributes add up to a new era. Some aspects of this new world will no doubt continue to emerge, but organizations need to begin transitioning now to the new integration of big and small data. The new model means change in skills, leadership, organizational structures, technologies, and architectures. Together they comprise the most sweeping change in what we do to get value from data since the 1980s.
- Extreme Data Science
Extreme data science is a way of doing data science to deliver high value very fast. It can best be compared to extreme rock climbing, where individuals managed to climb challenging peaks in uncharted territory, in minimum amount of time with a small team and small budget, sometimes successfully using controversial climbing routes or techniques. For instance, Reinhold Messner climbing the Everest in winter, alone in…
- Smart Data Scientists Virtualize Data
- Could Business Computing Be Done by Users without Technical Experience?
The business computing always occurs in enterprises, which plays an important role in enterprises operations, and mainly handled by the business users. The key business computing is usually characterized with timeliness and weak predication. There is no ready answer in the ERP, CRM, and other business systems. For example, find out the materials whose inventory level is below the warning limit for 3 consecutive days in the recent 2 weeks. Among those materials, which are used to produce the…
- Sentiment Analysis and the Customer Experience
In our last #CXO twitterchat guest, Seth Grimes, founder, and a principal, of Alta Planta Corporation, led the conversation as we discussed “Sentiment Analysis and the Customer Experience.” Here are some of the nuggets from that conversation.
Data changes our socity and can be applied in all fields. Data is not only interesting to business. This is a video about data and art. Other intersting field I find great for data is comedy. I mean what is more hillarious than reality 🙂
But now more about big data and art:
A vending machine that dispenses snacks when there is bad news is one of the creations for an art project that asks questions about what data means to society. WSJ’s takes a look at how “big data” can be used to make art and social commentary. Enjoy
Do you know great facts about data or funny big data applications?