Yes, government needs a lot of help. Todd Park, the US CTO, is a big believer in analytics and has started some analytics-oriented companies before he got into government. That's a good sign.
Also curious about the International Institute for Analytics. Benchmarking analytics excellence in enterprise seems a fascinating project. Is this very far advanced?
@Tom-Thank u very much for ur inputs.one final question-how can ordinary enterprises trust the apps on a General App store?doesnt it make more sense for the seller to have some sort of a demo/link on the app Store and the actual app is on their own website?
Nicole, the industries that need most help are the ones with low success rates on key decisions. For example, the film industry makes money on about 6% of the movies it makes. They need this badly. Some organizations, like Relativity Media, are starting to use analytics, and are much more successful. Other industries that need better decisions badly are venture capital and fashion.
aum007, I think that the data coming from mobile devices will spur more adoption. And in terms of people using them to view information within enterprises, they're leading to smaller, more focused "analytic apps" that help with a single decision and are simple enough to use on a smartphone
Tom, is there any one industry that you think would best benefit from analytics? Or, alternatively, is there a particular industry that you think could be doing a much better job using analytics than it is currently?
I think you're right, Lin Crampton--there will be analytics amateurs, analytics semi-professionals, and analytics professionals/data scientists--we need them all
Haha, Tom, very true. I'm usually stunned by LinkedIn's recommendations too. We had a LinkedIn data scientist on IE Radio not too long ago. Really interesting.
DHagar - I imagine that anyone who is good at data analytics could extract value from this skill professionally. Like computer programming, I imagine data analytics would remain both a specialization and a special skill we all need.
@tom-I was recently looking at some Skills wanted lists(in IT)-And Project Managers feature very,very highly.What do u think developers can do to master this skill better(other than simply get a PMP Certificate)!!!
Yes, and as a consumer I would be willing to trade off some privacy for good offers, but I seldom get any! I am very impressed, however, with LinkedIn's "People You May Know"--it's uncanny!
That makes sense, Tom. And with that in mind, then I understand why you support Do Not Track initiatives. There's no real sense in tracking people if meaningful insights aren't being derived from it, right?
Nicole, I think that it's really difficult to do a good job of targeted advertising or product offers. Doing it well would require that you know a lot about your customers, a lot about your products or offerings, and a lot about the purchase context--and most companies just haven't made the investment to master all that information. I wrote with some colleagues about this--primarily the "next best offer" topic--in a December 2011 article in Harvard Business Review.
Tom, With all of the analytics capabilities and all of the data that's out there, do you have any theories on why targeted advertising is still so bad?
@Tom-u should.The collusion plug-in generates some of the best data(in real time)-telling us who exactly is tracking us and for how long.The CEO of Mozilla had a good video on TED on this too.
fitzscott, I think the idea behind the "data scientist" term was that there needed to be a new term for the hybrid of programmer/hacker and quantitative analyst. I am not sure that's the best possible term, but we seem to be stuck with it for people who can work effectively with big data.
@Tom-I am sure u have heard abt Mozilla's new collusion plug-in? do u think it will freak ppl off and ensure a lot of data is no longer generated(which Companies need for the analysis)-Web-based.
DHagar, I am always happy to talk about my books! This one is called Judgment Calls: Twelve Stories of Big Decisions and the Teams that Got Them Right. It's just that--stories of how organizations went beyond the "great man" school of decision-making and used analytics, a participative decision process, social media, etc to make better decisions. The examples range from NASA to a couple of small businesses to McKinsey & Co.
I should mention that Tom's website is a great hub for learning about his books, articles and blogging (he's writing a Harvard Business Review blog). Grab the link for later browsing:
What's the rationale behind the term "data scientist"? It seems like all scientists have to collect & analyze data, understand statistical significance, etc. The software development part of the equation seems more significant. The term "social scientist" is already taken, but maybe this is along those lines - psychology, etc.
Sum007, the ERP vendors have discussed functionality that would embed analytical decisions into the flow of the ERP process--e.g., a lifetime customer value calculation into the order management process. But these capabilities have been slow to arrive. I think there are probably ways to do some of it on your own, but haven't heard much about it happening.
Ah I'm so glad to hear you say that, Tom. I get so annoyed when I see "sentiment analysis" studies coming from groups who analyze Tweets and Facebook posts.
Kim, I agree that sentiment analysis is a crude tool that gives only a crude approximation of what people are saying and thinking about a brand or product. Right now it may be easier to do it with a group of interns rather than an automated tool!
To DHagar--I have found that most organizations already have some managers who are believers in analytics--the best solution is to find them and try to work with them to expand the base and prove that analytics can make a difference.
Thanks again for the interview Tom. I did want to get around to asking you about sentiment analysis. That seems still to be a fairly crude tool. Any sign of people getting that right in the future?
What's the rationale behind the term "data scientist"? It seems like all scientists have to collect & analyze data, understand statistical significance, etc. The software development part of the equation seems more significant.
@Nicole: Marketers who refuse to respect the privacy of the target market make me want to slap them. Marketers who refuse to adequately use the infor they have also make me want to slap them. I think I should invest in a slapping device.
Everyone, we'll ask as many of your questions as we can on air. But no matter what Tom will answer them here on the board after the interivew if we don't get to them during the show.
A second question, how does he recommend or envision that we incorporate analytics into jobs to more widely utilize analytics throughout the organizations?
It is my opinion that marketers earn the privilage of accessing information. We have to offer something of value for it, or make the process a valuable service for the target market.
Are there "levels" of analytics....i.e. things that are associated under a broad catagory that the analysis of gives building trends, reducing trends and change measurements vs the single yes no questions of analysis in the past?
New York's Metropolitan Transit Authority is conducting a pilot test of digital kiosks to guide subway users to where they want to go more efficiently and at lower cost.
The whole Amazon.reader debate is a double-stupid. It's stupid to think that there's any e-book buyer who doesn't know Amazon's URL, and it was stupider to let ICANN launch the whole free-form TLD initiative to start with.
While NFC's original goal was to enhance mobile commerce applications, it is finding its way into a number of other uses, which is creating both opportunity as well as challenges for IT departments.
Enterprises would like to move to cloud computing but are hesitant because they are concerned about providers’ ability to secure company data. Here are some tips that help to ensure that if breaches occur, the business is not left holding the bag.
Edmunds separates customers into segments based on the info it collects on its site and from partners, and uses that to push out custom content, said Brian Baron, director of business analytics for Edmunds.com, at Predictive Analytics Innovation Summit.
The automotive website uses propensity modeling to target ads and customer registration forms, said Brian Baron, director of business analytics for Edmunds.com, at Predictive Analytics Innovation Summit.
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