The NoSQL Movement Is Gaining Momentum, But What The Heck Is It?
The NoSQL movement is a combination of an architectural approach for storing data and software products (such as Tokyo Cabinet, CouchDb, Redis) that can store data without using SQL. Thus the term NoSQL.
Just came off the stage at PaidContent 2010, a day-long summit here at The Times Center near Times Square, dedicated to the question of if/how/when people will pay for content. The timing is good -- as I wrote in January, The New York Times is planning to charge for content within a year or so, Hulu is considering a subscription model (not necessarily in place of but, I believe, in addition to its free service), and the eBook pricing dilemmas are causing sleepless nights.
I opened the conference with a brief assertion that fretting over whether people will pay for content is based on a mistaken assumption: that people have ever paid for content in the past. They actually haven't. Instead, people have paid for access to content. But in an analog world, access was gated by physical form factors like vinyl, newsprint, and movie theaters. As a result, the coincidence of form factor and content made us believe that people pay for content.
But people have never paid for content. Even when a daily newspaper was a necessity for the average home, the dime you paid a day (in the 70s) for a newspaper did not cover the print cost, much less the reporting. Instead, it was classified ads and auto dealers who footed most of the bill. And the hours we spent on TV and radio every day through the last half of the last century until the explosion of cable in the 90s, were all free. When cable finally asserted itself, people did not pay per show or even by channel (with the exception of premium movie channels). Instead, they paid for overall access.
In the last month the Human Capital Management market has consolidated with Authoria picking up Peopleclick and SuccessFactors acquiring Inform. Both acquisitions add product functionality with little or no product overlap. But this doesn’t mean integration will be easy. There are plenty of challenges ahead.
Grocery shopping is one of the largest offline retail categories but our Technographics data shows that it has one of the lowest online retail penetration figures in the US: Less than 10% of online adults have purchased groceries online and only 16% of online grocery buyers purchase groceries online more than once a month.
The mobile channel is increasingly relevant in business strategies, application architectures and applications of financial services firms. Consequently, we are all aware that the headline represents a strong exaggeration. So, why this statement? Is there any substance in it that application architects, application developers, and enterprise architects need to consider? Interactions with a number of banks indicate that the answer is yes.
Thanks to all of you who have already sent me feedback about my first report on the challenges facing field marketers. See report.
It was based several meetings with field marketers over the last months. My next step is to do structured interviews with field marketing professionals over the next months to even better understand where the job is going and map roles, tasks and responsibilities in a priorities listing in my next report.
I had a few great conversations yesterday about the increasing role analytics will play in risk and compliance programs, which brought to mind the article, For Some Firms, a Case of 'Quadrophobia' appearing earlier this week in the Wall Street Journal and referenced yesterday by the NY Times’ Freakonomics blog.
The article covers a study of quarterly earnings reports over a nearly 30 year period, which found a statistically low number of results ending in four-tenths of a cent. The implication here is that companies fudge their numbers slightly to report earnings ending in five-tenths, which can then be rounded up... clever. Even more interesting, authors of the study found that these “quadrophobes” are “more likely to restate financials and to be named as defendants in SEC Accounting and Auditing Enforcement Releases (AAER)”... not clever.
The report encourages the SEC to enhance its oversight with a new department dedicated solely to detailed quantitative analysis that might catch this type of behavior. It also occurs to me that many corporations would like to identify such trends within their four walls to detect and prevent potentially damaging behavior.
Clearly, the cultural/human aspects of risk management and compliance – policies, attestations, training, awareness, whistleblowing, etc. – are essential. But as the number and complexity of business transactions continue to grow, companies will be looking more and more for ways to analyze massive amounts of data for damaging patterns and trends.
When a user of a BI application complains about the application not being useful - something that I hear way too often - what does that really mean? I can count at least 11 possible meanings, and potential reasons:
1. The data is not there, because
It's not in any operational sources, in which case the organization needs to implement a new app, a new process or get that data from an outside source
It is in an operational source, but not accessible via the BI application.
The data is there, but
2. It's not usable as is, because
There are no common definitions, common metadata
The data is of poor quality
The data model is wrong, or out of date
3. I can't find it, because I
Can't find the right report
Can't find the right metadata
Can't find the data
I don't have access rights to the data I am looking for
4. I don't know how to use my application, because I
Was not trained
Was trained, but the application is not intuitive, user friendly enough
5. I can't/don'thave time do it myself - because I just need to run my business, not do BI !!! - and
A common inquiry request to Forrester is asking for benchmarks for quality. Testing groups are struggling to figure out how well they’re doing and if the processes they’re fighting for are making a difference.