Filed under: Data, Security, Technology, Visualisation | Tags: Nicola Roxon, Swine Flu Data, Sydney Airport
Tomorrow morning I am off to Sydney airport to pick up my parents who’ve been in the USA (California and Florida) for the past two weeks.
Look what they have to look forward to…
Thermal scanners will start screening travellers for high temperatures at eight of Australia’s international airports this afternoon to help prevent swine flu from entering the nation’s borders.
Health Minister Nicola Roxon announced the measure in Melbourne this afternoon in response to the WHO’s warning that a pandemic was imminent.
1.) First of all, pick the number of times a week that you eat out. (more than once but less than 10).
2.) Multiply this number by 2 (just to be bold).
3.) Add 5.
4.) Multiply it by 50.
5.) If you have already had your birthday this year add 1759.
If you havn’t add 1758.
6.) Now subtract the 4 digit year you were born.
You should have a 3 digit number.
The first digit of this was your original number. (i.e. the number of times you eat out per week).
The next two numbers are…. YOUR AGE!
I came across this very cool company and thought I would share it with readers.
Youcalc offers an on-demand analytics platform for businesses and private users.
Business users can build and run custom analytics apps (sales analytics, marketing analytics, financial reporting, HR performance, etc.) on top of on-demand/SaaS applications. Current solutions cover analytics for salesforce.com, SugarCRM, Highrise CRM, Google AdWords, etc., and more systems and solutions are added each week.
Businesses pay a monthly per user subscription fee, which gives access to build and run any number of analytics apps on any number of data sources.
youcalc offers private users free access to build and run analytics apps and widgets on most public data sources (Google Finance, eBay, Amazon, etc.), allowing users to create and share interactive chart widgets that analyze sports data, politics data, financial data, etc.
youcalc apps can run anywhere – inside iGoogle, inside salesforce.com, in a blog, on a Facebook account, etc.
Good Data, a startup founded in the Czech Republic and with headquarters in San Francisco, has closed a second round of financing – $2.5 million from Marc Andreessen, Ben Horowitz, OATV and General Catalyst. The company has now raised a total of around $4.5 million in capital.
You don’t see a lot of startups coming out of Eastern Europe, and even fewer who receive Silicon Valley capital. But founder Roman Stanek is an exception and a highly fundable individual. He sold his first startup, NetBeans, to Sun for $10 million and his second, Systinet, to Mercury Interactive/HP for $105 million. And like his previous startups, Stanek has perfected the running of a tech company with operations in both the U.S. and Prague.
Good Data is disrupting a highly lucrative multi-billion dollar market – data analytics. This is a sector dominated by huge software companies like IBM (via their Cognos acquisition), SAP (via Business Objects) and Oracle (via Hyperion). Companies pay hundreds of thousands of dollars for the software, plus large yearly maintenance fees. And now Good Data is offering a cloud based solution. For free.
Too see more about the service check out the demo videos here.
Judah Phillip recently posted a great story on why web analytics tools fail.
Several factors cause disconnects between the promise of a tool and the successful use of a tool, which cause a tool to fail:
- Inability to customise to business needs. As sites adopt more and more AJAX, Flash, and Web 2.0 technologies like video, social media, and RSS, many Web analytics tools do not have features necessary to track these new media. The catalyst for change comes when the business desires to track events on the site and can’t using the current tool, so the company begins to search for a new tool that can.
- Training. A corporation must hire or train people who understand how to use a tool. It doesn’t always follow that because someone knows how to use Tool X, they can easily move over to using Tool Y. If a corporation doesn’t budget both the time and money to extend its team’s ability to use a tool, the tool will not be effectively wielded and will wither on the vine. It’s important to allocate resources to ensure your staff has the most current training available; otherwise, the tools you have could be considered useless because they can’t be employed effectively, which leads to the exploration of alternatives and the subsequent purchase of other tools.
- Lack of analytical resources. Not a tool problem per se, but this issue reflects itself in an inability to quickly and agilely respond to business requests to extend the tool, provide data, or, worse yet, analyze the data. If a company can’t dedicate sufficient resources to using and extending a tool and analyzing the data collected, a business can quickly conclude the tool, rightly or wrongly, has little to no value and seek alternatives.
- Too much aggregated data. Most Web analytics tools provide cumulative sums of data at the visit level. They will tell you “you have had X instances of Y.” What most tools won’t tell you is how a particular visitor or groups of segmented visitors behave on the site. For those companies that want to do targeted email campaigning based on understanding visitor level data or evaluating the performance of ad campaigns on a per campaign ad creative basis based on visitor behavior, many web analytics tools just can’t meet that business requirement. Or, the analytics tool may require multiple applications that weren’t purchased to fulfill the vision.
- Inordinate complexity. The idea of analytics tool deployment and extension being “easy” is somewhat of a joke in analytic’s circles. The difficultly and complexity in taking full advantage of a web analytics tool is in how you extend it to meet your business needs. And many tools make it less than intuitive or in the worse case way too hard to extend a tool across an enterprise — from challenges with page tagging, to orchestrating changes to page tagging, to QAing tags and reports, to building out a custom schema to requiring the configuration and integration of additional applications to deliver against requirements . When these things go wrong, companies get frustrated and seek alternative solutions often abandoning a tool in the process.
Filed under: Data, Visualisation, Web Analytics | Tags: Google Analytics, Jeff Veen, WikiRank