Filed under: Actionable Insights, Big Data, Business Intelligence, Marketing Automation, Revenue Performance Management (RPM)
The WordPress.com stats helper monkeys prepared a 2012 annual report for this blog.
Here’s an excerpt:
4,329 films were submitted to the 2012 Cannes Film Festival. This blog had 48,000 views in 2012. If each view were a film, this blog would power 11 Film Festivals
Click here to see the complete report.
Filed under: Algorithms, Analytics, Behavioural Targeting, Business Intelligence, Datarati, Web Analytics | Tags: Obama
Some of the millions of dollars raised by President Barack Obama’s reelection campaign could be used to build one of the most innovative internal data operations ever for a political campaign. Obama for America has been hiring data quants, and recently posted job openings for predictive modeling and data mining analysts, along with state data directors. The strategic approach to data inside the campaign could help it better integrate offline and online data gleaned from social media and other online interactions.
OFA is developing an in-house Analytics Department to be based at the Chicago campaign headquarters. Staff there will work with state data directors to be based in several states, according to a job posting on the OFA site. The Chicago office will also have data desks responsible for various regions of the country.
The campaign is also seeking predictive modeling and data mining analysts who would be responsible for developing statistical and predictive models to assist in digital media, as well as for fundraising and other media. The analysts will be expected to have experience with digital media, online advertising data, Nielsen, and Arbitron data, in addition to text data. The job description, posted on data mining resource site KDnuggets, notes that text mining and social media analytics “is a plus.”
“It points to an extraordinarily high level of data integration inside the Obama campaign,” said Alex Lundry, VP and research director at TargetPoint Consulting, a microtargeting and data mining firm that works with Republican candidates and organizations, including the Republican National Committee, Mitt Romney’s 2008 presidential primary campaign, and John McCain’s ’08 presidential campaign. “It’s a much more holistic view of the voter from a data perspective, and you don’t see many GOP candidates doing that,” he added.
More: http://www.clickz.com/clickz/news/2094531/obama-builds-team-inform-digital-ads-social
Filed under: #mktgcloud, Business Intelligence, Data, Datarati | Tags: Big Data
Mu Sigma, a startup that provides ‘decision sciences’ and analytics services to help companies make business decisions based on ‘big data’, has secured $25 million in Series C financing from Sequoia Capital.
Mu Sigma in a press statement says it currently employs some 1,200 analysts (and growing), mostly based in India, in an effort to build the world’s “largest applied math lab”.
Shailendra Singh, Managing Director at Sequoia, posits that Mu Sigma offers ‘the most impressive analytics service’ of any company the investment firm has met with over the years.
Headquartered in Chicago, Mu Sigma raised its first institutional venture money from FTV Capital back in 2008.
Filed under: #mktgcloud, Behavioural Targeting, Business Intelligence, Datarati | Tags: Cardlytics
Cardlytics, which provides solutions for transaction marketing within banking, this morning announced that it has raised $18 million in financing. New investors ITC Holdings and Kinetic Ventures led the round.
According to the press release, all of Cardlytics’ previous investors participated, including Canaan Partners,Polaris Venture Partners and Total Technology Ventures.
It’s unclear how much capital the company has raised to date.
National and regional retailers and service providers use Cardlytics’ transactional marketing platform to connect with consumers via online banking channels. This allows advertisers to use certain consumer transaction data such as purchasing history to accurately target people with offers that are highly relevant to them.
Its multi-channel approach includes online banking, SMS, email, mobile and social networks.
According to Cardlytics, financial institutions will be providing retail offers as rewards to over 10 million consumers based on their individual purchase behavior by next fall.
More: http://techcrunch.com/2010/08/16/cardlytics
Filed under: A/B Testing, Actionable Insights, Business Intelligence, Data, Datarati, Testing | Tags: A/B Tesing, Conversion Funnel, Multivariate Testing
RECOMMENDED Watch Now: http://whichtestwon.com/top-7-lead-generation-form-ab-tests
Attention All Sydney Data Miners,
The Pentagon’s new U.S. Cyber Command has embedded a 32-character string of secret code in its logo, causing a stir among bloggers and curious techies eager to decipher the veiled message.
The new military command was launched in late May to help centralise Defense Department efforts to protect its computer networks, which are under constant threat from attackers.
The command was created to frustrate everyone from run-of-the-mill hackers to foreign governments looking to steal sensitive information or crash critical, life-sustaining computer systems.
Here is the code: 9ec4c12949a4f31474f299058ce2b22a
My guess: USCYBERCOM Cyber defense and offense
More: http://www.smh.com.au/technology/technology-news/can-you-crack-the-pentagon-code-20100709-102×3.html
Sydney Data Miners: www.meetup.com/datarati
Filed under: #mktgcloud, Algorithms, Analytics, Business Intelligence, Data, Datarati, Predicitive Modelling, Statistics, Technology | Tags: Google Ventures, Predictive Analytics, Recorded Future
Google has invested in a startup company that claims to be able to predict the future.
The company’s investment arm, Google Ventures, has sunk an undisclosed sum into Recorded Future, a Cambridge, Massachusetts-based startup that “offers customers new ways to analyze the past, present and the predicted future,” according to a new Google VenturesWeb site that went live on Monday.
Recorded Future’s own Web site doesn’t list any products for sale, but the company appears to have developed a data analytics technology that could be used to try to predict future stock market events or even terrorist activity, according to blog posts and videos on its site. The technology looks at how frequently an entity or event is referred to in the news and around the Web over a period of time, then uses that data to project how it might behave in the future.
Filed under: #mktgcloud, Actionable Insights, Business Intelligence, CRM, Data, Datarati, Marketing Cloud, Research, Sydney Data Miners | Tags: Duncan Brett, eBay, Sydney Data Miners
Announcing a new Meetup for Sydney Data Miners!
WHAT: Meet Duncan Brett, – Business Analyst, Customer Insights Team at eBay Australia & New Zealand
WHEN: Wednesday, 7 April, 2010 5:45 PM – 7:00PM
NOTE **** CHANGE OF VENUE ****
WHERE:
University of Technology Sydney (UTS)
Building 10, Faculty of Engineering and Information Technology
Crn of Broadway & Jones Street
Sydney
Map: http://www.uts.edu.au/about/mapsdirections/bway.html
TOPIC:
With 1 of the largest data warehouses in the world eBay relies heavily on this rich source of information to target specific customers for promotions. 2009 saw a unique set of challenges for most businesses, eBay not excluded. Promotions was just 1 way eBay AU turned the business around in 2009 and ended the year posting results that the global business is calling ‘The Boomerang”. This presentation will aim to show analysts and marketers alike how our data warehouse was used to both target Buyers & Sellers pre promotion and also analyse the transactional activity post promotion in order to calculate ROI. In 30 minutes we will go through some examples of particular promotions, how the targeting was done, what were the objectives and ultimately how did we measure success.
Duncan Brett Bio:
With a total of 7 years experience in online analytics, Duncan Brett has been providing customer insights at eBay Australia for 3 years now. In a heavily data driven role Duncan uses a mix of technical & logical skills to solve problems presented to his team by a variety of business units within the company. As the go to person for customer insights, Duncan’s analysis covers everything from Buyer acquisition, category performance and customer segmentation.
DON’T MISS OUT!
REGISTER FREE NOW: http://www.meetup.com/datarati/calendar/12982473/
Filed under: A/B Testing, Actionable Insights, Algorithms, Analytics, Behavioural Targeting, Business Intelligence, Call Centre Data, Cloud Computing, CRM, Data, Datarati, Email Marketing, Lead Generation, Lead Nurturing, Lead Scoring, Loyalty, Marketing Automation, Multivariate Testing, Optimisation, Predicitive Modelling, Segmentation, Software as a Service, Statistics, Surveys, Technology, Testing, Web Analytics | Tags: Behavioural Data, Datarati, Elevator Pitch
I got asked this morning at an Ad-tech event in Sydney what our company ‘Datarati’ does in 30 seconds or less so here goes the elevator pitch:
Datarati helps smart marketers unlock the value of digital behavioral data, by allowing them to execute more personalised and effective email marketing and web personalisation through the use of a marketing automation database (MAD).
Today’s smart data-driven marketers use a MAD to leverage the wealth of demographic/profile data and implicit/behavioural data that online visitors and customers generate as they react to a company’s digital marketing campaigns and interact with its landing pages, microsites and websites.
By centralising all this data into a MAD, marketers can now access and have full visibility into all multi-channel campaign data including:
- Email Marketing data
- Paid Search data
- Paid Display data
- Landing Page, Microsite, Website data
- Social Media data (twitter, facebook, linkedin)
- Telemarketing data (customer service + support)
Why is this so exciting for marketers?
Well today, marketers are living in Excel Hell! They try to collect and collate multiple data sets in Microsoft Excel which are delivered to them by their multiple rostered agencies and or vendors.
With all of these data silios created how can marketers know which channels are most effective in driving leads, opportunities and ultimate conversions/revenue for their organisations?
With a MAD all of this data is centralised into one database where the marketer can execute digital campaigns from end-to-end including:
- Data Segmentation aka List building (Demographic + Behavioural) data
- Email, Form + Landing page creation & execution
- Data Scoring
- Data Nurturing (Drip based Acquisition, Retention, Loyalty Campaigns Campaigns)
- Data Testing / Optimisation
- Reporting & Analytics
- Integration into their CRM database for closed loop ROI reporting & analysis e.g. Salesforce.com, Netsuite, Microsoft, Oracle, Siebel, SAP, etc.
Oh and P.S you need no IT involvement or support as the MAD is delivered as Software as a Service (SaaS) over a web browser 
and payable by the number of records you have in your database.
I speak quickly, so there goes my 30 seconds
Also, we are holding the “DATA”‘ event of the year for all Digital Marketers and their Digital Agencies in Sydney in a few weeks time.
Email me if you’re interested in attending!
More: http://www.datarati.com.au
