Filed under: Algorithms, Analytics, Sydney Data Miners | Tags: Sydney Data Miners
Today we reached a significant milestone at the Sydney Data Miners (http://www.meetup.com/datarati). We have officially reached 1,000 active members!!
Founded in 2007, the Sydney Data Miners group was set up to have informal meetups with those involved in all aspects of data mining from natural language processing, artificial intelligence, web mining and search engines to computational linguistics.
In 2009, and with just 200 members, the group was acquired by Datarati.
Throughout 2010, Datarati hosted events with senior executives from Optus, eBay, Neilsen Online and IBM. In 2011 Datarati hosted senior executives from Tobii, Deloitte Analytics, Altis Consulting, Accenture, Panalysis & CBS Interactive. In 2012 Datarati hosted senior executives from Flink Labs, Ansell, Effective Measure & Salesforce.com
In 2013, the group is already been off to a flying start with professors from the University of Technology, Sydney and industry executives from Freelancer.com
Today, our members are involved in all aspects of the data, analytics and optimisation world, from data mining to regression analysis to predictive modelling.
This group is managed by Datarati http://www.datarati.com.au
Georgia resident Andy Morar is in the market for a BMW. So recently he sent a note to a showroom near Atlanta, using a form on the dealer’s website to provide his name and contact information.
His note went to the dealership—but it also went, without his knowledge, to a company that tracks car shoppers online. In a flash, an analysis of the auto websites Mr. Morar had anonymously visited could be paired with his real name and studied by his local car dealer.
Read the full Story here: http://online.wsj.com/article/SB10001424127887324784404578143144132736214.html
Wolfram Alpha, the “computational knowledge engine” that quietly handles a large number of queries from Apple’s Siri, launched a new feature today that allows you to quickly get an overview ofall your data on Facebook.
The new report,says Wolfram CEO Stephen Wolfram, expands Wolfram Alpha’s “powers of analysis to give you all sorts of personal analytics.” The company plans to expand these reports with new features over time, but they already give you a pretty deep look at your Facebook habits.
CLICK HERE TO ANALYSE YOUR FACEBOOK PROFILE DATA: http://www.wolframalpha.com/input/?i=my+facebook&stopcache=1
Filed under: Analytics
As the software-as-a-service market continues to mature, there are companies emerging that are targeting specific sectors within the enterprise with solutions especially tailored and priced for them: the latest of these is InsightSquared, which has announced a Series A round of $4.5 million for its a business intelligence platform aimed specifically at small and medium-sized businesses.
The round was led by Atlas Venture, with participation also from NextView Ventures and new investors Bessemer Venture Partners and Salesforce.com. This brings total funding in the company since February 2011 to $5.5 million.
As part of the news, InsightSquared is also announcing that it is integrating with Salesforce for the latter company’s visualization services to be integrated into the service.
Other services included in InsightSquared fall firmly in the category of data analysis — typically the kind used by large enterprises and now becoming more affordable and accessible to smaller businesses, by way of the SaaS business model. They include activity tracking (dashboards to track activity from employees and clients in real-time, with trending options); sales forecasts; data quality monitoring (identifying, ranking and fixing data errors); ratios and KPIs; nightly emails; employee scorecards ranking each worker against his peers; tagging and filtering and integration with other data sources (eg voice tracking with M5 Networks); financial tracking and web tracking (with Google Analytics).
These services are offered in packages that begin at $99 per month, says the company.
On the heels of acquiring sales data analytics company Varicent last week, Big Blue is making another buy in the data space today— Vivisimo. Financial terms were not disclosed.
Vivisimo, which has raised $6 million in funding, launched as a spin-off from Carnegie Mellon and applies clustering technology to enterprise search. Vivisimo provides enterprises with search software that helps organizations access and analyze big data across the enterprise.
Vivisimo products are available for standalone search applications or as OEM versions embedded within partner applications and solutions. The software automates the discovery of data and helps employees navigate it with a single view across the enterprise.
In this presentation, Professor Peter Fader illustrates a remarkably simple but powerful model to predict future repeat purchasing patterns in a standard spreadsheet environment. The particular focus here is on non-profits trying to project donations, but it’s broadly applicable to many other B2B and B2C companies as well. Beyond the performance of the model, this talk also offers useful insights about data management and managerial diagnostics for model assessment.
Professor Fader also discusses the gap between academic research and industry use of marketing data. As the Co-Founder of the Wharton Customer Analytics Initiative, he shares how this initiative uses an innovative crowdsourcing process to develop new statistical methods and apply them across a wide range of industries.
Filed under: Analytics, Datarati, Datarati.TV, Video, Web Analytics | Tags: Google Analytics, Video
In this presentation, delivered by Thomas Davenport at the eMetrics Marketing Optimization Summit San Francisco 2011, we learn ways to manage analytics at an enterprise and how we can relate to decision-making in this environment.
Tom Davenport starts by discussing the different type of people involved in this process: Web Analysts, Business Intelligence, Conversion Optimizers, HR Analysts, and others. He also provides examples on which companies and professions are embracing analytics.
Following, we learn about a research he made where company executives were interviewed on how they make decisions and how they improve decision-making on their companies. From the techniques described, the ones that seem to stand out are the use Analytics for planning and learning from error.