Social Commerce Products. Big Data In Retail | UpstreamCommerce. Pingdom Website monitoring. Monitor your server and network uptime and performance for free. Web Analytics Consulting and Strategic Analysis Services from the Global Leader in Web Analytics Consulting. Big Data Analytics, MapReduce for High Performance In-Database Analytics, Deep Data Mining – Teradata Aster. Aggregate Knowledge « Everything You Need to Know Aggregate Knowledge. E-Commerce Essentials - KISSmetrics Documentation. Introduction Welcome to KISSmetrics! This handy guide will help you get started by showing you what we think are the best practice essentials for tracking E-Commerce data. KISSmetrics has helped many e-commerce businesses become successful by using customer analytics, and you too can join in on the fun!
Before you start tracking customer data with KISSmetrics, it’s important to think about what you need to know about your customers so that you can provide a better experience for them. An e-commerce business wants to move customers through four major stages in their lifecycle: Marketing/Acquisition - the customer arrives from various channels Pre-Purchase - the customer shops around for products, adds products to cart Purchase Process - the customer is checking out Post Purchase - the customer has purchased Here’s our recommended best practices for events and properties get started on tracking data for e-commerce businesses.
This guide will use the following format: Visited Site Ad Campaign Hit. Gnip - Providing Social Media Data for the Enterprise. Big Data – What Is It? While the term “big data” is relatively new, the act of gathering and storing large amounts of information for eventual analysis is ages old. The concept gained momentum in the early 2000s when industry analyst Doug Laney articulated the now-mainstream definition of big data as the three Vs: Volume. Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop) have eased the burden.
Velocity. Data streams in at an unprecedented speed and must be dealt with in a timely manner. RFID tags, sensors and smart metering are driving the need to deal with torrents of data in near-real time. Variety. At SAS, we consider two additional dimensions when it comes to big data: Variability. Complexity. Welcome to Apache™ Hadoop®! Journalists of the future need data skills, says Berners-Lee | Technology. The tax database, visualised. Will future journalists create this? Photograph: guardian.co.uk Are you ready to be a journalist of the future?
Better get your head wrapped around the idea of data, then, says Sir Tim Berners-Lee – who, you know, invented the world wide web (which as you also know is not the same as the entire internet). This morning at the release of huge tracts of government data about spending, a panel including Cabinet Office minister Francis Maude and Berners-Lee were asked who would analyse such data once the excited geeks had moved onto more interesting tasks (perhaps building the next Facebook). Berners-Lee's response: "the responsibility needs to be with the press. Journalists need to be data-savvy. "Data-driven journalism is the future," he concluded.
So – do you know what you need to know about working with data?