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  • Good open source analytics/stats software in PHP?

    - by makeee
    The url shortening service I'm building needs to display some basic click stats to users: # of clicks, conversions, referring domains, and country (filterable by a date range). I'll possibly want more advanced stats in the future. Is there existing open source software that will allow me to pass events to it and then easily display a bar or line graph of that event (for example, a line graph of "conversions" between two specified dates). It seems like something like this should exist and would be much easier then building the whole thing from scratch. I know there are graphing scripts, but that still requires me to format the data (usually as an xml file) and then pass it to the graph. I'm looking for something a bit more complete, which I can just feed the events and then it does everything else.

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  • discrepancy in google analytics pageview totals when tracking subdomains

    - by frabjousB
    We are using the old urchin.js and are tracking 2 subdomains under the same profile. We have a “track subdomains” advanced filter defined (as per http://www.google.com/support/googleanalytics/bin/answer.py?hl=en&answer=55524) as well as 2 segments for presenting data in the reports: hostname matches exactly subdomain1.domain-name.com and hostname matches exactly subdomain2.domain-name.com When I apply these segments to our Top Content Overview report, the All Visits total for PageViews does not correspond to the # of visits reported for each subdomain. For example: All Visits = 53 subdomain1 = 24 subdomain2 = 32 Is there any reason as to why we would be seeing this discrepancy in numbers?

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  • Big Data&rsquo;s Killer App&hellip;

    - by jean-pierre.dijcks
    Recently Keith spent  some time talking about the cloud on this blog and I will spare you my thoughts on the whole thing. What I do want to write down is something about the Big Data movement and what I think is the killer app for Big Data... Where is this coming from, ok, I confess... I spent 3 days in cloud land at the Cloud Connect conference in Santa Clara and it was quite a lot of fun. One of the nice things at Cloud Connect was that there was a track dedicated to Big Data, which prompted me to some extend to write this post. What is Big Data anyways? The most valuable point made in the Big Data track was that Big Data in itself is not very cool. Doing something with Big Data is what makes all of this cool and interesting to a business user! The other good insight I got was that a lot of people think Big Data means a single gigantic monolithic system holding gazillions of bytes or documents or log files. Well turns out that most people in the Big Data track are talking about a lot of collections of smaller data sets. So rather than thinking "big = monolithic" you should be thinking "big = many data sets". This is more than just theoretical, it is actually relevant when thinking about big data and how to process it. It is important because it means that the platform that stores data will most likely consist out of multiple solutions. You may be storing logs on something like HDFS, you may store your customer information in Oracle and you may store distilled clickstream information in some distilled form in MySQL. The big question you will need to solve is not what lives where, but how to get it all together and get some value out of all that data. NoSQL and MapReduce Nope, sorry, this is not the killer app... and no I'm not saying this because my business card says Oracle and I'm therefore biased. I think language is important, but as with storage I think pragmatic is better. In other words, some questions can be answered with SQL very efficiently, others can be answered with PERL or TCL others with MR. History should teach us that anyone trying to solve a problem will use any and all tools around. For example, most data warehouses (Big Data 1.0?) get a lot of data in flat files. Everyone then runs a bunch of shell scripts to massage or verify those files and then shoves those files into the database. We've even built shell script support into external tables to allow for this. I think the Big Data projects will do the same. Some people will use MapReduce, although I would argue that things like Cascading are more interesting, some people will use Java. Some data is stored on HDFS making Cascading the way to go, some data is stored in Oracle and SQL does do a good job there. As with storage and with history, be pragmatic and use what fits and neither NoSQL nor MR will be the one and only. Also, a language, while important, does in itself not deliver business value. So while cool it is not a killer app... Vertical Behavioral Analytics This is the killer app! And you are now thinking: "what does that mean?" Let's decompose that heading. First of all, analytics. I would think you had guessed by now that this is really what I'm after, and of course you are right. But not just analytics, which has a very large scope and means many things to many people. I'm not just after Business Intelligence (analytics 1.0?) or data mining (analytics 2.0?) but I'm after something more interesting that you can only do after collecting large volumes of specific data. That all important data is about behavior. What do my customers do? More importantly why do they behave like that? If you can figure that out, you can tailor web sites, stores, products etc. to that behavior and figure out how to be successful. Today's behavior that is somewhat easily tracked is web site clicks, search patterns and all of those things that a web site or web server tracks. that is where the Big Data lives and where these patters are now emerging. Other examples however are emerging, and one of the examples used at the conference was about prediction churn for a telco based on the social network its members are a part of. That social network is not about LinkedIn or Facebook, but about who calls whom. I call you a lot, you switch provider, and I might/will switch too. And that just naturally brings me to the next word, vertical. Vertical in this context means per industry, e.g. communications or retail or government or any other vertical. The reason for being more specific than just behavioral analytics is that each industry has its own data sources, has its own quirky logic and has its own demands and priorities. Of course, the methods and some of the software will be common and some will have both retail and service industry analytics in place (your corner coffee store for example). But the gist of it all is that analytics that can predict customer behavior for a specific focused group of people in a specific industry is what makes Big Data interesting. Building a Vertical Behavioral Analysis System Well, that is going to be interesting. I have not seen much going on in that space and if I had to have some criticism on the cloud connect conference it would be the lack of concrete user cases on big data. The telco example, while a step into the vertical behavioral part is not really on big data. It used a sample of data from the customers' data warehouse. One thing I do think, and this is where I think parts of the NoSQL stuff come from, is that we will be doing this analysis where the data is. Over the past 10 years we at Oracle have called this in-database analytics. I guess we were (too) early? Now the entire market is going there including companies like SAS. In-place btw does not mean "no data movement at all", what it means that you will do this on data's permanent home. For SAS that is kind of the current problem. Most of the inputs live in a data warehouse. So why move it into SAS and back? That all worked with 1 TB data warehouses, but when we are looking at 100TB to 500 TB of distilled data... Comments? As it is still early days with these systems, I'm very interested in seeing reactions and thoughts to some of these thoughts...

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  • What is the best Apache logs Analyzer?

    - by Evgeny
    What real-time log analyzer can you suggest for Apache access and error logs? There is a list of web analytics software on wikipedia, but it would be great to hear opinions from people with experience without having to try all of them. Please don't suggest Google Analytics or any other hosted/javascript analytics suites, already using them, GA is not real-time and it is missing some data that the logs show. For example 404 errors, script errors, the full query-string of the referral, IP addresses, visitor path through the website, etc ...

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  • More details on America's Cup use of Oracle Data Mining

    - by charlie.berger
    BMW Oracle Racing's America's Cup: A Victory for Database Technology BMW Oracle Racing's victory in the 33rd America's Cup yacht race in February showcased the crew's extraordinary sailing expertise. But to hear them talk, the real stars weren't actually human. "The story of this race is in the technology," says Ian Burns, design coordinator for BMW Oracle Racing. Gathering and Mining Sailing DataFrom the drag-resistant hull to its 23-story wing sail, the BMW Oracle USA trimaran is a technological marvel. But to learn to sail it well, the crew needed to review enormous amounts of reliable data every time they took the boat for a test run. Burns and his team collected performance data from 250 sensors throughout the trimaran at the rate of 10 times per second. An hour of sailing alone generates 90 million data points.BMW Oracle Racing turned to Oracle Data Mining in Oracle Database 11g to extract maximum value from the data. Burns and his team reviewed and shared raw data with crew members daily using a Web application built in Oracle Application Express (Oracle APEX). "Someone would say, 'Wouldn't it be great if we could look at some new combination of numbers?' We could quickly build an Oracle Application Express application and share the information during the same meeting," says Burns. Analyzing Wind and Other Environmental ConditionsBurns then streamed the data to the Oracle Austin Data Center, where a dedicated team tackled deeper analysis. Because the data was collected in an Oracle Database, the Data Center team could dive straight into the analytics problems without having to do any extract, transform, and load processes or data conversion. And the many advanced data mining algorithms in Oracle Data Mining allowed the analytics team to build vital performance analytics. For example, the technology team could remove masking elements such as environmental conditions to give accurate data on the best mast rotation for certain wind conditions. Without the data mining, Burns says the boat wouldn't have run as fast. "The design of the boat was important, but once you've got it designed, the whole race is down to how the guys can use it," he says. "With Oracle database technology we could compare the incremental improvements in our performance from the first day of sailing to the very last day. With data mining we could check data against the things we saw, and we could find things that weren't otherwise easily observable and findable."

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  • Why are 20% of keywords still provided when Google is using HTTPS across the board?

    - by Rajesh Magar
    Most of the searches that appear in my analytics are "not provided" because Google has encrypted their all searches. However, if all search results are now encrypted with HTTPS protocol then how is Google analytics still able to track some (20%) of the organic keywords details? There are still some keywords appearing in my organic keywords section. So how did Google analytics do this tracking? Does it bypass the HTTPS restrictions for the referrer?

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  • Has anyone had issues with Google Analyticator authenticating?

    - by Marc Benzakein
    I'm using Analyticator on a site and am having an issue. I am getting an error (see below) when I go to authenticate from the settings panel on Analyticator. The structure on this is a bit different and I think that's what is causing it. The website is on a subdomain which is hosted on a different server than the top-level domain. The analytics account on google only has the subdomain listed. Is it possible that the reason for the error is that the primary domain either: A. doesn't have an Analytics account or B. does have an Analytics account but it is not linked to the Analytics account of the subdomain? The page you have requested cannot be displayed. Another site was requesting access to your Google Account, but sent a malformed request. Please contact the site that you were trying to use when you received this message to inform them of the error. A detailed error message follows: The site "http://xxxxx.com" has not been registered.

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  • Microsoft Silverlight Analytics Framework - Day 2 Part 2 of MIX 2010

    - by GeekAgilistMercenary
    I went to the session on Microsoft Silverlight Analytics Framework (MSAF) today while here at MIX 2010.  It was a great walk through the features, ideas, and what the end goal is.  Michael Scherotter did a great job of lining up the ideas, intentions, and the functional ideas behind the framework. The framework is built around the Silverlight Behaviors.  If you aren't sure what behaviors are, check out these entries from Nikhilk.net Silverlight Behaviors, Silverlight 3 Drag Behavior, An Introduction to Behaviors, Triggers, and Actions, and of course the MSDN Documentation on the matter. Some of the key features of the framework is to support out-of-browser scenarios, which works perfectly with out Webtrends DX Web Services.  Offline scenarios, which again, we have worked toward supporting at Webtrends DC Web Services via caching and other criteria as needed.  Another feature that I was really stoked about is the Microsoft Expression Blend integration that removes the need for coding, thus simplifying the addition of analytics components based on events or other actions within a Silverlight Application.  This framework also easily supports A/B Testing (again, something we do quit a bit of at Webtrends with Webtrends Optimize. The last thing I really wanted to point out was the control support that this framework has support in already from Telerik RadControls, Smooth Streaming Media Element, and Microsoft Silverlight Media Framework Player 1.0.  These are implemented with behaviors and handlers exposed via MEF (Managed Extensibility Framework). All in all, great second day, great analytics framework for Silverlight, and great presentation.  Until tomorrow, adieu. For this original entry and all sorts of other technical gibberish I write, check out my other blog Agilist Mercenary.

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  • OpenWorld Session: BPM Analytics - Process Dashboards, BAM and Intelligent Optimization

    - by Ajay Khanna
    Blog Contributed by Payal Srivastava, Oracle Product Mamagement   Margin of error for the business is shrinking dramatically. Business needs to accomplish more with less i.e. minimal investment with quick ROI. Learn how you can leverage Oracle BPM suite and complementary technologies to create a robust analytics capability to provide visibility into operations to  C-level executives and Operational managers. We will talk about BPM analytics options available today that will not only enhance the visibility but allow you to intelligently optimize the business process at design time as well as run time.  The session will share some exciting this on our roadmap.  Come meet with the Oracle team members  from Product Development (Avinash Dabholkar , Eric Hsiao) and Product Management (Payal Srivastava) at the session. We would like to hear  your questions/comments about  our offering and roadmap. BPM Analytics: Process Dashboards, BAM and Intelligent Optimization, Moscone South 308, 10/3/12 @11:45am – CON 8598

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  • EMEA Analytics & Data Integration Oracle Partner Forum

    - by Mike.Hallett(at)Oracle-BI&EPM
    MONDAY 12TH NOVEMBER, 2012 IN LONDON (UK) For Oracle Partners across Europe, Middle East and Africa: come to hear the latest news from Oracle OpenWorld about Oracle BI & Data Integration, and propel your business growth as an Oracle partner. This event should appeal to BI or Data Integration specialised partners, Executives, Sales, Pre-sales and Solution architects: with a choice of participation in the plenary day and then a set of special interest (technical) sessions. The follow on breakout sessions from the 13th November provide deeper dives and technical training for those of you who wish to stay for more detailed and hands-on workshops. Keynote: Andrew Sutherland, SVP Oracle Technology Hot agenda items will include: The Fusion Middleware Stack: Engineered to work together A complete Analytics and Data Integration Solution Architecture: Big Data and Little Data combined In-Memory Analytics for Extreme Insight Latest Product Development Roadmap for Data Integration and Analytics Venue:  Oracles London CITY Moorgate Offices Places are limited, Register from this Link {see Register button at bottom right of page}. Note: Registration for the conference and the deeper dives and technical training is free of charge to OPN member Partners, but you will be responsible for your own travel and hotel expenses. Event Schedule During this event you can learn about partner success stories, participate in an array of break-out sessions, exchange information with other partners and enjoy a vibrant panel discussion. Nov. 12th  : Day 1 Main Plenary Session : Full day, starting 10.30 am.     Oracle Hosted Dinner in the Evening Nov. 13th  onwards Architecture Masterclass : IM Reference Architecture – Big Data and Little Data combined (1 day) BI-Apps Bootcamp  (4-days) Oracle GoldenGate workshop (1 day) Oracle Data Integrator and Oracle Enterprise Data Quality workshop (1 day)   For further information and detail download the Agenda (pdf) or contact Michael Hallett at [email protected].

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  • Basic Google Analytics Click Tracking and/or Overview

    - by Alan Storm
    This is a really basic Google Analytics question. Apologies in advance if it's not appropriate here, but I've had a lot of luck on Stack Overflow and this seems like the best Stack Exchange site for a question like this. I'm trying to understand how Google Analytics goals work, or if they're the right feature to be using for my situation. Most of the documentation I find online refers to the old version of the UI, not the new one. I have a website, let's call is blog.example.com. This website drives traffic to an ecommerce store, let's call that store.example2.com. I want to get reports on which links from blog.example.com are being clicked through leading to store.example2.com. How do you do this in Google analytics? Are goals the right area to be looking? Do I setup the goals on store.example2.com or blog.example.com? Or both? Is there any canonical user guide (free or paid) that covers how this works? I'm a competent programmer, but it's years since I dealt with conversion tracking on any serious level, and we've progressed well beyond my frozen caveman pixel tracking knowledge. Thanks in advance

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  • Google Website Optimizer: track AJAX

    - by Jorre
    I am tracking AJAX goals in Google Analytics with no problems. But I would like to use Google Website Optimizer to see what buttons or headlines get the most leads in our newsletter subscription form. Since a new subscription only triggers AJAX/Javascript, I cannot add a separate success/thankyou.html page to track in Google Website Analyzer. There is not much to find in Google's documentation about this. Has anyone been able to do this?

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  • How dangerous is e.preventDefault();, and can it be replaced by keydown/mousedown tracking?

    - by yc
    I'm working on a tracking script for a fairly sophisticated CRM for tracking form actions in Google Analytics. I'm trying to balance the desire to track form actions accurately with the need to never prevent a form from not working. Now, I know that doing something like this doesn't work. $('form').submit(function(){ _gaq.push('_trackEvent', 'Form', 'Submit', $(this).attr('action')) }); The DOM unloads before this has a chance to process. So, a lot of sample code recommends something like this: $('form').submit(function(e){ e.preventDefault(); var form = this; _gaq.push('_trackEvent', 'Form', 'Submit', $(this).attr('action')); //...do some other tracking stuff... setTimeout(function(){ form.submit(); }, 400); }); This is reliable in most cases, but it makes me nervous. What if something happens between e.preventDefault();and when I get around to triggering the DOM based submit? I've totally broken the form. I've been poking around some other analytics implementations, and I've noticed something like this: $('form').mousedown(function(){ _gaq.push('_trackEvent', 'Form', 'Submit', $(this).attr('action')); }); $('form').keydown(function(e){ if(e.which===13) //if the keydown is the enter key _gaq.push('_trackEvent', 'Form', 'Submit', $(this).attr('action')); }); Basically, instead of interrupting the form submit, preempting it by assuming that if someone is mousing down or keying down on Enter, than that form is submitted. Obviously, this will result in a certain amount of false positives, but it completely eliminates use of e.preventDefault();, which in my mind eliminates the risk that I might ever prevent a form from successfully submitting. So, my question: Is it possible to take the standard form tracking snippet and prevent it from ever fully preventing the form from submitting? Is the mousedown/keydown alternative viable? Are there any submission cases it may miss? Specifically, are there other ways to end up submitting besides the mouse and the keyboard enter? And will the browser always have time to process javascript before beginning to unload the page?

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  • Oracle lance « Financial Analytics for SAP », une application de Business Intelligence destinée aux clients de SAP

    Oracle lance « Financial Analytics for SAP » Une application de Business Intelligence destinée aux clients de SAP Est-ce la volonté de pousser le bras de fer qui l'oppose à SAP à son paroxysme qui a poussé Oracle à lancer une nouvelle application de Business Intelligence capable d'obtenir des aperçus des données financières à partir des ERP de SAP ? Peut-être. Quoiqu'il en soit, Oracle enrichit encore un peu plus son portefeuille applicatif professionnel avec « Oracle Financial Analytics for SAP », une solution qui propose des modules pour des domaines fonctionnels variés allant des achats et des charges jusqu'au marchés verticaux. Mais surtout, ce nouveau produit i...

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  • Sitting At MIX10 In Michael Scherotters Presentation of the Silverlight 4 Search Analytics Framework

      As usual, Michaels doing a great job of presenting enthusiastically the new Silverlight Analytics Frameworks.  Im hugely impressed with how easy it is going to be to add analytics to a... This site is a resource for asp.net web programming. It has examples by Peter Kellner of techniques for high performance programming...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Welcome to the BI & Analytics Pulse Blog

    - by jacqueline.coolidge(at)oracle.com
    In this blog, we'll be taking the pulse of the BI and Analytics market.   We get to meet people who involved in every aspect of the market --  customers that push the envelope and use BI in innovative ways, software developers, product managers, and sales teams in the field.  This sparks lots of ideas.  We'll share our experience and ideas and hope to generate discussion on topics that reflect what's going on in the market and where it will go next.  First topics will include, self-service BI and in memory analytics.   Let us know what you think is interesting. 

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  • Business Analytics Newsletter v6 is out

    - by THE
    Our latest Business Analytics Newsletter (v6) has just gone live. This edition features the topics: Profitability and Cost Management on Exalytics Hyperion Calculation Manager Oracle By Example - New Tutorial OBIEE 11g: Current and Future Patching Strategy OBIEE releases EPM Patch Set Updates - Recent Releases Product Retirement    -Hyperion Application Builder    -Oracle Essbase Spreadsheet Add-In    -OBIEE 11.1.1.5    -Hyperion Financial Reporting XBRL Functionality Of course you also find all relevant links to webcasts, communities, whitepapers and Social media etc. regarding Oracle Business Analytics in this newsletter. You find the newsletter under  https://support.oracle.com/rs?type=doc&id=1347131.1

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  • Tracking scroll depth to reveal content engagement in Google Analytics

    This article investigates a way to track content engagement on your site. By monitoring how far down the page a visitor to your site travels and then recording the data in Google Analytics you can discover how many of your visitors are reading your content all the way to the end. Introduction When browsing through your Google Analytics reports you will find a massive selection of data at your fingertips. You can find how many people visited a page, how long they were there, what country they were...Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

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  • Kicking yourself because you missed the Oracle OpenWorld and Oracle Develop Call for Papers?

    - by charlie.berger
    Here's a great opportunity!If you missed the Oracle OpenWorld and Oracle Develop Call for Papers, here is another opportunity to submit a paper to present. Submit a paper and ask your colleagues, Oracle Mix community, friends and anyone else you know to vote for your session. As applications of data mining and predictive analytics are always interesting, your chances of getting accepted by votes is higher.  Note, only Oracle Mix members are allowed to vote. Voting is open from the end of May through June 20. For the most part, the top voted sessions will be selected for the program (although we may choose sessions in order to balance the content across the program). Please note that Oracle reserves the right to decline sessions that are not appropriate for the conference, such as subjects that are competitive in nature or sessions that cover outdated versions of products. Oracle OpenWorld and Oracle DevelopSuggest-a-Sessionhttps://mix.oracle.com/oow10/proposals FAQhttps://mix.oracle.com/oow10/faq

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  • Big Data – Basics of Big Data Analytics – Day 18 of 21

    - by Pinal Dave
    In yesterday’s blog post we learned the importance of the various components in Big Data Story. In this article we will understand what are the various analytics tasks we try to achieve with the Big Data and the list of the important tools in Big Data Story. When you have plenty of the data around you what is the first thing which comes to your mind? “What do all these data means?” Exactly – the same thought comes to my mind as well. I always wanted to know what all the data means and what meaningful information I can receive out of it. Most of the Big Data projects are built to retrieve various intelligence all this data contains within it. Let us take example of Facebook. When I look at my friends list of Facebook, I always want to ask many questions such as - On which date my maximum friends have a birthday? What is the most favorite film of my most of the friends so I can talk about it and engage them? What is the most liked placed to travel my friends? Which is the most disliked cousin for my friends in India and USA so when they travel, I do not take them there. There are many more questions I can think of. This illustrates that how important it is to have analysis of Big Data. Here are few of the kind of analysis listed which you can use with Big Data. Slicing and Dicing: This means breaking down your data into smaller set and understanding them one set at a time. This also helps to present various information in a variety of different user digestible ways. For example if you have data related to movies, you can use different slide and dice data in various formats like actors, movie length etc. Real Time Monitoring: This is very crucial in social media when there are any events happening and you wanted to measure the impact at the time when the event is happening. For example, if you are using twitter when there is a football match, you can watch what fans are talking about football match on twitter when the event is happening. Anomaly Predication and Modeling: If the business is running normal it is alright but if there are signs of trouble, everyone wants to know them early on the hand. Big Data analysis of various patterns can be very much helpful to predict future. Though it may not be always accurate but certain hints and signals can be very helpful. For example, lots of data can help conclude that if there is lots of rain it can increase the sell of umbrella. Text and Unstructured Data Analysis: unstructured data are now getting norm in the new world and they are a big part of the Big Data revolution. It is very important that we Extract, Transform and Load the unstructured data and make meaningful data out of it. For example, analysis of lots of images, one can predict that people like to use certain colors in certain months in their cloths. Big Data Analytics Solutions There are many different Big Data Analystics Solutions out in the market. It is impossible to list all of them so I will list a few of them over here. Tableau – This has to be one of the most popular visualization tools out in the big data market. SAS – A high performance analytics and infrastructure company IBM and Oracle – They have a range of tools for Big Data Analysis Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Data Scientist. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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