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  • Android Google Analytics

    - by ibenot
    I'm trying to use Google Analytics in my Android application with Google Configuration Add .jar in my project Insert this in AndroidManifest Add this in my java file public class MainActivity extends Activity { GoogleAnalyticsTracker tracker; @Override public void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); tracker = GoogleAnalyticsTracker.getInstance(); tracker.startNewSession("My-UA–XXXXXXXX", this); setContentView(R.layout.main); Button createEventButton = (Button)findViewById(R.id.NewEventButton); createEventButton.setOnClickListener(new OnClickListener() { @Override public void onClick(View v) { tracker.trackEvent( "Clicks", // Category "Button", // Action "clicked", // Label 77); // Value } }); setContentView(R.layout.main); Button createPageButton = (Button)findViewById(R.id.NewPageButton); createPageButton.setOnClickListener(new OnClickListener() { @Override public void onClick(View v) { // Add a Custom Variable to this pageview, with name of "Medium" and value "MobileApp" and // scope of session-level. tracker.setCustomVar(1, "Navigation Type", "Button click", 2); // Track a page view. This is probably the best way to track which parts of your application // are being used. // E.g. // tracker.trackPageView("/help"); to track someone looking at the help screen. // tracker.trackPageView("/level2"); to track someone reaching level 2 in a game. // tracker.trackPageView("/uploadScreen"); to track someone using an upload screen. tracker.trackPageView("/testApplicationHomeScreen"); } }); Button quitButton = (Button)findViewById(R.id.QuitButton); quitButton.setOnClickListener(new OnClickListener() { @Override public void onClick(View v) { finish(); } }); Button dispatchButton = (Button)findViewById(R.id.DispatchButton); dispatchButton.setOnClickListener(new OnClickListener() { @Override public void onClick(View v) { // Manually start a dispatch, not needed if the tracker was started with a dispatch // interval. tracker.dispatch(); } }); } @Override protected void onDestroy() { super.onDestroy(); // Stop the tracker when it is no longer needed. tracker.stopSession(); } } == And it's ok, no error, compiling and executing but i have created my ua account yesterday (more 24h) and i have nothing in my google analytics panel. My Question : is there an error in my code or i want to wait again ? Live trafic works for Android application (like tradicional website) ??? I have no information about Live trafic (when i play my app, i would like to show the number of person using my application) and Saved trafic (with viewed pages, time) Thank you for your replies and excuse my poor english :) bye

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  • Google analytics Cookies

    - by Ajith
    In my browser cookies are creating by name _utma,_utmb and so on if i reject cookie creation.I think this cookie is for google analytics.Anybody know how google creating this cookie even browser not supporting cookie creaton.Thanks

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  • How to measure Silverlight control load time with Google Analytics

    - by ddehghan
    Hi everyone I have a simple silverlight page for for finding available domain names. I use Google Analytics for monitoring the traffic. I would really like to find out how long it take for users to download and render the Silverlight control. Once the java script on a page is loaded there should be a way to start a timer and then stop the timer once the Silverlight control is loaded. Key points I would like to measure are: Time it takes to download the silverlight control Time it takes to initialize the control Thanks

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  • Google Analytics tacking multiples domain mobile web app

    - by fravelgue
    Hi, I want tracking mobile web application that it is accessed from multiple domains with one google analytics account. I have found some information to do in tradicional web but not in mobile web. Could i change this code in snippet1? if (HttpContext.Current.Request.Url != null) { url.Append("&utmp=").Append(HttpUtility.UrlEncode(Request.Url.PathAndQuery)); to Url.AbsoluteUri Thx in advance,

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  • google analytics in asp.net

    - by Zerotoinfinite
    Hi All, I am using asp.net 3.5 with C#. I have registered my application in google analytics and it is successfully showing my statics. But I want to integrate that statics into my website, is their any way I can do it. Thanks in advance

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  • can i make my google analytics result public ?

    - by vfix
    Hi everyone, I work in a small company and we - as many others = use google analytics to monitor how well/bad our site is doing. To access this information we put the google account's details (username and pwd) and off we go. I now want to share this information with one of my clients but I don't want to give him my google account. can anybody suggest the best way or the best practices to achieve this ? Many Thanks Lp

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  • Android Google Analytics dispatch interval

    - by Bear
    In the document, it mentions that we can have a dispatch interval such that page view will be automatically dispatched after x seconds. I have the code like the following tracker.startNewSession("UA-YOUR-ACCOUNT-HERE", 20, this); I sure trackPageView() is called as I can see those pageview are stored into "google_analytics.db" which is the database that google analyitcs used to store non-dispatching pageview. However, it doesn't send to Google Analytics after 20 seconds In log, it keeps reporting scheduling next dispatch when I call trackPageView().

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  • Google Analytics: Avg. Time on Site

    - by MB
    Hi, i have a website and i have a Google Analytics code only on index.html code. What does Avg. Time on Site measure? Average time spend by visitors on all sites or average time on one website (index.html)? Regards

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  • Oracle Financial Analytics for SAP Certified with Oracle Data Integrator EE

    - by denis.gray
    Two days ago Oracle announced the release of Oracle Financial Analytics for SAP.  With the amount of press this has garnered in the past two days, there's a key detail that can't be missed.  This release is certified with Oracle Data Integrator EE - now making the combination of Data Integration and Business Intelligence a force to contend with.  Within the Oracle Press Release there were two important bullets: ·         Oracle Financial Analytics for SAP includes a pre-packaged ABAP code compliant adapter and is certified with Oracle Data Integrator Enterprise Edition to integrate SAP Financial Accounting data directly with the analytic application.  ·         Helping to integrate SAP financial data and disparate third-party data sources is Oracle Data Integrator Enterprise Edition which delivers fast, efficient loading and transformation of timely data into a data warehouse environment through its high-performance Extract Load and Transform (E-LT) technology. This is very exciting news, demonstrating Oracle's overall commitment to Oracle Data Integrator EE.   This is a great way to start off the new year and we look forward to building on this momentum throughout 2011.   The following links contain additional information and media responses about the Oracle Financial Analytics for SAP release. IDG News Service (Also appeared in PC World, Computer World, CIO: "Oracle is moving further into rival SAP's turf with Oracle Financial Analytics for SAP, a new BI (business intelligence) application that can crunch ERP (enterprise resource planning) system financial data for insights." Information Week: "Oracle talks a good game about the appeal of an optimized, all-Oracle stack. But the company also recognizes that we live in a predominantly heterogeneous IT world" CRN: "While some businesses with SAP Financial Accounting already use Oracle BI, those integrations had to be custom developed. The new offering provides pre-built integration capabilities." ECRM Guide:  "Among other features, Oracle Financial Analytics for SAP helps front-line managers improve financial performance and decision-making with what the company says is comprehensive, timely and role-based information on their departments' expenses and revenue contributions."   SAP Getting Started Guide for ODI on OTN: http://www.oracle.com/technetwork/middleware/data-integrator/learnmore/index.html For more information on the ODI and its SAP connectivity please review the Oracle® Fusion Middleware Application Adapters Guide for Oracle Data Integrator11g Release 1 (11.1.1)

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  • Security Controls on data for P6 Analytics

    - by Jeffrey McDaniel
    The Star database and P6 Analytics calculates security based on P6 security using OBS, global, project, cost, and resource security considerations. If there is some concern that users are not seeing expected data in P6 Analytics here are some areas to review: 1. Determining if a user has cost security is based on the Project level security privileges - either View Project Costs/Financials or Edit EPS Financials. If expecting to see costs make sure one of these permissions are allocated.  2. User must have OBS access on a Project. Not WBS level. WBS level security is not supported. Make sure user has OBS on project level.  3. Resource Access is determined by what is granted in P6. Verify the resource access granted to this user in P6. Resource security is hierarchical. Project access will override Resource access based on the way security policies are applied. 4. Module access must be given to a P6 user for that user to come over into Star/P6 Analytics. For earlier version of RDB there was a report_user_flag on the Users table. This flag field is no longer used after P6 Reporting Database 2.1. 5. For P6 Reporting Database versions 2.2 and higher, the Extended Schema Security service must be run to calculate all security. Any changes to privileges or security this service must be rerun before any ETL. 6. In P6 Analytics 2.0 or higher, a Weblogic user must exist that matches the P6 username. For example user Tim must exist in P6 and Weblogic users for Tim to be able to log into P6 Analytics and access data based on  P6 security.  In earlier versions the username needed to exist in RPD. 7. Cache in OBI is another area that can sometimes make it seem a user isn't seeing the data they expect. While cache can be beneficial for performance in OBI. If the data is outdated it can retrieve older, stale data. Clearing or turning off cache when rerunning a query can determine if the returned result set was from cache or from the database.

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  • Social Analytics and the Customer

    - by David Dorf
    Many successful retailers put the customer at the center of everything they do, so its important that the customer is modeled correctly across all their systems.  The path to omni-channel starts and ends with the customer so at ARTS, our next big project is focused on ensuring a consistent representation of customers across our transactional data model, datawarehouse model, and XML schemas.  Further, we've started a new whitepaper that describes how Big Data and Social Media Analytics should be leveraged by retailers to add and additional level of customer insight. Let's start by taking a closer look at the meaning of social analytics.  Here's my definition: Social Analytics, in the retail context, describes the analysis of data obtained from social media sources in an effort to better comprehend and interact with the community of consumers.  This discipline seeks to understand what’s being said by the community about brands and products (“monitoring”), as well as understand the behaviors of those in the community (“profiling”).  The results are used to enforce the brand image, improve product decisions, and better focus marketing, all of which lead to increased sales. To help illustrate the facets of social analytics, I drew the diagram below which was originally published by Retail Touchpoints. There are lots of tools on the market that allow retailers to monitor social media for brand and product mentions.  These include analysis of sentiment, reach, share of voice, engagement, etc.  When your brand is mentioned, good or bad, its an opportunity to engage with the customer and possibly lead to a sale.  Because products are not always unique, its much more difficult to monitor product mentions, but detecting product trends early can help a retailer make better merchandising decisions, especially in fashion. Once a retailer understands what's being said, the next step is learn more about who's saying it.  That involves profiling customers beyond simple demographics to understand their motivations.  Much can be learned from patterns, and even more when customers voluntarily share their data.  Knowing that a customer is passionate about, for example, mountain biking allows the retailer to make relevant offers on helmets, ask for opinions on hydration, and help spread marketing messages. Social analytics has many facets that benefit retailers, some of which are easy but many of which are hard.  Its important for the CMO and CIO to work closely together to plan for these capabilities and monitor the maturity of tools on the market.  This is an area that will separate winners from losers.

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  • Introducing the Industry's First Analytics Machine, Oracle Exalytics

    - by Manan Goel
    Analytics is all about gaining insights from the data for better decision making. The business press is abuzz with examples of leading organizations across the world using data-driven insights for strategic, financial and operational excellence. A recent study on “data-driven decision making” conducted by researchers at MIT and Wharton provides empirical evidence that “firms that adopt data-driven decision making have output and productivity that is 5-6% higher than the competition”. The potential payoff for firms can range from higher shareholder value to a market leadership position. However, the vision of delivering fast, interactive, insightful analytics has remained elusive for most organizations. Most enterprise IT organizations continue to struggle to deliver actionable analytics due to time-sensitive, sprawling requirements and ever tightening budgets. The issue is further exasperated by the fact that most enterprise analytics solutions require dealing with a number of hardware, software, storage and networking vendors and precious resources are wasted integrating the hardware and software components to deliver a complete analytical solution. Oracle Exalytics In-Memory Machine is the world’s first engineered system specifically designed to deliver high performance analysis, modeling and planning. Built using industry-standard hardware, market-leading business intelligence software and in-memory database technology, Oracle Exalytics is an optimized system that delivers answers to all your business questions with unmatched speed, intelligence, simplicity and manageability. Oracle Exalytics’s unmatched speed, visualizations and scalability delivers extreme performance for existing analytical and enterprise performance management applications and enables a new class of intelligent applications like Yield Management, Revenue Management, Demand Forecasting, Inventory Management, Pricing Optimization, Profitability Management, Rolling Forecast and Virtual Close etc. Requiring no application redesign, Oracle Exalytics can be deployed in existing IT environments by itself or in conjunction with Oracle Exadata and/or Oracle Exalogic to enable extreme performance and best in class user experience. Based on proven hardware, software and in-memory technology, Oracle Exalytics lowers the total cost of ownership, reduces operational risk and provides unprecedented analytical capability for workgroup, departmental and enterprise wide deployments. Click here to learn more about Oracle Exalytics.  

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  • Best practices on what data to collect in an in-app web analytics

    - by Anton Gogolev
    Hi! In our SaaSy webapp we need to collect Google Analytics-like data (like, what pages were visited, how many 404s where there, etc.). I wonder if there are any best practices on what pieces of information should be collected (like, IP, User Agent, etc.) and how should these logs be stored. Requirements on what statistics we're going to display are not yet fixed, but I want to have a starting point. Can you help me out with this? Thanks.

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  • Form Journey Tracking using google analytics

    - by Nick Lowman
    Hi there, Is there anyway, using google analytics, to track a user's journey/selections through a long form so I can see where they drop off? I've created a 'contact us' form which starts with drop down menu which requires the user to make a choice i.e. apply for job, apply for funding etc. and then each option requires the user to fill out a form, which is completed over serval steps. Is there a way to track a user's individual form choices from their initial selection on the Contact Us page through to the form being submitted? That way I could see where in the form journey the users are dropping off.

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  • Regular expression to validate a Google Analytics UA Number

    - by Otis
    It's not 100 percent clear to me that the Google Analytics UA Numbers are always 6 digits, a dash, and 2 digits as Google often mentions in their documentation. There are frequent counter-examples that use fewer than 6 for the account portion and 1-4 for the profile. All of the examples always show numbers but it's not even clear that they can't be letters. Does anyone know if Google has published a regex that exactly matches allowable UA Numbers? I'm adding this feature to the admin console of an application I work on and would like to validate the user input.

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  • Google Analytics cookies

    - by wokena
    My problem: I erased all cookies from my computer. I sent Post request to the X server log and sent me a "normal" Set-Cookie with its parameters, but then somehow it will send request for Google Analytics (GA), in which the "strange" header (utma, utmac, utmcn ...). This happens when I send request in browser. But when I pass a request to login from my program (I programm in Ruby), so my server will return 302 Found, but no request to the GA sends. And I just need these headers ...

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  • Google Analytics--My second profile to an existing domain not tracking

    - by Steve
    Hey Guys, I created a second profile to my Analytics account to track SEO keywords. This is a second profile for my existing working domain. It has been 4 days and I still do not see any traffic on this secondary profile. The profile shows a Staus of "Unknown". But I do not see a way to validate it like you have to when you create your first profile and this should not be necessary for a profile to my existing domain. Any ideas what I am missing? Thanks!

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  • How to measure Silverlight or Flash control load time with Google Analytics

    - by ddehghan
    Hi everyone I have a simple silverlight page for for finding available domain names. This problem is equaly valid for a flash control as well. I use Google Analytics for monitoring the traffic. I would like to find out how long it take for users to download and render the Silverlight control. Once the java script on a page is loaded there should be a way to start a timer and then stop the timer once the Silverlight/flash control is loaded. Key points I would like to measure are: Time it takes to download the silverlight/flash control Time it takes to initialize the control Thanks

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  • What data is sent to Google Analytics?

    - by Darryl Hein
    Has anyone found any documentation or research about what data is transfered to Google Analytics when it's added to a site. The main thing I'm wondering about is post data, but the details of exactly what is sent would be useful. I'm considering implementing it on a sites that have a lot of private data on them. I'm wondering what data Google will capture, if any. (The sites are login only.) I'm needing proof so I can provided to the users.

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  • Combining Content Data in Google Analytics

    - by David Csonka
    When I first start one of my Wordpress blogs, I had the permanent URL for each post include the date of posting. The slug format looked like this: /blog/2010/01/25/this-is-my-article/ Later on, I changed it so that the date was not included in the permanent URL, like this: /blog/this-is-my-article/ and setup a redirect plugin to make sure that users would get to the page they wanted until the site was re-indexed. In Google Analytics, when I review the stats for content I now have multiple records for what is essentially the same page. ie: Top Content List: 45 Pageviews- /blog/this-is-my-article/ 24 Pageviews- /blog/2010/01/25/this-is-my-article/ 33 Pageviews- /blog/some-other-article/ Is there any way to combine those records somehow?

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