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  • How do you track display impressions in Google Analytics on non Google networks?

    - by dee
    Google Analytics has a Multi-Channel funnel analysis feature that we’d like to use to understand assisted conversions and how each channel has impacted on conversion beyond just last interaction attribution. My current understanding is that the impression tracking part of this feature works really well when playing within Google’s search and display networks. Outside of Google’s network I suspect that impression tracking will no longer “just work” and feed back into GA appropriately. What our options are for tracking display impressions on other advertising networks so that we can be attributing value correctly with GA?

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  • Google Analytics: Why is Avg Time on Site lower than Avg time on Page?

    - by Melanie
    I have the following Custom Report set up in Google Analytics: Metrics: Avg Time on Page Avg Time on Site Dimensions: Page So a report looks like this: Page Avg Time on Page Avg Time on Site /an-article 00:03:14 00:00:11 /another-article 00:05:11 00:01:07 /something-written 00:03:00 00:00:31 Why is it that for each 'page', the 'site views' are significantly lower?

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  • No search data in Google Analytics or Webmasters

    - by cjk
    I have a domain that has been registered in Google Webmasters and using Google Analytics for over 4 months. I get lots of analytics data, but am getting no information on Google searches in Webmasters, or Queries in Search Engine Optimisation in Analytics, even though I am getting keywords for traffic coming to my site from search engines. I have a test sub-domain with the same setup (except not HTTPS) that is getting some of this information through, even with much less data and visits. What could be wrong to stop me getting this information?

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  • CRM@Oracle Series: CRM Analytics

    - by tony.berk
    What is the most important factor that leads to a successful CRM deployment? Is it the overall strategy, strong governance, defined processes or good data quality? Well, it's definitely a combination of all these, but the most important differentiator from our experience is Business Intelligence. Business Intelligence or Analytics is commonly mentioned as a key aspect to successful CRM and other enterprise deployments. The good news is that Oracle provides pre-built analytics dashboards, which provide real-time, actionable insight, and tools to build custom analyses. However, success with analytics, especially in a large enterprise, still requires a strong strategy, clean data for analysis, and performance. Today's CRM@Oracle slidecast covers Oracle's strategy, architecture and key success factors for deploying CRM Analytics internally at Oracle. CRM@Oracle: CRM Analytics Click here to learn more about Oracle CRM products and here to learn about Oracle Business Intelligence Applications. Have you read our other postings in the CRM@Oracle Series? If you have a particular CRM area or function which you'd like to hear how Oracle implemented it internally, post a comment and we'll get it on our list.

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  • No search data in Goolge Analytics or Webmasters

    - by cjk
    I have a domain that has been registered in Google Webmasters and using Google Analytics for over 4 months. I get lots of analytics data, but am getting no information on Google searches in Webmasters, or Queries in Search Engine Optimisation in Analytics, even though I am getting keywords for traffic coming to my site from search engines. I have a test sub-domain with the same setup (except not HTTPS) that is getting some of this information through, even with much less data and visits. What could be wrong to stop me getting this information?

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  • Setting up Google Analytics for multiple subdomains

    - by Andrew G. Johnson
    so first here's a snippet of my current Analytics javascript: var _gaq = _gaq || []; _gaq.push(['_setAccount', 'UA-30490730-1']); _gaq.push(['_setDomainName', '.apartmentjunkie.com']); _gaq.push(['_setSiteSpeedSampleRate', 100]); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0];s.parentNode.insertBefore(ga, s); })(); So if you wanna have a quick peak at the site the url is ApartmentJunkie.com, keep in mind the site is pretty bare bones but you'll get the idea -- basically it's very similar to craigslist in the sense that it's in the local space so people pick a city then get sent to a subdomain that is specific for that city, e.g. winnipeg.mb.apartmentjunkie.com. I put that up late last night then had a look at the analytics and found that I am seeing only the request uri portion of the URLs in analytics as I would with any other site only with this one it's a problem as winnipeg.mb.apartmentjunkie.com/map/ and brandon.mb.apartmentjunkie.com/map/ are two different pages and shouldn't be lumped together as /map/ I know the kneejerk response is likely going to be "hey just setup a different google analytics profile for each subdomain" but there will eventually be a lot of subdomains so google's cap of 50 is going to be too limited and even more important I want to see the data in aggregate for the most part. I am thinking of making a change to the javascript, to something like: _gaq.push(['_trackPageview',String(document.domain) + String(document.location)]); But am unsure if this is the best way and figured someone else on wm.se would have had a similar situation that they could talk a bit about.

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  • 2 google analytics profiles for 2 sections of the same site

    - by sam
    Ive got a website which for the most part is a portfolio, there is another section of the site mysite.com/micro-site which ranks extremely well for it chosen term / topic, and brings in lots of traffic, but actually has little to do with the core business. It was really made as a piece of content - in the same way sites like this are - http://chrome.com/campaigns/rollit For the main site i use 1 Google analytics profile and set of tags, for the micro site i have a completely different analytics profile and set of tags. The main reason ive done this is because the traffic stats and insights for the micro site are essentially just noise, its nice to have the traffic but they dont help when reading analytics reports, so if they were combined my analytics reports would be a mess. Is there any disadvantage / negatives of doing this ?

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  • Google Analytics on Android

    - by pjv
    There is a specific and official analytics SDK for native Android apps (note that I'm not talking about webpages in apps on a phone). This library basically sends pages and events to Google Analytics and you can view your analytics in exactly the same dashboard as for websites. Since my background is apps rather than websites, and since a lot of the Google Analytics terminology seems particularly inapplicable to a native app, I need some pointers. Please discuss my remarks, provide some clarification where you think I'm off-track, and above all share good experiences! 1. Page Views Pages mostly can match different Activities (and Dialogs) being displayed. Activities can be visible behind non-full-screen Activities however, though only the top-level Activity can be interacted. This sort-off clashes with a "(page) view". You'd also want at least one page view for each visit and therefore put one page view tracker in the Application class. However this does not constitute a window or sorts. Usually an Activity will open at the same time, so the time spent on that page will have been 0. This will influence your "time spent" statistics. How are these counted anyway? Moreover, there is a loose coupling between the Activities, by means of Intents. A user can, much like on any website, step in at any Activity, although usually this then concerns resuming the application where he left off. This makes that the hierarchy of Activities usually is very flat. And since there are no url's involved. What meaning would using slashes in page titles have, such as "/Home"? All pages would appear on an equal level in the reports, so no content drilldown. Non-unique page views seem to be counted as some kind of indicator of successfulness: how often does the visitor revisit the page. When the user rotates the screen however usually an Activity resumes again, thus making it a new page view. This happens a lot. Maybe a well-thought-through placement of the call might solve this, or placing several, I'm not sure. How to deal with Page Views? 2. Events I'd say there are two sorts: A user event Something that happened, usually as an indirect consequence of the above. The latter particularly is giving me headaches. First of all, many events aren't written in code any more, but pieced logically together by means of Intents. This means that there is no place to put the analytics call. You'd either have to give up this advantage and start doing it the old-fashioned way in favor of good analytics, or, just be missing some events. Secondly, as a developer you're not so much interested in when a user clicks a button, but if the action that should have been performed really was performed and what the result was. There seems to be no clear way to get resulting data into Google Analytics (what's up with the integers? I want to put in Strings!). The same that applies to the flat pages hierarchy, also goes for the event categories. You could do "vertical" categories (topically, that is), but some code is shared "horizontally" and the tracking will be equally shared. Just as with the Intents mechanism, inheritance makes it hard for you to put the tracking in the right places at all times. And I can't really imagine "horizontal" categories. Unless you start making really small categories, such as all the items form the same menu in one category, I have a hard time grasping the concept. Finally, how do you deal with cancelling? Usually you both have an explicit cancel mechanism by ways of a button, as well as the implicit cancel when the "back"-button is pressed to leave the activity and there were no changes. The latter also applies to "saves", when the back button is pressed and there ARE changes. How are you consequently going to catch all these if not by doing all the "back"-button work yourself? How to deal with events? 3. Goals For goal types I have choice of: URL Destination, Time on Site, and Pages/Visit. Most apps don't have a funnel that leads the user to some "registration done" or "order placed" page. Apps have either already been bought (in which case you want to stimulate the user to love your app, so that he might bring on new buyers) or are paid for by in-app ads. So URL Destination is not a very important goal. Time on Site also seems troublesome. First, I have some doubt on how this would be measured. Second, I don't necessarily want my user to spend a lot of time in my already paid app, just be active and content. Equivalently, why not mention how frequent a user uses your app? Regarding Pages/Visit I already mentioned how screen orientation changes blow up the page view numbers. In an app I'd be most interested in events/visit to measure the user's involvement/activity. If he's intensively using the app then he must be loving it right? Furthermore, I also have some small funnels (that do not lead to conversion though) that I want to see streamlined. In my mind those funnels would end in events rather than page views but that seems not to be possible. I could also measure clickthroughs on in-app ads, but then I'd need to track those as Page Views rather than Events, in view of "URL Destination". What are smart goals for apps and how can you fit them on top of Analytics? 4. Optimisation Is there a smart way to manually do what "Website Optimiser" does for websites? Most importantly, how would I track different landing page designs? 5. Traffic Sources Referrals deal with installation time referrals, if you're smart enough to get them included. But perhaps I'd also want to get some data which third-party app sends users to my app to perform some actions (this app interoperability is possible via Intents). Many of the terminologies related to "Traffic Sources" seem totally meaningless and there is no possibility of connecting in AdSense. What are smart uses of this data? 6. Visitors Of the "Browser capabilities", "Network Properties" and "Mobile" tabs, many things are pointless as they have no influence on / relation with my mostly offline app that won't use flash anyway. Only if you drill down far enough, can you get to OS versions, which do matter a lot. I even forgot where you could check what exact Android devices visited. What are smart uses of this data? How can you make the relevant info more prominent? 7. Other No in-page analytics. I have to register my app as a web-url (What!?)?

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  • Anonymouse VS Logged in users on my site & Google Analytics

    - by Flowpoke
    I'd like to be able to run two different 'tracks' for Google Analytics; One for anonymous users of the site and another for Users whom are logged-in. I say "track" because Im not sure of the term--but I definitely know I want it to all be in the same "Analytics Account", I just want to segregate my logged-in users... In the site template, I can very easily add a conditional to display one or the other (Analytics code snippet)... Which Im hoping this comes down to and although Im not sure, it seems that the last digit in your Analytics ID (e.g. UA-15XXXX0-X) could be incremented to gain such additional 'tracks'....? Any tips? Am I doin it wrong? My current footer snippet: <script type="text/javascript"> var gaJsHost = (("https:" == document.location.protocol) ? "https://ssl." : "http://www."); document.write(unescape("%3Cscript src='" + gaJsHost + "google-analytics.com/ga.js' type='text/javascript'%3E%3C/script%3E")); </script> <script type="text/javascript"> try { var pageTracker = _gat._getTracker("UA-XXXXXXX-1"); pageTracker._trackPageview(); } catch(err) {} </script>

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  • How to configure Google Analytics experiments manually

    - by John
    I wish to run multivariate tests on an e-commerce site that run across all product pages. I will be setting and deciding the variations myself all I need to do is track the results in GA. I think may be possible (although only A/B testing is available via the GA UI): https://developers.google.com/analytics/devguides/platform/features/experiments#serving-framework EXTERNAL – You will choose variations, handle experiment optimization, and only report the chosen variation to Google Analytics. For example, this should be used by 3rd-party optimization platforms that want to integrate with Google Analytics for reporting purposes. In this case, the Google Analytics statistical engine will not run. However how do I configure this and push the data to GA in my page?

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  • Google Analytics not working for multiple domains

    - by syalam
    I have a webapp that allows users to embed an iframe on their website. This iframe contains a Google Analytics snippet that is logging an event that captures the website the iframe is embedded on. Google Analytics isn't reporting anything, even though I am clearly embedding this iframe on numerous websites (on multiple domains as well). Does Google Analytics not allow tracking for multiple domains?

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  • Google Analytics: Block Your Dynamic IP Visits?

    - by 4thSpace
    I have a dynamic IP, which doesn't work for Google Analytics IP filtering. I read this post How to excludes my visits from Google Analytics? but don't see any code for setting the variable mentioned there. Has anyone been able to block their website visits from Google Analytics using a cookie? EDIT: This seems to work https://tools.google.com/dlpage/gaoptout. Although I don't think it was designed as I'm using it.

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  • AdWords traffic not (properly) reflected in Analytics

    - by CJM
    I have an AdWords account, which was set to use Auto-tagging of URLs. When looking at the Analytics account for that site, I couldn't find any reference to AdWords traffic either in the Advertising section or the Traffic Sources section. So I manually constructed the URL tags, and updated the Campaign Ad. Once the ad was approved and the clicks started coming through again, I could see the results in the Traffic Sources section of Analytics. In the Sources Campaigns section, my campaign was listed, and under Sources All Traffic, it was registering the same level of traffic from google/adwords. However, the Advertising AdWords section is still drawing a blank. Any ideas? Are there explicit steps needed to enable full tracking of AdWords campaigns? If it is relevant, the Adwords campaign was set up with one account, and the Analytics tracking with another, but both accounts have full access to both AdWords and Analytics.

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  • How to track events or e-commerce sales that occur later using Google Analytics?

    - by Anton
    Here's my problem: I have a static site with Google Analytics tracking code. To buy one of my services, users call me, and when their order is ready (many days later), I send them an e-mail link to a special page (download.php) where I have GA tracking code that is executed the first time they visit, so I track a "sale". The issue is, GA thinks that "sale" was a separate visit, and erroneously shows that only direct visits to my site result in sales. I don't understand how I can view stats (Pages / Visit, Avg. Time on Site, etc.) about users who eventually bought something. I've tried events and e-commerce tracking with no luck. Please help!

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  • Using Google Analytics to determine how much time a visitor spends in each section of my site

    - by flossfan
    I have a site with various pages, like: /about/history /about/team /contact/email-us /contact I want to figure out how much time people are spending on the entire /about section, and how much on the /contact section. If I run a query on the Google Analytics API and set the dimension to ga:pagePathLevel1 and the metric to ga:avgTimeOnPage, I get results like this: { pagePathLevel1: /about, avgTimeOnPage: 28 }, { pagePathLevel1: /contact, avgTimeOnPage: 10 } This looks roughly like what I want, but I'm not sure how to intepret it: Is the value of avgTimeOnPage the average time spent by any user on all pages that match that path? Or is it the average time spent by any user on any single page that matches that path? I'm looking for the average time spent across all pages matching that path, but the time estimates look shorter than I'd expect.

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  • How can I track scrolling in a Google Analytics custom report?

    - by SnowboardBruin
    I want to track scrolling on my website since it's a long page (rather than multiple pages). I saw several different methods, with and without an underscore for trackEvent, with and without spaces between commas <script> ... ... ... ga('create', 'UA-45440410-1', 'example.com'); ga('send', 'pageview'); _gaq.push([‘_trackEvent’, ‘Consumption’, ‘Article Load’, ‘[URL]’, 100, true]); _gaq.push([‘_trackEvent’, ‘Consumption’, ‘Article Load’, ‘[URL]’, 75, false]); _gaq.push([‘_trackEvent’, ‘Consumption’, ‘Article Load’, ‘[URL]’, 50, false]); _gaq.push([‘_trackEvent’, ‘Consumption’, ‘Article Load’, ‘[URL]’, 25, false]); </script> It takes a day for counts to load with Google Analytics, otherwise I would just tweak and test right now.

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  • Is there a way I can verify my Google Analytics custom report?

    - by SnowboardBruin
    I want to track scrolling on my website since it's a long page (rather than multiple pages). I saw several different methods, with and without an underscore for trackEvent, with and without spaces between commas <script> ... ... ... ga('create', 'UA-45440410-1', 'example.com'); ga('send', 'pageview'); _gaq.push([‘_trackEvent’, ‘Consumption’, ‘Article Load’, ‘[URL]’, 100, true]); _gaq.push([‘_trackEvent’, ‘Consumption’, ‘Article Load’, ‘[URL]’, 75, false]); _gaq.push([‘_trackEvent’, ‘Consumption’, ‘Article Load’, ‘[URL]’, 50, false]); _gaq.push([‘_trackEvent’, ‘Consumption’, ‘Article Load’, ‘[URL]’, 25, false]); </script> It takes a day for counts to load with Google Analytics, otherwise I would just tweak and test right now.

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  • Analytics - Total events divided by number of unique pages?

    - by GeekyAndUnique
    I am using Google Analytics events to track keywords on my articles - not necessarily the best system I know but there are too many for variables I can't easily change it right now - and I would like to be able to see how popular each keyword is by dividing the number of page views with a keyword by the number of unique pages. Is there a/what is the best way of doing this? EDIT FOR CLARITY I currently have a system set up where every time somebody loads an article an event is fired for each of the tags/keywords used, with the keyword being the label. I can currently view my view count for each of the keywords by looking at the total events for each label, however I would like to be able to see which keywords are the most popular by dividing the number of times the event has been fired by the the number of different pages it has been fired from.

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  • Google Analytics + External Site Statistics Tracking in one application?

    - by Soleil
    My company is a broker in the real estate industry. As such, we send a lot of our listings to sites like Trulia.com and Zillow.com, among others. These sites direct leads to our realtors, and provide us with reports every month detailing the activity our listings have had on their site-- links back to our website, emails generated, etc. Our Marketing and Advertising departments want to take that information and enter it into a system to keep track of everything in one place, for the purpose of producing comparison reports. I cannot find any externally available product that provides this functionality. I would sincerely like to avoid writing this tool myself. Does anyone know of a tool that could do this? In short, an ideal system would: Imports Google Analytics data via API Imports real estate listing site data via CSV import / manual entry Provides comparison reports based on data Does anyone know of anything pre-made that can do this?

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  • Using custom variables in Google Analytics funnels?

    - by Matt Huggins
    Google Analytics allow you to view how many users completed funnels through a set of pages in order to reach a goal URL. The service also allows you to pass custom variables when tracking a page view. Is it possible to combine the two, such that I create a funnel based upon the vale of a custom variable set for each visitor?

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  • Harnessing Business Events for Predictive Decision Making - part 1 / 3

    - by Sanjeev Sharma
    Businesses have long relied on data mining to elicit patterns and forecast future demand and supply trends. Improvements in computing hardware, specifically storage and compute capacity, have significantly enhanced the ability to store and analyze mountains of data in ever shrinking time-frames. Nevertheless, the reality is that data growth is outpacing storage capacity by a factor of two and computing power is still very much bounded by Moore's Law, doubling only every 18 months.Faced with this data explosion, businesses are exploring means to develop human brain-like capabilities in their decision systems (including BI and Analytics) to make sense of the data storm, in other words business events, in real-time and respond pro-actively rather than re-actively. It is more like having a little bit of the right information just a little bit before hand than having all of the right information after the fact. To appreciate this thought better let's first understand the workings of the human brain.Neuroscience research has revealed that the human brain is predictive in nature and that talent is nothing more than exceptional predictive ability. The cerebral-cortex, part of the human brain responsible for cognition, thought, language etc., comprises of five layers. The lowest layer in the hierarchy is responsible for sensory perception i.e. discrete, detail-oriented tasks whereas each of the above layers increasingly focused on assembling higher-order conceptual models. Information flows both up and down the layered memory hierarchy. This allows the conceptual mental-models to be refined over-time through experience and repetition. Secondly, and more importantly, the top-layers are able to prime the lower layers to anticipate certain events based on the existing mental-models thereby giving the brain a predictive ability. In a way the human brain develops a "memory of the future", some sort of an anticipatory thinking which let's it predict based on occurrence of events in real-time. A higher order of predictive ability stems from being able to recognize the lack of certain events. For instance, it is one thing to recognize the beats in a music track and another to detect beats that were missed, which involves a higher order predictive ability.Existing decision systems analyze historical data to identify patterns and use statistical forecasting techniques to drive planning. They are similar to the human-brain in that they employ business rules very much like mental-models to chunk and classify information. However unlike the human brain existing decision systems are unable to evolve these rules automatically (AI still best suited for highly specific tasks) and  predict the future based on real-time business events. Mistake me not,  existing decision systems remain vital to driving long-term and broader business planning. For instance, a telco will still rely on BI and Analytics software to plan promotions and optimize inventory but tap into business events enabled predictive insight to identify specifically which customers are likely to churn and engage with them pro-actively. In the next post, i will depict the technology components that enable businesses to harness real-time events and drive predictive decision making.

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  • Google analytics ignoring "required step" in goals

    - by Matt Huggins
    I am A/B testing a landing page to see which converts better. The funnels are set up exactly the same in terms of the goal completion URL and funnel steps, with one exception: the first step (which is a required step) has a different URL to represent each of the two landing pages. Unfortunately, Google is tracking a conversion for both of these goals regardless of which landing page a user is reaching! It looks like the "required step" is broken...perhaps it is a deeper issue if others haven't noticed it, such as it only not working when the goal URL is the same between multiple goals. Here is an example of what I mean. Goal 1: Goal URL: /users/dashboard (head match) Funnel: 1. /homepages/index1 (required step) 2. /users/register 3. /users/edit Goal 2: Goal URL: /users/dashboard (head match) Funnel: 1. /homepages/index2 (required step) 2. /users/register 3. /users/edit As you can see, the only difference is step #1 of the funnel. Since I am A/B testing the landing page of the site, this should be the only difference. However, when I look at the goal page of Google Analytics, I see that the goal is being recorded for both of these regardless of the landing page being reached. The only tinkering I've done is attempting to wrap each funnel step's goal in ^ and $ characters for an exact regular expression match, but this didn't make a difference. Thoughts?

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  • Oracle's Primavera P6 Analytics Now Available!

    - by mark.kromer
    Oracle's Primavera product team has announced this week that general availability of our first Oracle BI (OBI) based analytical product with pre-built business intelligence dashboards, reports and KPIs built in. P6 Analytics uses OBI's drill-down capabilities, summarizations, hierarchies and other BI features to provide knowledge to your business users to make the best decisions on portfolios, projects, schedules & resources with deep insights. Without needing to launch into the P6 tool, your executives, PMO, project sponsors, etc. can view up to date project performance information as well as historic trends of project performance. Using web-based portal technology, P6 Analytics makes it easy to manage by exception and then drill down to quickly identify root cause analysis of problem projects. At the same time, a brand new version of the P6 Reporting Database R2 was just announded and is also now available. This updated reporting database provides you with 4 star schemas with spread data and includes P6 activity, project and resource codes. You can use the data warehouse and ETL functions of the P6 Reporting Database R2 with your own reporting tools or build dashboards that utilize the hierarchies & drill down to the day-level on scheduled activities using Busines Objects, Cognos, Microsoft, etc. Both of these products can be downloaded from E-Delivery under the Primavera applications section in the P6 EPPM v7.0 media pack. I put some examples below of the resource utilization, earned value, landing page and portfolio analysis dashboards that come out of the box with P6 Analytics to give you these deep insights into your projects & portfolios on day 1 of using the tool. Please send an email to Karl or me if you have any questions or would like more information. Oracle Technology Network and the Oracle.com marketing sites are currently being refreshed with further details of these exciting new releases of the Primavera BI and data warehouse products. Lastly, scroll below for some screenshots of the new P6 Analytics R1 product using OBIEE! Thanks, Mark Kromer

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