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  • CRM Evolution 2014: Mediocrity is the New Horrible in Customer Service

    - by Tuula Fai
    "Mediocrity is the new horrible in customer service," Blair McHaney, Gold's Gym Almost everyone knows that customers' expectations have risen. But, after listening to two days of presentations at CRM Evolution, I think it’s more accurate to say that customers' expectations have skyrocketed. Fortunately, most companies have gotten the message and are taking their customer service to a higher level. For those who've been hesitant to 'boldly go where their customer service organization has not gone before,' take heart. I’ve got some statistics that will encourage you to take those first few steps. Why should I change? By engaging customers online, ancestry.com achieved a 99.5% customer satisfaction score (CSAT) while improving retention and saving millions on greater efficiency, including a 38%-50% drop in inbound calls and emails.1 By empowering employees to delight customers, Gold’s Gym achieved a 77.5% Net Promoter Score (NPS) and 22% customer churn rate. No small feat when you consider the industry averages are 40% NPS and 45% churn.2 By adapting quickly to social media, brands like Verizon have benefited from social community members spending 2.5x-10x more than average customers.3 ‘The fierce urgency of now’ is upon us in customer service. You can take your customer service to a higher level! To find out more, click here CRM Evolution Customer Service Experience Footnotes: 1. Arvindh Balakrishnan, Is Your Customer Service Modern?2. Blair McHaney, Wire Your Organization with Customer Feedback3. Becky Carroll, The Power of Communities for Improving the Service Experience and Building Advocates

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  • Analytics in an Omni-Channel World

    - by David Dorf
    Retail has been around ever since mankind started bartering.  The earliest transactions were very specific to the individuals buying and selling, then someone had the bright idea to open a store.  Those transactions were a little more generic, but the store owner still knew his customers and what they wanted.  As the chains rolled out, customer intimacy was sacrificed for scale, and retailers began to rely on segments and clusters.  But thanks to the widespread availability of data and the technology to convert said data into information, retailers are getting back to details. The retail industry is following a maturity model for analytics that is has progressed through five stages, each delivering more value than the previous. Store Analytics Brick-and-mortar retailers (and pure-play catalogers as well) that collect anonymous basket-level data are able to get some sense of demand to help with allocation decisions.  Promotions and foot-traffic can be measured to understand marketing effectiveness and perhaps focus groups can help test ideas.  But decisions are influenced by the majority, using faceless customer segments and aggregated industry data points.  Loyalty programs help a little, but in many cases the cost outweighs the benefits. Web Analytics The Web made it much easier to collect data on specific, yet still anonymous consumers using cookies to track visits. Clickstreams and product searches are analyzed to understand the purchase journey, gauge demand, and better understand up-selling opportunities.  Personalization begins to allow retailers target market consumers with recommendations. Cross-Channel Analytics This phase is a minor one, but where most retailers probably sit today.  They are able to use information from one channel to bolster activities in another. However, there are technical challenges combining data silos so its not an easy task.  But for those retailers that are able to perform analytics on both sources of data, the pay-off is pretty nice.  Revenue per customer begins to go up as customers have a better brand experience. Mobile & Social Analytics Big data technologies are enabling a 360-degree view of the customer by incorporating psychographic data from social sites alongside traditional demographic data.  Retailers can track individual preferences, opinions, hobbies, etc. in order to understand a consumer's motivations.  Using mobile devices, consumers can interact with brands anywhere, anytime, accessing deep product information and reviews.  Mobile, combined with a loyalty program, presents an opportunity to put shopping into geographic context, understanding paths to the store, patterns within the store, and be an always-on advertising conduit. Omni-Channel Analytics All this data along with the proper technology represents a new paradigm in which the clock is turned back and retail becomes very personal once again.  Rich, individualized data better illuminates demand, allows for highly localized assortments, and helps tailor up-selling.  Interactions with all channels help build an accurate profile of each consumer, and allows retailers to tailor the retail experience to meet the heightened expectations of today's sophisticated shopper.  And of course this culminates in greater customer satisfaction and business profitability.

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  • Access-based Enumeration (December 04, 2009)

    - by user12612012
    Access-based Enumeration (ABE) is another recent addition to the Solaris CIFS Service - delivered into snv_124.  Designed to be compatible with Windows ABE, which was introduced in Windows Server 2003 SP1, this feature filters directory content based on the user browsing the directory.  Each user can only see the files and directories to which they have access.  This can be useful to implement an out-of-sight, out-of-mind policy or simply to reduce the number of files presented to each user - to make it easier to find files in directories containing a large number of files. ABE is managed on a per share basis by a new boolean share property called, as you might imagine, abe, which is described insharemgr(1M).  When set to true, ABE filtering is enabled on the share and directory entries to which the user has no access will be omitted from directory listings returned to the client.  When set to false or not defined, ABE filtering will not be performed on the share.  The abe property is not defined by default.Administration is straightforward, for example: # zfs sharesmb=abe=true,name=jane tank/home/jane# sharemgr show -vp    zfs       zfs/tank/home/jane nfs=() smb=()          jane=/export/home/jane     smb=(abe="true") ABE is also supported via sharemgr(1M) and on smbautohome(4) shares. Note that even though a file is visible in a share, with ABE enabled, it doesn't automatically mean that the user will always be able to open the file.  If a user has read attribute access to a file ABE will show the it but access will be denied if this user tries to open the file for reading or writing. We considered supporting ABE on NFS shares, as suggested by the name of PSARC/2009/375, but we ran into problems due to NFS client readdir caching.  NFS clients maintain a common directory entry cache for all users, which not only defeats the intent of ABE but can lead to very confusing results.  If multiple users are looking at the content of a directory with ABE enabled, the entries that get cached will depend on who looks at the directory first.  Subsequent users may see files that ABE on the server would have filtered out or files may be missing because they were filtered out for the original user. Although this issue can be resolved by disabling the NFS client readdir cache, this was deemed to be an unsuitable solution because it would create a dependency between a server share property and the configuration on all NFS clients, and there was the potential for differences in behavior across the various NFS clients.  It just seemed to add unnecessary administration complexity so we pulled it out. References for more information PSARC/2009/246 ZFS support for Access Based Enumeration PSARC/2009/375 ABE share property for NFS and SMB 6802734 Support for Access Based Enumeration 6802736 SMB share support for Access Based Enumeration Windows Access-based Enumeration

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  • Workshop in Denver canceled - thanks to hurricane Isaac

    - by Mike Dietrich
    Yesterday Roy did start his journey on time to travel to Denver, CO for today's Upgrade and Migration Workshop.  But unfortunately due to the remnants of  hurricane Issac moving up the East Coast and scrambling up flight schedules Roy's flight from NYC to Denver got canceled after a 3 hour delay leaving Manchester, NH, and there was no option to arrive in Denver this morning on time. So we apologize for canceling that workshop. The local marketing department will contact you regarding an alternative date. Sorry for any inconvenience!

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  • Hai mai pensato a quanto ti costa qualificare le tue opportunità commerciali?

    - by user812481
    Il successo delle attività di marketing è dovuto alla profonda conoscenza dei propri clienti: chi sono, cosa acquistano e perché, come preferiscono essere contattati. Se i dati sui clienti sono distribuiti su più sistemi, rispondere a queste domande diventa difficile ed oneroso. Hai bisogno di un mix di strumenti best-in-class per l'automazione della forza di vendita e per l'efficienza delle attività di marketing, facendo confluire i dati chiave in un unico punto di accesso, per una visione a 360 gradi dei clienti. Vorresti incrementare il ROI delle campagne di marketing, proponendo diversi messaggi in funzione dei differenti target, ottenendo così un maggior successo delle iniziative? Scopri come ottenere una conoscenza maggiore del target per creare campagne di successo, mirate e personalizzate, attraverso video in italiano e docuemtni da condividere con i vostri colleghi.

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  • Short Season, Long Models - Dealing with Seasonality

    - by Michel Adar
    Accounting for seasonality presents a challenge for the accurate prediction of events. Examples of seasonality include: ·         Boxed cosmetics sets are more popular during Christmas. They sell at other times of the year, but they rise higher than other products during the holiday season. ·         Interest in a promotion rises around the time advertising on TV airs ·         Interest in the Sports section of a newspaper rises when there is a big football match There are several ways of dealing with seasonality in predictions. Time Windows If the length of the model time windows is short enough relative to the seasonality effect, then the models will see only seasonal data, and therefore will be accurate in their predictions. For example, a model with a weekly time window may be quick enough to adapt during the holiday season. In order for time windows to be useful in dealing with seasonality it is necessary that: The time window is significantly shorter than the season changes There is enough volume of data in the short time windows to produce an accurate model An additional issue to consider is that sometimes the season may have an abrupt end, for example the day after Christmas. Input Data If available, it is possible to include the seasonality effect in the input data for the model. For example the customer record may include a list of all the promotions advertised in the area of residence. A model with these inputs will have to learn the effect of the input. It is possible to learn it specific to the promotion – and by the way learn about inter-promotion cross feeding – by leaving the list of ads as it is; or it is possible to learn the general effect by having a flag that indicates if the promotion is being advertised. For inputs to properly represent the effect in the model it is necessary that: The model sees enough events with the input present. For example, by virtue of the model lifetime (or time window) being long enough to see several “seasons” or by having enough volume for the model to learn seasonality quickly. Proportional Frequency If we create a model that ignores seasonality it is possible to use that model to predict how the specific person likelihood differs from average. If we have a divergence from average then we can transfer that divergence proportionally to the observed frequency at the time of the prediction. Definitions: Ft = trailing average frequency of the event at time “t”. The average is done over a suitable period of to achieve a statistical significant estimate. F = average frequency as seen by the model. L = likelihood predicted by the model for a specific person Lt = predicted likelihood proportionally scaled for time “t”. If the model is good at predicting deviation from average, and this holds over the interesting range of seasons, then we can estimate Lt as: Lt = L * (Ft / F) Considering that: L = (L – F) + F Substituting we get: Lt = [(L – F) + F] * (Ft / F) Which simplifies to: (i)                  Lt = (L – F) * (Ft / F)  +  Ft This latest expression can be understood as “The adjusted likelihood at time t is the average likelihood at time t plus the effect from the model, which is calculated as the difference from average time the proportion of frequencies”. The formula above assumes a linear translation of the proportion. It is possible to generalize the formula using a factor which we will call “a” as follows: (ii)                Lt = (L – F) * (Ft / F) * a  +  Ft It is also possible to use a formula that does not scale the difference, like: (iii)               Lt = (L – F) * a  +  Ft While these formulas seem reasonable, they should be taken as hypothesis to be proven with empirical data. A theoretical analysis provides the following insights: The Cumulative Gains Chart (lift) should stay the same, as at any given time the order of the likelihood for different customers is preserved If F is equal to Ft then the formula reverts to “L” If (Ft = 0) then Lt in (i) and (ii) is 0 It is possible for Lt to be above 1. If it is desired to avoid going over 1, for relatively high base frequencies it is possible to use a relative interpretation of the multiplicative factor. For example, if we say that Y is twice as likely as X, then we can interpret this sentence as: If X is 3%, then Y is 6% If X is 11%, then Y is 22% If X is 70%, then Y is 85% - in this case we interpret “twice as likely” as “half as likely to not happen” Applying this reasoning to (i) for example we would get: If (L < F) or (Ft < (1 / ((L/F) + 1)) Then  Lt = L * (Ft / F) Else Lt = 1 – (F / L) + (Ft * F / L)  

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  • Update: GTAS and EBS

    - by jeffrey.waterman
    Provided below are updated target date timeframes for provided patches for upcoming legislative enhancements.   Dates have been pushed out from previous dates provided due to changes in Treasury mandatory dates.  Mandatory dates for GTAS and IPAC have changes since previous target dates for patches were provided.   These are target dates, not commitments to deliver functionality. Deliverable Target Timeframes for Customer Patches Comments R12 GTAS Configuration Apr 2012 Patch is available GTAS Key Processes Oct/Nov 2012 Includes GTAS processes necessary to create the GTAS interface file, migration of FACTS balances to GTAS, GTAS Trial Balance, and GTAS Transaction Register. GTAS Reports Nov/Dec 2012 GTAS Trial Balance GTAS Transaction Register Capture of Trading Partner TAS/BETC Apr/May 2013 Includes modification necessary to capture BETC, Trading Partner TAS/BETC on relevant transactions. GTAS Other Processes May/Jun  2013 Includes GTAS Customer and Vendor  update processes. IPAC Aug/Sep Includes modification required to IPAC to accommodate Componentized TAS and BETC. 11i GTAS Configuration May 2012 Patch is available GTAS Key Processes Nov/Dec 2012 Includes GTAS processes necessary to create the GTAS interface file, migration of FACTS balances to GTAS, GTAS Trial Balance, and GTAS Transaction Register. GTAS Reports Dec/Jan 2012 GTAS Trial Balance GTAS Transaction Register Capture of Trading Partner TAS/BETC May/Jun 2013 Includes modification necessary to capture BETC, Trading Partner TAS/BETC on relevant transactions. GTAS Other Processes Jun/Jul 2013 Includes GTAS Customer and Vendor  update processes. IPAC Sep/Oct 2013 Includes modification required to IPAC to accommodate Componentized TAS and BETC.

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  • links for 2010-06-14

    - by Bob Rhubart
    White Paper: Application Portfolio Rationalization: How IT Standardization Fuels Growth Co-authors Hamidou Dia and Roy Hunter describe an Enterprise Architecture approach to application portfolio rationalization. (tags: oracle otn entarch) @soatoday: Cloud & Compliance: Write a Solid Prenup "Think of your cloud contract as a prenuptial agreement," says Oracle ACE Director Jordan Braunstein. "There must be clear recourse and commitments." (tags: soa cloud oracleace entarch) @fteter: Resilience and Relationships "Take a look at your own enterprise architecture with these ideas in mind," suggests Oracle ACE Director Floyd Teter, "and see if your outlook doesn't change." (tags: entarch complexity oracleace) @lucasjellema: Calling an EJB from a SOA Composite Application using the EJB Binding based on Java Interface Oracle ACE Director Lucas Jellema illustrates the use of one of several new capabilities in Oracle SOA Suite 11g R1 Patch Set 2 (11.1.1.3.0). (tags: soa oracleace middleware soasuite oracle)

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  • Week 17: Specialization Flashback

    - by sandra.haan
    Remember when E.T. phoned home and Ferris had a day off? Or when Michael Jackson did the moonwalk and Madonna was the Material Girl? That's what we call an 80's flashback. Remember when we offered you 11 specializations? That's what we call a Specialization flashback considering we now have over 35 Specializations available. A lot has changed since we rolled-out OPN Specialized last year. Listen in as Nick Kritikos talks about the latest specializations available. Now get out of that DeLorean and take a look at the Specialization Guide to determine how your company can get Specialized. Until next time, The OPN Communications Team

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  • Always disable the 8.3 name creation on Windows before installing WebCenter Content or WebLogic Server

    - by Kevin Smith
    You should always disable the 8.3 name creation feature when installing WebCenter Content on a Windows platform. The installs will normally work without it disabled, but you will find the weird 8.3 file and directory names in all the config files. Disabling it can also improve performance. On Windows XP and Windows Server 2003 and above you can do it with this command: fsutil.exe behavior set disable8dot3 1 To make sure it is disabled you can run this command to check: fsutil.exe behavior query disable8dot3 If the 8.3 file name creation is disabled you will see the following output from the command: The registry state of NtfsDisable8dot3NameCreation is 1 (Disable 8dot3 name creation on all volumes). Here is a Microsoft note on how to do this on Windows 2000 and Windows NT. How to Disable the 8.3 Name Creation on NTFS Partitions

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  • Developer Day @ OOP 2001with SOA Specialized Partners

    - by Jürgen Kress
    Oracle SOA Specialized Partners like Opitz Consulting participate in our key marketing events. Therefore make sure that you start your journey to SOA Specialization! ORACLE Developer Day auf der OOP: Entdecken Sie die Einsatzmöglichkeiten und Leistungsfähigkeit der Java-Technologie! incl. Live Hacking mit Special Guest: JAVA Guru Adam Bien! Enterprise-Anwendungen leicht gemacht! Beschleunigen Sie Ihre Entwicklung mit Java. Kommen Sie zum kostenlosen Ganztages-Workshop von ORACLE auf der OOP und lernen Sie die Leistungsfähigkeit von Java kennen. Erfahren Sie mehr über die Java Strategie und die Produktroadmap, welche Einsatzmöglichkeiten Java SE für Embedded erschließt und wie sich eine SOA und BPM-Lösung auf der Basis von Java realisieren lässt. Die vielfältigen Verbesserungen von Java EE6 erleichtern den Entwicklern das Leben erheblich. Kennen Sie bereits das Potential von Java EE6? Adam Bien wird Sie mit einem Live-Hacking von den Stühlen reißen. Torsten Winterberg, Oracle Fusion Middleware ACE Director und Danilo Schmiedel stellen vor wie Java Entwickler die Oracle SOA & BPM Lösungen einbinden können. Am Nachmittag können Sie dann in einer Hands-On Session mit Ihrem eigenen Laptop Java Persistence API, Java Beans, CDI und weitere Technologien ausprobieren. In diesem kostenlosen Workshop von Oracle können Sie sich mit Gleichgesinnten austauschen, sich die neueste Technik direkt von den Oracle Experten zeigen lassen und an praktischen Programmierübungen teilnehmen. Auf dieser Veranstaltung sind Sie richtig, wenn Sie mehr über den aktuellen Status der Java Roadmap wissen wollen, mehr über Java Technologie- und Lösungen (Java SE, ME, etc) erfahren wollen, die Plattform Java EE erproben, die Vorteile der Java EE 6 für Ihre Arbeit verstehen möchten, wenn Sie auf eine Enterprise-Landschaft hochskalieren wollen, mit Java Server Faces Front-Ends erstellen, neue Entwicklungsprojekte planen oder gerade in Angriff annehmen. Registrieren Sie sich jetzt!   ICM - Internationales Congress Center München Am Messesee, Trudering-Riem 81829 München 27. Januar 2011 9.00 Uhr - 16.30 Uhr For more information on SOA Specialization and the SOA Partner Community please feel free to register at www.oracle.com/goto/emea/soa (OPN account required) Blog Twitter LinkedIn Mix Forum Wiki Website Technorati Tags: OOP,Adam Bien,Torsten Winterberg,Opitz Consulting,Oracle,SOA,SOA Specialization,OPN

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  • CRM vs VRM

    - by David Dorf
    In a previous post, I discussed the potential power of combining social, interest, and location graphs in order to personalize marketing and shopping experiences for consumers.  Marketing companies have been trying to collect detailed information for that very purpose, a large majority of which comes from tracking people on the internet.  But their approaches stem from the one-way nature of traditional advertising.  With TV, radio, and magazines there is no opportunity to truly connect to customers, which has trained marketing companies to [covertly] collect data and segment customers into easily identifiable groups.  To a large extent, we think of this as CRM. But what if we turned this viewpoint upside-down to accommodate for the two-way nature of social media?  The notion of marketing as conversations was the basis for the Cluetrain, an early attempt at drawing attention to the fact that customers are actually unique humans.  A more practical implementation is Project VRM, which is a reverse CRM of sorts.  Instead of vendors managing their relationships with customers, customers manage their relationships with vendors. Your shopping experience is not really controlled by you; rather, its controlled by the retailer and advertisers.  And unfortunately, they typically don't give you a say in the matter.  Yes, they might tailor the content for "female age 25-35 interested in shoes" but that's not really the essence of you, is it?  A better approach is to the let consumers volunteer information about themselves.  And why wouldn't they if it means a better, more relevant shopping experience?  I'd gladly list out my likes and dislikes in exchange for getting rid of all those annoying cookies on my harddrive. I really like this diagram from Beyond SocialCRM as it captures the differences between CRM and VRM. The closest thing to VRM I can find is Buyosphere, a start-up that allows consumers to track their shopping history across many vendors, then share it appropriately.  Also, Amazon does a pretty good job allowing its customers to edit their profile, which includes everything you've ever purchased from Amazon.  You can mark items as gifts, or explicitly exclude them from their recommendation engine.  This is a win-win for both the consumer and retailer. So here is my plea to retailers: Instead of trying to infer my interests from snapshots of my day, please just ask me.  We'll both have a better experience in the long-run.

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  • Is Sql Server 2008 R2 unsupported by Operations Manager (SCOM) 2007 R2?

    - by bwerks
    Hey all, I'm performing a test configuration of System Center Operations Manager 2007 R2, on a system prepared with Sql Server 2008 R2. Unfortunately, the Scom 2007 R2 prerequisites verification program seems to be detecting exact versions of Sql Server, and not simply a minimum version, like it claims: "System Center Operations Manager 2007 R2 requires SQL Server 2005 Standard or Enterprise Edition with SP1 and above or SQL Server 2008 Standard or Enterprise edition with SP1 and above. Note: Operations Manager 2007 R2 does not support a 32-bit Operations Manager Operations database, Reporting Server data warehouse or Audit Collection database on a 64-bit operating system." I had hoped that this was just a helper tool that was assisting in getting me off the ground, but unfortunately it seems as if it's actually used as a gate for the installation to proceed. Has anyone encountered this? If so, is there a way to fool the installer into thinking that it has a proper version, or otherwise alert it to my valid configuration?

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  • Announcement: New Tutorial - Using ADF Faces and ADF Controller with OEPE

    - by Juan Camilo Ruiz
    We are happy to announce the publication of our newest tutorial, that explores some of the latest features added in our OEPE 12c release for ADF Development. The tutorial walks you through the creation of an ADF application that uses the ADF Faces Rich Client components, in combination with the ADF Controler, ADF Model and JPA. By developing this tutorial you will work and understand various features added into OEPE 12c that are specific to ADF development such as: ADF taskflow editor Visual pageDefinition editor ADF integration with AppXRay Navigation across artifacts such as pages, pageDefinition, managed beans, etc. Property inspector for ADF Faces components. Stay tunned for more and exciting tutorials that explore this and much more OEPE features. And of course your feedback is always welcome!

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  • Announcing Upcoming SOA and JMS Introductory Blog Posts

    - by John-Brown.Evans
    Announcing Upcoming SOA and JMS Introductory Blog Posts Beginning next week, SOA Proactive Support will begin posting a series of introductory blogs here on working with JMS in a SOA context. The posts will begin with how to set up JMS in WebLogic server, lead you through reading and writing to a JMS queue from the WLS Java samples, continue with how to access it from a SOA composite and, finally, describe how to set up and access AQ JMS (Advanced Queuing JMS) from a SOA/BPEL process. The posts will be of a tutorial nature and include step-by-step examples. Your questions and feedback are encouraged. The following topics are planned: How to Create a Simple JMS Queue in Weblogic Server 11g Using the QueueSend.java Sample Program to Send a Message to a JMS Queue Using the QueueReceive.java Sample Program to Read a Message from a JMS Queue How to Create an 11g BPEL Process Which Writes a Message Based on an XML Schema to a JMS Queue How to Create an 11g BPEL Process Which Reads a Message Based on an XML Schema from a JMS Queue How to Set Up an AQ JMS (Advanced Queueing JMS) for SOA Purposes How to Write to an AQ JMS Queue from a BPEL Process How to Read from an AQ JMS Queue from a BPEL Process

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  • Linking to BIP reports from BIEE Analyses

    - by Tim Dexter
    Bryan found a great blog post from Fiston over on the OBIEEStuff blog. It covers the ability to link to a BIP report from a BIEE analyses report with the ability to pass parameters to it. I have doubled checked and you need to be on OBIEE 11.1.1.5 to see the 'Shared Report Link' mentioned in Fiston's post when you open a BIP report from the /analytics side of the house. Enjoy! OBIEE to BIP trick

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  • Customisation / overriding of the Envelop ecs files

    - by Dheeraj Kumar M
    There are few usecases where the requirement is to customise the envelop information (Interchange/Group ecs file). Such scenarios might be required to be used for only few of the customers. Hence, in addition to the default seeded envelop definitions, it also required to upload the customised definitions. Here is the steps for achieving the same. 1. Create only the Interchange ecs and save 2. Create only the group ecs and save 3. Use the same in B2B 1. Create only the Interchange ecs and save :       Open the document editor and select the required version and doctype. During creating new ecs, ensure to select the checkbox for insert envelop.       Once created, delete the group and transactionset nodes and retain only the Interchange ecs nodes, including both header and trailer. Save this file. 2. Create only the group ecs and save       After creating the ecs file as mentioned in steps of Interchange creation, delete the Interchange and transactionset nodes and retain only the group ecs nodes, including both header and trailer. Save this file. 3. Use the same in B2B       These newly created ecs can be used in B2B by 2 ways.              a. By overriding at the trading partner Level:              This will be very useful when the configuration is complete and then need to incorporate the customisation. In this case, just select the Trading partner - document - select the document which need to be customised.              Upload the newly created Interchange and group ECS files under the Interchange and group tabs respectively and re-deply the associated agreement.              The advantage of this approach is              - Flexibility to add customised envelop definitions to the partners              - Save the re-work of design time effort.              b. By adding another document definition in Administration - document screen:              This scenario can be used if there is no configuration done at the trading partner level. Create the required document revision and overtide the Interchange and group ECS files under the Interchange and group tabs respectively. Add the document in Trading partner - document. Create and deploy the agreements

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  • View Link inConsistency

    - by Abhishek Dwivedi
    What is View Link Consistency? When multiple instances (say VO1, VO2, VO3 etc) of an EO-based VO are based on the same underlying EO, a new row created in one of these VO instances (say VO1)can be automatically added (without re-query) to the row sets of the others (VO2, VO3 etc ). This capability is known as the view link consistency. This feature works for any VO for which it is enabled, regardless of whether they are involved in a view link or not. What causes View Link inConsistency? Unless jbo.viewlink.consistent  is disabled for this VO (or globally), or setAssociationConsistent(false) is applied, any of the following can cause View Link inConsistency.  1. setWhereClause 2. Unreferenced secondary EO 3. findByViewCriteria() 4. Using view link accessor row set Why does this happen - View Link inConsistency? Well, there can be one of the following reasons. a. In case of 1 & 2, the view link consistency flag is disabled on that view object. b. As far as 3 is concerned, findByViewCriteria is used to retrieve a new row set to process programmatically without changing the contents of the default row set. In this case, unlike previous cases, the view link consistency flag is not disabled, meaning that the changes in the default row set would be reflected in the new row set.  However, the opposite doesn't hold true. For instance, if a row is deleted from this new row set, the corresponding row in the default row set does not get deleted. In one of my features, which involved deletion of row(s), I resolved the view link inconsistency issue by replacing findByViewCriteria by applyViewCriteria. b. For 4, it's similar to 3 - whenever a view link accessor row set is retrieved, a new row set is created. Now, creating new row set does not mean re-executing the query each time, only creating a new instance of a RowSet object with its default iterator reset to the "slot" before the first row. Also, please note that this new row set always originates from an internally created view object instance, not one you that added to the data model. This internal view object instance is created as needed and added with a system-defined name to the root application module. Anyway, the very reason a distinct, internally-created view object instance is used is to guarantee that it remains unaffected by developer-related changes to their own view objects instances in the data model.

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  • ODI y Las funciones GROUP BY, SUM, etc

    - by Edmundo Carmona
    Las bondades de ODI Pase un buen rato buscando la forma de usar la función SUM en ODI, encontré que se puede modificar el KM para agregar la función "GROUP by" y agregar una función jython en el atributo destino, pero esa solución es muy "DURA" ya que si agregamos en el futuro un nuevo atributo, tendríamos que cambiar nuevamente el KM.  Pues bien la solución es bastante más fácil, resulta que podemos agregar la función SUM, MIN, MAX, etcétera a cualquier atributo numérico y ODI automáticamente agregará la función GROUP by con el resto de los atributos. Por ejemplo. La tabla destino tiene los siguientes atributos y asignaciones (mapeos en spanglish): T1.Att1 = T2.Att1 T1.Att2 = T2.Att2 T1.Att3 = SUM(T2.Att3)  ODI crea este Quey: Select T2.Att1, T2.Att2, SUM(Att3) from Table2 T2 group by T2.Att1, T2.Att2 Listo Nada más sencillo.

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  • What's Old is New Again

    - by David Dorf
    Last night I told my son he could stream music to his tablet "from the cloud" (in this case, the Amazon Cloud).  He paused, then said, "what is the cloud?"  I replied, "a bunch of servers connected to the internet."  Apparently he had visions of something much more magnificent.  Another similar term is "big data."  These marketing terms help to quickly convey topics but are oversimplifications that are open to many interpretations.  At their core, those terms a shiny packages holding recycled ideas. I see many headlines declaring big data changes everything, but it doesn't.  Savvy retailers have been dealing with large volumes of data since the electronic cash register was invented.  But the there have a been a few changes to the landscape that make big data a topic of conversation: 1. Computing power has caught up to storage volumes. Its now possible to more thoroughly analyze the copious volumes of data retailers have been squirreling away.  CPUs are faster, sold state drives more plentiful, and new ways to store and search data are available.  My iPhone is more power than the computer used in the Apollo mission to the moon. 2. Unstructured data is everywhere.  The Web used to be where retailers published product information, but now users are generating the bulk of the content in the form of comments, videos, and "likes."  The variety of information available to retailers is huge, and it meaning difficult to discern. 3. Everything is connected.  Looking at a report from my router, there are no less than 20 active devices on my home network.  We can track the location of mobile phones, tag products with RFID, and set our thermostats (I love my Nest) from a thousand miles away.  Not only is there more data, but its arriving at higher velocity. Careful readers will note the three Vs that help define so-called big data: volume, variety, and velocity. We now have more volume, more variety, and more velocity and different technologies to deal with them.  But at the heart, the objectives are still the same: Informed decisions Accurate forecasts Improved optimizations So don't let the term "big data" throw you off the scent.  Retailers still need to execute on the basics.  But do take a fresh look at the data that's available and the new technologies to process it.  The landscape will continue to change and agile organizations will always be reevaluating their approaches.  You can just add some more weapons to the arsenal.

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  • To access parentAM instance from within nestedAM JUnit test class

    - by Abhishek Dwivedi
    In normal model project, the way to access parent AM from within nested AM is simple - ParentAMImpl parentAM =  (ParentAMImpl)this.getRootApplicationModule(); However, the same approach doesn't help in JUnit model project. Use the following approach -  Inside setUp() method --  ParentAM parentAM =  (ParentAM)Configuration.createRootApplicationModule(ROOT_AM, ROOT_AM_CONFIG); Inside tearDown() method -- Configuration.releaseRootApplicationModule(parentAM, true);

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  • Using Windows Previous Versions to access ZFS Snapshots (July 14, 2009)

    - by user12612012
    The Previous Versions tab on the Windows desktop provides a straightforward, intuitive way for users to view or recover files from ZFS snapshots.  ZFS snapshots are read-only, point-in-time instances of a ZFS dataset, based on the same copy-on-write transactional model used throughout ZFS.  ZFS snapshots can be used to recover deleted files or previous versions of files and they are space efficient because unchanged data is shared between the file system and its snapshots.  Snapshots are available locally via the .zfs/snapshot directory and remotely via Previous Versions on the Windows desktop. Shadow Copies for Shared Folders was introduced with Windows Server 2003 but subsequently renamed to Previous Versions with the release of Windows Vista and Windows Server 2008.  Windows shadow copies, or snapshots, are based on the Volume Snapshot Service (VSS) and, as the [Shared Folders part of the] name implies, are accessible to clients via SMB shares, which is good news when using the Solaris CIFS Service.  And the nice thing is that no additional configuration is required - it "just works". On Windows clients, snapshots are accessible via the Previous Versions tab in Windows Explorer using the Shadow Copy client, which is available by default on Windows XP SP2 and later.  For Windows 2000 and pre-SP2 Windows XP, the client software is available for download from Microsoft: Shadow Copies for Shared Folders Client. Assuming that we already have a shared ZFS dataset, we can create ZFS snapshots and view them from a Windows client. zfs snapshot tank/home/administrator@snap101zfs snapshot tank/home/administrator@snap102 To view the snapshots on Windows, map the dataset on the client then right click on a folder or file and select Previous Versions.  Note that Windows will only display previous versions of objects that differ from the originals.  So you may have to modify files after creating a snapshot in order to see previous versions of those files. The screenshot above shows various snapshots in the Previous Versions window, created at different times.  On the left panel, the .zfs folder is visible, illustrating that this is a ZFS share.  The .zfs setting can be toggled as desired, it makes no difference when using previous versions.  To make the .zfs folder visible: zfs set snapdir=visible tank/home/administrator To hide the .zfs folder: zfs set snapdir=hidden tank/home/administrator The following screenshot shows the Previous Versions panel when a file has been selected.  In this case the user is prompted to view, copy or restore the file from one of the available snapshots. As can be seen from the screenshots above, the Previous Versions window doesn't display snapshot names: snapshots are listed by snapshot creation time, sorted in time order from most recent to oldest.  There's nothing we can do about this, it's the way that the interface works.  Perhaps one point of note, to avoid confusion, is that the ZFS snapshot creation time isnot the same as the root directory creation timestamp. In ZFS, all object attributes in the original dataset are preserved when a snapshot is taken, including the creation time of the root directory.  Thus the root directory creation timestamp is the time that the directory was created in the original dataset. # ls -d% all /home/administrator         timestamp: atime         Mar 19 15:40:23 2009         timestamp: ctime         Mar 19 15:40:58 2009         timestamp: mtime         Mar 19 15:40:58 2009         timestamp: crtime         Mar 19 15:18:34 2009 # ls -d% all /home/administrator/.zfs/snapshot/snap101         timestamp: atime         Mar 19 15:40:23 2009         timestamp: ctime         Mar 19 15:40:58 2009         timestamp: mtime         Mar 19 15:40:58 2009         timestamp: crtime         Mar 19 15:18:34 2009 The snapshot creation time can be obtained using the zfs command as shown below. # zfs get all tank/home/administrator@snap101NAME                             PROPERTY  VALUEtank/home/administrator@snap101  type      snapshottank/home/administrator@snap101  creation  Mon Mar 23 18:21 2009 In this example, the dataset was created on March 19th and the snapshot was created on March 23rd. In conclusion, Shadow Copies for Shared Folders provides a straightforward way for users to view or recover files from ZFS snapshots.  The Windows desktop provides an easy to use, intuitive GUI and no configuration is required to use or access previous versions of files or folders. REFERENCES FOR MORE INFORMATION ZFS ZFS Learning Center Introduction to Shadow Copies of Shared Folders Shadow Copies for Shared Folders Client

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  • Where Facebook Stands Heading Into 2013

    - by Mike Stiles
    In our last blog, we looked at how Twitter is positioned heading into 2013. Now it’s time to take a similar look at Facebook. 2012, for a time at least, seemed to be the era of Facebook-bashing. Between a far-from-smooth IPO, subsequent stock price declines, and anxiety over privacy, the top social network became a target for comedians, politicians, business journalists, and of course those who were prone to Facebook-bash even in the best of times. But amidst the “this is the end of Facebook” headlines, the company kept experimenting, kept testing, kept innovating, and pressing forward, committed as always to the user experience, while concurrently addressing monetization with greater urgency. Facebook enters 2013 with over 1 billion users around the world. Usage grew 41% in Brazil, Russia, Japan, South Korea and India in 2012. In the Middle East and North Africa, an average 21 new signups happen per minute. Engagement and time spent on the site would impress the harshest of critics. Facebook, while not bulletproof, has become such an integrated daily force in users’ lives, it’s getting hard to imagine any future mass rejection. You want to see a company recognizing weaknesses and shoring them up. Mobile was a weakness in 2012 as Facebook was one of many caught by surprise at the speed of user migration to mobile. But new mobile interfaces, better mobile ads, speed upgrades, standalone Messenger and Pages mobile apps, and the big dollar acquisition of Instagram, were a few indicators Facebook won’t play catch-up any more than it has to. As a user, the cool thing about Facebook is, it knows you. The uncool thing about Facebook is, it knows you. The company’s walking a delicate line between the public’s competing desires for customized experiences and privacy. While the company’s working to make privacy options clearer and easier, Facebook’s Paul Adams says data aggregation can move from acting on what a user is engaging with at the moment to a more holistic view of what they’re likely to want at any given time. To help learn about you, there’s Open Graph. Embedded through diverse partnerships, the idea is to surface what you’re doing and what you care about, and help you discover things via your friends’ activities. Facebook’s Director of Engineering, Mike Vernal, says building mobile social apps connected to Facebook in such ways is the next wave of big innovation. Expect to see that fostered in 2013. The Facebook site experience is always evolving. Some users like that about Facebook, others can’t wait to complain about it…on Facebook. The Facebook focal point, the News Feed, is not sacred and is seeing plenty of experimentation with the insertion of modules. From upcoming concerts, events, suggested Pages you might like, to aggregated “most shared” content from social reader apps, plenty could start popping up between those pictures of what your friends had for lunch.  As for which friends’ lunches you see, that’s a function of the mythic EdgeRank…which is also tinkered with. When Facebook changed it in September, Page admins saw reach go down and the high anxiety set in quickly. Engagement, however, held steady. The adjustment was about relevancy over reach. (And oh yeah, reach was something that could be charged for). Facebook wants users to see what they’re most likely to like, based on past usage and interactions. Adding to the “cream must rise to the top” philosophy, they’re now even trying out ordering post comments based on the engagement the comments get. Boy, it’s getting competitive out there for a social engager. Facebook has to make $$$. To do that, they must offer attractive vehicles to marketers. There are a myriad of ad units. But a key Facebook marketing concept is the Sponsored Story. It’s key because it encourages content that’s good, relevant, and performs well organically. If it is, marketing dollars can amplify it and extend its reach. Brands can expect the rollout of a search product and an ad network. That’s a big deal. It takes, as Open Graph does, the power of Facebook’s user data and carries it beyond the Facebook environment into the digital world at large. No one could target like Facebook can, and some analysts think it could double their roughly $5 billion revenue stream. As every potential revenue nook and cranny is explored, there are the users themselves. In addition to Gifts, Facebook thinks users might pay a few bucks to promote their own posts so more of their friends will see them. There’s also word classifieds could be purchased in News Feeds, though they won’t be called classifieds. And that’s where Facebook stands; a wildly popular destination, a part of our culture, with ever increasing functionalities, the biggest of big data, revenue strategies that appeal to marketers without souring the user experience, new challenges as a now public company, ongoing privacy concerns, and innovations that carry Facebook far beyond its own borders. Anyone care to write a “this is the end of Facebook” headline? @mikestilesPhoto via stock.schng

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  • Keystore and Credential Store interplay in OWSM - 11g

    - by Prakash Yamuna
    One of the most common problems faced by customer's is the use of the keystore and it's interplay with the credential store.Here is a picture that describes these relationships.(Click on the picture for a larger image). The picture makes some assumptions in describing the relationship. Some of assumptions are: a) the key used for signing and encryption are the same. b) A keystore can have multiple keys and each key can have it's own alias. In the picture I show only a single key with alias "orakey". c) The keystore being described here is a JKS keystore. Things can vary slightly for other type of keystores. I hope to have a detailed How To that provides the larger picture and then shows these relationships in that context and this picture was created in the context of that How-To. However I think people will find this picture useful on a standalone basis as well. The <serviceInstance> is the entry you will find in jps-config.xml

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  • Tyrus 1.8

    - by Pavel Bucek
    Another version of Tyrus, the reference implementation of JSR 356 – Java API for WebSocket is out! Complete list of fixes and features is below, but let me describe some of the new features in more detail. All information presented here is also available in Tyrusdocumentation. What’s new? First to mention is that JSR 356 Maintenance review Ballot is over and the change proposed for 1.1 release was accepted. More details about changes in the API can be found in this article. Important part is that Tyrus 1.8 implements this API, meaning you can use Lambda expressions and some features of Nashorn without the need for any workarounds. Almost all other features are related to client side support, which was significantly improved in this release. Firstly – I have to admit, that Tyrus client contained security issue – SSL Hostname verification was not performed when connecting to “wss” endpoints. This was fixed as part of TYRUS-339 and resulted in some changes in the client configuration API. Now you can control whether HostnameVerification should be performed (SslEngineConfigurator#setHostnameVerificationEnabled(boolean)) or even set your own HostnameVerifier (please use carefully): #setHostnameVerifier(…). Detailed description can be found in Host verification chapter. Another related enhancement is support for Http Basic and Digest authentication schemes. Tyrus client now enables users to provide credentials and underlying implementation will take care of everything else. Our implementation is strictly non pre-emptive, so the login information is sent always as a response to 401 Http Status Code. If the Basic and Digest are not good enough and there is a need to use some custom scheme or something which is not yet supported in Tyrus, custom Authenticator can be registered and the authentication part of the handshake process will be handled by it. Please seeClient HTTP Authentication chapter in the user guide for more details. There are other features, like fine-grain threadpool configuration for JDK client container, build-in Http redirect support and some reshuffling related to unifying the location of client configuration classes and properties definition – every property should be now part of ClientProperties class. All new features are described in the user guide – in chapterTyrus proprietary configuration. Update – Tyrus 1.8.1 There was another slightly late reported issue related to running in environments with SecurityManager enabled, so this version fixes that. Another noteworthy fixes are TYRUS-355 and TYRUS-361; the first one is about incorrect thread factory used for shared container timeout, which resulted in JVM waiting for that thread and not exiting as it should. The other issue enables relative URIs in Location header when using redirect feature. Links Tyrus homepage mailing list JIRA Complete list of changes: Bug [TYRUS-333] – Multiple endpoints on one client [TYRUS-334] – When connection is closed by a peer, periodic heartbeat pong is not stopped [TYRUS-336] – ReaderBuffer.getNextChars() keeps blocking a server thread after client has closed the session [TYRUS-338] – JDK client SSL filter needs better synchronization during handshake phase [TYRUS-339] – SSL hostname verification is missing [TYRUS-340] – Test PathParamTest are not stable with JDK client [TYRUS-341] – A control frame inside a stream of continuation frames is treated as the part of the stream [TYRUS-343] – ControlFrameInDataStreamTest does not pass on GF [TYRUS-345] – NPE is thrown, when shared container timeout property in JDK client is not set [TYRUS-346] – IllegalStateException is thrown, when using proxy in JDK client [TYRUS-347] – Introduce better synchronization in JDK client thread pool [TYRUS-348] – When a client and server close connection simultaneously, JDK client throws NPE [TYRUS-356] – Tyrus cannot determine the connection port for a wss URL [TYRUS-357] – Exception thrown in MessageHandler#OnMessage is not caught in @OnError method [TYRUS-359] – Client based on Java 7 Asynchronous IO makes application unexitable Improvement [TYRUS-328] – JDK 1.7 AIO Client container – threads – (setting threadpool, limits, …) [TYRUS-332] – Consolidate shared client properties into one file. [TYRUS-337] – Create an SSL version of Basic Servlet test New Feature [TYRUS-228] – Add client support for HTTP Basic/Digest Task [TYRUS-330] – create/run tests/servlet/basic via wss [TYRUS-335] – [clustering] – introduce RemoteSession and expose them via separate method (not include remote sessions in the getOpenSessions()) [TYRUS-344] – Introduce Client support for HTTP Redirect

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