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The DEP Data Execution Prevention is a security feature that has been available since Windows XP SP2.You will also find this feature in Windows 7, 8 or.Download Vista DreamScenes, Windows 7 Themes, Win 7 Themes, Win7 Themes, Vista Themes, XP Skins Visual Styles and desktop themes for DesktopX, WindowBlinds.E-5fK7NxPo/0.jpg' alt='Free Windows Vista Theme For Windows Xp' title='Free Windows Vista Theme For Windows Xp' />Working with the Windows Registry Windows 1.Vista, XP Updated Windows 1.Free Windows Vista Theme For Windows Xp' title='Free Windows Vista Theme For Windows Xp' />Customization.In this guide, you will learn what the Windows Registry is, how to access and configure it, and how to backup and restore it.This guide covers the following What is the Windows Registry The Windows registry stores Windows settings, individual program settings, and other important configuration information about your PC.The registry acts like a large shared database for applications to store configuration data and to interact with other applications.Access the Windows Registry Editor.In Windows 1. 0, 8, 7, and Vista, press the Start button, type regedit, and press Enter.In Windows XP, click Start Run Windows Key R, type regeditand press Enter.The registry is made up of the following components To find out more about the root registry keys, check out this guide What Do HKCR, HKCU, HKLM, HKU, and HKCC Mean Registry Root KeysBack up the Windows Registry.You may back up the entire registry, or a single key you are working on Back up the entire registry using System Restore.Windows 1. 0, 8, 7, Vista.Click Start, type systempropertiesprotectionin the Start Search box, and press Enter.If you are prompted for an administrator password or for a confirmation, type the password, or click Allow.Wait for Windows to search for available disks and most recent restore points.Click Create. Type a name for the restore point and then click Create. Cost To Install Xm Satellite In Lexus . After the restore point has been created successfully, click OK two times.Note If System Restore is turned off, click to select the local disk, click Apply and then click Create.Windows XPClick Start, click Run, type System.Rootsystem. 32restorerstrui.OKOn the Welcome to System Restore page, click Create a restore point, and then click Next.On the Create a Restore Point page, type a name for the restore point and then click Create.After the restore point has been created, click Close.Note If System Restore is turned off, you receive a message that asks whether you want to turn on System Restore now.Click Yes. Then, in the System Properties dialog box, click to clear the Turn off System Restore check box, click OK, and then repeat this step.Note This method only provides recovery capabilities if you need to perform a system restore.How to perform a system restore.Back up the Entire Registry to a File.Note I do not recommend restoring from a file created using this method however, you can use this method to take a snapshot of your registry.This file can be opened in any text editor and referred to for previous values and keys you may have deletededited.To backup the entire registry to a file Open the registry editor.Right click Computer in the left hand column and click Export.Give the backup a name and save the file.Back up a Single Key.To back up a single registry key, find the key you want to back up, right click on it, and click Export.Restore the Windows Registry.You may restore the entire registry, or a single key you are working on Restore the Entire Registry from a System Restore Point.Note If you elected to make a restore point to backup your registry, you can use it to revert any changes you may have made.This is the safest method however, a system restore will roll back any Windows Updates, program installations and removals etc.Windows 1. 0, 8, 7, Vista.Click Start, type systempropertiesprotectionin the Start Search box, and press Enter.If you are prompted for an administrator password or for a confirmation, type the password, or click Allow.Wait for Windows to search for available disks and most recent restore points.Click System Restore.Select Choose a different restore point and click Next.Select the restore point that you want to use and click Next.Confirm your restore point, and then click this restores the selected Windows configuration and then restarts the computer.Log on to your computer.When the System Restore confirmation page appears, click OKWindows XPClick Start, click Run, type System.Rootsystem. 32restorerstrui.OKOn the Welcome to System Restore page, click Restore my computer to an earlier time if it is not already selected, and click Next.On the Select a Restore Point page, click the system checkpoint.In the On this list select the restore point area, click an entry that is named Guided Help Registry Backup, and click Next.If a System Restore message appears that lists configuration changes that System Restore will make, click OKOn the Confirm Restore Point Selection page, click Next.System Restore restores the previous Windows XP configuration and then restarts the computer.Log on to the computer.When the System Restore confirmation page appears, click OKRestoring a Single Key.To restore a single key Find the key that you previously saved.Double click on the file and click Yes.Add Keys or Values.In some of the tutorials on this website you will need to create a new key or value.Add a New Key. To add a new key, do the following Right click on the parent key.Click New Key. Follow the guides instructions for what key name to assign.Add a New Value. To add a new value do the following Navigate to the key that you want to add a value to.Right click in the blank space of the right pane and click New xx Where xx is the value specified in the guideFollow the guides instructions for what value to assign.Examples of Modifying the Registry.Here are some example guides that involve registry modification For more examples, go here Disable Access to the Registry.If youre using a Professional or Ultimate version of Windows, you can disable access to the Registry Editor using the Group Policy Editor.Rich is the owner and creator of Windows Guides he spends his time breaking things on his PC so he can write how to guides to fix them.Related. Free PC tips by email. Introduction to Linux.Why partition Most people have a vague knowledge of what partitions are, since every operating system has the ability to create or remove them.It may seem strange that Linux uses more than one partition on the same disk, even when using the standard installation procedure, so some explanation is called for.One of the goals of having different partitions is to achieve higher data security in case of disaster.By dividing the hard disk in partitions, data can be grouped and separated.When an accident occurs, only the data in the partition that got the hit will be damaged, while the data on the other partitions will most likely survive.This principle dates from the days when Linux didnt have journaled file systems and power failures might have lead to disaster.The use of partitions remains for security and robustness reasons, so a breach on one part of the system doesnt automatically mean that the whole computer is in danger.This is currently the most important reason for partitioning.What if you could throw a virtual party whenever you want that your friends from around the world could attend at a seconds notice Thats the idea behind.R Starts the R console under UnixLinux.The R GUI versions under Windows and Mac OS X can be started by doubleclicking their icons.Sublime Text 3. 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Features.Refreshed UI theme, including complete DPI support.Added Adaptive theme support, that inherits colors from the color scheme.Download the free trial version below to get started.Doubleclick the downloaded file to install the software.A simple example a user creates a script, a program or a web application that starts filling up the disk.If the disk contains only one big partition, the entire system will stop functioning if the disk is full.If the user stores the data on a separate partition, then only that data partition will be affected, while the system partitions and possible other data partitions keep functioning.Mind that having a journaled file system only provides data security in case of power failure and sudden disconnection of storage devices.Install Vim Color Scheme Linux Download' title='Install Vim Color Scheme Linux Download' />This does not protect your data against bad blocks and logical errors in the file system.In those cases, you should use a RAID Redundant Array of Inexpensive Disks solution.Partition layout and types.There are two kinds of major partitions on a Linux system data partition normal Linux system data, including the root partition containing all the data to start up and run the system and swap partition expansion of the computers physical memory, extra memory on hard disk.Most systems contain a root partition, one or more data partitions and one or more swap partitions.Systems in mixed environments may contain partitions for other system data, such as a partition with a FAT or VFAT file system for MS Windows data.Most Linux systems use fdisk at installation time to set the partition type.As you may have noticed during the exercise from Chapter 1, this usually happens automatically.On some occasions, however, you may not be so lucky.In such cases, you will need to select the partition type manually and even manually do the actual partitioning.The standard Linux partitions have number 8.Update With Two Tables Mysql Database .The fdisk utility has built in help, should you forget these values.Apart from these two, Linux supports a variety of other file system types, such as the relatively new Reiser file system, JFS, NFS, FATxx and many other file systems natively available on other proprietary operating systems.The standard root partition indicated with a single forward slash, is about 1.MB, and contains the system configuration files, most basic commands and server programs, system libraries, some temporary space and the home directory of the administrative user.A standard installation requires about 2.MB for the root partition.Swap space indicated with swap is only accessible for the system itself, and is hidden from view during normal operation.Swap is the system that ensures, like on normal UNIX systems, that you can keep on working, whatever happens.On Linux, you will virtually never see irritating messages like Out of memory, please close some applications first and try again, because of this extra memory.The swap or virtual memory procedure has long been adopted by operating systems outside the UNIX world by now.Using memory on a hard disk is naturally slower than using the real memory chips of a computer, but having this little extra is a great comfort.We will learn more about swap when we discuss processes in Chapter 4.Linux generally counts on having twice the amount of physical memory in the form of swap space on the hard disk.When installing a system, you have to know how you are going to do this.An example on a system with 5.MB of RAM 1st possibility one swap partition of 1 GB2nd possibility two swap partitions of 5.MB3rd possibility with two hard disks 1 partition of 5.MB on each disk.The last option will give the best results when a lot of IO is to be expected.Read the software documentation for specific guidelines.Some applications, such as databases, might require more swap space.Others, such as some handheld systems, might not have any swap at all by lack of a hard disk.Swap space may also depend on your kernel version.The kernel is on a separate partition as well in many distributions, because it is the most important file of your system.If this is the case, you will find that you also have a boot partition, holding your kernels and accompanying data files.The rest of the hard disks is generally divided in data partitions, although it may be that all of the non system critical data resides on one partition, for example when you perform a standard workstation installation.When non critical data is separated on different partitions, it usually happens following a set pattern a partition for user programs usra partition containing the users personal data homea partition to store temporary data like print and mail queues vara partition for third party and extra software optOnce the partitions are made, you can only add more.Changing sizes or properties of existing partitions is possible but not advisable.The division of hard disks into partitions is determined by the system administrator.On larger systems, he or she may even spread one partition over several hard disks, using the appropriate software.Most distributions allow for standard setups optimized for workstations average users and for general server purposes, but also accept customized partitions.During the installation process you can define your own partition layout using either your distribution specific tool, which is usually a straight forward graphical interface, or fdisk, a text based tool for creating partitions and setting their properties.A workstation or client installation is for use by mainly one and the same person.The selected software for installation reflects this and the stress is on common user packages, such as nice desktop themes, development tools, client programs for E mail, multimedia software, web and other services.Everything is put together on one large partition, swap space twice the amount of RAM is added and your generic workstation is complete, providing the largest amount of disk space possible for personal use, but with the disadvantage of possible data integrity loss during problem situations.On a server, system data tends to be separate from user data.Programs that offer services are kept in a different place than the data handled by this service.Different partitions will be created on such systems a partition with all data necessary to boot the machinea partition with configuration data and server programsone or more partitions containing the server data such as database tables, user mails, an ftp archive etc.Servers usually have more memory and thus more swap space.Certain server processes, such as databases, may require more swap space than usual see the specific documentation for detailed information.For better performance, swap is often divided into different swap partitions.Mount points. 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No. SQL Wikipedia, la enciclopedia libre.En informtica, No.SQL a veces llamado no slo SQL es una amplia clase de sistemas de gestin de bases de datos que difieren del modelo clsico de SGBDR Sistema de Gestin de Bases de Datos Relacionales en aspectos importantes, siendo el ms destacado que no usan SQL como lenguaje principal de consultas.Los datos almacenados no requieren estructuras fijas como tablas, normalmente no soportan operaciones JOIN, ni garantizan completamente ACID atomicidad, consistencia, aislamiento y durabilidad, y habitualmente escalan bien horizontalmente.Los sistemas No. SQL se denominan a veces no slo SQL para subrayar el hecho de que tambin pueden soportar lenguajes de consulta de tipo SQL.Por lo general, los investigadores acadmicos se refieren a este tipo de bases de datos como almacenamiento estructurado, trmino que abarca tambin las bases de datos relacionales clsicas.A menudo, las bases de datos No.SQL se clasifican segn su forma de almacenar los datos, y comprenden categoras como clave valor, las implementaciones de Big.Desventajas De Software Libre Wikipedia EspaolTable, bases de datos documentales, y bases de datos orientadas a grafos.Los sistemas de bases de datos No.NTlvUiFHeic/TJu2LRVm-pI/AAAAAAAAADM/soFdlhsMW5A/s1600/Ventajas+y+desventajas.jpg' alt='5 Desventajas De Software Libre Wikipedia Search' title='5 Desventajas De Software Libre Wikipedia Search' />SQL crecieron con las principales redes sociales, como Google, Amazon, Twitter y Facebook.Estas tenan que enfrentarse a desafos con el tratamiento de datos que las tradicionales SGBDR no solucionaban cita requerida.Con el crecimiento de la web en tiempo real exista una necesidad de proporcionar informacin procesada a partir de grandes volmenes de datos que tenan unas estructuras horizontales ms o menos similares.Estas compaas se dieron cuenta de que el rendimiento y sus propiedades de tiempo real eran ms importantes que la coherencia, en la que las bases de datos relacionales tradicionales dedicaban una gran cantidad de tiempo de procesocita requerida.En ese sentido, a menudo, las bases de datos No.SQL estn altamente optimizadas para las operaciones recuperar y agregar, y normalmente no ofrecen mucho ms que la funcionalidad de almacenar los registros p.La prdida de flexibilidad en tiempo de ejecucin, comparado con los sistemas SQL clsicos, se ve compensada por ganancias significativas en escalabilidad y rendimiento cuando se trata con ciertos modelos de datos.Historia del trminoeditarCarlo Strozzi us el trmino No.SQL en 1. 99. 8 para referirse a su base de datos.Era una base de datos open source, ligera, que no ofreca un interface SQL, pero s segua el modelo relacional1 Strozzi sugiere que, ya que el actual movimiento No.SQL Se sale completamente del modelo relacional, debera, por tanto, haberse llamado No.REL, o algo as. 2Eric Evans, un empleado de Rackspace, reintrodujo el trmino No.OtroInvita el seor torvald, hace aos que ya no es ningn referente notable de software libre.Se conoce como software 1 al equipo lgico o soporte lgico de un sistema informtico, que comprende el conjunto de los componentes lgicos necesarios que hacen.SQL cuando Johan Oskarsson de Last.El nombre intentaba recoger el nmero creciente de bases de datos no relacionales y distribuidas que no garantizaban ACID, atributo clave en las SGBDR clsicas.ArquitecturaeditarTpicamente las bases de datos relacionales modernas han mostrado poca eficiencia en determinadas aplicaciones que usan los datos de forma intensiva, incluyendo el indexado de un gran nmero de documentos, la presentacin de pginas en sitios que tienen gran trfico, y en sitios de streaming audiovisual.Las implementaciones tpicas de SGBDR se han afinado o bien para una cantidad pequea pero frecuente de lecturas y escrituras o para un gran conjunto de transacciones que tiene pocos accesos de escritura.Por otro lado No.SQL puede servir gran cantidad de carga de lecturas y escrituras.Implementaciones de No.SQL usadas en el mundo real incluyen los 3.TB de los marcadores verdes de Digg indicados para sealar las historias votadas por otros en la red social aunque dur menos de 3 meses y fue abandonado los 6 TB de la base de datos del ENSEMBLE de la Comisin Europea usado en los modelos de comparacin y calidad del aire, y los 5.TB de la bsqueda de la bandeja de entrada de Facebook.Las arquitecturas No.Otros artculos que podran interesarte Fedora Conference 2014 software libre para la administracin pblica, cervezas y un paseo por Praga.SQL frecuentemente aportan escasas garantas de consistencia, tales como consistencia de eventos o transaccional restringida a tems nicos de datos.Algunos sistemas, sin embargo, aportan todas las garantas de los sistemas ACID en algunas instancias aadiendo una capa intermedia como por ejemplo, App.Scale o Cloud. 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Pueden estas bases de datos proporcionar la clase de minera de datos rigurosos que las empresas se utilizan con las SGBDRes Cuntos conocimientos de programacin se necesitan para hacer la consulta ad hoc y anlisis Las respuestas no son precisamente positivas.Las bases de datos No.SQL no tienen muchos ganchos para el uso general de herramientas de BI, mientras que la ms simple consulta ad hoc y anlisis implica conocimientos de programacin bastante buenos.Sin embargo, las soluciones estn disponibles.Quest Software, por ejemplo, ha creado Toad para bases de datos en la nube, que proporciona capacidades de consulta ad hoc para algunas bases de datos No.SQL. La falta de experiencia.La novedad de No.SQL significa que no hay una gran cantidad de desarrolladores y administradores que conocen la tecnologa lo que hace difcil a las empresas encontrar personas con los conocimientos tcnicos apropiados.Por el contrario, el mundo SGBDR tiene miles de personas muy cualificadas.Problemas de compatibilidad.A diferencia de las bases de datos relacionales, que comparten ciertos estndares, las bases de datos No.SQL tienen pocas normas en comn.Cada base de datos No.SQL tiene su propia API, las interfaces de consultas son nicas y tienen peculiaridades.Esta falta de normas significa que es imposible cambiar simplemente de un proveedor a otro, por si no quedara satisfecho con el servicio.Tabla Comparativa de SGBD No.SQLeditarBases de datos documentaleseditarBases de datos en grafoeditarBases de datos clavevaloreditarBases de datos multivaloreditarRocket D3 DBMSRocket mv.Base DBMSRocket U2 Universe.Rocket U2 Unidata.Open. QMCach Inter.Systems. Reality. 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If you access a Social Game and provide us with another persons contact information for purposes of delivering information through a Social Game, we may use this information to contact and, if necessary, remind that person that she or he has been invited to join a Social Game or received content through a Social Game. All invitees are provided with the option not to receive further invitations from Big Fish. We at Big Fish take reasonable measures to help protect the information we collect from loss, theft, misuse and unauthorized access, disclosure, alteration and destruction. SHARING INFORMATIONWe may share customer information with Big Fish Affiliates, and as described below. RIP, Microsoft Paint.MS Paint, the first app you used for editing images, will probably be killed off in future updates of Windows 1.Paint 3.D. Microsoft lists the 3.Windows 1.X marking the end of an era.The app is certainly a relic, from a time when the casual computer user couldnt crack open Photoshop or Skitch or Pixelmator or thousands of web apps.MS Paint cant save image components as layers or vectors its for making flat static images only.It doesnt smooth lines or guess at your best intentions.It does what you tell it and nothing more, faithfully representing the herky jerky motion of drawing freehand with a computer mouse.Youve got problems, Ive got advice.This advice isnt sugarcoatedin fact, its sugarfree, and may even be a little bitter.Welcome to Tough Love.Outlook 2007 HKEYCURRENTUSERSoftwarePoliciesMicrosoftOffice12.OutlookPreferences DWORD SendPersonalCategories Value Data 1 to keep categories on sent mail.Screen-shot-2014-05-12-at-9.56.3.png' alt='Microsoft Entourage Remove Duplicate Emails Free' title='Microsoft Entourage Remove Duplicate Emails Free' />Its from a time before touch, a time before trackpads.As more sophisticated options appeared, Paints janky aesthetic became a conscious choice.Paint became the metonym for that aesthetic, even if an image was actually created in another app.This update will see the death of the old email program Outlook Express, as well as the depreciation of the popular Paint application.As Microsoft told Gizmodo back.TV Tropes lists major limitations that came to define a certain look the wobbly freehand lines, awkward color handling, and inappropriate export settings that give Paint its distinctive look.In 2.Gawkers Sam Biddle noted Paints influence on conspiracy theory images, calling the form Chart Brut.In amateur detectives attempts at identifying the Boston Marathon bombers, the simplicity and jaggedness of Paint evokes the crazy wall aesthetic of red string and scribbled notes, apparently without irony.The same year, internet historian Patrick Davison explored Paints influence on the last decade of meme culture, particularly Rage Comics.The outsider art aesthetic feels appropriate to the relatable everyday content, and makes the art form unthreatening.Third Reich 4Th Edition Rules Of Engagement on this page.Of course, Paint offered a few features to smooth things out, like the circle and line tools and the fill tool, all used in the stoner comics of the early 1.Crucially, those circles still had jagged curves.The bright colors of stoner comics are flat, as MS Paint didnt support gradients without an elaborate hack.Contrast those pixellated lines with the slick, stylish face from this art tutorial This slickness is built into Paints successor, Paint 3.D. Tai Game Popcap Full Crack Software . KPI enhancements with Customer Insights July 2.Microsoft Dynamics 3.Team blog.Applies to Dynamics 3.Customer Insights July 2.Dynamics 3.Customer Insights DCI July 2.How To Update Microsoft Expression Web 4 User' title='How To Update Microsoft Expression Web 4 User' />KPIs form the core of analytics capabilities of DCI.We continue to improve the KPI engine to define various metrics, from simple to complex, to model typical KPIs needed to capture any behavioral, engagement or transactional patterns seen with customers, partners, or employees or any entity modeled in DCI.In this blog post, I will highlight some of the notable new enhancements done with the KPI engine along with some real world examples on how to define the corresponding KPIs to help you model your scenarios.KPI engine enhancements.The list below provides an overview of features added or enhanced with the July 2.Expression support in aggregate and filter conditions Aggregate and filter condition definition now supports expressions using arithmetic and logical operators.KPIs over related entity properties using graph traversal with extracts DCI underneath gets a significant update with a new graph engine.How To Update Microsoft Expression Web 4 User' title='How To Update Microsoft Expression Web 4 User' />This graph engine now enables the possibility to define KPIs over relationship graph modeled with relationships and links in DCI.Extract provides the ability to extract properties from related entities and use them in KPI calculation.For example, City property from Customer profile can be modeled with extract for use in group by dimension of the KPI to compute chat interactions related with Customer.This update will see the death of the old email program Outlook Express, as well as the depreciation of the popular Paint application.As Microsoft told Gizmodo back.This article explains how to update existing data.Microsoft Office Access 2007 provides a number of tools for updating existing records, including datasheets, forms.Extracts can be used in aggregate, filter condition, or group by.Extracts can be defined over multiple hops of the relationships graph.Extracts can be defined over multiple cardinality relationships 1 to N or M to N as well.Such extracted fields are treated as Array value type.Advanced expressions with aliases for use in aggregate, filter condition or group by Aliases allow the possibility to define expressions over direct profile or interaction properties as well as extract based properties from related entities.Aliases in addition allow set operations such as Union, Intersect or Cross.Apply if the extracted property is an Array value type.Time window support for Profile KPI with mapping to a timestamp field A timestamp field can now be used to compute profile KPIs allowing grouping of data in time windows as well for insights.For example, the number of cases resolved by resolution day can be computed using the resolution timestamp of case entity to analyze the case resolution trend.KPI over KPI calculation for advanced calculation scenarios Sum, difference or division of several KPIs can be defined with expressions using KPI over KPIs.String and Date functions for use in alias expressions to transform data Simple transformations functions such as existence of a sub string or diff between two timestamps or daymonthyear type transformations can be used in expressions to build powerful KPIs.Text analytics function for sentiment extraction Sentiment function to compute the score for text properties in the range of 1 to 1.Amar Ujala Hindi News Paper Bareilly Editions .Session support for KPI calculations Users often engage with businesses in a series of interactions for a specific purpose such as buying a product or logging a support case.Often the interactions are grouped logically into a customer session and KPIs needs to be computed over the session to understand customer behavior.For example the average duration of a session, the average number of pages clicked in a session, the average number of support agents involved in a session, the average number of chat messages exchanged in a session, etc.A new session function is provided to group a sequence of interactions based on a timestamp into a session and then use session specific analytic functions to compute metrics such as session duration, first response time, or length of session.KPI examples.Its best to understand the power of the KPI engine with some real world examples to highlight the value of the new features.At Microsoft our mission and values are to help people and businesses throughout the world realize their full potential.The following examples will demonstrate setup of some typical KPIs used in sales, service, or marketing scenarios to get insights about customer behavior.Customer Engagement Score This KPI computes an engagement score for contacts and accounts based on the time decay of the various engagement activities done with the contacts of an account.A contact connects with the company doing various engagement activities such as Phone Call, Email, Chat, or Web visit.The more they engage with the company, the higher the strength of the relationship.The engagement activities are typically valued based on the recency of the activity.In this example, activity contribution to the score decays linearly from 1 to 0 over a period of 9.Each activity in turn weights differently based on activity type on a scale of 1 1.Web visit is worth 2 points.Email is worth 3 points.Chat is worth 5 points.Phone call is worth 8 points.Appointment is worth 1.Each Activity is related to Primary Contact which is related to Account per the following relationship diagram Lets go through the steps to model the various KPIs to compute the contact and account engagement score.This KPI is defined for Activity interaction entity grouped by contact.Id and account.Id to provide the ability to rollup engagement score to account or contact level per the following KPI Definition.Basic information.Name Activity.Engagement.Score.Source Interaction.Type Activity.Calculation Window Lifetime.Extracts.Name Account.Ids.Account traversal Activity to Activity.Primary.ContactContact Entity Name Contact.Property Account.Id.Aliases. 1. Days.Since.Activity Date.Diffday, Activity.Timestamp, Date.Time.Utc. Now2. Decay.Factor 9.Days.Since. Activity9.Appointment.Activity.Points Activity Appointment Phone.Activity.Points Activity Phone Chat.Activity.Points Activity Chat Email.Activity.Points Activity Email Web.Activity.Points Activity Web Account.Id Cross.ApplyAccount.Ids.Account. IdAggregate Function.Function SUMExpression Decay.Factor Appointment.Activity.Points Phone.Activity.Points Chat.Activity.Points Email.Activity.Points Web.Activity.PointsFilter Conditions.Days.Since. Activity lt 9.Group By.Contact.Id, Account. Adobe Photoshop Elements 10 Serial Cracks . Id. KPI definition JSON.Aliases.Alias. Name Days.Since.Activity. Expression Date.Diffday, Activity.Timestamp, Date.Time.Utc. Now. Alias.Name Decay.Factor.Expression 9.Days.Since. Activity9.Alias.Name Appointment.Activity.Points.Expression Activity Appointment Alias.Name Phone.Activity.Points. Expression Activity Phone Alias.Name Chat.Activity.Points. Expression Activity Chat Alias.Name Email.Activity.Points. Expression Activity Email Alias.Name Web.Activity.Points. Expression Activity Web Alias.Name Account.Id.Expression Cross.ApplyAccount.Ids.Account. Id. Calculation.Window Lifetime.Entity.Type Interaction.Entity.Type. Name Contact.Expression Decay.FactorAppointment.Activity.PointsPhone.Activity.PointsChat.Activity.PointsEmail.Activity.PointsEmail.Activity.Points.Extracts. Extract.Name Account.Ids.Expression TRAVERSEActivity.Primary.Contact.TRAVERSEContact.Account.SELECTAccount.Id.Filter Days. Since.Activity lt 9.Function Sum.Group.By Account.Id,Contact.Id,First response time of chat session This KPI computes the average time taken to provide the first response to a chat session in minutes in a typical customer support scenario.Imagine customers are engaging in chat sessions.You want to determine the average first response time that happens in a day by support center for a specific support category.You do this to plan for support resources and compare performance of support centers.Sessionization is a very powerful concept and it applies to any sequence of interaction that happen in time ordered fashion to capture an engagement session such as a chat session, web session or IVR session.Lets assume the customer is collecting Chat interactions to capture the chat sessions and property Chat.Session.Id is used to reflect chat messages exchanged in a single session.Lets go through the steps to define the KPI.This KPI is defined for Chat interaction entity grouped by Support.Center. |
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