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• Why wont my if statement work, in my stored procedure

  - by MyHeadHurts

  Alright so i am not even sure if this is possible I have a q_00 and q_01 and q_02 which are all in my stored procedure. then on the bottom i have 3 select statements that select a certain catagory for example Sales,Net Sales and INS sales What i want to be able to do is if the user types exec (name of my sp) (sales) (and a year which is the @yearparameter) it will run the sales select statement If they type Exec (name of my SP) netsales (@Yeartoget) it will show the net sales is this possible or do i need multiple stored procedures ALTER PROCEDURE [dbo].[casof] @YearToGet int, @mode VARCHAR(20) as ; with q_00 as ( select DIVISION , SDESCR , DYYYY , sum(APRICE) as asofSales , sum(PARTY) as asofPAX , sum(NetAmount) as asofNetSales , sum(InsAmount) as asofInsSales , sum(CancelRevenue) as asofCXSales , sum(OtherAmount) as asofOtherSales , sum(CXVALUE) as asofCXValue from dbo.B101BookingsDetails where Booked <= CONVERT(int,DateAdd(year, @YearToGet - Year(getdate()), DateAdd(day, DateDiff(day, 1, getdate()), 0))) and DYYYY = @YearToGet group by DIVISION, SDESCR, DYYYY ), q_01 as ( select DIVISION , SDESCR , DYYYY , sum(APRICE) as YESales , sum(PARTY) as YEPAX , sum(NetAmount) as YENetSales , sum(InsAmount) as YEInsSales , sum(CancelRevenue) as YECXSales , sum(OtherAmount) as YEOtherSales , sum(CXVALUE) as YECXValue from dbo.B101BookingsDetails where DYYYY=@YearToGet group by DIVISION, SDESCR, DYYYY ), q_02 as ( select DIVISION , SDESCR , DYYYY , sum(APRICE) as CurrentSales , sum(PARTY) as CurrentPAX , sum(NetAmount) as CurrentNetSales , sum(InsAmount) as CurrentInsSales , sum(CancelRevenue) as CurrentCXSales , sum(OtherAmount) as CurrentOtherSales , sum(CXVALUE) as CurrentCXValue from dbo.B101BookingsDetails where Booked <= CONVERT(int,DateAdd(year, (year( getdate() )) - Year(getdate()), DateAdd(day, DateDiff(day, 1, getdate()), 0))) and DYYYY = (year( getdate() )) group by DIVISION, SDESCR, DYYYY ) IF @mode = 'sales' select a.DIVISION , a.SDESCR , a.DYYYY , asofSales , asofPAX , YESales , YEPAX , CurrentSales , CurrentPAX , asofsales/ ISNULL(NULLIF(yesales,0),1) as percentsales , asofpax/yepax as percentpax ,currentsales/ISNULL(NULLIF((asofsales/ISNULL(NULLIF(yesales,0),1)),0),1) as projectedsales ,currentpax/ISNULL(NULLIF((asofpax/ISNULL(NULLIF(yepax,0),1)),0),1) as projectedpax from q_00 as a join q_01 as b on (b.DIVISION = a.DIVISION and b.SDESCR = a.SDESCR and b.DYYYY = a.DYYYY) join q_02 as c on (b.DIVISION = c.DIVISION and b.SDESCR = c.SDESCR) order by a.DIVISION, a.SDESCR, a.DYYYY ; else if @mode= 'netsales' select a.DIVISION , a.SDESCR , a.DYYYY , asofPAX , asofNetSales , YEPAX , YENetSales , CurrentPAX , CurrentNetSales , asofnetsales/ ISNULL(NULLIF(yenetsales,0),1) as percentnetsales , asofpax/yepax as percentpax ,currentnetsales/ISNULL(NULLIF((asofnetsales/ISNULL(NULLIF(yenetsales,0),1)),0),1) as projectednetsales ,currentpax/ISNULL(NULLIF((asofpax/ISNULL(NULLIF(yepax,0),1)),0),1) as projectedpax from q_00 as a join q_01 as b on (b.DIVISION = a.DIVISION and b.SDESCR = a.SDESCR and b.DYYYY = a.DYYYY) join q_02 as c on (b.DIVISION = c.DIVISION and b.SDESCR = c.SDESCR) order by a.DIVISION, a.SDESCR, a.DYYYY ; ELSE IF @mode = 'inssales' select a.DIVISION , a.SDESCR , a.DYYYY , asofPAX , asofInsSales , YEPAX , YEInsSales , CurrentPAX , CurrentInsSales , asofinssales/ ISNULL(NULLIF(yeinssales,0),1) as percentsales , asofpax/yepax as percentpax ,currentinssales/ISNULL(NULLIF((asofinssales/ISNULL(NULLIF(yeinssales,0),1)),0),1) as projectedinssales from q_00 as a join q_01 as b on (b.DIVISION = a.DIVISION and b.SDESCR = a.SDESCR and b.DYYYY = a.DYYYY) join q_02 as c on (b.DIVISION = c.DIVISION and b.SDESCR = c.SDESCR) order by a.DIVISION, a.SDESCR, a.DYYYY ;

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• When is a SQL function not a function?

  - by Rob Farley

  Should SQL Server even have functions? (Oh yeah – this is a T-SQL Tuesday post, hosted this month by Brad Schulz) Functions serve an important part of programming, in almost any language. A function is a piece of code that is designed to return something, as opposed to a piece of code which isn’t designed to return anything (which is known as a procedure). SQL Server is no different. You can call stored procedures, even from within other stored procedures, and you can call functions and use these in other queries. Stored procedures might query something, and therefore ‘return data’, but a function in SQL is considered to have the type of the thing returned, and can be used accordingly in queries. Consider the internal GETDATE() function. SELECT GETDATE(), SomeDatetimeColumn FROM dbo.SomeTable; There’s no logical difference between the field that is being returned by the function and the field that’s being returned by the table column. Both are the datetime field – if you didn’t have inside knowledge, you wouldn’t necessarily be able to tell which was which. And so as developers, we find ourselves wanting to create functions that return all kinds of things – functions which look up values based on codes, functions which do string manipulation, and so on. But it’s rubbish. Ok, it’s not all rubbish, but it mostly is. And this isn’t even considering the SARGability impact. It’s far more significant than that. (When I say the SARGability aspect, I mean “because you’re unlikely to have an index on the result of some function that’s applied to a column, so try to invert the function and query the column in an unchanged manner”) I’m going to consider the three main types of user-defined functions in SQL Server: Scalar Inline Table-Valued Multi-statement Table-Valued I could also look at user-defined CLR functions, including aggregate functions, but not today. I figure that most people don’t tend to get around to doing CLR functions, and I’m going to focus on the T-SQL-based user-defined functions. Most people split these types of function up into two types. So do I. Except that most people pick them based on ‘scalar or table-valued’. I’d rather go with ‘inline or not’. If it’s not inline, it’s rubbish. It really is. Let’s start by considering the two kinds of table-valued function, and compare them. These functions are going to return the sales for a particular salesperson in a particular year, from the AdventureWorks database. CREATE FUNCTION dbo.FetchSales_inline(@salespersonid int, @orderyear int) RETURNS TABLE AS  RETURN (     SELECT e.LoginID as EmployeeLogin, o.OrderDate, o.SalesOrderID     FROM Sales.SalesOrderHeader AS o     LEFT JOIN HumanResources.Employee AS e     ON e.EmployeeID = o.SalesPersonID     WHERE o.SalesPersonID = @salespersonid     AND o.OrderDate >= DATEADD(year,@orderyear-2000,'20000101')     AND o.OrderDate < DATEADD(year,@orderyear-2000+1,'20000101') ) ; GO CREATE FUNCTION dbo.FetchSales_multi(@salespersonid int, @orderyear int) RETURNS @results TABLE (     EmployeeLogin nvarchar(512),     OrderDate datetime,     SalesOrderID int     ) AS BEGIN     INSERT @results (EmployeeLogin, OrderDate, SalesOrderID)     SELECT e.LoginID, o.OrderDate, o.SalesOrderID     FROM Sales.SalesOrderHeader AS o     LEFT JOIN HumanResources.Employee AS e     ON e.EmployeeID = o.SalesPersonID     WHERE o.SalesPersonID = @salespersonid     AND o.OrderDate >= DATEADD(year,@orderyear-2000,'20000101')     AND o.OrderDate < DATEADD(year,@orderyear-2000+1,'20000101')     ;     RETURN END ; GO You’ll notice that I’m being nice and responsible with the use of the DATEADD function, so that I have SARGability on the OrderDate filter. Regular readers will be hoping I’ll show what’s going on in the execution plans here. Here I’ve run two SELECT * queries with the “Show Actual Execution Plan” option turned on. Notice that the ‘Query cost’ of the multi-statement version is just 2% of the ‘Batch cost’. But also notice there’s trickery going on. And it’s nothing to do with that extra index that I have on the OrderDate column. Trickery. Look at it – clearly, the first plan is showing us what’s going on inside the function, but the second one isn’t. The second one is blindly running the function, and then scanning the results. There’s a Sequence operator which is calling the TVF operator, and then calling a Table Scan to get the results of that function for the SELECT operator. But surely it still has to do all the work that the first one is doing... To see what’s actually going on, let’s look at the Estimated plan. Now, we see the same plans (almost) that we saw in the Actuals, but we have an extra one – the one that was used for the TVF. Here’s where we see the inner workings of it. You’ll probably recognise the right-hand side of the TVF’s plan as looking very similar to the first plan – but it’s now being called by a stack of other operators, including an INSERT statement to be able to populate the table variable that the multi-statement TVF requires. And the cost of the TVF is 57% of the batch! But it gets worse. Let’s consider what happens if we don’t need all the columns. We’ll leave out the EmployeeLogin column. Here, we see that the inline function call has been simplified down. It doesn’t need the Employee table. The join is redundant and has been eliminated from the plan, making it even cheaper. But the multi-statement plan runs the whole thing as before, only removing the extra column when the Table Scan is performed. A multi-statement function is a lot more powerful than an inline one. An inline function can only be the result of a single sub-query. It’s essentially the same as a parameterised view, because views demonstrate this same behaviour of extracting the definition of the view and using it in the outer query. A multi-statement function is clearly more powerful because it can contain far more complex logic. But a multi-statement function isn’t really a function at all. It’s a stored procedure. It’s wrapped up like a function, but behaves like a stored procedure. It would be completely unreasonable to expect that a stored procedure could be simplified down to recognise that not all the columns might be needed, but yet this is part of the pain associated with this procedural function situation. The biggest clue that a multi-statement function is more like a stored procedure than a function is the “BEGIN” and “END” statements that surround the code. If you try to create a multi-statement function without these statements, you’ll get an error – they are very much required. When I used to present on this kind of thing, I even used to call it “The Dangers of BEGIN and END”, and yes, I’ve written about this type of thing before in a similarly-named post over at my old blog. Now how about scalar functions... Suppose we wanted a scalar function to return the count of these. CREATE FUNCTION dbo.FetchSales_scalar(@salespersonid int, @orderyear int) RETURNS int AS BEGIN     RETURN (         SELECT COUNT(*)         FROM Sales.SalesOrderHeader AS o         LEFT JOIN HumanResources.Employee AS e         ON e.EmployeeID = o.SalesPersonID         WHERE o.SalesPersonID = @salespersonid         AND o.OrderDate >= DATEADD(year,@orderyear-2000,'20000101')         AND o.OrderDate < DATEADD(year,@orderyear-2000+1,'20000101')     ); END ; GO Notice the evil words? They’re required. Try to remove them, you just get an error. That’s right – any scalar function is procedural, despite the fact that you wrap up a sub-query inside that RETURN statement. It’s as ugly as anything. Hopefully this will change in future versions. Let’s have a look at how this is reflected in an execution plan. Here’s a query, its Actual plan, and its Estimated plan: SELECT e.LoginID, y.year, dbo.FetchSales_scalar(p.SalesPersonID, y.year) AS NumSales FROM (VALUES (2001),(2002),(2003),(2004)) AS y (year) CROSS JOIN Sales.SalesPerson AS p LEFT JOIN HumanResources.Employee AS e ON e.EmployeeID = p.SalesPersonID; We see here that the cost of the scalar function is about twice that of the outer query. Nicely, the query optimizer has worked out that it doesn’t need the Employee table, but that’s a bit of a red herring here. There’s actually something way more significant going on. If I look at the properties of that UDF operator, it tells me that the Estimated Subtree Cost is 0.337999. If I just run the query SELECT dbo.FetchSales_scalar(281,2003); we see that the UDF cost is still unchanged. You see, this 0.0337999 is the cost of running the scalar function ONCE. But when we ran that query with the CROSS JOIN in it, we returned quite a few rows. 68 in fact. Could’ve been a lot more, if we’d had more salespeople or more years. And so we come to the biggest problem. This procedure (I don’t want to call it a function) is getting called 68 times – each one between twice as expensive as the outer query. And because it’s calling it in a separate context, there is even more overhead that I haven’t considered here. The cheek of it, to say that the Compute Scalar operator here costs 0%! I know a number of IT projects that could’ve used that kind of costing method, but that’s another story that I’m not going to go into here. Let’s look at a better way. Suppose our scalar function had been implemented as an inline one. Then it could have been expanded out like a sub-query. It could’ve run something like this: SELECT e.LoginID, y.year, (SELECT COUNT(*)     FROM Sales.SalesOrderHeader AS o     LEFT JOIN HumanResources.Employee AS e     ON e.EmployeeID = o.SalesPersonID     WHERE o.SalesPersonID = p.SalesPersonID     AND o.OrderDate >= DATEADD(year,y.year-2000,'20000101')     AND o.OrderDate < DATEADD(year,y.year-2000+1,'20000101')     ) AS NumSales FROM (VALUES (2001),(2002),(2003),(2004)) AS y (year) CROSS JOIN Sales.SalesPerson AS p LEFT JOIN HumanResources.Employee AS e ON e.EmployeeID = p.SalesPersonID; Don’t worry too much about the Scan of the SalesOrderHeader underneath a Nested Loop. If you remember from plenty of other posts on the matter, execution plans don’t push the data through. That Scan only runs once. The Index Spool sucks the data out of it and populates a structure that is used to feed the Stream Aggregate. The Index Spool operator gets called 68 times, but the Scan only once (the Number of Executions property demonstrates this). Here, the Query Optimizer has a full picture of what’s being asked, and can make the appropriate decision about how it accesses the data. It can simplify it down properly. To get this kind of behaviour from a function, we need it to be inline. But without inline scalar functions, we need to make our function be table-valued. Luckily, that’s ok. CREATE FUNCTION dbo.FetchSales_inline2(@salespersonid int, @orderyear int) RETURNS table AS RETURN (SELECT COUNT(*) as NumSales     FROM Sales.SalesOrderHeader AS o     LEFT JOIN HumanResources.Employee AS e     ON e.EmployeeID = o.SalesPersonID     WHERE o.SalesPersonID = @salespersonid     AND o.OrderDate >= DATEADD(year,@orderyear-2000,'20000101')     AND o.OrderDate < DATEADD(year,@orderyear-2000+1,'20000101') ); GO But we can’t use this as a scalar. Instead, we need to use it with the APPLY operator. SELECT e.LoginID, y.year, n.NumSales FROM (VALUES (2001),(2002),(2003),(2004)) AS y (year) CROSS JOIN Sales.SalesPerson AS p LEFT JOIN HumanResources.Employee AS e ON e.EmployeeID = p.SalesPersonID OUTER APPLY dbo.FetchSales_inline2(p.SalesPersonID, y.year) AS n; And now, we get the plan that we want for this query. All we’ve done is tell the function that it’s returning a table instead of a single value, and removed the BEGIN and END statements. We’ve had to name the column being returned, but what we’ve gained is an actual inline simplifiable function. And if we wanted it to return multiple columns, it could do that too. I really consider this function to be superior to the scalar function in every way. It does need to be handled differently in the outer query, but in many ways it’s a more elegant method there too. The function calls can be put amongst the FROM clause, where they can then be used in the WHERE or GROUP BY clauses without fear of calling the function multiple times (another horrible side effect of functions). So please. If you see BEGIN and END in a function, remember it’s not really a function, it’s a procedure. And then fix it. @rob_farley

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• Is there a rapid way to switch iChat screen sharing between users?

  - by craibuc

  John is sharing his screen with Jane. If Jane wants to share her screen with John, she must terminate this session, then choose 'Share My Screen with John', then John must accept request. Is there a more rapid way to do this?

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• Address book software that knows people share addresses

  - by Benjol

  I'm a bit frustrated with Outlook and Google contacts, as neither understand that people share addresses, or that one address can represent several people. So you either have crappy custom fields like "Bill's mobile", "Jane's mobile", or you have a Bill and a Jane contact, and you have to keep the address updated between the two. Are the any decent, and simple, address book applications out there which have this kind of intelligence? Note: this is for home use, I don't need to do professional 'contact management'.

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• Excel or OpenOffice Table Summary: how to reconstruct a table from another, with "missing" values

  - by Gilberto

  I have a table of values (partial) with 3 columns: month (from 1 to 12), code and value. E.g., MONTH | CODE | VALUE 1 | aaa | 111 1 | bbb | 222 1 | ccc | 333 2 | aaa | 1111 2 | ccc | 2222 The codes are clients and the values are sales volumes. Each row represents the sales for one month for one client. So I have three clients, namely aaa, bbb, and ccc. For month=1 their sales volumes are: aaa-111, bbb-222, and ccc-333. A client may or may not have sales for every month; for example, for the month 2, the client bbb has no sales. I have to construct a completed summary table for all the MONTH / CODE pairs with their corresponding VALUE (using the value from the "partial" table, if present, otherwise print a string "missing"). MONTH | CODE | VALUE 1 | aaa | 111 1 | bbb | 222 1 | ccc | 333 2 | aaa | 1111 2 | bbb | missing 2 | ccc | 2222 Or, to put it another way, the table is a linear representation of a matrix:                                 and I want to identify the cells for which no value was provided. How can I do that?

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• What Gets Measured Gets Managed

  - by steve.diamond

  OK, so if I were to claim credit for inventing that expression, I guess I could share the mantle with Al Gore, creator of the Internet. But here's the point: How many of us acquire CRM systems without specifically benchmarking several key performance indicators across sales, marketing and service BEFORE and AFTER deployment of said system? Yes, this may sound obvious and it might provoke the, "Well of course, Diamond!" response, but is YOUR company doing this? Can you define in quantitative terms the delta across multiple parameters? I just trolled the Web site of one of my favorite sales consultancy firms, The Alexander Group. Right on their home page is a brief appeal citing the importance of benchmarking. The corresponding landing page states, "The fact that hundreds of sales executives now track how their sales forces spend time means they attach great value to understanding how much time sellers actually devote to selling." The opportunity is to extend this conversation to benchmarking the success that companies derive from the investment they make in CRM systems, i.e., to the automation side of the equation. To a certain extent, the 'game' is analogous to achieving optimal physical fitness. One may never quite get there, but beyond the 95% threshold of "excellence," she/he may be entering the realm of splitting infinitives. But at the very start, and to quote verbiage from the aforementioned Alexander Group Web page, what gets measured gets managed. And getting to that 95% level along several key indicators would be a high quality problem indeed, don't you think? Yes, this could be a "That's so 90's" conversation, but is it really?

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• UK Partner Briefing – Business Analytics - 24 Sept 2012

  - by Mike.Hallett(at)Oracle-BI&EPM

  Monday 24th September 2012 - Oracle City Office, London Register Here for this important, free briefing Oracle Partners are invited to attend this Business Analytics Partner Briefing on 24th September 2012 in Oracle’s London Moorgate Offices with Particular focus on Exalytics, Endeca and, BI Mobile. Who should attend? Oracle Business Analytics is one of our fastest growing product lines, hence this briefing will be of value to any executives looking for new business opportunities or extending their existing Analytics line of business Background This half day event will inform you of Oracle's Business Analytics strategy, how your organisation can gain commercial advantage from reselling and deploying Oracle's BI portfolio, and the tools and resources to support your sales engagements. Agenda 13:45 – Registration, Coffee, and iPad set up 14:30 – Briefing Commences: Welcome & Introduction to the Business Analytics FY13 Strategy from Mike Pell, VP UK Business Analytics Sales 15:15 – Exalytics: Speed of Thought Analytics 16:00 – Mobile BI & Endeca 16:45 – Event Wrap-up and Q&A 17:00 – Meet the UK BI Sales Team: Networking Please note – If you have an iPad please bring it with you to the session, as we will be helping to set these up with BI Mobile from 13:45 onwards. Click here to register now for this briefing for Oracle Partners. Best regards, Mike Pell                                  Duncan Fitter                           Mike Thompson VP UK Analytics Sales             BA Business Development       Alliances & Channels

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• "Has Oracle written the script for CRM success?" - Anthony Lye on Customer Experience at BAFTA

  - by Richard Lefebvre

  Anthony Lye showcased Oracle Fusion CRM at a BAFTA gathering, and MyCustomer.com covered the story under the title of "Has Oracle written the script for CRM success?' According to MyCustomer.com, "Oracle's SVP of CRM Anthony Lye set the scene for the event, suggesting products are becoming commoditized, so that the only way to differentiate is through the relationship with the customer. But he warned that "customers are more and more in control of that relationship, so you have to provide great experiences for them." "The quickest win within your organization to create a single view is to connect your marketing organization with your selling organization, align goals, processes, people and technology," Anthony explained.   "And this is a transition that is already happening - "VPs of marketing have started turning up in the same meetings as VPs of sales, we have started to see that they want to work together" - but this convergence needs nurturing." "In Fusion there are capabilities to align the organisation - we enable marketing on the same platform to build campaigns connected to sales stages. It can affect leads and opportunities at the top end of the funnel. And the selling organisation can take advantage of marketing content - the materials that are exclusively within marketing can now be used by sales. Your sales teams have been campaigning forever, but it's usually by email, it isn't aligned with the corporate message and it's being sent to people it shouldn't. By aligning them we can increase output and the quality of that output." Anthony concluded: "Operating in a disconnected fashion having two distinct systems will cost you time and money. So we feel there's a material advantage in a solution like this." Enjoy the full story at http://www.mycustomer.com/topic/marketing/has-oracle-written-script-crm-success/139958

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• Partner Infoline & Service Portal

  - by uwes

  As an EMEA-wide team we're supporting the daily work of our partners. Our team consists of 24 sales consultants, one third is specialized on the Partner Infoline. Partner Infoline's main focus is to deliver actively and reactively technical pre sales knowledge about the Oracle hardware portfolio to our partners.With infoline we assist our partners in their daily work, furthermore we help to educate our partners to be self sufficient in all aspects and questions about hardware configurations and hardware quotes. For our Infoline Service we use a ticketing system called Service Portal which is widely used within Oracle and delivers a good and stable functionality and availability. Our Infoline-Service provides answers to questions concerning technical pre-sales matters that are related to hardware and the corresponding hardware related software.* You can address these types of questions by sending them to our mailing list: [email protected] The serviceportal will send you an auto-reply including a unique reference number, which will be the identification for your request until it is closed. Depending on the complexity of the request, it might be necessary to forward it to our specialists (servers, storage, tape, Solaris etc.) located whole over Europe. In order to make the whole process smooth here are some recommendations: write your request in English; saves translation-time, when it has to be forwarded to the specialists stating clearly in the title your interest area, like for example "memory in M4000 server". one request/one subject; makes it easier to maintain and keep the correspondence clear and simple. The rule of the service is to provide an answer quick, which means the vast majority of the requests are answered within a couple of hours. However please keep in mind that some requests may need extra work by involving the appropriate person within Europe or even in US. Therefore there is no official SLA for this service. * This excludes Oracle "classic" products and post-sales support. The latter should still be addressed through MOS (http://support.oracle.com)

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• Partner Webcast – Oracle CRM: The Age of the Customer - 18 July 2013

  - by Thanos

  High-touch solutions for the complete customer experience How does Customer Relationship Management change in "the age of the customer", or does it at all? Customer relationship management has changed over the past years from a pure "inside out" point of view, where the customer is the center of attention to an "outside in" discipline where the customer has become the driving force. Away from the 360° view, through data to a holistic view of the customer’s journey and experience, through behavioral analysis and interaction across all touch points along a lifecycle of a customer relationship. Learn how this approach, integrating sales, service and marketing channels into one cohesive customer experience can drive customer experience and support acquisition, retention and efficiency in your customer relationship. With Oracle's Sales, Service and Marketing cloud offerings, you can be ahead of the game and provide a consistent and personalized voice to your customers, regardless of which channels you favor and your customers prefer. Integrated, cross-channel campaign automation and service delivery, as well as feedback-loops to sales automation, will provide you with tools to achieve top-of-the-line customer experience. Agenda · Oracle Customer Experience - Introduction into a new take on CRM · Oracle Sales Cloud - Integrated Salesforce Automation · Oracle Marketing Cloud - Cross-Channel Campaign Management · Oracle Service Cloud - Channel-blending in service delivery Delivery Format This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24 hours prior to start time may not receive confirmation to attend. Duration: 1 hour REGISTER NOW For any questions please contact us at partner.imc-AT-beehiveonline.oracle-DOT-com.

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• Key announcements from Oracle Openworld - Video series

  - by Javier Puerta

  If you missed Oracle Openworld now you have the opportunity to watch a series of four 15-min webcasts with the key announcements, explained by EMEA key executives. Oracle OpenWorld I, OMN - Part 1 OPENWORLD I: Oracle's Cloud. interview with Alan HartwellGaye Hudson and Steve Walker, EMEA Corporate Communications take a look at Oracle's announcements leading up to Oracle Open World and talk to Alan Hartwell, VP Sales, Engineered Solutions, Exadata, Exalogic about Oracle's cloud offering. Oracle Open World II , OMN Part 2 OPENWORLD II: Engineered Systems with Alan HartwellGaye Hudson, VP Corporate Communications, EMEA talks to Alan Hartwell, VP Sales, Engineered Solutions, Exadata, Exalogic about Oracle's Engineered Systems, parallel hardware and software; Exalytics, Big Data Appliance & Enterprise Manager. Oracle OpenWorld III, OMN Part 3 OPENWORLD III: HW with John Abel, Storage with Luc Gheysens Gaye Hudson and Steve Walker talk to John Abel, Chief Technology Architect, Oracle Server and Storage, EMEA about SPARC SuperCluster and T4; and to Luc Gheysens, Senior Director, Storage Sales Specialist, EMEA about ZFS Storage and Pillar Axiom 600. Oracle OpenWorld IV, OMN Part 4 OPENWORLD IV: Oracle Fusion Applications with Noel ColoeGaye Hudson, VP Corporate Communications, EMEA talks to Noel Coloe, Head of Western Europe Applications Sales Development about Oracle Fusion Applications, a new paradigm in Enterprise applications.

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• Basket Analysis with #dax in #powerpivot and #ssas #tabular

  - by Marco Russo (SQLBI)

  A few days ago I published a new article on DAX Patterns web site describing how to implement Basket Analysis in DAX. This topic is a very classical one and is also covered in the many-to-many revolution white paper. It has been also discussed in several blog posts, listed here in historical order: Simple Basket Analysis in DAX by Chris Webb PowerPivot, basket analysis and the hidden many to many by Alberto Ferrari Applied Basket Analysis in Power Pivot using DAX by Gerhard Brueckl As usual, in DAX Patterns we try to present the required DAX formulas in a way that is easy to adapt to specific models. We also try to show a good implementation from a performance point of view. Further optimizations are always possible in DAX. However, in order to keep the model simple to adapt in different scenarios, we avoid presenting optimizations that would require particular assumptions or restrictions on the data model. I hope you will find the Basket Analysis pattern useful. Even if you do not need it today, reading the DAX formula is a good exercise to check your knowledge of evaluation contexts in DAX. For example, describing how does it work the following expression is not a trivial task! [Orders with Both Products] := CALCULATE (     DISTINCTCOUNT ( Sales[SalesOrderNumber] ),     CALCULATETABLE (         SUMMARIZE ( Sales, Sales[SalesOrderNumber] ),         ALL ( Product ),         USERELATIONSHIP ( Sales[ProductCode], 'Filter Product'[Filter ProductCode] )     ) ) The good news is that you can use the patterns even if you do not really understand all the details of the DAX formulas you are using! Any feedback on this new pattern is very welcome.

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• Customer Concepts TV

  - by Richard Lefebvre

  Eliminate the Guesswork in Your Customer's Sales Organization Selling is the lifeblood of every business. In the past, companies would increase headcount to boost sales. In today’s business environment, companies need to re-evaluate the way in which they sell. Sales and marketing organisations must optimise performance, increase team productivity and focus on the best opportunities. Oracle Fusion CRM has been specifically designed with tools to help sales and marketing teams improve efficiency and drive revenue. Territory modeling and management, quota and commission management, collaborative features, real-time customer information and mobile device integration are just some features incorporated. Join us on Customer Concepts TV as we aim to help you find the right strategy for your prospect and customers. Whether they already have a CRM solution in place or are looking for the next level of CRM implementation, this online TV show will give you very practical advice that can help you to make the most out of your CRM implementation.Register now to reserve your spot for this exclusive, live-stream event. Customer Concepts TV comes to you on April 24. Watch the Customer Concepts TV trailer here

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• SOA &amp; Application Grid Specialization&ndash; Education Implementation Assessment - Step 4 of 6

  - by Jürgen Kress

    In our first step to become SOA Specialized & Application Grid Specialized we highlighted the OMM system to register your opportunities. In our second step we featured marketing activities to create your reference cases and run joint marketing campaigns. In the third step we focused on the competence center assessments SOA Sales assessment & SOA Pre-Sales assessment & Support assessment / Application Grid Sales assessment & Application Grid Pre-Sales assessment & Support assessment In the forth step we will focus on the education implementation assessment criteria: · Oracle Application Grid Certified Implementation Specialist · Oracle Service-Oriented Architecture Certified Implementation Specialist Bootcamp training steps (optional): Login to Oracle Partner Network (support for login contact Partner Business Centers) Attend a SOA or Application Grid bootcamp to learn the product hands-on Find a training close to your location in the local training calendar Pearsonvue Steps: Go to http://www.pearsonvue.com/Oracle/ ·Create a web account. (will take up to 24 hours) if you need your OPN Company ID (please contact Partner Business Centers) ·Register and attend the Oracle Service-Oriented Architecture Certified Implementation Specialist (1Z1-451) or Oracle Application Grid Certified Implementation Specialist  (1Z1-523) at a training center close to you. The Application Grid Specialized is in beta phase, therefore we give away free vouchers; please contact Jürgen Kress if you like to get one. ·Submit your successful exam If you need to get an Oracle Partner Network Account please contact our Partner Business Centers. For more information on Specialization please visit our OPN Specialized Webcast Series and become a member in our SOA Partner Community for registration please visit www.oracle.com/goto/ema/soa Jürgen Kress, SOA Partner Adoption EMEA Thanks for your efforts to become Specialized! Technorati Tags: soa specialization

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• How Do Top Performing High Tech Companies Measure Online Marketing Success?

  - by Charles Knapp

  You might expect a focus on Net Promoter scores, open rates, and click metrics. The real answers from top performers may surprise you. I've been working for a few months with Aberdeen Group and colleagues from IBM and Oracle to survey high technology firms worldwide on best practices in marketing and channel sales effectiveness.  Now, we will share the results of our original customer research in a new white paper and webcast. Register today to learn how leading High Tech companies are increasing their Return on Marketing Investment (ROMI) and growing channel sales revenue. Discover how top performing high tech companies manage and use customer data, measure marketing spend effectiveness, and support internal and channel sales. Learn how best in class high tech companies use enterprise data throughout their customer lifecycle -- messaging to leads, selling to prospects, and serving customers. Our speakers will be: Peter Ostrow, Research Director - Sales Effectiveness, Aberdeen Group David Lasher, Global Business Services Partner, IBM Jonathan Oomrigar, Vice President, Global High Technology Business Unit, Oracle Reserve your place now! This global webinar is on Tuesday, November 15, 10-11 am PST / 1-2 pm EST / 6-7 GMT / 7-8 CET

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• Non use of persisted data – Part deux

  - by Dave Ballantyne

  In my last blog I showed how persisted data may not be used if you have used the base data on an include on an index. That wasn't the only problem ive had that showed the same symptom.  Using the same code as before,  I was executing similar to the below : select BillToAddressID,SOD.SalesOrderDetailID,SOH.CleanedGuid from sales.salesorderheader SOH join Sales.SalesOrderDetail SOD on SOH.SalesOrderID = SOD.SalesOrderID But,  due to a distribution error in statistics i found it necessary to use a table hint.  In this case, I wanted to force a loop join select BillToAddressID,SOD.SalesOrderDetailID,SOH.CleanedGuid from sales.salesorderheader SOH inner loop join Sales.SalesOrderDetail SOD on SOH.SalesOrderID = SOD.SalesOrderID   But, being the diligent  TSQL developer that I am ,looking at the execution plan I noticed that the ‘compute scalar’ operator was again calling the function.  Again,  profiler is a more graphic way to view this…..   All very odd,  just because ive forced a join , that has NOTHING, to do with my persisted data then something is causing the data to be re-evaluated. Not sure if there is any easy fix you can do to the TSQL here, but again its a lesson learned (or rather reinforced) examine the execution plan of every query you write to ensure that it is operating as you thought it would.

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• Daten-Fluthelfer

  - by A&C Redaktion

  „Schneller entscheiden als der Wettbewerb", so heißt der neue Sales Guide zum Thema Business Intelligence für Oracle Partner. Unter diesem Motto gibt die Broschüre auf nur zwölf Seiten einen soliden Überblick, wie man die ungeheuren Datenmengen, mit denen Unternehmen tagtäglich zu kämpfen haben, effizient analysieren und nutzen kann. Alles fängt bekanntlich ganz harmlos an: Langsam und fast unbemerkt steigen die Datenmengen, bis sie plötzlich zum schier unlösbaren Problem werden - und das auf mehreren Ebenen: Die Endanwender sind unzufrieden über lange Ladeprozesse, die Datenqualität und die Abfrageperformance Die Betriebskosten steigen mit dem erhöhten Administrations- und Wartungsaufwand Die Entwicklungsproduktivität ist gering, denn der manuelle Aufwand für Datenbereinigung und -strukturierung ist hoch und die Anbindung neuer Datenquellen zunehmend kompliziert Irgendwann ist es an der Zeit für eine Gesamt-Architektur, die die Zentralisierung von BI- und Warehouse-Komponenten ermöglicht. Der Sales Guide zeigt Lösungen auf, für die sich verschiedene große Unternehmen entschieden haben, darunter ein internationaler Finanzdienstleister und eine der größten Online-Auktionsplattformen. Der Sales Guide behandelt nicht nur die Probleme rund um das Datawarehousing, sondern bietet wie immer auch eine Handreichung zur Ermittlung des Kundebedarfs und zum vertrieblichen Vorgehen. Hier geht's zum Download (nur mit OPN-Passwort): Sales Guide BI und Datawarehouse Mit dem Dauerthema Business Intelligence setzen sich auch die Oracle Solutions Partner Communities auseinander.

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• Use the Latest Guided Learning Paths for BI & EPM Partners

  - by Mike.Hallett(at)Oracle-BI&EPM

  Keep up to date with the current version Guided Learning Paths for BI Partners @ https://competencycenter.oracle.com/opncc/glp_list.cc, for Example: Normal 0 false false false EN-GB X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0cm; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi; mso-fareast-language:EN-US;} Business Intelligence Implementation Consultant Business Intelligence Applications 7.9.6 for CRM Implementation Specialist Business Intelligence Applications 7.9.6 for ERP Implementation Specialist Oracle Business Intelligence Foundation 11g Implementation Specialist Oracle Essbase 11 Implementation Specialist PreSales Consultant Business Intelligence Applications 7.9.6 PreSales Specialist Oracle Business Intelligence Foundation Suite 11g PreSales Specialist Oracle Essbase 11 PreSales Specialist Sales Person Business Intelligence Applications 7.9.6 Sales Specialist Oracle Business Intelligence Foundation Suite 11g Sales Specialist Oracle Essbase 11 Sales Specialist

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• UIImagePickerController camera preview is portrait in landscape app

  - by Jane Sales

  In my landscape-only iPhone application, I launch a UIImagePickerController to take a photo, but the live image displayed from the camera is in portrait orientation, with blank space around it. The image is rotated. Once the camera button is pressed, the preview is very messy, with most of the preview off screen, and views not correctly aligned. Apple has acknowledged that this is defect, and is working on it. My question is, does anyone have a work-around (legal or illegal) that would allow me to get this working now. I wouldn't release to the App Store with an illegal fix, but I would have a much better app for user testing - currently the camera is pretty much unusable in landscape. I will attach a simple test project and images if I can. Edit - just to clarify, the image I get is correctly landscape. I want the camera & preview UIs to look right!

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• Does the iPhone compress images saved within my app's documents directory?

  - by Jane Sales

  We are caching images downloaded from our server. We write them to our local storage like this: NSArray *paths = NSSearchPathForDirectoriesInDomains(NSCachesDirectory, NSUserDomainMask, YES); NSString *documentsDirectory = [paths objectAtIndex:0] ; NSString* folder = [[documentsDirectory stringByAppendingPathComponent:@"flook.images"] retain]; NSString* fileName = [folder stringByAppendingFormat:@"/%@", aBaseFilename]; BOOL writeSuccess = [anImageData writeToFile:fileName atomically:NO]; The downloaded images are always the expected size, around 45-85KB. Later, we read images from our cache like this: NSArray *paths = NSSearchPathForDirectoriesInDomains(NSCachesDirectory, NSUserDomainMask, YES); NSString *documentsDirectory = [paths objectAtIndex:0] ; NSString* folder = [[documentsDirectory stringByAppendingPathComponent:@"flook.images"] retain]; NSString* fileName = [folder stringByAppendingFormat:@"/%@", aBaseFilename]; image = [UIImage imageWithContentsOfFile:fileName]; Occasionally, the images returned from this cache read are much smaller because they are much more compressed - around 5-10KB. Has the OS done this to us?

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• How do i create a view that can filter unique titles from a checkbox?

  - by buws

  I'm currently creating a view in Drupal that contains a number of fields. What I want to do is to create an exposed filter that is able to filter duplicate titles. The filter would be a checkbox. This is an example of the list NAME TIME RACE DISTANCE John Doe 2.07.54 Boston Marathon 42km Jane Boss 2.15.21 Boston Marathon 42km John Doe 2.02.22 Boston Marathon 42km Jane Boss 2.15.44 Boston Marathon 42km What I want to have is an exposed filter that only shows one unique NAME and sorts it by its best time. The resulting list would look as follows: NAME TIME RACE DISTANCE Jane Boss 2.15.21 Boston Marathon 42km John Doe 2.02.22 Boston Marathon 42km Any help is appreciated!

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• How- XLST Transformation

  - by Yuan Ray

  Just wanted to ask on how to get the author names in the given xml sample below and put an attribut of eq="yes". EQ means Equal Contributors. This is the XML. <ArticleFootnote Type="Misc"> <Para>John Doe and Jane Doe are equal contributors.</Para> </ArticleFootnote> This should be the output in other form of XML. <AuthorGroups> <Authors eq="yes">John Doe</Authors> <Authors eq="yes">Jane Doe</Authors> </AuthorGroups> Assuming that JOhn Doe and Jane Doe are already defined in the list of authors but after the transformation, author tag should have the attribute eq="yes". Please help as I don't know much writing in xlst. Thanks in advance.

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• Are Chromebooks the New Netbooks, and What Does That Mean?

  - by Chris Hoffman

  Netbooks — small, cheap, slow laptops — were once very popular. They fell out of favor — people bought them because they seemed cheap and portable, but the actual experience was lackluster. Most netbooks now sit unused. Windows netbooks have vanished from stores today, but there’s a new super-cheap laptop — the Chromebook. Chromebook sales numbers are impressive, but their usage statistics tell a different story. Are Chromebooks just the new netbook? The Problem With Netbooks Netbooks seemed appealing, especially in an age before tablets and lightweight ultrabooks. You could buy a netbook for $200 or so and have a portable device that let you get on the Internet. The name “netbook” spelled that out — it was a portable device for getting on the ‘net. They weren’t really that great. The original netbook was a lightweight Asus Eee PC that ran Linux alone and had a small amount of fast flash storage. Netbooks eventually ran heavier Windows XP operating systems — Windows Vista was out, but it was just too bloated to run on netbooks. Manufacturers added slow magnetic hard drives, bloatware, and even DVD drives! They couldn’t run most Windows software very well. The build quality was poor and their keyboards were tiny and cramped. People liked the idea of a lightweight device that let them get on the Internet and loved the cheap price, but the actual experience wasn’t great. Chromebook Sales Chromebook sales numbers seem surprisingly high. NPD reported that Chromebooks were 21% of all notebooks sold in the US in 2013. If you combine laptop and tablet sales into a single statistic, Chromebooks were 9.6% of all those devices sold. That’s 2/3 as many Chromebooks sold as iPads in the US! Of Amazon’s best-selling laptop computers, two of the top three are Chromebooks. These definitely look like successful products. Unlike netbooks, Chromebooks are taking off in a big way in the education market. Many schools are buying Chromebooks for their students instead of more expensive Windows laptops. They’re easier to manage and lock down than Windows laptops, but — more importantly for cash-strapped schools — they’re very cheap. Netbooks never had this sort of momentum in schools. Chromebook Usage Statistics Here’s where the rosy picture of Chromebooks starts to become more realistic. StatCounter’s browser usage statistics show how widely used different operating systems are. For example, Windows 7 has the highest share with 35.71% of web activity in April, 2014. The chart doesn’t even show Chrome OS at all, although there is an “Other” number near the bottom. Click the Download Data link to download a CSV file and we can view more detailed information. Chrome OS only accounted for 0.38% of web usage in April, 2014. Desktop Linux, which people often shrug at, accounted for 1.52% in the same month. To its credit, Chrome OS usage has increased. Chromebooks were widely mocked back in November, 2013 when the sales numbers came out. After all, they only accounted for 0.11% of web usage globally in November, 2013! But Chrome OS numbers have been improving: Nov, 2013: 0.11% Dec, 2013: 0.22% Jan, 2014: 0.31% Feb, 2014: 0.35% Mar, 2014: 0.36% Apr, 2014: 0.38% Chrome OS is climbing, but it’s definitely still in the “Other” category. It isn’t as high as we’d expect to see it with those types of sales numbers. Chromebooks vs. Netbooks Chromebooks are more limited devices than traditional PCs. You can do quite a few things, but you have to do it all using Chrome or Chrome apps. Most people won’t be enabling developer mode and installing a Linux desktop. You don’t have access to the powerful desktop software available for Windows and even Mac OS X. On the other hand, these Chromebooks are less compromised than netbooks in many ways. They come with a lightweight operating system designed for portable, mobile devices. They don’t come packed with any bloatware, like the bloatware you’ll find on competing Windows PCs and the original netbooks. They’re cheaper because the manufacturer doesn’t have to pay for a Windows license. There’s no need for antivirus software weighing the operating system down. They’re larger than the original netbooks, with many of them being 11.6-inches instead of the original 8-inch bodies many older netbooks came with. They have larger, more comfortable keyboards and fast solid-state storage. Really, Chromebooks are what netbooks wanted to be. People didn’t buy netbooks to use typical Windows software — they just wanted a lightweight PC. Of course, for many people, the real successor to netbooks is tablets. If all you want is a portable device to throw in a bag so you can get online, maybe a tablet is better. Where Does This Leave Chromebooks? So, are Chromebooks the new netbooks? It’s a bit early to answer that question. Chromebooks are definitely not out of the competition — their sales look good and their usage share is increasing. On the other hand, Chrome OS is still pretty far behind. They’re not catching fire like tablets did. Maybe netbooks were just before their time and Chromebooks were what they were always meant to be. Just as Microsoft’s Windows XP tablets failed, Windows XP netbooks also failed. Tablets took off with a more refined operating system on better hardware years later. “Netbooks” — or Chromebooks — are now taking off with a more purpose-built operating system on better hardware, too. It’s hard to count Chromebooks out because they provide a much better experience than netbooks ever did. If you’re one of the people who wants to use old Windows desktop apps on your portable laptop, you may think netbooks were better — but most people don’t want that. But maybe people either want a full desktop PC experience or a full mobile tablet experience. Is there a place for a laptop with a keyboard that can only view websites? We’ll have to wait and see. Image Credit: Kevin Jarret on Flickr, Clive Darra on Flickr, Sean Freese on Flickr

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• BI Applications overview

  - by sv744

  Welcome to Oracle BI applications blog! This blog will talk about various features, general roadmap, description of functionality and implementation steps related to Oracle BI applications. In the first post we start with an overview of the BI apps and will delve deeper into some of the topics below in the upcoming weeks and months. If there are other topics you would like us to talk about, pl feel free to provide feedback on that. The Oracle BI applications are a set of pre-built applications that enable pervasive BI by providing role-based insight for each functional area, including sales, service, marketing, contact center, finance, supplier/supply chain, HR/workforce, and executive management. For example, Sales Analytics includes role-based applications for sales executives, sales management, as well as front-line sales reps, each of whom have different needs. The applications integrate and transform data from a range of enterprise sources—including Siebel, Oracle, PeopleSoft, SAP, and others—into actionable intelligence for each business function and user role. This blog  starts with the key benefits and characteristics of Oracle BI applications. In a series of subsequent blogs, each of these points will be explained in detail. Why BI apps? Demonstrate the value of BI to a business user, show reports / dashboards / model that can answer their business questions as part of the sales cycle. Demonstrate technical feasibility of BI project and significantly lower risk and improve success Build Vs Buy benefit Don’t have to start with a blank sheet of paper. Help consolidate disparate systems Data integration in M&A situations Insulate BI consumers from changes in the OLTP Present OLTP data and highlight issues of poor data / missing data – and improve data quality and accuracy Prebuilt Integrations BI apps support prebuilt integrations against leading ERP sources: Fusion Applications, E- Business Suite, Peoplesoft, JD Edwards, Siebel, SAP Co-developed with inputs from functional experts in BI and Applications teams. Out of the box dimensional model to source model mappings Multi source and Multi Instance support Rich Data Model    BI apps have a very rich dimensionsal data model built over 10 years that incorporates best practises from BI modeling perspective as well as reflect the source system complexities  Thanks for reading a long post, and be on the lookout for future posts.  We will look forward to your valuable feedback on these topics as well as suggestions on what other topics would you like us to cover. I Conformed dimensional model across all business subject areas allows cross functional reporting, e.g. customer / supplier 360 Over 360 fact tables across 7 product areas CRM – 145, SCM – 47, Financials – 28, Procurement – 20, HCM – 27, Projects – 18, Campus Solutions – 21, PLM - 56 Supported by 300 physical dimensions Support for extensive calendars; Gregorian, enterprise and ledger based Conformed data model and metrics for real time vs warehouse based reporting  Multi-tenant enabled Extensive BI related transformations BI apps ETL and data integration support various transformations required for dimensional models and reporting requirements. All these have been distilled into common patterns and abstracted logic which can be readily reused across different modules Slowly Changing Dimension support Hierarchy flattening support Row / Column Hybrid Hierarchy Flattening As Is vs. As Was hierarchy support Currency Conversion :-  Support for 3 corporate, CRM, ledger and transaction currencies UOM conversion Internationalization / Localization Dynamic Data translations Code standardization (Domains) Historical Snapshots Cycle and process lifecycle computations Balance Facts Equalization of GL accounting chartfields/segments Standardized values for categorizing GL accounts Reconciliation between GL and subledgers to track accounted/transferred/posted transactions to GL Materialization of data only available through costly and complex APIs e.g. Fusion Payroll, EBS / Fusion Accruals Complex event Interpretation of source data – E.g. o    What constitutes a transfer o    Deriving supervisors via position hierarchy o    Deriving primary assignment in PSFT o    Categorizing and transposition to measures of Payroll Balances to specific metrics to support side by side comparison of measures of for example Fixed Salary, Variable Salary, Tax, Bonus, Overtime Payments. o    Counting of Events – E.g. converting events to fact counters so that for example the number of hires can easily be added up and compared alongside the total transfers and terminations. Multi pass processing of multiple sources e.g. headcount, salary, promotion, performance to allow side to side comparison. Adding value to data to aid analysis through banding, additional domain classifications and groupings to allow higher level analytical reporting and data discovery Calculation of complex measures examples: o    COGs, DSO, DPO, Inventory turns  etc o    Transfers within a Hierarchy or out of / into a hierarchy relative to view point in hierarchy. Configurability and Extensibility support  BI apps offer support for extensibility for various entities as automated extensibility or part of extension methodology Key Flex fields and Descriptive Flex support  Extensible attribute support (JDE)  Conformed Domains ETL Architecture BI apps offer a modular adapter architecture which allows support of multiple product lines into a single conformed model Multi Source Multi Technology Orchestration – creates load plan taking into account task dependencies and customers deployment to generate a plan based on a customers of multiple complex etl tasks Plan optimization allowing parallel ETL tasks Oracle: Bit map indexes and partition management High availability support    Follow the sun support. TCO BI apps support several utilities / capabilities that help with overall total cost of ownership and ensure a rapid implementation Improved cost of ownership – lower cost to deploy On-going support for new versions of the source application Task based setups flows Data Lineage Functional setup performed in Web UI by Functional person Configuration Test to Production support Security BI apps support both data and object security enabling implementations to quickly configure the application as per the reporting security needs Fine grain object security at report / dashboard and presentation catalog level Data Security integration with source systems  Extensible to support external data security rules Extensive Set of KPIs Over 7000 base and derived metrics across all modules Time series calculations (YoY, % growth etc) Common Currency and UOM reporting Cross subject area KPIs (analyzing HR vs GL data, drill from GL to AP/AR, etc) Prebuilt reports and dashboards 3000+ prebuilt reports supporting a large number of industries Hundreds of role based dashboards Dynamic currency conversion at dashboard level Highly tuned Performance The BI apps have been tuned over the years for both a very performant ETL and dashboard performance. The applications use best practises and advanced database features to enable the best possible performance. Optimized data model for BI and analytic queries Prebuilt aggregates& the ability for customers to create their own aggregates easily on warehouse facts allows for scalable end user performance Incremental extracts and loads Incremental Aggregate build Automatic table index and statistics management Parallel ETL loads Source system deletes handling Low latency extract with Golden Gate Micro ETL support Bitmap Indexes Partitioning support Modularized deployment, start small and add other subject areas seamlessly Source Specfic Staging and Real Time Schema Support for source specific operational reporting schema for EBS, PSFT, Siebel and JDE Application Integrations The BI apps also allow for integration with source systems as well as other applications that provide value add through BI and enable BI consumption during operational decision making Embedded dashboards for Fusion, EBS and Siebel applications Action Link support Marketing Segmentation Sales Predictor Dashboard Territory Management External Integrations The BI apps data integration choices include support for loading extenral data External data enrichment choices : UNSPSC, Item class etc. Extensible Spend Classification Broad Deployment Choices Exalytics support Databases :  Oracle, Exadata, Teradata, DB2, MSSQL ETL tool of choice : ODI (coming), Informatica Extensible and Customizable Extensible architecture and Methodology to add custom and external content Upgradable across releases

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• CRM@Oracle Series: Complete Customer Intelligence

  - by tony.berk

  How do you to get sales folks to use a CRM system? Ah, the age-old question (well, at least the one that has been around for the past 10-15 years). Of course, some combination of "Carrot and Stick" always come up as possible answers. You hear talk about, "WIFM" or "What's in it For Me?" Oracle's internal implementation of Customer 360 consolidates all customer information in one place in Siebel CRM and enables the sales rep to present one-face to the customer. Additionally, Customer 360 provides customer intelligence and prospecting tools making it a darn nice "Carrot" for our sales teams to chew on. Check out today's slidecast for an overview. CRM@Oracle - Customer 360 Click here to learn more about Siebel CRM and other Oracle CRM products and here to learn about customers using Oracle CRM. Are you enjoying the CRM@Oracle Series? If you have a particular CRM area or function which you'd like to hear how Oracle implemented it internally, let us know and we'll get it on our list.

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