 Cognos BI0-145 : IBM Cognos 8 BI Multidimensional Author ExamExam Dumps Organized by Martha nods
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Exam Number : BI0-145
Exam Name : IBM Cognos 8 BI Multidimensional Author
Vendor Name : Cognos
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Cognos BI test
When Jim Goodnight, founder and CEO of SAS Institute isn’t working a multi-countrywide, $1 billion-plus software company, he’s doubtless out somewhere being caustic, bashing Microsoft or Oracle or Cognos — or struggling via yet another press
interview.
Yet he’s extremely accessible, makes a lot of appearances earlier than purchasers, together with the SUGI overseas user community assembly for SAS users in Seattle two weeks ago, where he talked about a new free up of the company’s enterprise intelligence utility.
past this week, Goodnight spoke to IT enterprise community editorial director Martin Slofstra. discover about his newest pet task and how he likes to spend his Saturday mornings.
ITBUSINESS: Some would say the real challenge is to deliver enterprise intelligence reporting tools to the hundreds. How are you planning to do that?
Jim Goodnight: What most companies are calling company intelligence are simply SQL queries to a database where they let you create a question very easily. You try this, it goes to the database and the effects come back from the query. That’s what corporations like Cognos and business Objects are calling company intelligence. It’s basically very basic, very low-end, very handy-to-use tools for massive numbers of users.
we have at all times concentrated on the extra heavy-obligation analytical capabilities attractive to the colossal number of technical americans in a company. but the mass of low degree or company consumer that didn’t really need all that vigor turned into going somewhere else for ease of use. That’s probably the most things we're correcting. The 9.1 unencumber can be giving much more desirable question and reporting equipment at the low level. (Ed. observe: SAS 9.1 starts off shipping to valued clientele in a phased unencumber beginning Aug. 31).
ITB: So there could be a two-pronged method, one for technical users and one for executives and enterprise clients?
JG: That’s precisely what we are speaking about. We certainly not paid a great deal consideration to the low conclusion of the market and corporations like Cognos and business Objects have. We know we’ve given loads of market share there and we're going to try to take a few of it back.
ITB: What about Microsoft? They’ve introduced their intention to unencumber a beta check edition of its SQL server business intelligence platform with reporting capabilities later this yr.
JG: Microsoft, at this point, is pretty low on our competitor listing.
ITB: smartly it’s an intention, they don’t have a product yet.
JG: yes, and that they’ve additionally introduced their intention to take over all of the 4 to five million small groups in the nation (U.S.) as neatly. They’ve announced loads of stuff they will take over.
ITB: nonetheless, if BI is to get bigger, and if you are looking to do business-vast reporting on a real-time foundation, there are a lot of underlying architecture and integration issues that you just also should address.
JG: The most effective issue in doing any of here's truly getting the records collectively in all of the disparate sources it's discovered. That’s most corporations’ major problem. after we go to some of the banks and financial institutions, it takes a long time to convince them the toughest a part of the issue is going to be getting the information out of your distinct silos. That’s all the time one of the most largest problems, the inability to pull the statistics together.
ITB: You’re some new areas as neatly, possibility management as an example?
JG: We’re doing lots of work in market chance. We even have a few installations the place we are engaged on operational risk, one in Belgium and one in Poland, and we're working in opposition t the clock for Basel II. (Ed. note: legislations deliberate for 2007 so as to drive banks and financial associations to meet more stringent reporting necessities for exposure to possibility specifically when it involves loans and increasing credit score.) it truly is a neighborhood the place we're beefing up on body of workers. one of the vital issues that looks to be in additional demand is credit score chance, loans that a financial institution may have, we deserve to do some simulation and see what basically is at risk there.
ITB: There’s a lot of number crunching and lower back-conclusion processing worried.
JG: SAS is the realm’s most beneficial number-cruncher. That’s what we do. We’re heavy into analytic capabilities and crunching numbers. Take anti-cash laundering (Ed. notice: SAS unveiled anti-cash laundering software in October 2002). Working with one of the vital financial institution’s records, we have been processing about 20 million information in a few minute and a half. here's the kind of efficiency we are getting.
ITB: about a 12 months ago, you additionally launched a textual content mining product for analyzing e-mails and documents. How’s that been going?
JG: It’s a neighborhood that a lot of people accept as true with you factor this engine at a bunch of textual content and it comes again and tells you all styles of things about it. That’s really no longer what it’s about. by using and large, we're taking all of the “”key notice”” frequencies and doing a mapping so that they can forecast. consistently someone would must go through and rating a document on how critical is, probably on a scale of one to 100. They move through and ranking perhaps a number of hundred documents, after which we construct a mannequin so that we are able to precisely predict that rating. earlier than, this became all being performed manually.
ITB: can you give an instance?
JG: We had one condition of an organization getting giant numbers of grievance letters. They started scanning these in and then they'd score it, so that they can be able to comprehend, out of a whole lot of hundreds of incoming documents, what necessary to be regarded into. Or, if you're a information wire, and you have got a model that can rating it, these things is essential. We’re using frequency counts of phrases to assist us turn into the predictor of outcome.
ITB: Being capable of predict is riding essentially every little thing you do?
JG: sure, we’ve received some new modules known as excessive-efficiency forecasting that we are able to look at the time traits during the last and do extremely correct forecasts. Take a store that’s obtained a pair hundred heaps of SKUs (stock-retaining devices) and that they are looking to understand or forecast the sales extent of every SKU at hundreds of diverse locations. we will produce forecasts in a depend of minutes. We’re working with a number of agencies to be capable of forecast demand for the quite a few items they produce and then move to deliver chain optimization, that is, move all that (forecast) guidance into the give chain.
ITB: You need to be capable of analyse in opposition t every little thing, even if or not it's ERP, provide chain or CRM. So there isn’t any category of facts you aren't taking a look at?
JG: That’s exactly right.
ITB: except that the data is not clean, that information is everywhere, and whereas each CIO may also desire an business view, isn’t it a nearly unattainable purpose to achieve?
JG: obviously one of the things you need to do is figure on the high-quality of the records. We bought a corporation a number of years in the past that cleans up information warehouses and facts tables. for example, a person’s name is represented across the entire application a technique, so one can take the entire occurrences and versions of a name and an tackle, and map them into a single name and tackle for a selected person. This turns out to be very crucial after we do anti-funds laundering, to be in a position to make certain we’re now not coping with one of the most unhealthy guys that are on our insurer’s watch list.
ITB: nonetheless, the business success fee isn't very good. appear at the latest, for example, one analysis enterprise (Cutter Consortium) suggested these days that handiest 27 per cent of groups are happy with their information warehouses.
JG: a lot of people try to enforce facts warehouses with a competitive product like Oracle and no wonder it failed. I believe SAS has been very a success in the information warehouse company. We are inclined to indicate building smaller statistics marts and regularly grow as much as an business-huge warehouse. people who start with the concept to build some massive, gigantic business large warehouse most frequently fail. It actually simply alterations from beneath them while they are attempting to do it.
ITB: The industry is going via a true tough time. What’s your tackle when issues will come again?
JG smartly, i am hoping it comes returned quickly, our global revenues are only up 18 per cent….
ITB: So how have been you in a position to buck the trend?
JG: I definitely consider businesses like SAS which are within the business intelligence space are going to be the first neighborhood of businesses to return out of the slump, and that’s because we give application that helps groups preserve their purchasers. if they should determine which consumers they're prone to lose next, we can do this. in the event that they are doing marketing and need to determine which possibilities they must include in a crusade, we can try this. It simply goes on and on. The class of application we produce may also be used for and produce a superb return on funding and assist that bottom line. this is no longer the time when individuals say let’s beginning a $25 million undertaking and deploy a new ERP device. That’s no longer going to ensue for rather a long time.
ITB: have you also been in a position to keep the same stage of profitability?
JG: We’re down just a bit bit but that’s because we chose no longer to lay off any one and we selected to proceed to employ. We expanded our workforce final yr with the aid of eight and a half per cent. Being a non-public business, we can take an extended-term view and we don’t ought to fret about quarterly earnings. Two years in the past, I referred to, ‘The market is obviously slowing down, there’s a lot of people being laid off, now’s the time to go out and rent decent americans. There are good earnings americans out there, there are good R&D individuals accessible, they're the americans we are hiring.
ITB: Are you joyful that IPO you as soon as deliberate under no circumstances went through?
JG: Oh, yeah. We under no circumstances even acquired that close. We have been nevertheless working on inside financial methods to make our auditors believe they may audit our books stronger.
ITB: Do you believe that the stigma that SAS is extra for the technical person nevertheless exists?
JG: Our rivals always paint us in the corner – that we're application for a small neighborhood of techies. I’ve heard the CEO of company Objects stand correct in entrance of me and paint that graphic. I obtained up afterwards, and stated, ‘well, that small group is producing about four instances as a great deal income as you.’
ITB: So it’s handiest your opponents who are in the back of this sort of speak?
JG: completely.
ITB: Are you nevertheless concerned with R&D at SAS?
JG: no longer as plenty as i used to be. The last time I actively programmed changed into a month in the past working on a Saturday morning performing some programming. however I very a whole lot omit it.
ITB: What were you working on?
JG: i used to be working on anti-cash laundering.
ITB: So, will that reveal up in a product?
JG: yes, it will eventually. You understand, it’s nearly like engaged on a puzzle — being alone and the use of your intellect and focusing on one certain thought method. It’s a very good aid and it’s always fun. Like some people want to examine a very good e-book, i like to put in writing a fine application.
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