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000-M229 | P2040-052 | C2090-611 | 000-026 | 000-R14 | C5050-280 | 000-M82 | BAS-004 | 000-964 | C2180-404 | 000-210 | C2150-596 | C5050-300 | 000-884 | 000-456 | 000-M32 | M2110-233 | C2070-588 | 000-924 | C9560-507 |



records warehouses go mainstream

Make no bones about it, statistics warehouses and datamarts are going mainstream. they're being constructed to serve increasing numbers of sophisticated, demanding conclusion users who usually know a way to drill down into details and operate roll-up summaries at varying stages of granularity. This new era of statistics warehouse clients are at ease coping with multidimensional information cubes and even performing--imagine this--cross tabs! They recognize sufficient about push and pull to expect up-to-date facts by way of the net.

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nonetheless it's now not just end users who are extra refined. organizations are working smarter, too. Heeding past lessons of doomed, multiyear makes an attempt to create The most desirable commercial enterprise information Warehouse--a daunting assignment frequently intertwined with reengineering and counsel architecture company-system concerns--most organizations are determining a phased approach to constructing their facts warehouses.

One such company is Monsanto Co., headquartered in St. Louis. closing September, Monsanto spun off its $four billion chemical company into a brand new company known as Solutia Inc., leaving the $6 billion Monsanto to focus its efforts on lifestyles sciences. Robert B. Shapiro, chairman and chief govt officer of Monsanto, has a vision for the business according to the perception that the evolution of science and know-how is going to drive the industry to a tons closer integration of agriculture, food, foodstuff, and health.

AT a glance: Monsanto The company:St. Louis-based Monsanto these days spun off its chemical business to focus on lifestyles sciences, including agriculture, nutrients, and pharmaceuticals.

The issue:a way to provide different conclusion clients with current advice in a standardized style.

The solution:Design an IT infrastructure that supports assistance enablement.

IT infrastructure:Monsanto used MicroStrategy's DSS Server, DSS Agent, and DSS net for its six web-enabled records warehouses.

top-quality story: income agents in France give remaining-minute assistance to colleagues in Sweden who're at a consumer site making an attempt to shut a deal.

as a result, it has been a busy 12 months for Bipin Junnarkar, Monsanto's senior director of knowledge administration structure (KMA). Junnarkar is accountable not handiest for making sure the records flows amongst Monsanto's 5 company sectors (Agricultural, food & customer items, Pharmaceutical, health & wellbeing, and Sustainable building), however additionally for constructing a knowledge management structure which will support institutionalize the discovery and expertise-sharing processes.

Junnarkar sees the dynamics of the new Monsanto existence sciences business as having an awful lot in regular with both application and biotech organisations. The upside abilities is huge, however the industry frequently handiest rewards the nimblest avid gamers. hence the need for ingenious makes use of of assistance expertise and potential management in regular.

no longer surprisingly, records warehouses play a simple position in Junnarkar's imaginative and prescient of Monsanto's capabilities administration architecture. in reality, all through the previous two and a half years, Monsanto's KMA has constructed 5 diverse enterprisewide facts warehouses and constructed a couple business unit-selected records warehouses. the first one, which has been operational considering the fact that December 1995, become a economic warehouse. it be nevertheless exceptionally small (about 10 gigabtyes), and it be most effective up-to-date once a month after the monthly closings. in line with the success of that first information warehouse, which supplied executives, financial managers, and others with almost immediate access to revenue statements, balance sheets, and budgets, Monsanto has constructed one other information warehouse for procurement, one stocked with logistics and inventory counsel, and two company unit-specific facts warehouses containing regional sales and advertising and marketing facts.

Junnarkar remembers April 1995 when he obtained the mandate to create that first data warehouse. He and his group looked at three OLAP (on line analytical processing) carriers: MicroStrategy, the Stanford group (the enterprise that created MetaCube, which became later bought by means of Informix), and IRI (Oracle due to this fact got IRI and renamed its IRI categorical product Oracle express). every seller become given an information mannequin and a couple of month to get a hold of a solution.

The enterprise selected MicroStrategy's solution. today, Monsanto uses MicroStrategy's DSS Server, DSS web, and DSS Agent to create, distribute, and provide access to the statistics warehouse. tons of of executives, financial managers and assist workforce entry suggestions starting from income statements to the popularity of a customer's order. Some end users use DSS net by the use of their browser; others use the normal "fats customer" DSS Agent. All of them advantage, although, from being able to focal point "extra on the analytical and fewer on the information-gathering" elements of their jobs, says Junnarkar.

Monsanto's statistics structure group (which contains Monsanto CIO Dr. Patrick Fortune) are not resting on their laurels, although that CFO Robert Hoffman now strongly values records warehousing. Monsanto, which is in the manner of changing to SAP, plans to warehouse probably the most SAP data and steadily put into effect more provide-chain administration into its IT methods. Monsanto at the moment warehouses a whole lot of information streams from companions and external statistics sources, and sooner or later, it'll share a few of its warehoused facts with companions. Junnarkar is also aware about the challenge of integrating unstructured facts to Monsanto's warehouses, and that's the reason one rationale he is satisfied with MicroStrategy--its flexibility. The different plus: it's scalable.

in shape warehouses

To deliver a broader view of how main-edge IT organizations are scaling statistics warehouses, Datamation presents here case experiences.

Ochsner health Plan: The phased method

AT a glance: Ochsner fitness Plan The business: Ochsner health Plan is an HMO headquartered in New Orleans.

business issue:Its mainframe-based reviews every now and then suggested conflicting totals.

Key strategy:It uses an incremental strategy to building the statistics warehouse.

equipment used: Oracle8 RDBMS, Oracle express

Hardware: Sequent NUMA-Q 2000

largest challenge: Time spent on information "cleansing."

Award-winning Ochsner health Plan, headquartered in New Orleans, confronted challenges that were akin to Monsanto. With dissimilar statistics sources that too frequently resulted in stories that easily "failed to foot," in response to Estal Fain, vice president and CIO of the one hundred seventy five,000 member HMO, Ochsner decided ultimate June to take a phased method to building its records warehouse. via November, on the conclusion of part I, Ochsner offered 35 reports that had up to now been best obtainable at once from Amisys, a well-liked managed healthcare package running on Ochsner's HP 3000.

The facts warehouse itself is an Oracle8 database operating on a Sequent NUMA-Q 2000 configured with a single quad of 4 processors and a 200G storage device. Fain says Ochsner regarded different hardware (including solar Microsystems' SMP-based UE 10000) and other utility (together with database and warehousing applied sciences from Sybase and Informix), but is completely happy together with his choices. a part of Oracle's appeal become the supply of Oracle's specific OLAP server. presently being deployed as part of section II, scheduled for completion this year, Oracle categorical will give conclusion users extra flexibility to investigate metrics of hobby to HMOs such as patterns of practice (given a clinical episode, what are the commonplace sets of capabilities linked to it?), episodes of care, and counts and amounts.

Ochsner, like nearly each other company that has constructed an information warehouse or datamart, found that a few of its most fundamental ideas (member months, as an instance) were defined in alternative ways through diverse methods. "We had seven different ways to calculate member months," recalls Fain ruefully. soiled information, along with staffing issues (above all go-training present staff for the brand new technologies) have been Fain's biggest challenges. in reality, as a transitional method, Fain employed contract consultants to deploy and set up the basic Oracle warehouse.

standard, even though, Ochsner's records warehouse, already being used by dozens of personnel in finance, clinical administration, and earnings, has been massively a success. Fain attributes part of Ochsner's success to its incremental strategy to constructing the facts warehouse. Phases III and IV will combine greater of Ochsner's financials and earnings and advertising functions into the statistics warehouse. past that, Fain envisions rolling provider family members and get in touch with-core statistics into the facts warehouse. Ochsner's incremental plans for increase seem to be the components for a successful strategy.

ReliaStar: scores of data sources

AT a look: ReliaStar

The company: ReliaStar economic Corp. is a Minneapolis-based mostly financial services company.

enterprise problem:ReliaStar obligatory to consolidate records about particular person customer contracts, funding, and advertising campaigns from disparate statistics sources.

Key approach: set up diverse business-scale datamarts and share knowledge throughout divisions.

equipment used: SAS DataWarehouse manager, Sybase, Brio query, Cognos PowerPlay, and Impromptu

Hardware:high-conclusion mirrored HP 9000 SMP system

highest quality story: Explosive growth of container brokers soliciting for day by day downloads of lead guidance from consumer provider. Most use it to replace their contact manager utility instantly.

ReliaStar's information warehouses signify one more marvelous success story, specifically in the event you consider the fact that its application development and statistics utility groups must contend with between 70 and a hundred and twenty discrete records sources for every of the information warehouses they build.

ReliaStar financial Corp., a Minneapolis-based fiscal capabilities business with more than $20 billion in assets below administration, is a family unit of corporations that offer a whole lot of items: particular person life assurance and annuities, employee advantages, retirement plans, lifestyles and health reinsurance, mutual funds, residential mortgages, and private finance education. As a transforming into enterprise that has acquired many smaller corporations--5 within the last two years on my own--it be no shock that it has scores of records sources.

That, along with mammoth in-residence familiarity with SAS--above all its potential to work with pretty much any records source beneath the sun--led statistics Utility Strategist Fen Hiew and his crew to select SAS Warehouse Administrator as their fundamental tool for constructing their data warehouses. SAS Warehouse Administrator edged out a half dozen other contenders including Carleton Passport, Prism, ETI, and Informatica. Hiew favored the proven fact that the SAS device employs a digital warehouse model, but admits that he has needed to create some "precise" cubes and staged marts to convey performance users demand.

ReliaStar started constructing its first operational facts shop (ODS) that houses their client and contract advice in late 1994, and finally delivered phase I of the records keep together with its customer carrier Workbench software in mid-1996. in preference to do every thing in apartment, ReliaStar sought external knowledge for the records extraction and cleansing manner from Cambridge technology partners. these days, part II of the ODS collects and consolidates records on particular person valued clientele and their respective contract information from more than 120 statistics sources and is used by greater than one hundred analysts and customer provider representatives at ReliaStar. within the closing 12 months, Hiew and his neighborhood have also replied to requests from senior management and enterprise areas reminiscent of advertising, revenue administration, inside audit, and field know-how to construct subject area datamarts by connecting them from the customer and contract ODS and different area enviornment records outlets. These datamarts are housed in a Sybase database, and a number of dozen analysts use Cognos enterprise intelligence equipment or Brio query tools to slice and dice the records.

ReliaStar is a fancy corporation, so one in every of Hiew's leading roles now could be to serve as a useful resource for other divisions as they begin to build their personal statistics warehouses and marts. Hiew is starting to put up repository facts fashions and templates, together with descriptions of a hit records development methods. He plans to step up the tempo of his team's personal internal advertising and training and continue to submit ReliaStar facts warehousing "most reliable practices" to be used across the business.

On the datamining entrance, Joel Portice, director of the company's Integrity Plus division, opted for IBM's fraud administration package as the foundation for a knowledge warehouse for detecting false insurance claims. by means of going the pre-packaged route, Portice estimates he saved about six months of development time and $500,000 cash.

Comcast: having access to monetary data

AT a glance: Comcast The company:Comcast is a various enjoyment and telecommunications enterprise.

enterprise problem: The business essential to supply query and evaluation decision-aid equipment to users of commonly varying competencies at greater than 70 sites.

Key method:Use a device that mimicked the familiar mainframe file "bursting" product.

tools used:Brio enterprise, produced from BrioQuery, BrioQuery.Server, Brio.insight, Brio.Quickview

Hardware: sun E4000

most fulfilling story: Calculating the initial ROI became effortless ("if you are starting with nothing...")

It would not take a intellectual large to realize how brutally aggressive the cable and telecommunications industries are. but if you're sitting in Jim Scott's seat, you'll probably be greater aware of the complexity of the tips web than the rest. Scott is purposes supervisor at Comcast, a different world leader in leisure services and telecommunications.

Headquartered in Philadelphia, Comcast is involved not simplest in wired (including cable) and instant telecommunciations, however also content via important ownership of the QVC tv looking channel and C3 (Comcast content & Communications) and a controlling pastime within the E! leisure channel

No, Comcast didn't want a tool to give its 10 million shoppers access to its information warehouse, simply a number of hundred staffers spread throughout 70 websites throughout North the united states. Of specific activity changed into access to financial data, together with open buy orders and capital guidance--statistics that was buried in a variety of statistics retailers including Oracle Financials. A mainframe-based reporting equipment robotically delivered some 70 diverse stories to the faraway websites using a bursting mechanism so that each and every office best received vital information, and Comcast could have used Oracle's SQLPlus programming to tackle entry to the Oracle Financials facts, however a warehousing solution gave the impression smarter and simpler.

With the aid of outdoor consultants who reviewed the present and expertise reporting methods, Comcast at last settled on Brio utility's suite of equipment in lieu of rivals business Objects and Cognos. Comcast desired equipment that offered IT low administration time and end clients both question and analysis capabilities. in response to Scott, clients find Brio extremely handy to use. just a few have requested latitude-based grouping, but he is assured that Brio will bring that in a imminent edition or factor release. "Brio has been very responsive," he observes.

Scott likes the fact that Brio's web-based distribution system is basically zero preservation and distributes information cubes to end users, using first rate compression algorithms and on-demand reconnection. Scott and his personnel of four are already delivering capital expenditure, prevalent ledger, purchasing, and bill counsel to more than 100 end clients and are in the process of scaling up their information warehouse with the aid of including work-order history, channel suggestions, and operational data. Comcast's change-administration crew, which meets each different week, helps prioritize calls for for additional information entry.

The final analysis?

The ancient imaginative and prescient of building a single, monolithic, dump-and-run vogue information warehouse simply does not reduce it in latest environment. users are savvier and greater disturbing than ever. Mergers, acquisitions, and downsizing both dictate the need for a flexible architecture that may each be scaled and at once re-architected to meet altering (hint: starting to be) demands.

sensible groups are consolidating no longer handiest their data, but additionally their expertise in the form of internally posted best practices. they're using contract aid or consultants to get them off to a running delivery. almost all are deploying facts over the net and letting end clients (which usually include each person from executives and MBAs to staffers in earnings and advertising and customer provider) make a choice from loads of equipment--keeping off a one-tool-fits-all mentality. //

Karen Watterson is an impartial San Diego-primarily based writer and consultant that specialize in database design and information warehousing considerations. She has written a number of books, together with visible basic Database Programming and customer/Server expertise for Managers.

Brio business Server 5.5

Brio TechnologyPalo Alto, Calif.650-856-8000http://www.brio.com

class: OLAP server, consumers

Pricing: Brio business Server $19,950

alternatives: BrioQuery designer $2995/seat; BrioQuery Explorer $795/seat; BrioQuery Navigator $795/seat. Plug-ins: Brio.insight $395/seat; Brio.Quickview $forty nine/seat.

Server working environments:windows NT, Solaris, HP-UX, AIX.

BrioQuery operating environments: Mac, windows three.1, 95, NT

respectable facets:"Zero admin" download of plug-ins. French, Italian, and Kanji versions obtainable. helps dynamic on-demand and broadcast (off-line) experiences.

unhealthy aspects:No thin client assist. No aid for OLAP calculation engine or hypercube on center tier. vulnerable administration tools.

Cognos PowerPlay 5.x

CognosBurlington, Mass.800-426-4667; 781-229-6600;https://killexams.com/questions-and-answers

class:OLAP server, customer

Server pricing:PowerPlay 5.0 $four,995 (NT), $14,995 (UNIX).

client pricing:$695

Server working environments: NT, Solaris, HP-UX, AIX

customer operating environments: windows 3.1, 95, NT

good aspects: big put in base of PowerPlay computer OLAP (and Impromptu client question and reporting) tools. PowerPlay can be used in reporter or explorer modes.

unhealthy features:slow to market with new elements.

DSS Server, DSS net 5.0, DSS Agent 5.1

MicroStrategyVienna, Va.800-927-1868; 703-848-8600http://www.method.com

category:ROLAP server, purchasers

Server pricing: DSS Server 5.0 $37,500 for 20 named users; DSS internet 5.0 (requires DSS Server 5.0) $17,500 for 5 users; DSS Architect 5.0 $three,995 (one reproduction required for DSS Server or DSS internet); DSS Administrator (non-compulsory) $35,000.

client pricing: DSS Agent 5.1 (common "fats" client) $995/named person; DSS Objects 5.0 (OLE API) $595/named consumer.

Server operating environments:DSS Server and DSS net: windows NT 4.0; DSS Agent: home windows 3.1, ninety five, NT, OS/2.

decent points: native- and server-caching options. DSS Agent helps auto-export to access. good file wizards both for DSS web purchasers and DSS Agent clients. CEO Michael Saylor, often stated as "visionary," is a brilliant promoter.

bad facets:DSS internet requires ActiveX browser for surest performance (HTML display of grids and graphs is much less useful), and it is an expensive, complex set of equipment.

Oracle express Server 6.x

OracleRedwood Shores, Calif.650-506-7000http://www.oracle.com

class: OLAP server, valued clientele

Pricing:$3995/concurrent consumer (includes categorical net Agent)

options: personal express $695; categorical Analyzer $595; categorical Objects $3995/developer; specific fiscal Analyzer $3995/concurrent person; express sales Analyzer $4995/concurrent consumer.

express server operating environments: home windows NT, AIX, Solaris, HP-UX

respectable elements: excessive-conclusion OLAP server that may also be used to boost personalized choice-help purposes. convenient off-the-shelf financial and earnings analyzer alternatives for conclusion clients.

dangerous points:complicated and proprietary (requires programming with specific language). best slowly fitting stronger intregrated with Oracle household of equipment following purchase from IRI software in 1995.

SAS/Warehouse Administrator

SAS InstituteCary, N.C.919-677-8000http://www.sas.com

class: records warehouse design, extraction, transformation, and renovation

Pricing: $35,000

operating environments: UNIX workstations and servers (Solaris, HP-UX, AIX, Digital UNIX), and PCs (Windows95, OS/2, home windows NT).

good features: may also be used to access and integrate rankings (50+) of different file kinds, which is likely more legacy file aid than is obtainable through another product. The product is tightly built-in with SAS end-consumer equipment, together with the new SAS Miner. The Scheduler API lets programmers write to working device schedulers (e.g. CRON, NT Agent), to time table jobs for computerized execution.

bad elements: Creates a "digital" warehouse, no longer a actual facts shop that carries facts. Job dependency regarding scheduling; the information warehouse refreshes are sluggish.

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