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Vendor : IBM
Exam Code : 000-M94
Exam Name : IBM InfoSphere DataStage Fundamentals(R) Technical Mastery Test v1
Questions and Answers : 47 Q & A
Updated On : April 18, 2019
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000-M94 IBM InfoSphere DataStage Fundamentals(R) Technical Mastery Test v1

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000-M94 exam Dumps Source : IBM InfoSphere DataStage Fundamentals(R) Technical Mastery Test v1

Test Code : 000-M94
Test Name : IBM InfoSphere DataStage Fundamentals(R) Technical Mastery Test v1
Vendor Name : IBM
Q&A : 47 Real Questions

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Bundamedik Healthcare Transforms Administration and Finance management programs with IBM big facts and Analytics | Real Questions and Pass4sure dumps

ARMONK, N.Y. and JAKARTA, Indonesia, July 21, 2014 /PRNewswire/ -- IBM (NYSE: IBM) announced today that Bundamedik Healthcare gadget, the main healthcare operator in Indonesia, is the usage of its huge statistics and Analytics expertise to seriously change the administration and economic administration programs of the primary health facility in its community -- RSIA Bunda Jakarta. through integrating these records methods, the health center can now use analytics to assist in decision making for important economic business approaches, reminiscent of budgeting, reporting, scorecarding, analysis and forecasting.

due to this fact, Bundamedik is now in a position to gain a holistic and greater correct view on the average spending and price range status at RSIA Bunda Jakarta. here's assisting to support growth plans by ensuring the materials of the clinic are aligned with company pursuits.

With a growing inhabitants of 234 million, Indonesia is witnessing a quick expansion of the core classification and is poised to develop into a key market of boom for the healthcare business. also, the rollout of the conventional health coverage in January has introduced an expanding demand for higher satisfactory healthcare functions, pushing clinical care providers to raise their operational efficiency and patient services.

As some of the leading healthcare suppliers in Indonesia, Bundamedik offers creative and knowledgeable clinical care to patients through the use of know-how and resourceful options. In its bid to profit share within the local healthcare market, which Frost & Sullivan expected will be value US$60.6 billion in 2018 1, Bundamedik realized it essential to live on the forefront of clinical expertise and technology. 

Bundamedik turned to IBM, its long-time period IT options partner, to revamp its expertise programs in line with an superior IT architecture and data storage system.  IBM huge information and Analytics technology – together with IBM InfoSphere DataStage, and IBM Cognos TM1 and IBM Cognos company Intelligence – became used to integrate all the methods in the administration and finance departments in RISA Bunda Jakarta, which become opened in 1972. 

The deployment of the built-in records gadget has cut can charge and time spent on administration and budgeting strategies as Bundamedik's personnel no longer deserve to stream batches of facts round manually. also, the unified IBM statistics warehouse makes it possible for Bundamedik to immediately bring together and retrieve information from discrete and separate sources, shortening the method to finished enterprise stories from days to minutes. The Bundamedik management is consequently in a position to expedite approvals involving funds planning, while applying the built-in scorecards and strategy management capabilities to monitor company efficiency.

"expertise management is part of Bundamedik's development to help our vision of being Indonesia's leading healthcare professional with innovation, and a strong IT device has all the time been the key to our success in constructing our healthcare service network," noted Dr. Ivan Rizal Sini, MD, FRANZCOG, GDRM, SpOG, Chairman of Bundamedik. "we have been continuing to computerize all elements of our services for the previous 30 years. we are able to hold our commitment to our shoppers and confirm highly personalised look after each affected person with actual-time patient and medical information to enrich their general adventure."

For the 2d part of the task, IBM will help Bundamedik implement a affected person-situated built-in carrier solution to allow sufferers to get clinical services from the entire healthcare company's branches via an integrated portal answer.

"Bundamedik is a pretty good example of how a company is applying advanced IT methods for advantageous management, and IBM is proud to be Bundamedik's long-time period IT companion in its 30-year increase event," pointed out Nina Wirahadikusuma, country utility group manager, IBM Indonesia. "With IBM's superior large data & Analytics know-how, IBM has confirmed yet once more its persisted commitment to aiding our shoppers in Indonesia to tackle their pressing enterprise challenges." 

About Bundamedik Healthcare equipment

Opened in 1972, Bundamedik started as a medical institution providing scientific capabilities for only mothers and youngsters. It has on the grounds that developed into one of the vital superior healthcare organizations with a community of eleven hospitals and clinics offering well-known and really expert health capabilities and a analysis centre. For extra suggestions, visit:

About IBM massive information and Analytics

IBM has dependent the area's deepest portfolio of big records and Analytics technology that spans research and development, options and application. IBM has invested $24 billion to construct its capabilities in big facts and Analytics via R&D and more than 30 acquisitions. nowadays, greater than 15,000 analytics consultants, 6,000 trade solution company partners and four hundred IBM mathematicians are helping clients use massive facts to seriously change their companies. 

For greater guidance about IBM huge statistics and Analytics, talk over with and

comply with IBM big records & Analytics on Twitter @IBMbigdata and @IBMAnalytics.

1 Frost & Sullivan : Indonesian Healthcare Expenditure Market to reach US$60.6 billion in 2018. up.pag?docid=285641596

Contact(s) tips

Rina SuryaniCommunications, IBM Indonesia+sixty

Harriet IpIBM external relations +sixty

brand -

supply IBM

Copyright (C) 2014 PR Newswire. All rights reserved

Accenture Named IBM’s 2015 worldwide Analytics global gadget Integrator of the 12 months | Real Questions and Pass4sure dumps

Accenture Named IBM’s 2015 international Analytics global gadget Integrator of the yr

manhattan; Dec. 2, 2015 – Accenture (NYSE: ACN) has been named IBM’s 2015 global Analytics international equipment Integrator of the 12 months. This award acknowledges Accenture for its company performance, imaginitive options and deep advantage across the IBM Analytics portfolio. 

Accenture Analytics’ Narendra Mulani (center) accepting IBM’s 2015 worldwide Analytics global gadget Integrator of the yr award from (l to r): Mariella Razetto, vice chairman, worldwide company accomplice earnings & Ecosystem development, IBM Analytics; Beth Smith, generic supervisor, Analytics Platform, IBM Analytics; Neil Isford, widely wide-spread manager, client Success, Analytics options & services, IBM Analytics; Frank Luksic, frequent supervisor, customer Success, IBM Analytics

The award became introduced to Accenture all over the IBM company associate Summit at IBM perception 2015 on October 24 in Las Vegas, Nevada.

“Being named IBM’s worldwide Analytics global equipment Integrator of the 12 months is a significant cognizance for Accenture that showcases our skill to bring imaginitive analytics options to customers throughout industries and all over the world,” talked about Narendra Mulani, senior managing director, Accenture Analytics, a part of Accenture Digital. “we now have been participating with the IBM technology companies for more than two a long time and appear forward to our persisted efforts to assisting consumers flip records into an asset and make perception-pushed selections for a aggressive talents.”

Accenture is likely one of the world’s biggest technology features suppliers for IBM software and hardware, with more than 40,000 practitioners global professional in IBM technologies who carry a large range of features throughout the IBM solution portfolio. Alongside analytics and large statistics, these encompass carrier-oriented structure for application and middleware integration, business system management, commerce, smarter infrastructure and Infrastructure-as-a-carrier, mobility and protection. specific to analytics and big information, Accenture offers complex Digital transformation projects round a single view of client and Predictive Insights, leveraging IBM utility solutions that consist of: statistics first-class and governance plus staging with DataStage and QualityStage; cloud information warehousing leveraging Bluemix with its significant range of large records and cognitive (Watson) services; master statistics administration with InfoSphere MDM; company Intelligence with the Cognos family unit including TM1 for economic performance administration; and predictive analytics with SPSS; and business content administration with FileNet, Case manager, Datacap and StoredIQ to capture, radically change, convey and govern content material all the way through the business.

About AccentureAccenture is a worldwide administration consulting, technology services and outsourcing business, with greater than 358,000 individuals serving consumers in more than 120 international locations. Combining unparalleled journey, complete capabilities across all industries and enterprise features, and wide research on the area’s most successful organizations, Accenture collaborates with shoppers to assist them turn into high-performance groups and governments. The enterprise generated net revenues of US$31.0 billion for the fiscal year ended Aug. 31, 2015. Its domestic web page is

Accenture Analytics, part of Accenture Digital, supplies insight-driven consequences at scale to help companies enhance their efficiency. With deep business, purposeful, enterprise manner and technical journey, Accenture Analytics develops imaginitive consulting and outsourcing functions for clients to aid make sure they acquire returns on their analytics investments. Accenture also offers analytics systems that may power facts-driven selections: the Accenture Insights Platform– a cloud-based, conclusion-to-conclusion analytics solution designed to bring real-time actionable insights – and the Accenture Analytics applications Platform – a scalable platform that develops business- and performance-selected superior analytics applications that are reusable, configurable and adaptable to fulfill the wants of every wonderful enterprise and its individual clients. For extra tips observe us @ISpeakAnalyticsand visit 

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  Contact: Kathryn ZbikowskiAccenture+ 1 917 452

UNC health Care looks to big information to in the reduction of readmissions | Real Questions and Pass4sure dumps

UNC fitness Care is a sprawling business with big amounts of facts flowing throughout six hospitals, including an academic scientific center, a melanoma core and neurosciences hospital.

however as it begins pushing into the realm of huge records, the Chapel Hill, N.C-primarily based fitness gadget is just as concentrated on corralling tips in its core line-of-company techniques and setting up a basis of competencies and expertise to function superior analytics.

certainly one of its first huge records projects, focused on refining its chance scoring for 30-day medical institution readmissions, has validated its years-lengthy effort to construct an infrastructure to utilize predictive modeling, computing device gaining knowledge of and different sophisticated methods throughout the business, in keeping with Jason Burke, device vp and chief analytics officer at UNC fitness Care’s enterprise Analytics and data Sciences division.

hospital readmissions were a chronic difficulty industrywide; the federal executive has in recent years refused to cover the charges of readmissions for a starting to be number of circumstances, believing that lots of these readmissions are avoidable and are the result of breakdowns in care management and different medical care shortcomings. due to this fact, fitness methods are focusing on reducing 30-day readmissions by way of better choosing which sufferers are in danger to be readmitted and ensuring they're communicating commonly with these sufferers, as well as offering comply with-up care after they’re discharged from the medical institution.

“we now have a number of massive records initiatives, however before you are attempting to handle giant amount of distinctive backyard facts and streaming records—how people now define ‘large data’—you ought to take care of the records that’s on your wheelhouse,“ Burke says. “The industry is moving towards an environment where genomics and different forms of precision medicine are going to be a competitive requirement. after we looked at what’s coming, we decided that it’s crucial that we focus on imposing a gaining knowledge of health techniques mannequin.”

also See: heart organization building massive data platform to assist precision drugs

The getting to know health methods mannequin, first described via the Institute of drugs, calls for alignment of medical analysis, informatics and incentives at a health gadget to center of attention on continual improvement and innovation. The overarching goal is to make use of analytics and medical analysis to always find the right way to increase the pleasant of clinical care, and embed those improvements in systemwide top-rated practices. “That’s now not going to turn up organically—you should align a whole bunch of individuals and processes and technologies,” Burke provides.

The big information readmissions initiative turned into another step down the path toward having a learning methods mannequin in vicinity. UNC health Care combined inner EHR advice with ZIP Code and adult-stage socioeconomic records to enormously improve its capacity to determine current patients at excessive chance of being readmitted. Armed with that suggestions, the fitness equipment is working on tips on how to embed that intelligence into its workflows to hold an in depth eye on excessive-possibility sufferers and decrease the chances that health problems will take place.

UNC health Care’s analytics effort is powered via an advanced systems architecture.

The fitness equipment decided a number of years in the past to typical its electronic health statistics platform through adopting an enterprise EHR from Epic. because then, it’s adopted a couple of Epic modules--including registration and scheduling, health suggestions administration, hospital billing and an Epic analysis application—however has additionally created a separate enterprise facts warehouse atmosphere, called the Carolinas statistics Warehouse, that brings together data from its EHR and different core systems reminiscent of laboratory, pharmacy and registration.

The warehouse runs on the Netezza platform from IBM. That foundation is structured on IBM’s Unified records mannequin, which is a healthcare-particular blueprint of statistics warehouse design, business terminology and evaluation templates. IBM’s InfoSphere DataStage is used for ETL from the health gadget’s core software as well as for external information feeds, such as claims information.

Sitting atop the IBM groundwork is a SAP company Objects ambiance that UNC health Care analysts use for company intelligence and reporting. past that core groundwork, UNC health Care is the use of a slew of analytics tools to mine its tips. “As an tutorial scientific core, we now have lots of researchers stepping into the statistics, so there are a number of circumstances the place SAS and R equipment are getting used, and we’re starting to see an expanding volume of Python,” Burke says. SAS, R and Python are packages of equipment and programming languages that allow clients to build statistical models and algorithms.

additionally See: extra providers the use of analytics to reduce readmissions

“You have to believe about typical method when constructing the structure. while there are loads of options being provided by way of providers of transaction-based mostly systems, you’re no longer going to be operating in that type of a homogeneous information environment, where the entire information is formatted and standardized in keeping with one seller’s information modeling necessities. You don’t wish to have any restraints on what styles of statistics you could model for your information warehouse.”

UNC fitness Care’s readmissions initiative utilized predictive analytics to see even if it might enhance its scoring methodology to establish which patients had been most at-risk to return to the clinic inside 30 days of discharge. With the assist of Forecast health, a Durham, N.C.-based mostly predictive analytics firm, the fitness equipment utilized EHR facts and ZIP code and person-degree socioeconomic information to enhance individual risk scores. The chance scores are compiled from a large number of variables run though the predictive algorithms to calculate numerical grades, which indicate low, moderate or excessive dangers for readmission.

the first query the health gadget wanted to reply, Burke says, is whether the usage of superior analytic strategies, during this case predictive analytics, may improve its scoring. greater than 30 models have been demonstrated using laptop getting to know and other recommendations. “The reply became a convincing yes, we discovered that those analytic strategies offered a dramatic development in our skill to predict possibility,” Burke says.

The predictive fashions developed all through the trouble had been greater than 30 p.c greater correct at choosing sufferers in danger who have been later readmitted to the medical institution.

UNC fitness Care used the C-Statistic as its average measure of the predictive accuracy of its logistic regression mannequin. The C-Statistic gives the chance a randomly chosen patient who skilled an experience, such as a ailment or situation, had an improved risk rating than a affected person who had no longer skilled the adventure.

The accuracy of its models approached 0.9 value on the C-Statistic curve (a 1.0 price indicates a perfect cost). “You in reality can’t get a great deal better than that, which was an essential validation of the infrastructure we put in location,” Burke says. “it might probably seem glaring that advanced methodologies would yield more advantageous consequences, but many hospitals have used average methodologies like the LACE index for years, and it’s important that you just provide evidence to stakeholders that advanced analytics may also be clinically advantageous.”

The 2d question the health system desired answered turned into if employing the ZIP code and person-stage socioeconomic information would enrich the accuracy of its predictive fashions. The answer to that question, Burke says, turned into blended. together with the sociodemographic records didn’t supply lots of a lift in terms of performance of the fashions, however that’s in colossal half since the models have been so correct using only EHR information. “We didn’t discover that sociodemographic information improved the fashions, however it did enhance our understanding of the connection between the longitudinal medical records and sociodemographic assistance. As I inform students when I’m educating here, there's a correlation between buying milk and buying cereal.”

despite the fact, whereas the sociodemographic statistics didn’t necessarily enrich the accuracy of the possibility models, it did make the analyses much extra actionable, a important capabilities to care suppliers. “It’s one element to know that a affected person is at excessive possibility for readmission, it’s a different element to understand that patient lives in a meals wasteland, or that they live alone or are under a great deal of monetary stress. That type of tips offers physicians and care managers an idea of what conversations to have with each particular person.”

The massive information effort was currently completed, and UNC health Care is now within the system of devising how you can contain the findings into clinical and operational workflows. “once you have the analytics in place, the trick is devising tips on how to plug the intelligence into the EHR, which is ideally the way you need caregivers to see it,” Burke says. ”but we even have to verify what information we need to embed into the workflows—we need to latest greater than just a ranking, we want that actionable records attainable too.”

but to get to the point the place it might make the most of advanced analytics has taken a number of years and a significant construct in terms of workforce and technologies, Burke says. the trouble relies on a set of “pillars” UNC health Care has dedicated to for creating an advanced analytics atmosphere, together with:

1. Analytical product solutions development: as a substitute of 1-off tasks, the fitness equipment makes a speciality of engineering reusable data and analytics assets that can be used as a single source of reality across the commercial enterprise. “We wish to put assets in location so it doesn’t matter what query you’re asking, which you can use those assets to get a solution,” Burke says.

2. records governance: The fitness device continues to work on records first-rate algorithms, master information administration methodologies, and provisioning counsel house owners and facts governance teams to define key assets. “We’re attempting to refine the octane of the records gasoline we’re placing into our infrastructure,” Burke says.

three. Analytical consulting: diverse enterprise units will continue to make use of their personal analytics, most of whom have no journey with inferential analytics, records mining, neural networks or desktop learning, amongst other suggestions. Burke’s division has a gaggle of enormously expert analysts tasked for presenting those potential and/or working towards to analysts in these company gadgets.

four. conclusion-user enablement: UNC fitness Care has launched an effort to lessen limitations for end users. “definitely, setting up options to allow end-users to get their analytics wants met without being expert on 30 diverse equipment?” Burke says.

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