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By: IBM     Published Date: Jul 05, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, data management, data center
     IBM
By: IBM     Published Date: Jul 06, 2016
Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need.
Tags : ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality, data integration, data center
     IBM
By: IBM     Published Date: Jul 08, 2016
In our 21-criteria evaluation of the dynamic case management (DCM) market, we identified the 14 most significant software vendors — Appian, bpm’online, Column Technologies, DST Systems, Eccentex, IBM, Isis Papyrus, Lexmark Enterprise Software, MicroPact, Newgen Software, OnBase by Hyland, OpenText, Pegasystems, and TIBCO Software — and researched, analyzed, and scored them. The evaluation focused on providers’ adaptive, analytics, and mobile features, all critical to helping enterprises tackle increasing volumes of varied and unstructured work. This report helps enterprise architecture (EA) professionals select the best providers to meet their unique needs.
Tags : ibm, forrester, forrester wave, dynamic case management, dcm, networking, software development, enterprise applications
     IBM
By: IBM     Published Date: Aug 08, 2016
In this solution brief, you'll learn how IBM Integration Bus enables you to: - Eliminate the need for point-to-point connectivity - Connect across an array of packaged applications and web services - Route and transform data in virtually any format so you can read, interpret and convert multiple data formats - Expose and extend back-end systems to mobile devices
Tags : ibm, middleware, api economy, ibm integration bus, business agility, enterprise applications
     IBM
By: IBM     Published Date: Aug 08, 2016
Using IBM API Connect demonstrates how to create, secure, and provide self-service to API across the ecosystem when designing a mobile app.
Tags : ibm, middleware, api economy, ibm api connect, api management, api, mobile, enterprise applications
     IBM
By: IBM     Published Date: Oct 13, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, enterprise applications, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, enterprise applications, data management, data center
     IBM
By: IBM     Published Date: Nov 17, 2016
In this solution brief, you'll learn how IBM Integration Bus enables you to: - Eliminate the need for point-to-point connectivity - Connect across an array of packaged applications and web services - Route and transform data in virtually any format so you can read, interpret and convert multiple data formats - Expose and extend back-end systems to mobile devices
Tags : ibm, middleware, api economy, ibm integration bus, business agility, enterprise applications
     IBM
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
Tags : database, applications, data availability, cognitive applications
     Group M_IBM Q1'18
By: IBM Watson Health     Published Date: Jun 14, 2017
Learn how IBM Watson Health clinical application advisors helped Floyd Health Care System take full advantage of the platform’s many benefits. Business Challenge As part of its journey toward population health management, Floyd wanted to optimize the way it used the IBM® Phytel® solution from IBM Watson Health™ and take advantage of its analytical tools. Transformation With help from an IBM Watson Health clinical application advisor, Floyd expanded its IBM solutions and used their unique capabilities to progress toward a more robust population healthcare model by adding care coordination activities and improving key process measures.
Tags : floyd health care system, ibm, ibm watson health, analytics, healthcare
     IBM Watson Health
By: IBM Watson Health     Published Date: Jun 14, 2017
Electronic health records (EHRs) are necessary, but were not designed to anchor population health management (PHM). This is partly because they lack semantic interoperability, which is the ability of disparate information systems to share data and enable communications among users in a meaningful way. This paper explains how an approach that includes a care collaboration platform can manage population health by aggregating and normalizing the necessary data.
Tags : ehr, ibm, health management, population health management, data aggregation, information systems
     IBM Watson Health
By: IBM     Published Date: Jul 05, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselve
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization, data management
     IBM
By: IBM     Published Date: Oct 27, 2016
A unique point-of-view prepared by IBM Digital Foundation services on how we can help improve application and system performance while reducing costs
Tags : ibm, leadership, ibm digital foundation, innovation, system performance, enterprise applications
     IBM
By: IBM     Published Date: May 26, 2017
Business executives and managers at business-to-business (B2B) enterprises care about time, money, competitive advantage, customer loyalty and growth. Few pay much attention to the vital IT infrastructure that supports transactions and collaboration with trading partners—though that B2B backbone directly affects performance and profitability. In fact, just 26 percent of business managers view B2B integration as a competitive differentiator, according to a study for IBM by Vanson Bourne, a research consultancy. As a result, many enterprises continue to utilize manual and error-prone emails, faxes and file transfers for B2B transactions. Reliance on complex, brittle and antiquated systems to exchange critical data impacts time to market, cost-efficiency and satisfaction across suppliers and end-customers. Modernization of B2B integration in recent years has moved forward in fits and starts, often undermined by competing priorities and misalignment between business and IT managers.
Tags : b2b integration, customer loyalty, ibm, customer growth
     IBM
By: IBM     Published Date: Jun 08, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
Tags : ibm, linux, windows, telecommunications, healthcare, oracle database
     IBM
By: IBM     Published Date: Jul 26, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
Tags : ibm, enterprise data, windows, linux, telecommunications, healthcare, consumer banking
     IBM
By: IBM     Published Date: Sep 28, 2017
This paper presents a cost/benefit case for two leading enterprise database contenders -- IBM DB2 11.1 for Linux, UNIX, and Windows (DB2 11.1 LUW) and Oracle Database 12c -- with regard to delivering effective security capabilities, high-performance OLTP capacity and throughput, and efficient systems configuration and management automation. Comparisons are of database installations in the telecommunications, healthcare, and consumer banking industries. For OLTP workloads in these environments, three-year costs average 32 percent less for use of DB2 11.1 compared to Oracle 12c.
Tags : ibm, enterprise database, oltp, telecommunications, healthcare, consumer banking
     IBM
By: IBM     Published Date: Jul 02, 2018
Talks about the advantages of Oracle on Power Systems in real Oracle environments from IT Economics workload studies with clients.
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     IBM
By: Group M_IBM Q119     Published Date: Dec 18, 2018
There’s some banter about IBM Power Systems not being optimized to run Oracle software. That simply isn’t true. In fact, IBM has engineers on-site at Oracle working side-by-side with them to enable, optimize, certify, and continually deliver solutions to our tens of thousands of joint customers.
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     Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
POWER9 provides the infrastructure foundation for a future-looking organization that is ready to meet today’s business challenges and tomorrow’s advancements. By updating your foundation with the latest POWER9-based servers, you can effectively run your mission-critical requirements alongside modern, dataintensive workloads. POWER9 gives you the reliability you’ve come to trust from IBM Power Systems, the security you need in today’s high-risk environment, and the innovation to propel your business into the future.
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     Group M_IBM Q2'19
By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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     Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Aug 12, 2019
IBM rarely, if ever publicly, talks about the future of IBM Z. When IBM's sales managers have a oneon-one client conversation (under NDA), they might inform the customer about the next processor, but the company rarely talks about the mid- to long-term future publicly. An obvious reason for this is not to disrupt sales, but at the same time, IBM believes that it is sometimes working on problems that the market might not know it has yet. IBM felt that it was doing a disservice to its current and future customers by not being more open, which is why Tarun Chopra, director, Product Management for IBM Systems, and Ross Mauri, general manager, IBM Z, agreed to talk to IDC about the future of IBM Z. In these conversations, IBM was not putting a date on any of the topics it was willing to discuss. But the company was willing to talk about where it is investing R&D dollars and skills.
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     Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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     Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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     Group M_IBM Q3'19
By: Group M_IBM Q4'19     Published Date: Oct 25, 2019
IBM Sterling Secure File Transfer Demo - simplify and scale your file transfers Companies of all sizes in every industry are extremely reliant on file transfer as an essential infrastructure to power business. In fact, 55% of all systems integration is still done through file transfer.? IBM Sterling Secure File Transfer is a battle-tested platform that secures and simplifies scalable file-based transactions. In a single offering, you can: • Automate inbound and outbound file transfer across multiple protocols so you can partner with anyone, anywhere. • Handle your most demanding workloads with reliable, point-to-point file transfers. • Gain full end-to-end visibility and governance to help you meet your service level agreements. • Protect your brand reputation and comply with tightening regulations.
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     Group M_IBM Q4'19
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