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data integration

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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 21, 2017
NoSQL databases and Apache Spark are a potent combination for rapid integration, transformation and analysis of all kinds of business data. With its data syncing and analytics capabilities, IBM Cloudant offers unique advantages as a NoSQL database for many Spark use cases. IT decision-makers, data scientists and developers need to know how and when to apply these technologies most effectively. IBM can offer a host of resources and tools to help your organization gain value from Cloudant and Spark quickly, and with minimal up-front investment.
Tags : ibm, ibm cloudant, apache spark, nosql, database
     IBM
By: IBM     Published Date: Jul 06, 2017
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration technology does exactly that. While BLU isn't brand new, the ability to spread the column store across a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology. That, along with simpler monthly pricing options and integration with dashDB data warehousing in the cloud, makes DB2 for LUW, a very versatile database.
Tags : memory analytics, database, efficiency, acceleration technology, aggregate data
     IBM
By: IBM     Published Date: Jul 26, 2017
Business leaders are eager to harness the power of big data. However, as the opportunity increases, ensuring that source information is trustworthy and protected becomes exponentially more difficult. If not addressed directly, end users may lose confidence in the insights generated from their data—which can result in a failure to act on opportunities or against threats. Information integration and governance must be implemented within big data applications, providing appropriate governance and rapid integration from the start. By automating information integration and governance and employing it at the point of data creation, organizations can boost confidence in big data. A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamle
Tags : mdm, big data, automation, organization
     IBM
By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
Tags : scalability, data warehousing, resource planning
     IBM
By: IBM     Published Date: Oct 03, 2017
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are: • Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime. • Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets. Download now to learn more!
Tags : scaling data, big data, customer behavior, product usage, data integration
     IBM
By: IBM     Published Date: Oct 17, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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     IBM
By: IBM     Published Date: Apr 13, 2018
New survey reveals the challenges organizations face in integrating data and their priorities for improving data integration.
Tags : data integration, data, cloud
     IBM
By: IBM     Published Date: Jul 05, 2018
IBM® Information Governance Catalog helps you understand your information and foster collaboration between business and IT by establishing a common business vocabulary on the front end, and managing data lineage on the back end. By leveraging the comprehensive capabilities in Information Governance Catalog, you are better able to align IT with your business goals. Information Governance Catalog helps organizations build and maintain a strong data governance and stewardship program that can turn data into trusted information. This trusted information can be leveraged in various information integration and governance projects, including big data integration, master data management (MDM), lifecycle management, and security and privacy initiatives. In addition, Information Governance Catalog allows business users to play an active role in information-centric projects and to collaborate with their IT teams without the need for technical training. This level of governance and collaboration c
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     IBM
By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     IBM
By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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     IBM
By: IBM     Published Date: Jul 09, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     IBM
By: IBM     Published Date: Aug 09, 2018
New survey reveals the challenges organizations face in integrating data and their priorities for improving data integration.
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     IBM
By: IBM APAC     Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
Tags : data integration, data security, data optimization, data virtualization, database security
     IBM APAC
By: Infomatica     Published Date: May 19, 2015
In this eBook, best-selling author Brian Underdahl explores the fundamentals of data integration and how the latest tools can simplify today’s (and tomorrow’s) data landscape. “Data Integration for Dummies” provides valuable reference if you need to explain data integration to the business, are looking for an alternative to hand-coding data mappings, or simply interested in expanding your knowledge.
Tags : data integration, it infrastructure, data sources, data landscape, data mappings
     Infomatica
By: Informatica     Published Date: Apr 16, 2007
Don Tirsell, Senior Director of Product Marketing at Informatica, discusses "complex data," their recent acquisition of Itemfield, and how Itemfield's technology fits into Informatica's overall data integration platform.
Tags : data integration, crm, crm tool, crm tools, customer relationship management, podcast, informatica, data management/analytics
     Informatica
By: Informatica     Published Date: Apr 16, 2007
On-demand computing is apparently in demand, at least in the eyes of data integration specialist Informatica Corp. The Switzerland of data integration, as some have called it, just announced availability of its first on-demand offering, which is specifically designed to handle data from Software-as-a-Service (SaaS) stalwart, Salesforce.com.
Tags : salesforce, crm tools, crm, customer relationship management, salesforce.com, crm tool, on-demand, ondemand
     Informatica
By: Informatica     Published Date: Apr 16, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
Tags : b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management
     Informatica
By: Informatica     Published Date: Sep 28, 2007
On-demand computing is apparently in demand, at least in the eyes of data integration specialist Informatica Corp. The Switzerland of data integration, as some have called it, just announced availability of its first on-demand offering, which is specifically designed to handle data from Software-as-a-Service (SaaS) stalwart, Salesforce.com.
Tags : salesforce, crm tools, crm, customer relationship management, salesforce.com, crm tool, on-demand, ondemand
     Informatica
By: Informatica     Published Date: Sep 28, 2007
Don Tirsell, Senior Director of Product Marketing at Informatica, discusses "complex data," their recent acquisition of Itemfield, and how Itemfield's technology fits into Informatica's overall data integration platform.
Tags : data integration, crm, crm tool, crm tools, customer relationship management, podcast, informatica, itemfield
     Informatica
By: Informatica     Published Date: Sep 28, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
Tags : b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management
     Informatica
By: Intel Corp.     Published Date: Aug 08, 2012
This report describes how improving the efficiency of data storage, deduplication solutions has enabled organizations to cost-justify the increased use of disk for backup and recovery. However, the changing demands on IT storage infrastructures have begun to strain the capabilities of initial deduplication products. To meet these demands, a new generation of deduplication solutions is emerging which scale easily, offer improved performance and availability and simplify management and integration within the IT storage infrastructure. HP refers to this new generation as "Deduplication 2.0.
Tags : assessing, deduplication, 2.0, second, generation, storeonce, deduplication, appliance
     Intel Corp.
By: Intel® Services     Published Date: Aug 11, 2014
The IHE framework and process provides a model that can help address these challenges of inefficient care coordination, disconnected data silos, and proprietary, non-scalable and cost prohibitive integration strategies.
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     Intel® Services
By: Intel® Services     Published Date: Aug 12, 2014
Learn how to ensure security while integrating legacy systems in the data-driven evolution of healthcare with a strategic API program.
Tags : healthcare, data-driven, api, legacy systems, integration
     Intel® Services
By: JBoss Developer     Published Date: Jan 25, 2016
The ability to integrate systems and share data across the enterprise is a common datacenter need. The needs of an integration bus, the technology used for middleware-based integration, can varyin complexity, data volume, and required performance. Both Red Hat and MuleSoft offer multiple products that can help customers develop and deploy middleware integration solutions. This competitive overview compares Red Hat® JBoss® Fuse to Mule ESB Enterprise.
Tags : red hat jboss fuse, middleware-based integrations, data volume, integration performance, soa, integration solutions, open source licensing
     JBoss Developer
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