As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions. Download this datasheet to learn: What makes EBX™ software unique Various capabilities of EBX software The data it manages

The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.

Ventana’s benchmark research on big data integration will help you become familiar with the tools and technologies you need to help your organization succeed with big data.

Are you considering data virtualization for your organization today? In this paper you will learn 10 core truths about data virtualization and gain essential knowledge for overcoming analytic data bottlenecks and driving better outcomes.

Read this white paper and learn how: • Cloud technology bridges the gap between IT and the business, but on-premises cloud deployments often offer a lower TCO than the public cloud. • Dell enables organizations to create and manage cloud solutions customized to unique needs. • Organizations have several options for building a cloud infrastructure based on Dell solutions. • In the realm of cloud computing, Dell differentiates itself through servers, storage, networking, and integration with infrastructure and management tools. • Implementing a cloud environment requires stakeholder identification, as well as resources and capabilities.

Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.

The shift to value-based reimbursement (VBR) entails more financial risk for providers. Successful management of the transition to VBR can only be achieved when healthcare organizations are clinically and financially integrated to ensure tight care coordination and efficient resource utilization. That level of integration requires the aid of a robust IT infrastructure to support the enterprise. This whitepaper offers the opportunity to learn about new tools for healthcare providers to manage financial challenges associated with value-based reimbursement

Many larger enterprises have a variety of different integration technologies based on deep integration requirements or simply because consolidation failed in past. Hybrid² integration capabilities improve the interoperability and coexistence of multiple integration tools in merged scenarios.

Mobile is the new normal for users to connect and consume content, you need to consider apps, mobile integration,security, analytics, development tools, life-cycle management, various mobile stakeholders, and the overall enterprise mobile ecosystem.

Earlier this year, Gartner released the 2013 Magic Quadrant for Call Center Infrastructure, an annual report that analyzes call center infrastructure vendors for completeness of vision and ability to execute. Explore and compare contact center solutions from today's top vendors and decide which solution is right for you. This is the fifth consecutive year that Genesys has been named a worldwide Leader for Contact Center Infrastructure. The Genesys Customer Engagement platform (referred to as the Customer Interaction Management or ‘CIM’ platform in the report), is the industry’s most complete platform on which companies can deploy an all-in-one, end-to-end scalable contact center Get the 2013 Gartner Magic Quadrant for Contact Center Infrastructure now!

Learn how to improve the efficiency of your pain management workflow and see how these changes will improve the day to day tasks for your nurses allowing them to work more effectively.

The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.

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

Despite increased awareness and focus on defending against targeted attacks from both business and security leaders, organizations continue to be breached and suffer the consequences. Many of today’s security investments are simply not aligned to defend against these targeted threat vectors. Advanced threat detection and response should not be a point solution but rather a combination of technologies and core competencies. Detecting and responding to advanced threats should involve tight integration of multiple security technologies, network analysis and visibility (NAV) tools, the ability to automatically generate content such as security rules and signatures, context on attacker history, and overall customization and flexibility to ensure that the solution is fine-tuned for your specific IT environment.

Communication solutions are reaching an ideal balance of sophistication and ease-of-use. But are you making the most of these technologies by integrating them into your daily workflows to make innovation and collaboration part of every interaction?

How are you collaborating with the amazing communication technology now available? Chances are your organization is doing collaboration ... all wrong. Let's look at 5 common collaboration fails tripping up companies today.

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

6 things you should be doing today to assure fast availability and delivery of your critical web apps.

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.

As Mobile is the new normal for users to connect and consume content, you need to consider apps, mobile integration,security, analytics, development tools, life-cycle management, various mobile stakeholders, and the overall enterprise mobile ecosystem.

Learn how to better manage the demands of data integration and see which tools are the most cost effective and successful at quickly delivering information and driving better business performance.

This competitive review addresses 3 specific capabilities of competing business process management (BPM) suites: - The integration of complex event processing (CEP) - The quality and types of tools that decrease implementation times - The advantages of a truly open product architecture

If you’re evaluating big data integration platforms, you know that with the increasing number of tools and technologies out there, it can be difficult to separate meaningful information from the hype, and identify the right technology to solve your unique big data problem. This analyst research provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals. Read the Buyer’s Guide to Big Data Integration by CITO Research to learn: • What tools are most useful for working with Big Data, Hadoop, and existing transactional databases • How to create an effective “data supply chain” • How to succeed with complex data on-boarding using automation for more reliable data ingestion • The best ways to connect, transport, and transform data for data exploration, analytics and compliance

We live in a digital world, surrounded by the most powerful innovations in human communication since the invention of the printing press. We document our daily lives on a global scale. With Twitter, Facebook, Instagram, and other social media sites, we are always plugged in, consuming and producing content every minute of every day. Understanding the power of social integration is half the battle; finding the right tools and strategies to help you do this easily and effectively is equally important. Knowing what to look for and what to get out of a social experience platform is extremely important in creating a successful campaign, product launch, or dynamic brand experience.

This paper is the result of a recent SANS survey exploring the use of analytics and intelligence today and exposes the impediments to successful implementation. Organizations that are deploying analytics and intelligence properly are experiencing faster response and detection times, as well as greater visibility. However, many are confused about how to integrate and automate their intelligence collection processes.