Published By: Raritan
Published Date: Jan 11, 2017
As our businesses become increasingly digital, we tend to think about technology in non-physical terms. Our IT infrastructure becomes “the cloud.” Our servers and storage become “virtual.” Our networks become “software-defined.”
The reality, however, is that information technology (IT) always depends on physical infrastructure. Without hardware there is no software. So to lose sight of technology’s physical realities is to jeopardize the wisdom with which we manage its physical underpinnings. And unwise management of those physical underpinnings leads to both higher operational costs and higher operational risks.
Complexity, globalization and digitalization are just some of the elements at play in the risk landscape—and data is becoming a core part of understanding and navigating risk.
How do modern finance leaders view, navigate and manage enterprise risk with data? Dun & Bradstreet surveyed global finance leaders across industries and business types. Here are the top trends that emerged from the study:
1. The Enterprise Risk & Strategy Disconnect—Finance leaders are using data and managing risk programs, but over 65% of finance leaders say there’s missing link between risk and strategy.
2. The Risks of the Use and Misuse of Data—Up to 50% of the data used to manage modern risk is disconnected. Only 15% of leaders are confident about the quality of their data.
3. Risky Relationships—Only 20% of finance leaders say the data they use to manage risk is fully integrated and shared.
Download the study to learn how finance leaders are approaching data and enterprise risk management
Stories and statistics behind successful analytics projects
The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries.
Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data.
The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
Digital transformation significantly improves the performance and reach of an enterprise and has become a top priority for IT and business leaders across the globe.
Read on to find out how Cisco's Architecture can enable Digital Transformation.
We evaluate enterprise LAN vendors providing wired and wireless access layer connectivity. Network leaders should evaluate vendors based on their ability to offer the same network applications across both the wired and wireless infrastructure and address new IoT challenges.
This whitepaper explores how Oracle Database Exadata Express Cloud Service is the ideal entry-level service for running Oracle Database in Oracle Cloud. It delivers an affordable and fully managed Oracle Database 12c Release 2 experience, with enterprise options, running on Oracle Exadata.
Published By: HPE APAC
Published Date: Feb 23, 2017
Read this extract and the full reports to find out people's perceptions regarding hyperconverged infrastructure and includes overall IT challenges, sentiment around the technology and an in-depth look at key uses cases that are supported by the technology.
This whitepaper discusses why speed, or throughput, is so critical for today’s Internet users, provides a historical perspective on the Internet’s TCP protocol underpinning and describes how the FastTCP protocol addresses the needs of today’s Internet.
Published By: Workday
Published Date: Mar 20, 2017
Is your institution running on legacy technology? The Gartner report “IT Market Clock for Higher Education, 2016” gives CIO and IT leaders a model to assess current technology and future needs—allowing you to begin moving from legacy systems—such as ERP suites and on-premise and open source software—to the cloud.
In this white paper, IDC discusses the inherent difficulties associated with traditional backup schemes and the changing dynamics of data protection strategies. We examine Oracle's Zero Data Loss Recovery Appliance (ZDLRA) and the role it can play in providing significantly improved service levels for all types of Oracle databases.
This Technology Spotlight examines the evolving primary flash array market with a particular emphasis on what next-generation flash-driven enterprise storage architectures will look like. It also looks at the role Pure Storage, with its FlashArray//X, plays in this strategically important market.
El objetivo de las operaciones de un almacén es dar una respuesta perfecta los pedidos: entregar exactamente lo que un cliente pide, a tiempo y con una eficiencia óptima. El módulo de almacenes de una solución de planificación de recursos empresariales (ERP – Enterprise Resources Management) puede ayudar a los almacenes más pequeños. Pero los módulos de gestión de almacenes de los ERP tienen limitaciones y, en el caso de empresas con operaciones más complejas, puede ser más inteligente optar por las capacidades adicionales de un sistema de gestión de almacenes avanzado (WMS, Warehouse Management System).
In July 2016, Pure Storage commissioned an independent study, conducted by 451 Research, that surveyed 253 enterprise IT decision-makers responsible for storage technology decisions in order to quantify the business impact that Tier 1 storage had on organizations.
This Technology Spotlight examines the evolving primary flash array market with a particular emphasis on what next-generation flash-driven enterprise storage architectures will look like. It also looks at the role Pure Storage, with its FlashArray//x, plays in this
strategically important market.
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.
"Agile" software development is an increasingly popular development process for producing software in a flexible and iterative manner that can deliver value to the enterprise faster, reduce project risk and allow adaptation to changes more quickly.
This paper is for IT development executives looking to gain control of open source software as part of a multi-source development process. You can gain significant management control over open source software use in your development organization. Today, many IT executives, enterprise architects, and development managers in leading companies have gained management control over the externally-sourced software used by their application development groups. Download this free paper to discover how.
In this evaluation guide, we’ll take you through your journey to the digital future of ERP, with practical tips, advice, and an easy-to-follow checklist that can help you ensure that the choices you make are the right ones for your department, your processes, and your business.
IBM Compose Enterprise delivers a fully managed cloud data platform on the public cloud of your choice - including IBM SoftLayer or Amazon Web Services (AWS) - so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.