NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate.
In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario.
In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
IBM Analytics for Apache Spark for Bluemix is an open-source cluster computing framework with in-memory processing to speed analytic applications up to 100 times faster compared to other technologies on the market today. Optimized for extremely fast and large scale data processing-you can easily perform big data analysis from one application.
Only a handful of industries have been transformed by the digital age the way banking has. Internet and mobile banking, digital wallets, and a raft of new and innovative products have redefined “the bank” from a local, brick-and-mortar branch to an anytime-anywhere process. The new banking environment has opened opportunities for national, regional, and community banks alike, which are no longer constrained to serve only customers located in the areas where they maintain a physical branch presence. But it has also brought challenges associated with collecting, processing, analyzing, storing, and protecting vast amounts of new data, from multiple locations and sources.
In this report, Forrester reveals how order management systems (OMS) solve the omni-channel deficiencies of traditional systems, allowing retailers to orchestrate complex order processing scenarios - from the point of capture, through the supply chain, and to the point of fulfillment. Read the report today.
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust.
Watch this webinar to learn:
• How you can more effectively communicate with data.
• What constitutes an intuitive and highly navigable report
• How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time.
• Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
The General Data Protection Regulation (GDPR) framework seeks to create a
harmonized data protection framework across the European Union, and aims
to give back EU citizens control of their personal data by imposing stricter
requirements for those hosting and processing this data, anywhere in the
IBM is committed to putting data responsibility first and providing solutions
that are secure to the core for all customers. As such, IBM Cloud has fully
adopted the EU Data Protection Code of Conduct for Cloud Service providers
– meaning we agree to meet the entirety of its stringent requirements.
Published By: CyrusOne
Published Date: Jul 05, 2016
Many companies, especially those in the Oil and Gas Industry, need high-density deployments of high performance compute (HPC) environments to manage and analyze the extreme levels of computing involved with seismic processing. CyrusOne’s Houston West campus has the largest known concentration of HPC and high-density data center space in the colocation market today. The data center buildings at this campus are collectively known as the largest data center campus for seismic exploration computing in the oil and gas industry. By continuing to apply its Massively Modular design and build approach and high-density compute expertise, CyrusOne serves the growing number of oil and gas customers, as well as other customers, who are demanding best-in-class, mission-critical, HPC infrastructure. The company’s proven flexibility and scale of its HPC offering enables customers to deploy the ultra-high density compute infrastructure they need to be competitive in their respective business sectors.
Recognizing the shift to a subscription business model required real-time customer support, Autodesk turned to IBM technology to enhance its customer experience.
Using Watson Assistant, Autodesk developed a virtual agent to interact with customers, applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context and meaning behind inquiries. Quickly resolving easy customer concerns, Watson Assistant is supporting 100,000 conversations per month, with response times 99% faster than before and leading to a 10-point increase in customer satisfaction levels for Autodesk.
Find out how Watson Assistant can accelerate your customer support experience.
Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
Moving Beyond Traditional Decision Support
Future-proofing a business has never been more challenging. Customer preferences turn on a dime, and their expectations for service and support continue to rise. At the same time, the data lifeblood that flows through a typical organization is more vast, diverse, and complex than ever before. More companies today are looking to expand beyond traditional means of decision support, and are exploring how AI can help them find and manage the “unknown unknowns” in our fast-paced business environment.
This paper will explore the potential of applying business performance management (BPM) principles to advance document performance management (DPM) in a way that enables organizations to reduce costs; better manage documents as vital strategic, ?nancial and information assets; and secure positive returns on investments from outsourcing. An example of this approach — spotlighted later in this paper — is MAX, a document performance management system that enables companies to more effectively manage their document processes and outsourcing service providers.
Today’s supply chain is, of course, the primary processing mechanism of every manufacturing company. But it’s more than that: Its multifaceted, multicompany, multinational structure makes it the most complex management challenge found in any enterprise. Supply chain management no longer means just making sure that the right resources and the right materials move to the right place at the right time.
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many
of them are turning to in-memory data grids (IMDGs).
Financial services firms can achieve a higher level of operational responsiveness with the seamlessly integrated and customizable responsive process management (RPM) solution from Progress Software. Monitor, control and improve your business in real time with this suite of tools designed to help financial services firms deliver a higher level of business performance while sensing and responding in real time to changing conditions and business events. Easily integrated into your exiting IT environment, the Progress RPM solution allows financial services firms to gain real competitive advantage. Download the white paper now!
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS
Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
Server virtualization falls within the domain of IT operations but it can very much be a business matter with a measurable impact on the bottom line. Esoteric as it may seem from a business perspective, the server platform, powered by the processor.
Published By: Workday
Published Date: Oct 11, 2018
Before Workday, Panera Bread’s payroll processes were manual, inefficient, and error-prone,
and payroll nightmares and compliance risks were a regular occurrence. Complex systems and costly
integrations made it impossible for the company to keep up with its rapid growth or gain valuable
insights into global labor expenses. See the infographic to learn why unifying HR, payroll, time tracking,
and absence management in a single system allows Panera to use one consistent, flexible, and scalable
system across the U.S. and Canada.
Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. Whether planning for a major upgrade of existing databases or considering a net new project, enterprise solution architects should realize that the storage capabilities will matter. NetApp’s systems, software, and services offer a number of advantages as a foundation for better operational results.
Retail is changing. Now, competitors across the globe can lure your customers as easily as those across town. Location isn’t everything anymore.
Thankfully, smaller retailers are more nimble than bigger ones—you just need the right tools to compete and thrive. Epicor Eagle software is built for retailers who want to:
• Improve customer service at the point of sale
• Offer simple payment processing
• Identify and reward loyal shoppers
• Gain anywhere, anytime access to their retail software
Explore our virtual tour to see how retailers can compete and grow with help from Epicor.
You arrive at the office and watch helplessly as your AP processing team tries to avoid an avalanche of paper invoices while simultaneously juggling non-stop vendor service calls.
The phones are ringing off the hook and the sound and sight of inefficiency is maddening—no one is happy. You try to move, but can’t. Thankfully you wake up and realize it was just a dream.
Wiping the drool from your cheek, you resolve to update your own AP process before it’s too late. This scenario is a familiar recurring nightmare shared by many Accounts Payable Managers, Controllers and CFOs—and for good reason. Without scalable AP and invoice processing, your business cannot flourish or reach maximum potential. In this eBook, we’ll show you how integrating your AP processing with your accounting software will help you save time and money, allowing you and your team to focus on your customers and your business.
Using LEAN Six Sigma techniques, Central Sterile Processing and Materials Management leaders at Peninsula Regional Medical Center (PRMC) identified specialty bed management as an area ripe for improvement. They were spending too much time looking for these assets and renting too many specialty beds. Initially, the team focused on streamlining its order form process. They soon realized they were getting better—but at the wrong thing. They still weren’t achieving the desired results.
Read this case study to learn how Peninsula Regional Medical Center implemented STANLEY Healthcare’s AeroScout® Real Time Locating System (RTLS) and uses real-time location to improve specialty bed management, dramatically reducing rental costs.