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Published By: ActivPlant     Published Date: Jun 22, 2008
For complex manufacturing environments, OEE (Overall Equipment Effectiveness) falls short when it comes to delivering improvements in productivity. That's because OEE tools were originally developed to measure the performance of stand-alone equipment or the total output of a particular line. Today's enterprises need more. This paper describes an evolution in thinking: focusing on product flow through the process.
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equipment, scm, manufacturing, productivity, output, line output, volume, product lifecycle management
    
ActivPlant
Published By: Adobe     Published Date: Oct 06, 2015
The sheer volume of data available to marketers can be daunting, especially without a data management platform (DMP). With a DMP, marketers can handle growing data challenges, create powerful customer insights and deliver marketing campaigns that increase revenue.
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adobe, digital advertising, social, brand, dmp, digital media platform
    
Adobe
Published By: Adobe     Published Date: Feb 08, 2016
The sheer volume of data available to marketers can be daunting, especially without a data management platform (DMP). With a DMP, marketers can handle growing data challenges, create powerful customer insights and deliver marketing campaigns that increase revenue.
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adobe, marketing, data, dmp, data management, customer insights, roi
    
Adobe
Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache
    
Altiscale
Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
Published By: AWS     Published Date: Nov 02, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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AWS
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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data, lake, amazon, web, services, aws
    
AWS
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: Commvault     Published Date: Jul 06, 2016
Think of a wildfire that quickly spreads as it increases in speed and power. That is what is happening today as data growth increases the volume and management complexity of storage, backup and recovery. Now think of trying to stop that fire with a garden hose. Your traditional backup and recovery process is equally under-equipped to manage and facilitate operations that need more speed, efficiency, scalability and reliability to handle today’s 24/7, always-on environment. Here we examine the benefits of moving from a solution comprised of multiple point products to a holistic data protection platform designed to serve today’s enterprise.
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commvault, data protection, storage, backup, recovery, holistic data protection, singe pane of glass, common code base
    
Commvault
Published By: CrownPeak     Published Date: Jun 30, 2009
The content management market has exploded in size in recent years with the availability of platforms like Open Source and SaaS giving way to scores of solutions in a variety of sizes and complexities. While companies are spoiled for choice, the unprecedented volume of solutions makes selecting the right content management system (CMS) for an organization an increasingly difficult task. Learn more today!
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cms, saas, software-as-a-service, crownpeak, content management system, open source, end-to-end process, collaboration
    
CrownPeak
Published By: Delphix     Published Date: May 28, 2015
"Security-conscious organizations face a gap between current requirements and capabilities as they relate to data masking. Data volumes are growing exponentially and the risk of data leaks continues to make news, yet many organizations rely on inefficient, legacy approaches to protecting sensitive data. In contrast, top performing companies are turning to virtual databases and service-based masking solutions to ensure that data management functions can keep up with software development.
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Delphix
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts. The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
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managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: Esker     Published Date: Jul 15, 2013
Whether the number is a minority or a majority of total sales order volume, fax often represents the bulk of a company’s order management expenses. Fax orders typically require a separate processing environment made up of fax machines or, preferably, fax server software to capture orders and distribute them among CSRs who enter the information into ERP applications.
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order processing, sales order processing, sales orders, order management order automation, edi, customer service, fax orders, email orders
    
Esker
Published By: Exablox     Published Date: Jan 27, 2015
When it comes to the increasingly complex task of managing data storage, many small and midsize organizations face even greater challenges than large, global enterprises. Small and midsize companies have ever-increasing volumes of information to manage and secure, and they are confronting a number of difficulties when it comes to storage. Among the biggest hurdles: ›› Scaling storage as the business grows rapidly ›› Meeting the rising expense of data storage capacity ›› Dealing with the complexity of management and architecture ›› Devoting precious staff time managing storage and data backup Whereas larger organizations have significant IT budgets and staff to handle storage-related challenges, small and midsize companies lack the IT resources to dedicate to storage management. Fortunately, there are new approaches to data storage on the market that can help such companies address their data storage needs without requiring dedicated storage management resources, while at the same ti
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scaling storage, data storage capacity, data backup, data protection, data management, exablox, oneblox
    
Exablox
Published By: Gemini Data     Published Date: Jan 16, 2018
The increasing reliance on big data platforms for all functions of the organization has been transformative. As these environments mature and data volumes increase, organizations face infrastructure and management scalability challenges. Gemini Enterprise Manager simplifies deployment and management with a turnkey, NoOps appliance, providing simplicity, security, and speed to accelerate the time to value for any analysis use case. Manager allows you to control your Splunk deployment as a single, unified solution deployed on premises, in the cloud or both.
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Gemini Data
Published By: Group M_IBM Q1'18     Published Date: Dec 21, 2017
Consider the volume of business content that your organization generates or receives every day: applications, forms, reports, office documents, audio, video, and even social media about your company. If it is poorly managed, not digitized, or disconnected from critical business processes, it creates chaos. This chaos impacts your ability to deliver exceptional customer service; it slows down important processes, increases security risk, and negatively impacts revenue. Conversely, controlling content chaos can significantly improve your analytics strategy by gaining insight and business value from dark or unstructured data sources. In this eBook, learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it as you grow.
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business content, volume, cloud-based, enterprise content management, ecm
    
Group M_IBM Q1'18
Published By: Group M_IBM Q2'19     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 Q2'19
Published 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
Published 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
Published By: HERE Technologies     Published Date: Dec 05, 2018
Car data consumption is critically important to auto manufacturers. As more vehicles are produced with built-in infotainment systems, the cost of supplying them with live information and real-time updates via a data connection grows ever greater. Auto manufacturers need to be able to enhance the driving experience with smart traffic, navigation, and entertainment services, while reducing costs and data volumes. HERE is the world’s leading provider of traffic data to the automotive industry. This eBook shows how HERE optimizes traffic solutions and it outlines how data use modelling, standardization, and good data management can help reduce usage.
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traffic data, auto, location data
    
HERE Technologies
Published By: HP     Published Date: Aug 03, 2009
The usual cure for exploding file volumes is to add more general purpose file servers. That strategy eventually leads to server sprawl, which brings with it more management complexity, stranded disk capacity, wildly differing storage utilization rates and slower file access. Network-attached storage (NAS) appliances can add file serving capacity that's more easily managed, shareable, more scalable and more efficient than a sprawl of general purpose servers. Read this online article to learn about three basic considerations that can help simplify your NAS buying decision.
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nas, network-attached storage, servers
    
HP
Published By: IBM     Published Date: Feb 25, 2008
Enterprise Strategy Group (ESG) Labs performed a hands-on analysis of IBM's System Storage SAN Volume Controller storage virtualization solution in order to validate its value proposition to customers. ESG Labs found that SAN Volume Controller is a rock-solid, feature-rich platform that delivers on the promise of network based storage virtualization: reducing the complexity and cost of managing SAN attached storage.
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hardware, ibm, san volume controller, roi, storage, storage management, storage virtualization, virtualization
    
IBM
Published By: IBM     Published Date: Sep 10, 2009
With ever-increasing data growth worldwide, organizations must find smarter ways to store and manage their massive volumes of data. Learn how IBM® Tivoli® Storage Management software solutions help to maximize your current storage environment and reduce operational and capital costs while improving service and managing risks.
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storage management, ibm, ibmtivoli, fastback, san, data growth, recovery management, reducing costs
    
IBM
Published By: IBM     Published Date: Jul 05, 2012
Esri, a U.S. software company, had growing data volumes as they added new applications. System response slowed down and their existing infrastructure had no room for extension. Read the white paper and see how with the IBM Migration Factory helped Esri consolidate 16 physical servers to two, automate storage management and drastically cut costs.
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ibm, technology, sap, sofrware, technology, migration factory, storage
    
IBM
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