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Published By: OnBase by Hyland     Published Date: Jun 29, 2015
Unstructured content annoys clinicians and staff. They have to find it. They have to wait for it. They have to worry about whether it’s been lost or misplaced. Turn that source of annoyance into a point of efficiency with enterprise content management (ECM) technology. Learn how to find your unstructured content, capture it and make it work for you.
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user experience, enterprise content management, productivity, security, compliance
    
OnBase by Hyland
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: Cloudian     Published Date: Feb 15, 2018
As the volume of unstructured data created and used continues to increase rapidly, organizations are faced with challenges around data storage. In response, many new technologies — specifically objectbased storage, software-defined storage, all-flash arrays, and cloud-based storage services — are experiencing rapid adoption. Yet object-based storage has been limited by the need to rewrite existing file-based applications — a prospect that is costly and requires more manpower than is practical for many organizations. Cloudian offers both an object storage platform and more recently an enterprise file services product. When deployed together, Cloudian's products are designed to consolidate file and object data into a single repository and can enable organizations to manage environments that span the cloud as well as on-premises.
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Cloudian
Published By: Cloudian     Published Date: Feb 20, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate.
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Cloudian
Published By: Infosys     Published Date: Jun 12, 2018
Customers today are far more concerned about the contents and origin of a product than ever before. in such a scenario, granting them easy access to product information, via digital initiatives such as SmartLabel™, goes a long way in strengthening customer trust in a brand. But it also means expending several man-hours of effort processing unstructured data, with the possibility of human error. Intelligent automation can help save effort and time, with virtually error-free results. A consumer products conglomerate wanted a smart solution to implement SmartLabel™ compliance. See how Infosys helped and the five key takeaways from the project.
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automation, brand, information, digital, customer
    
Infosys
Published By: Clarabridge     Published Date: Dec 03, 2013
The purpose of this white paper is to provide organizations with a four step roadmap that details how organizations can use VoC to make Product Management more customer-centric and significantly increase the odds of consistently delivering products that are successful in the marketplace.
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clarabridge, customer behaviors, social media program, interacting with customers, product and service problems, respond quickly, customer satisfaction, customer loyalty, market share, marketplace, voice of the customer, operationalize voc, customer insights, integrate structured data, integrated unstructured data, business value, customer feedback, text analytics software, product management, voc in product management
    
Clarabridge
Published By: MuleSoft     Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture. Read this whitepaper to learn: -Data management challenges in financial services -Best practices to manage data in financial institutions -Integration strategies for optimal data management
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back office systems, operational effectiveness, unlocking data, business imperatives, modernizing legacy systems
    
MuleSoft
Published By: Acquia     Published Date: Sep 14, 2011
With Drupal, it is easy to produce engaging, content rich websites, incorporate both structured and unstructured data sources, and blend published information with user-generated content.
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acquia, technology, drupal, assmebled web, content rich websites, user-generated content, data sources
    
Acquia
Published By: Red Hat     Published Date: Dec 19, 2017
IT leaders are looking to deliver agile, scalable and cost-effective storage for ever-increasing amount of unstructured data. This research assesses the key attributes, vision and executional prowess of distributed file systems and object storage vendors.
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Red Hat
Published By: IBM Software     Published Date: Sep 13, 2011
Read this white paper to learn five practical steps your company can take to achieve customer intimacy: 1. Plan your goals, methodology and metrics; 2. Capture the right customer information, including structured and unstructured data; 3. Predict customer behaviors; 4. Act on these insights with relevant, timely offers to optimize the predicted outcome; and 4. Expand successes into other areas.
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ibm, business performance, customer intimacy, technology, conversion rate, business analytics
    
IBM Software
Published By: IBM     Published Date: Nov 29, 2012
This white paper presented by IDC Health Insights and IDC's Search and Discovery Technologies research practice and sponsored by IBM. Read more of this white paper to gain insight into the value of mining unstructured data in more.
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ibm, unstructured data, data mining, data organization, data refinement, healthcare
    
IBM
Published By: NetApp     Published Date: Dec 12, 2013
IT managers have indicated their two most significant challenges associated with managing unstructured data at multiple locations were keeping pace with data growth and improving data protection. Learn how the NetApp Distributed Content Repository provides advanced data protection and system recovery capabilities that can enable multiple data centers and remote offices to maintain access to data through hardware and software faults.
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netapp, lab validation, distibuted content repositor, big content scalability, enterprise reliability, intelligent object management
    
NetApp
Published By: Dell EMC     Published Date: Nov 03, 2015
This white paper details how the EMC Isilon OneFS architecture provides high availability and data protection needed to meet the challenges organizations face as they deal with the deluge of digital content and unstructured data and the growing importance of data protection.
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emc, data protection. isilon, nas, digital content
    
Dell EMC
Published By: Dell EMC     Published Date: Nov 03, 2015
View the infographic to see why head to head against the competition, Isilon wins every time.
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emc, data storage, unstructured data, isilon, nas
    
Dell EMC
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: CrowdStrike     Published Date: May 10, 2018
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the proverbial “needle in the haystack” – the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. In this context, detecting attacks is often difficult, and sometimes impossible. This white paper describes how CrowdStrike solved this challenge by building its own graph data model – the CrowdStrike Threat Graph? – to collect and analyze extremely large volumes of security-related data, and ultimately, to stop breaches. This revolutionary approach applies massive graph-based technologies, similar to the ones developed by Facebook and Google, to detect k
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CrowdStrike
Published By: Gartner     Published Date: Dec 21, 2011
Enterprise content management (ECM) represents both a strategy to deal with all types of unstructured content and a set of software products for managing the entire content life cycle. However, new content types and disruptive forces - such as the consumerization of IT - continue to multiply the number of repositories and applications that enterprises must deal with.
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gartnet, enterprise, content management, technology, ecm, information management
    
Gartner
Published By: RolePoint     Published Date: Apr 12, 2016
Over the last three years, social networks have experienced exponential growth. Employee networks have grown accordingly, offering access to structured career data through sites like LinkedIn in particular, and unstructured data through networks like Facebook. Employees are continually adding new contacts and growing personal networks. Job posting tools that share jobs into social networks are often described as social referral tools, though this is an inaccurate and misleading description. The more sophisticated of these tools create unique links for sharing that enable employers to identify which of their employees originated the share. This is useful for recognition and reward, whilst the practice of sharing jobs in the wider network is to be encouraged in order to reach job seekers who are browsing or using search engines to identify opportunities. Job seekers are increasingly connecting with their peers in organizations they want to work for. Encouraging employees to share jobs in
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rolepoint, social referral, facebook, linkedin, career data, personal network
    
RolePoint
Published By: Sponsored by HP and Intel®     Published Date: Feb 20, 2013
Between increased use of server virtualization, the dynamic proliferation of private cloud, the ever-growing unstructured data pool, and the advent of “big data,” organizational data is going to continue to grow. Learn more about what HP has in store
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dedupe 2.0, store(once), deduplication, strategy, data source
    
Sponsored by HP and Intel®
Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Apr 11, 2013
Between increased use of server virtualization, the dynamic proliferation of private cloud, the ever-growing unstructured data pool, and the advent of “big data,” organizational data is going to continue to grow. Learn more about what HP has in store
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dedupe 2.0, store(once), deduplication, strategy, data source
    
Sponsored by HP and Intel® Xeon® processors
Published By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
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ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology
    
IBM
Published By: SAP     Published Date: Jan 19, 2010
Your information can be one of your greatest assets - helping you stay on top of regulatory requirements, close to customers, and ahead of the competition. Organizations that pay attention to their data will be the ones to survive and thrive. So how do you obtain a complete view of your information when it is scattered across silos? Or integrate data from structured and unstructured data sources? Or help reduce the risk of inaccurate reporting? And how do you manage your information more effectively to help keep costs from spiraling out of control?
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sap, eim, enterprise information management, erp, crm, etl
    
SAP
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that want the following: ? Extreme security: Firms that put data privacy and regulatory concerns at the top of their requirements list will find that LinuxONE comes built in with best-in-class security features such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework. ? Uncompromised data-serving capabilities: LinuxONE is designed for structured and unstructured data consolidation and optimized for running modern relational and nonrelational databases. Firms can gain deep and timely insights from a "single source of truth." ? Unique balanced system architecture: The nondegrading performance and scaling capabilities of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it suitable for workloads such as databases and systems of reco
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Group M_IBM Q418
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