unstructured

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Published By: Pure Storage     Published Date: Dec 05, 2018
With the growth of unstructured data and the challenges of modern workloads such as Apache Spark™, IT teams have seen a clear need during the past few years for a new type of all-flash storage solution, one that has been designed specifically for users requiring high levels of performance in file- and object-based environments. With FlashBlade™, it addresses performance challenges in Spark environments by delivering the consistent performance of all-flash storage with no caching or tiering, as well as fast metadata operations and instant metadata queries.
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Pure Storage
Published By: Quest Software     Published Date: Oct 25, 2012
Reduce the security risk and compliance concerns of unstructured data: emails, documents and spreadsheets. Unlike native tools, ChangeAuditor offers comprehensive, easy-to-use auditing, and more, to ensure security and regulatory compliance.
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security, data security, file share security, sharepoint, file servers, netapp, data management, data center
    
Quest Software
Published By: Red Hat     Published Date: Jun 09, 2014
Read this whitepaper to learn how administrators are leveraging their existing skills to simplify the management of storage and servers.
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red hat, server administrators, system administrators, big data, reduce complexity, unstructured data, new technologies, applications
    
Red Hat
Published By: Red Hat     Published Date: Jun 10, 2014
Read this whitepaper to learn how administrators are leveraging their existing skills to simplify the management of storage and servers.
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red hat, server administrators, system administrators, big data, reduce complexity, unstructured data, new technologies, applications
    
Red Hat
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: Redstor UK     Published Date: May 02, 2018
Many organisations are facing challenges relating to the unstructured data they hold. By its very nature, unstructured data is in a form that is difficult to manage, and it is growing rapidly in size. This can make it difficult to understand who owns that data, whether it is being used or even whether it is of any value. Industry forecasts indicate the volume of data generated by corporates is expected to double over the next three years and, with General Data Protection Regulation taking effect in May 2018, organisations need a more efficient way to manage and control this data. This White Paper provides an overview of the important technical considerations senior business and IT management teams need to review before choosing an archiving provider.
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Redstor UK
Published By: Reputation.com     Published Date: Oct 02, 2017
1.Meet the new consumer The migration to mobile and social media will challenge — and change — everything we know about consumer marketing. 2. Who owns your brand? Brand equity can no longer be bought. Online reviews now generate total market transparency for location-based businesses. Reviews tilt the balance of branding power away from companies and into the hands of customers. 3. The battle for brick-and-mortar customers is won or lost on the social web. To win, marketers must actively enlist customers as online advocates. Those who scale online review volume and quality will be rewarded with higher search visibility and more business at street level. 4. “Dark data” provides priceless operational insights Vast amounts of unstructured, unmined sentiment data on social media provides feedback about the customer experience that you can filter using thematic analysis and use to improve operations at the national or location level. 5. Business implications Online reputation stands betwee
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Reputation.com
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, data management
    
RolePoint
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, customer relationship management, enterprise resource planning
    
SAP
Published By: SAP     Published Date: Feb 03, 2017
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
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SAP
Published By: SAP EMEA Global     Published Date: Nov 22, 2017
As more and more data pours into the office of the CFO, experts say, minimizing its complexity and maximizing its usefulness becomes critical. “The amount of data is phenomenal,” says Mr. Whitehead of Airbus Defence and Space, “but what’s worse is the lack of harmonization. Unstructured data is what kills you. The key for me is how to have clear data in a usable and consistent form, which can be turned into succinct information the business can look at, understand where the value chain is, and make decisions.”
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finance, function, strategic, growth, initiatives, automation, efficiency, core
    
SAP EMEA Global
Published By: SAS     Published Date: Sep 30, 2014
Stop to think about how – and how often – your business interacts with customers. Every day, with each interaction, data is created. What percentage of the data generated by these interactions are you using? There are so many channels for interaction, like social media, call centers, sales staff, help and support resources, marketing and campaigns. Typically, organizations believe that they are using only a small fraction of it effectively – at best, upwards of 10 percent of all the available data. Why? One reason relates to the difficulties in collecting all this data. This limitation is beginning to wane as commodity hardware becomes increasingly popular for big data storage. But another major inhibitor to examining all customer data has been the inability to examine millions, or even billions, of data points that constitute the customer picture. And much of this is now in the form of unstructured text inputs.
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sas, text analysis visualization, voice of the customer, unstructured text inputs, cloud computing
    
SAS
Published By: SAS     Published Date: Apr 20, 2015
This paper explores how organizations are leveraging unstructured data—and what they must avoid.
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SAS
Published By: SAS     Published Date: Aug 03, 2016
Data visualization is the visual and interactive exploration and graphic representation of data of any size, type (structured and unstructured) or origin. Visualizations help people see things that were not obvious to them before. Even when data volumes are very large, patterns can be spotted quickly and easily. Visualizations convey information in a universal manner and make it simple to share ideas with others.
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best practices, data visualization, data, technology, business analytics, business intelligence, business management
    
SAS
Published By: SAS     Published Date: Jun 05, 2017
Find out what text analytics can do for an organization and the top three things people need to know when adopting text analytics. This research brief from the International Institute for Analytics and SAS outlines the challenges of implementing text analytics solutions and explores what makes this technology unique and exciting.  
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SAS
Published By: SAS     Published Date: Mar 06, 2018
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent and interactive manner. Without requiring the end user to write, understand or interpret code. “Sensitive” artificial intelligence enables: • More productive use of expanded (big, often unstructured) information sources • Intuitive man-machine interactions (no code-speak here!) • Adaptive, immersive experiences and environments As frequently touted on the nightly news, AI’s popularity is clear. Ho
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SAS
Published By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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SAS
Published By: ServiceNow     Published Date: Jul 09, 2015
Custom applications deliver significant value and they provide the opportunity to automate unstructured work processes to make the business far more innovative, efficient and competitive.
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ServiceNow
Published By: Splunk     Published Date: Apr 16, 2012
Discover a unique approach to handling large, semi-structured or unstructured time-series data. Splunk can be deployed in a matter of days to provide rapid cross-correlation between different data types-giving you unprecedented operational visibility.
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splunk, data, analyzying, decision making, ime-series data, log management, log management software, manage logs
    
Splunk
Published By: Splunk     Published Date: Aug 17, 2018
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download “The Essential Guide to Infrastructure Machine Data” for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published By: Splunk     Published Date: Sep 10, 2018
The financial services industry has unique challenges that often prevent it from achieving its strategic goals. The keys to solving these issues are hidden in machine data—the largest category of big data—which is both untapped and full of potential. Download this white paper to learn: *How organizations can answer critical questions that have been impeding business success *How the financial services industry can make great strides in security, compliance and IT *Common machine data sources in financial services firms
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
Published By: Splunk     Published Date: Sep 10, 2018
One of the biggest challenges IT ops teams face is the lack of visibility across its infrastructure — physical, virtual and in the cloud. Making things even more complex, any infrastructure monitoring solution needs to not only meet the IT team’s needs, but also the needs of other stakeholders including line of business (LOB) owners and application developers. For companies already using a monitoring platform like Splunk, monitoring blindspots arise from the need to prioritize across multiple departments. This report outlines a four-step approach for an effective IT operations monitoring (ITOM) strategy. Download this report to learn: How to reduce monitoring blind spots when creating an ITOM strategy How to address ITOM requirements across IT and non-IT groups Distinct layers across ITOM Potential functionality gaps with domain-specific products
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cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures
    
Splunk
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, it management, data management, data center
    
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: SPSS     Published Date: Jun 30, 2009
Learn the benefits and advantages of using text analysis to gain the most value from your surveys.
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spss, text analysis, coding survey text, categorization, pre-built categories, spss text analysis, open ended questions, project wizard
    
SPSS
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