unstructured data

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By: IBM     Published Date: Mar 18, 2015
Read this ebook from Aberdeen to learn why leading organizations are moving away from the chaos of multiple methods to a single managed file transfer platform, and get best practices for developing a secure, best-in-class file transfer process of your own.
Tags : file transfer platform, file transfer process, ibm, unstructured data, file delivery
     IBM
By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : ibm, idc, big data, data, analytics, information governance, enterprise applications, data management, data center
     IBM
By: Cisco     Published Date: Jul 11, 2016
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment: - They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners. - They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing. - They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions. The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
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     Cisco
By: IBM     Published Date: Apr 03, 2017
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins. Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses. Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
Tags : predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources
     IBM
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
By: Basho     Published Date: Apr 07, 2015
Did you know that the total amount of data will reach 44 zettabytes by 2020 and that 80% of that data will be unstructured data? Are you ready for all of this unstructured data? More importantly, do you know how to turn it into a competitive advantage? Learn about the challenges that come with unstructured data and how to deal with those challenges in our latest publication “Meeting the Challenges of Unstructured Data” In this Whitepaper you’ll learn: What is driving the growth in unstructured data The challenges associated with managing unstructured data How companies are capitalizing on the opportunities that unstructured data presents to save money, time, and create new market opportunities
Tags : basho, unstructured data, competitive advantage, new market opportunities, managing unstructured data, it management, data management
     Basho
By: Basho     Published Date: Apr 07, 2015
bet365 is one of the world’s leading online gambling groups with over 14 million customers in two hundred countries. Recently, bet365 chose Riak, the NoSQL distributed database to ensure scalability and reliability for their site. Get a better understanding of how to choose the right database solution directly from Dan Macklin, Head of Research and Development at bet365. Join us for this On Demand webinar to learn about: • bet365's evaluation process • The business and technical challenges addressed • Triumphs achieved by migrating to Riak • Lessons learned and Dan Macklin's advice for anyyone evaluating their database requirements Download to watch this On-Demand webinar to learn why Riak chose bet365.
Tags : basho, riak, database infrastructure, bet365, unstructured data, it management, data management
     Basho
By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : big data, analytics, unstructured content, enterprise information, ibm, security, it management, storage, data management
     IBM
By: IBM     Published Date: Apr 29, 2015
In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative.
Tags : data warehouse, big data, unstructured data, implementations
     IBM
By: Bronto     Published Date: Feb 01, 2018
What you'll learn: • Why batch-and-blast email is losing its effectiveness and the email techniques to replace it. • How techniques like user-generated content and the mining of unstructured data can boost email effectiveness. • What artificial intelligence is offering today – and what it could offer years from now. • How omnichannel merchants can leverage physical locations as part of their online strategy.
Tags : email, omnichannel, retail, ecommerce
     Bronto
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
By: MapR Technologies     Published Date: Dec 12, 2013
Evaluator Group looks at what will make Hadoop an enterprise data center-grade analytics platform.
Tags : big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
     MapR Technologies
By: MapR Technologies     Published Date: Dec 12, 2013
When used effectively, Hadoop can deliver unparalleled value in revealing new analytics-driven revenue streams, improving customer acquisition and retention, as well as increasing operational efficiencies. The Hadoop Buyer's Guide is an invaluable resource for those investigating or evaluating Hadoop---from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success. Download the guide, and get everything you need to know about choosing the right Hadoop distribution for your business success.
Tags : big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
     MapR Technologies
By: MapR Technologies     Published Date: Dec 12, 2013
This independent whitepaper from the Kusnetzky Group Analyst describes the promise and challenges surrounding Big Data. It also validates the M7 solution from MapR, which simplifies big data management by consolidating disparate solutions into a single, enterprise-ready platform.
Tags : big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
     MapR Technologies
By: MapR Technologies     Published Date: Jan 08, 2014
Forrester Research shares seven architectural qualities for evaluating Big Data production platforms. In this webinar guest speaker Mike Gualtieri, Principal Analyst at Forrester, along with experts from MapR and Cisco, will present the following: • The 7 architectural qualities for productionizing Hadoop successfully • Architectural best practices for Big Data applications • The benefits of planning for scale • How Cisco IT is using best practices for their Big Data applications Speakers • Mike Gualtieri, Principal Analyst at Forrester Research • Jack Norris, Chief Marketing Officer at MapR Technologies • Andrew Blaisdell, Product Marketing Manager at Cisco • Sudharshan Seerapu, IT Engineer at Cisco
Tags : big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
     MapR Technologies
By: MapR Technologies     Published Date: Jan 03, 2014
As the demand for Big Data analytics mushrooms, IT decision-makers must prepare for the widespread deployment of Hadoop. This Technical Insight Paper from the Evaluator Group outlines the key requirements that must be met to make Hadoop enterprise data center ready.
Tags : big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
     MapR Technologies
By: HP     Published Date: Aug 26, 2014
Make sense of modern storage technologies and architectures and how they might impact your business. HP helps you understand unstructured data, block and object storage, storage system architectures, and storage networking options. Discover how the right mix or technologies such as virtualization, file sharing, and deduplication can help control storage costs, protect your data from loss or corruption, and provide reliable access to critical business information for every authorized user. See how.
Tags : data, business, technology, portfolio, cloud-based, support, portal, solution, consolidate, islands, access, reliable, retention, protection, storage, data management
     HP
By: IBM     Published Date: Feb 10, 2014
Predictive maintenance taps into the sets of structured and unstructured data that organizations already have available.
Tags : ibm, business analytics, operational analytics, predictive maintenance, predictive analytics, data analysis, efficiency, roi, infrastructure mangamenet
     IBM
By: Informatica     Published Date: Apr 16, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
Tags : b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management, crm tools, crm tool, data governance, data quality
     Informatica
By: IBM     Published Date: Dec 30, 2008
Research giant Forrester estimates that on average, data repositories for large applications grow by fifty percent annually. However, up to half of all that data can be duplicate or otherwise unnecessary. With no end in sight for the increase of raw data (both structured and unstructured), organizations must be ever more strategic about where and how to store enterprise information. Meanwhile, a tightening economy is putting pressure on costs, just as compliance mandates call for greater visibility into processes and data. What to do? Register for this Web Seminar to learn the four pillars of strategic storage, and how they can be used to simultaneously reduce costs, while improving speed, accuracy and accountability. The four pillars will be discussed in detail, with real-world examples of each: deep compression, database archiving,de-duplication thin provisioning.
Tags : strategic storage, ibm, enterprise information, deep compression, database archiving, de-duplication, thin provisioning, storage, data management
     IBM
By: x1     Published Date: Aug 21, 2009
This paper describes a new user-centric approach to managing structured and unstructured organizational documents and data. Focusing on end-user features offers significant benefits to corporations, their employees, and their IT managers.
Tags : document management, data management, user-centric, desktop search, search and retreival
     x1
By: Informatica     Published Date: Sep 28, 2007
David Loshin, consultant and author talked to Karen Hsu about Informatica's data quality, unstructured data and data governance solutions. Karen highlighted customers like Navteq and Humberside Police's innovative use of Informatica.
Tags : b-eye, business intelligence, data integration, karen hsu, interview, informatica, crm, customer relationship management, crm tools, crm tool, data governance, data quality, data management
     Informatica
By: TeraCloud     Published Date: Dec 11, 2007
Storage spawns where it is needed. This leaves IT to manage many islands of storage devices scattered across the enterprise. Compliance requirements, multimedia-rich applications, unstructured content and a proliferation of databases are pushing IT departments to increase the size and complexity of their storage networks. All of this is occurring at a time when the need for centralized storage management has never been greater.
Tags : storage, storage management, infrastructure, compliance, tsa, teracloud, teracloud storage analytics, san, storage area networks
     TeraCloud
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.
Tags : best practices, data visualization, data, technology
     SAS
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