unstructured

Results 101 - 125 of 156Sort Results By: Published Date | Title | Company Name
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.
Tags : 
splunk, data, analyzying, decision making, ime-series data, log management, log management software, manage logs, analyze logs, log analyzer, security log analysis, log management intelligence, log management compliance, compliance, log management operations, operations, operational intelligence, data management, best practices, business activity monitoring
    
Splunk
Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
Tags : 
visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
Published By: Oracle Social Cloud     Published Date: Jan 14, 2015
Social media allows consumers to be empowered in a brand new way, forcing organizations to change the way they traditionally do business. With unprecedented access to unstructured and structured data, companies have more information about the customer’s entire lifecycle than ever before.
Tags : 
customer experience, chief digital officer, digital, social marketing, social intelligence, cmo, oracle, research, cio, marketing and it collaboration, crm, social business, socially enabled enterprise, cpg, travel, healthcare, financial services, marketing cloud
    
Oracle Social Cloud
Published By: Exablox     Published Date: Jan 27, 2015
As your organization grows, you need the ability to quickly and non-disruptively scale storage capacity to meet the increasing amounts of high-density graphic images, streaming media and other unstructured data. However, when using traditional storage methods, it can be complicated and expensive for you to scale capacity to meet your needs. In this second of a series of informative e-books from Exablox, we take a look at the di?iculties of traditional storage approaches, and o?er simple, practical ways to make your data storage easier to scale.
Tags : 
enterprise storage, unstructured data, data mangement, data recovery, data availability, storage performance, exablox, oneblox, data management
    
Exablox
Published By: IBM     Published Date: Aug 05, 2014
Watson Explorer provides organizations with a combined, trusted 360-degree view of both structured and unstructured data. The solution indexes information from unstructured data sources (PDFs, Microsoft SharePoint, flat files, social media, blogs and so on) as well as structured sources for search and discovery. Organizations can leverage their data in place, respecting existing security models when creating this virtual access point to all information. Watson Explorer requires trusted master data to ensure that links are accurate and reliable, so the end user can confidently leverage a holistic view of a customer or product.
Tags : 
ibm, data, customer, watson explorer, master data, structured, it management, data management
    
IBM
Published By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
Tags : 
ibm, data, big data, information, healthcare, governance, technology, it management, data management
    
IBM
Published By: IBM     Published Date: Oct 22, 2014
Great service is delivered one customer at a time and improving interactions across all channels means truly understanding customer wants and needs. Massive amounts of unstructured data exist in your organization and can deliver customer insight that is specific, relevant and actionable. Learn how to harness that data to provide great customer service.
Tags : 
customer service, service quality, customer satisfaction, content management, it management, data management, business intelligence, business management
    
IBM
Published By: IBM     Published Date: Feb 24, 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, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
    
IBM
Published 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, personal finance, finance
    
IBM
Published 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, knowledge management, enterprise applications, data management, data center
    
IBM
Published 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!
Tags : 
    
Cisco
Published 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
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.
Tags : 
    
SAS
Published By: General Atomics     Published Date: Jan 13, 2015
The term “Big Data” has become virtually synonymous with “schema on read” unstructured data analysis and handling techniques like Hadoop. These “schema on read” techniques have been most famously exploited on relatively ephemeral human-readable data like retail trends, twitter sentiment, social network mining, log files, etc.
Tags : 
general atomics, big data, metadata, nirvana, hadoop, storage area networks, storage virtualization, server virtualization, data warehousing, data deduplication, data center design and management, colocation and web hosting
    
General Atomics
Published 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
Published 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
Published By: Nexsan by Imation     Published Date: Mar 02, 2015
“Do more with less” seems to be the dogmatic decree that confronts today’s IT professionals as they struggle to reconcile constrained budgets with apparently limitless growth in unstructured and structured data. With costly primary storage rapidly filling up (and slowing down), the need to migrate less active data onto a more cost-effective storage tier is clear.
Tags : 
imation, storage, data protection, archiving, email storage, backup and recovery, return on investment, email archiving
    
Nexsan by Imation
Published 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, knowledge management, storage, data management
    
IBM
Published 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, business intelligence, database development, quality assurance, productivity, data warehousing
    
IBM
Published 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
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.
Tags : 
sas, text analysis visualization, voice of the customer, unstructured text inputs, cloud computing
    
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.  
Tags : 
    
SAS
Published 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
Published 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
Start   Previous    1 2 3 4 5 6 7    Next    End
Search Resource Library      

Add Resources

Get your company's resources in the hands of targeted business professionals.