unstructured data

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By: Automation Anywhere APAC     Published Date: Aug 15, 2019
Bancolombia is an award winning, full-service financial institution that provides banking services to customers in 12 different countries and is one of the 10th largest financial groups in Latin-America.With bots from Automation Anywhere, Bancolombia sifts through structured, semi-structured, and unstructured customer data to transform their BPM. Bots automate hundreds of processes and greatly increasing back office efficiency, saving Bancolombia a significant amount of time servicing customers. This has led to an increase in CSAT numbers and has created additional revenue streams.
Tags : rpa, roi, digital workforce, customer story
     Automation Anywhere APAC
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.”
Tags : finance, function, strategic, growth, initiatives, automation, efficiency, core, finance, processes
     SAP EMEA Global
By: EMC Corporation     Published Date: Jul 07, 2013
While the concept of big data is nothing new, the tools and technology and now in place for companies of all types and sizes to take full advantage. Enterprises in industries such as media, entertainment, and research and development have long been dealing with data in large volumes and unstructured formats - data that changes in near real time. However, extracting meaning from this data has been prohibitive, often requiring custom-built, expensive technology. Now, thanks to advancements in storage and analytics, all organizations can leverage big data to gain the insight needed to make their businesses more agile, innovative, and competitive.
Tags : big data, emc, technology, storage, analytics, data management, security, platforms
     EMC Corporation
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
Tags : cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
     Splunk
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
Tags : cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
     Splunk
By: Group M_IBM Q2'19     Published Date: Mar 29, 2019
The vast increase in dark data—all of the unstructured data from the Internet, social media, voice and information from connected devices—is overwhelming many executives and leaving them completely unprepared for the challenges their businesses face.
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     Group M_IBM Q2'19
By: GFT USA, Inc.     Published Date: Jun 26, 2019
Stream is GFT’s architectural framework on GCP that enables real time processing and analysis of structured and unstructured data using AI and Machine Learning (ML) to extract intelligence from data.
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     GFT USA, Inc.
By: Veritas     Published Date: Oct 03, 2016
This benchmark report, the Data Genomics Index, encompasses a community of like-minded data scientists, industry experts, and thought leaders together with the purpose of better understanding the true nature of the unstructured data that we are creating, storing, and managing on a daily basis - a report on real storage environments’ composition.
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     Veritas
By: IBM     Published Date: Jul 08, 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, data management, data center
     IBM
By: IBM     Published Date: Jan 27, 2017
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
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     IBM
By: IBM     Published Date: Mar 29, 2017
Not just some data—all of it. Internal, external, structured, unstructured, historical, real-time. And what if you could do it without a huge infrastructure project? You can. Take a closer look at how three companies capitalized on more data—almost instantly—with IBM® BigInsights® on Cloud.
Tags : analyze, data, cloud, ibm, analytics
     IBM
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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     Group M_IBM Q2'19
By: HP     Published Date: Feb 02, 2015
Ever-increasing data volumes driven by the constant growth in both structured and unstructured data coupled with the ever decreasing costs of storage capacity on a per GB basis are continuing to put a strain on corporate backup abilities. While other backup and data optimization technologies offer some relief, deduplicating backup appliances have become the go to solution. They provide a quick, largely non-disruptive plug-and-play solution that alleviates backup pain, reduces storage consumption by up to 20x and have become a proven frontrunner in the ongoing battle to improve the backup experience.
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     HP
By: HP     Published Date: Feb 11, 2015
Ever-increasing data volumes driven by the constant growth in both structured and unstructured data coupled with the ever decreasing costs of storage capacity on a per GB basis are continuing to put a strain on corporate backup abilities. While other backup and data optimization technologies offer some relief, deduplicating backup appliances have become the go to solution. They provide a quick, largely non-disruptive plug-and-play solution that alleviates backup pain, reduces storage consumption by up to 20x and have become a proven frontrunner in the ongoing battle to improve the backup experience.
Tags : 
     HP
By: MarkLogic     Published Date: Mar 17, 2015
You’ve probably heard about NoSQL, and you may wonder what it is. NoSQL represents a fundamental change in the way people think about storing and accessing data, especially now that most of the information generated is unstructured or semi-structured data — something for which existing database systems such as Oracle, MySQL, SQLServer, and Postgres aren’t well suited. NoSQL means a release from the constraints imposed on database management systems by the relational database model. This free eBook, Enterprise NoSQL for Dummies, MarkLogic Special Edition, provides an overview of NoSQL. You’ll start to understand what it is, what it isn’t, when you should consider using a NoSQL database instead of a relational database management system and when you may want to use both. In addition, this book introduces enterprise NoSQL and shows how it differs from other NoSQL systems, as well as explains when NoSQL may not be the right solution for your data storage problem. You’ll also learn the NoSQ
Tags : enterprise, nosql, relational, databases, data storage, management system, application, scalable, enterprise applications, data management
     MarkLogic
By: MarkLogic     Published Date: Nov 08, 2016
In this report, learn to: 1. Do more with your structured and unstructured data 2. Combine disparate data sources without the limits of relational systems 3. Build applications faster within an agile data architecture Download now!
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     MarkLogic
By: MarkLogic     Published Date: Nov 15, 2016
In this report, learn to: 1. Do more with your structured and unstructured data 2. Combine disparate data sources without the limits of relational systems 3. Build applications faster within an agile data architecture Download now!
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     MarkLogic
By: IBM     Published Date: Oct 28, 2016
In this webinar, you will learn: - How to create a safe environment for honest feedback so it’s an invitation, not an imposition - Best practices for collecting feedback, from unstructured conversations to regular pulse surveys - What to do with the data you’ve collected, and how to use insights to create action plans that result in happier employees and better business performance
Tags : ibm, engagement social, employee engagement, kenexa, enterprise applications
     IBM
By: Veritas     Published Date: May 12, 2016
This inforgraphic highlights that a ‘store everything’ hoarding culture is forming ‘databergs’: where masses of unstructured, irrelevant, unseen or unclassified data is growing daily with no notion of slowing down. They conceal a threat ‘below the waterline’ that adds significant levels of risk and cost to organisations. And this risk is rising.
Tags : 
     Veritas
By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. By allowing multiple operating systems and applications to run on a single physical server, organizations can significantly lower their hardware costs and take advantage of efficiency and agility improvements as more and more tasks become automated. This also alleviates the pain of fragmented IT ecosystems and incompatible data silos. Protecting these virtualized environments, however, and the ever-growing amount of structured and unstructured data being created, still requires a complex, on-prem secondary storage model that imposes heavy administrative overhead and infrastructure costs. The increasing pressure on IT teams to maintain business continuity and information governance are changing how businesses view infrastructure resiliency and long-term data retention—they are consequently looking to new solutions to ensure immediate availability and complete protection of the
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     Druva
By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. Protecting these virtualized environments, however, as well as the ever-growing amount of structured and unstructured data being created, still requires a complex, on-prem secondary storage model that imposes heavy administrative overhead and infrastructure costs.
Tags : 
     Druva
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
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.
Tags : business content, volume, cloud-based, enterprise content management, ecm
     Group M_IBM Q1'18
By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
Tags : 
     IBM
By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
In the last few years we have seen a rapid evolution of data. The need to embrace the growing volume, velocity and variety of data from new technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) has been accelerated. The ability to explore, store, and manage your data and therefore drive new levels of analytics and decision-making can make the difference between being an industry leader and being left behind by the competition. The solution you choose must be able to: • Harness exponential data growth as well as semistructured and unstructured data • Aggregate disparate data across your organization, whether on-premises or in the cloud • Support the analytics needs of your data scientists, line of business owners and developers • Minimize difficulties in developing and deploying even the most advanced analytics workloads • Provide the flexibility and elasticity of a cloud option but be housed in your data center for optimal security and compliance
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     Group M_IBM Q3'19
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