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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: Jun 04, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
Tags : business analytics, analytics solutions
     IBM
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
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     IBM
By: IBM     Published Date: Jul 09, 2018
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions. In search of instant analytical insights, businesses often prioritize data access and analysis over governance and quality. However, without ensuring the data is trustworthy, complete and consistent, leaders cannot be confident their decisions are rooted in facts and reality
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     IBM
By: Group M_IBM Q418     Published Date: Oct 02, 2018
Across enterprises of all kinds, data is multiplying rapidly in both quantity and variety. Across multi-cloud environments, new sources are exponentially increasing the growing stream of information, including the Internet of Things, social media, mobile devices, virtual reality implementations and optical tracking.
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     Group M_IBM Q418
By: LogMeIn     Published Date: Feb 27, 2018
Most customer engagement solutions on the market require complex data analysis and months of implementation before you start seeing results. But Bold360 ai uses Natural Language Understanding to start learning your customers’ needs from the very first interaction. Its smart routing capability directs customers to the best resource available, and captures data in an intuitive dashboard. Start seeing results now with Bold360 ai.
Tags : bold360, engagement, customer, market, data, analysis
     LogMeIn
By: Menlo Security     Published Date: Jun 01, 2018
"Financial services institutions are high-value targets for cyberattacks because of the capital they control, the personal information on customers they maintain, and the fear an attack on a bank generates in the public. Phishing attacks on FSIs have risen steadily, especially employee credential theft - because once an employee’s credentials are stolen, cyberattackers can access customer information, employee data, even finances. While legacy security solutions claim to block up to 99.9 percent of cyberattacks, all it takes is one employee or contractor to open an email from an unknown source, download a file from a compromised website, or in any other way fall victim to a cyberattack. So, it’s time for a new approach: Isolation, also known as, remote browsing. Download this Financial Services Best Practices Guide to Isolation to learn how to best eliminate phishing attacks and web malware. "
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     Menlo Security
By: Group M_IBM Q119     Published Date: Jan 04, 2019
Digital transformation is poised to change the supply chain more profoundly than any other functional area and more dramatically than at any point in its history in terms of driving efficiency and resiliency to disruption. In the context of the challenges facing supply chains, both now and in the future, it becomes clear that the old ways of working will not suffice and that even best-in-class performance today is unlikely to be good enough in the future. It is the view of IDC that the supply chain must become a "thinking" supply chain, one that is intimately connected to all data sources, enabled with comprehensive and fast analytics, openly collaborative through cloud-based commerce networks, conscious of cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Mar 11, 2019
The life of an enterprise architect is becoming busy and difficult. Before the era of big data, the enterprise architect “only” had to worry about the data and systems within their own data center. However, over the past decade there were revolutionary changes to the way information is used by businesses and how data management platforms support the information available from modern data sources.
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     Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 04, 2019
If your bank is like many, it encrypts only a minimum of data. This is because many banks believe, incorrectly, that encrypting all data is unworkably cost- and resource-intensive on any platform. Encrypting piecemeal creates the need to carefully track where you are encrypting, what you are encrypting, and the time and resource costs of these activities.
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: May 28, 2019
Amid the rising costs of healthcare, employers and health plans are under increasing pressure to produce fast insights from their data to help drive business decisions, identify opportunities to reduce cost, improve care quality and generate reports for diverse stakeholders. But these professionals often lack the time, resources and analytic expertise necessary to integrate and interpret the massive amounts of disparate data available to them.
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     Group M_IBM Q2'19
By: Domino Data Lab     Published Date: May 23, 2019
This paper introduces the practice of Model Management, an organizational capability to develop and deliver models that create a competitive advantage. Today, the best-run companies run their business on models, and those that don’t face existential threat. The paper explains why companies that fail to run on models are falling for the Model Myth—the assumption that models can be managed like software or data. Models are different and need a new organizational capability: Model Management. What’s inside: Defining a model Why models matter for businesses Why companies fall for the Model Myth A framework for Model Management Practical steps to get started The paper is intended for anyone in a data science organization, or anyone who hopes to use data science as a key source of competitive advantage for their business.
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     Domino Data Lab
By: Blue Coat     Published Date: Nov 23, 2015
It’s time for Proactive Incident Response: *Full logs in the SIEM, plus complete collection of packet data *Packet data indexed, easily searchable and correlated with threat intelligence and other data. Working with multiple sources of security data, threats are detected early.
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     Blue Coat
By: Selligent Marketing Cloud     Published Date: Mar 07, 2018
Context can make or break the communication – and, ultimately, the relationship – between a consumer and a brand. Today’s consumers expect relevant communications that speak directly to their needs in the moment. We have the technology today to deliver such messages – but there are significant barriers to developing relevant, contextual programs of this kind. Some of the development challenges represent new versions of old challenges. Take data as an example: it has always been hard to harness data from different sources and to leverage insights in real time. But today, there are additional opportunities – if not expectations – for marketers to use contextual data to better reach and engage customers through the optimal channel(s).
Tags : data driven marketing, contextual marketing, cmo, omnichannel, multichannel, automation, loyalty, crm, marketing, personlisation, campaign management, customer marketing, retention marketing, marketing cloud, marketing solution, marketing platform, artificial intelligence, prediction learning, product recommendation
     Selligent Marketing Cloud
By: Akamai Technologies     Published Date: May 07, 2018
2017 was a momentous year in security, even though the DDoS landscape appeared to plateau. Maybe it was because Mirai hit so hard at the end of 2016 and the owners of other botnets were retooling to catch up. Maybe it was because news of large data breaches captured so many headlines, drawing the attention of both criminals and the public. Or maybe it is simply due to the cyclical nature of attack popularity that we have seen in the past. No matter the cause, our prediction is that the trend won’t continue in 2018, and it is not time to be complacent. The Mirai botnet is far from played out, as botnet creators are continuing to modify the source code for their individual needs and, with more connected platforms devices than ever, the Internet will continue to offer fertile ground for largescale attacks.
Tags : internet, security, cryptocurrency, data, breaches, botnet
     Akamai Technologies
By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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     MarkLogic
By: Diligent     Published Date: Jul 10, 2017
Data is everywhere - on moblie devices, in the cloud, in transit. The Accumulation of data and the rise of business using data to better hone their practices are rapidly evolving as data comes from various platforms and in different forms. Data growth, new technologies and evolving cyber threats create challenges for organizations looking to set the strategies, framework and policies for keeping all of that information secure.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Diligent
By: Oracle OMC     Published Date: Nov 30, 2017
Successful email marketing, demand generation, and lead management processes hinge on a modern strategy closely aligned to buyer needs and expectations across all phases of the buying process. Using a wide spectrum of digital channels, today’s buyers employ an extensive network of tools and resources to make the most informed purchase decisions. The Modern Marketing era is driven by the self-educated buyer who marketers must engage to achieve a relevant, targeted, and value-based customer experience. Marketers are increasingly enhancing their understanding of how data can fuel the delivery of meaningful interactions. This access to vast sources of information that marketers are applying to execute and achieve more refined marketing simply can’t be gleaned manually.
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     Oracle OMC
By: Informatica     Published Date: Nov 21, 2011
This demo showcases the ease-of-use to replicate data sets, the process of connecting to a data source, defining a mapping, initial synchronization, extraction and finally applying to a destination.
Tags : demo, data sets, data replication, replication, mapping, synchronication, reporting, loading, hardware, software, migrations, mpaping, extraction
     Informatica
By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
Tags : it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
     Red Hat, Inc.
By: SAS     Published Date: Sep 19, 2018
We are offering this second edition resource as a business oriented, working guide to core data management practices. In this ebook you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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     SAS
By: MicroStrategy     Published Date: Jan 23, 2019
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation. What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
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     MicroStrategy
By: MicroStrategy     Published Date: Apr 11, 2019
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation. What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
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     MicroStrategy
By: Dell Storage     Published Date: Apr 21, 2011
This white paper describes how Fluid Data storage reduces the capacity required to support VMware, maximizes system performance and efficiency, accelerates storage provisioning, simplifies resource management and streamlines disaster recovery.
Tags : dell compellent, vmware server virtualization, compellent san, virtualized storage platform, fluid data storage, system performance, resource management, disaster recovery
     Dell Storage
By: Dell Storage     Published Date: Nov 08, 2011
This white paper describes how Fluid Data storage reduces the capacity required to support VMware and maximizes system performance and efficiency.
Tags : dell compellent, vmware server virtualization, compellent san, virtualized storage platform, fluid data storage, system performance, resource management, disaster recovery
     Dell Storage
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