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By: Tenable     Published Date: Feb 07, 2018
"This IDC Technology Spotlight examines the evolution of vulnerability management. By leveraging the cloud and new technologies that deliver greater visibility, organizations can gain an accurate picture of their assets and overall risk posture. This is a critical step toward addressing the current landscape where attackers are using a wide variety of vectors such as mobile, social, and cloud-based attacks to infiltrate organizations and steal data. By reading this report you will get an overview of: - Benefits of cloud-based security and vulnerability management - Challenges of adopting cloud-based vulnerability management - IDC assessment of Tenable.io cloud vulnerability management"
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     Tenable
By: Mimecast     Published Date: Nov 28, 2017
With the pending EU General Data Protection Regulation (GDPR), your organization must consider a wide variety of changes for compliance if you hold EU resident data. Your organization should look at GDPR as an opportunity to modernize storage, compliance and security needs. But what services should be considered? Download to learn more including: • How the right providers can help you build a business case for GDPR compliance • Ways providers can directly aid in the compliance process • Why the right tools can help with not just technology but process changes as well
Tags : software provider, cloud service provider, gdpr
     Mimecast
By: Marketo     Published Date: Feb 07, 2017
Read this complimentary copy of the Gartner Magic Quadrant for Digital Marketing Hubs, and find out why Marketo was named a leader based on completeness of vision and the ability to execute. As a digital marketing hub, Marketo allows marketers to think beyond email campaigns and address customers personally and consistently as individuals through a variety of contexts and formats. Digital marketing hubs, like Marketo, unify disparate marketing data and processes to drive acquisition, engagement, conversion and transaction across complex customer journeys. The full report includes: Market evaluation and analysis of 22 vendors Insights for selecting a vendor based on your organization's requirements Opportunities and challenges faced when deploying digital marketing hubs Download the report to learn about these topics and more.
Tags : digital marketing hub, email campaigns, customers, disparate marketing data, vendor selection, gartner
     Marketo
By: IBM     Published Date: Jul 07, 2014
The IBM Institute for Business Value conducted a global study to investigate how organizations were creating value from an ever-growing volume of data obtained from a variety of sources. This resulted from data-derived insights, which then guided actions taken at every level of the organization. The findings identified nine levers that enabled the organizations to create the most value.
Tags : ibm, midmarket, ibm global analytics study, analytics, business insights, profitability, big data, business analytics
     IBM
By: IBM     Published Date: Oct 13, 2017
Analytics is game-changing and can produce valuable insights from the ever-growing volume, velocity and variety of data. Business Intelligence (BI) provides the foundation for many types of Analytics. It enables companies to deliver exceptional customer experience, enhance marketing effectiveness, increase operational efficiencies, reduce financial risks, improve product quality and reliability, and so on. But businesses are also challenged to generate timecritical actionable insights and make a compelling financial business case for BI investments.
Tags : ibm, cognos analytics, business intelligence, customer experience, marketing
     IBM
By: Gigya     Published Date: Jun 08, 2015
As channels fragment and consumer identities multiply, businesses are struggling to achieve a single customer view. This guide provides actionable strategies to achieve this “holy grail” to better understand your audience, build relevant experiences and grow customer relationships. Get tactics and examples to help you: Identify your customers across channels and devices Manage today's volume and variety of customer data Integrate and apply data across marketing campaigns Build more personalized customer journeys
Tags : customer data management, single customer view, cross channel, marketing segmentation, sso, federation, registration as a service, social login
     Gigya
By: SAS     Published Date: Apr 04, 2018
Location analytics is the process of integrating geographical data into business intelligence (BI) and analytics-led decision making. Location analytics creates meaningful insight from relationships found in geospatial data to solve a broad variety of business and social problems. Location data is found everywhere – with an item or a device, in a conversation or behavior, in machines or sensors, tied to a customer or competitor, attached to a database record or recorded from vehicles or other moving objects. Organizations want to take advantage of location data to improve decisions, create better customer engagement and experiences, reduce risks and automate business processes.
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     SAS
By: ElcomSoft     Published Date: Dec 06, 2007
In order to protect important data, we use a large variety of methods and technologies, especially when the data in question is confidential and essential for day-to-day operations of a business and for making important management decisions. "If you have the information, you own the world" has become the basic tenet of our times, where control over data is of the utmost significance. The loss of access to important data can have a very negative impact on the company’s business.
Tags : password, password management, access control, server access, network management, windows, windows management, user access
     ElcomSoft
By: IBM     Published Date: Jan 02, 2014
This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
Tags : ibm, analytics, global business service, big data, business value, it professionals, volume, velocity
     IBM
By: TeamQuest     Published Date: Sep 05, 2014
TeamQuest Director of Market Development Dave Wagner and Chris Lynn, Safeway's Capacity Manager and Performance Analyst, cover the application of automatic, exception-oriented analytics to a wide variety of IT and business metrics in order to simultaneously optimize service performance and IT cost. Multiple conceptual approaches are shared, including pros and cons. Most of the presentation includes real examples by which Safeway has integrated performance, capacity, business, and power data into an automated optimization process spanning 1000s of servers and virtual servers and their applications.
Tags : automated analytics, automated optimization, it cost, power data
     TeamQuest
By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
Tags : enterprise, nosql, relational, databases, data storage, management system, application, scalable
     MarkLogic
By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Tags : big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
     Cisco EMEA
By: Hewlett Packard Enterprise     Published Date: Oct 24, 2017
Big Data is not just a big buzzword. Government agencies have been collecting large amounts of data for some time and analyzing the data collected to one degree or another. Big data is a term that describes high volume, variety and velocity of information that inundates an organization on a regular basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and better services.
Tags : cloud optimization, cloud efficiency, cloud management, cloud assurance, cloud visibility, enterprise management, data management
     Hewlett Packard Enterprise
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
     IBM
By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
Tags : cloud, database, hybrid cloud, database platform
     Group M_IBM Q1'18
By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. To accelerate innovation, improve the IT delivery economic model and reduce risk, organizations need to combine data and experience in a cognitive model that yields deeper and more meaningful insights for smarter decisionmaking. Whether the user needs a data set maintained in house for customer analytics or access to a cloud-based data store for assessing marketing program results — or any other business need — a high-performance, highly available, mixed-load database platform is required.
Tags : cloud, database, hybrid cloud, database platform
     Group M_IBM Q1'18
By: IBM     Published Date: Jan 27, 2017
For more and more organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. In fact, hybrid cloud is the new norm for IT. IDC says more than 80% of enterprise IT organizations will commit to hybrid cloud by 20171, and 70% of IT decision-makers say they will always have a mix of traditional IT and cloud architectures.2 With important applications and workloads architected across both on-premises and hybrid, public and private cloud environments, business and IT stakeholders must be able to access data with equal efficiency, reliability and speed—regardless of physical location, infrastructure type or time frame.
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     IBM
By: IBM     Published Date: Sep 28, 2017
For increasing numbers of organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements. This paper outlines what readers should consider when making a strategic commitment to a database platform that will act as a bridge from legacy environments to the cloud.
Tags : bridging the cloud, database, hybrid cloud, cloud organization, strategic commitment
     IBM
By: Citrix Systems     Published Date: Feb 14, 2019
"Security threats come in a variety of different forms — from network to web and app attacks. As these form factors continue to morph, they often evade traditional security measures, leaving organizations scrambling to protect their digital ecosystem. With a comprehensive end-to-end security solution, your organization can securely deliver the apps and data your teams need to be productive. Check out our e-book and discover: - Why a holistic security approach is crucial - What a new security approach looks like - How Citrix solutions provide security across your entire stack"
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     Citrix Systems
By: Citrix Systems     Published Date: Jun 04, 2019
Security threats come in a variety of different forms — from network to web and app attacks. As these form factors continue to morph, they often evade traditional security measures, leaving organizations scrambling to protect their digital ecosystem. With a comprehensive end-to-end security solution, your organization can securely deliver the apps and data your teams need to be productive. Check out our e-book and discover: Why a holistic security approach is crucial What a new security approach looks like How Citrix solutions provide security across your entire stack
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     Citrix Systems
By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Tags : data, lake, amazon, web, services, aws
     AWS
By: AWS     Published Date: Nov 02, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. Since data - structured and unstructured - can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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     AWS
By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
Tags : cost effective, data storage, data collection, security, compliance, platform, big data, it resources
     Amazon Web Services
By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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     Amazon Web Services
By: IBM     Published Date: Apr 29, 2014
With a wealth of information readily available online, consumers are now better able to compare products, services and prices—even as they shop in physical stores. When consumers interact with retailers publicly through social media, they have greater power to influence other customers or damage a brand. These and other changes in the retail industry are creating important opportunities for retailers. But to capitalize on those opportunities, retailers need ways to collect, manage and analyze a tremendous volume, variety and velocity of data.
Tags : ibm, retail, ecommerce, big data, retail technology, social media, data analytics, customer insights
     IBM
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