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By: IBM     Published Date: Jan 09, 2017
Security managers should evaluate MSSPs for enterprise scale operations, multinational and local presence, and effective threat management and compliance capabilities. Use this Magic Quadrant to evaluate MSSPs to support global service requirements, regional presence and leading-edge services.
Tags : ibm, security, maturity, gartner, magic quadrant, managed security services
     IBM
By: IBM     Published Date: Jan 09, 2017
Cybersecurity issues are no longer limited to the IT department; instead, they threaten every aspect of the organization and pose a significant threat to ongoing business continuity and reputation.
Tags : ibm, security, maturity, c suite, cybersecurity
     IBM
By: IBM     Published Date: Jan 09, 2017
Ponemon Institute is pleased to present the results of Uncovering the Risks of SAP Cyber Breaches sponsored by Onapsis. The purpose of this study is to understand the threat of an SAP cyber breach and how companies are managing the risk of information theft, modification of data and disruption of business processes.
Tags : ibm, security, ponemon institute, technology, fraud, sap, cyber breaches
     IBM
By: IBM     Published Date: Jan 09, 2017
This report from IBM Emergency Response Services discusses four key trends in cybersecurity based on field experience in responding to client security incidents.
Tags : ibm, security, services operations, ibm emergency response services, cybersecurity, cyber crime
     IBM
By: IBM     Published Date: Jan 09, 2017
Reviewing a year of serious data breaches, major attacks and new vulnerabilities. The IBM X-Force 2016 Cyber Security Intelligence Index offers a high-level overview of the major threats to businesses worldwide in 2015.
Tags : ibm, security, ibm x-force, cyber security intelligence index., cyber security, intelligence
     IBM
By: IBM     Published Date: Jan 09, 2017
In today’s complex and distributed IT environments, identity and access management (IAM) programs do much more than simply manage user identities and grant access. This paper provides four key steps that can move you toward a more mature solution now.
Tags : ibm, security, services operations, iam programs
     IBM
By: IBM     Published Date: Jan 18, 2017
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences. Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes. In this white paper, you’ll gain a better understanding of: The difference between predictive and prescriptive analytics How predictive and prescriptive actions complement one another to help you achieve optimized business decisions IBM’s approach to creating a powerful end-to-end decision management system
Tags : ibm, predictive analytics, decision optimization, synergy, decision making, business goals, prescriptive analytics, decision management
     IBM
By: IBM     Published Date: Jan 18, 2017
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can. This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to: Establish timely and accurate insights into customer behavior. Empower employees to do their jobs more effectively. Encourage more repeat business and higher wallet share
Tags : predictive analytics, customer experience, customer relationships, customer retention, customer behavior, residual business
     IBM
By: IBM     Published Date: Jan 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
Tags : predictive analytics, increase sales, customer retention, fraud management, consumer expectations
     IBM
By: IBM     Published Date: Jan 27, 2017
Companies today increasingly look for ways to house multiple disparate forms forms of data under the same roof, maintaining original integrity and attributes. Enter the Hadoop-based data lake. While a traditional on-premise data lake might address the immediate needs for scalability and flexibility, research suggests that it may fall short in supporting key aspects of the user experience. This Knowledge Brief investigates the impact of a data lake maintained in a cloud or hybrid infrastructure.
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     IBM
By: IBM     Published Date: Jan 27, 2017
While any number of reasons can prompt a change in data warehouse solutions, there are four key facts you need to know to help you make the right choice: 1. Complexity stifles business 2. Speed is business-friendly 3. Cost reduction is crucial 4. Analytics: The key to current and future success This e-book will explore those facts and explain why they are essential when evaluating your data warehouse options.
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     IBM
By: IBM     Published Date: Jan 27, 2017
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
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     IBM
By: IBM     Published Date: Jan 11, 2017
Download this eBook to learn: - How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats - Why Cyber Threat Analysis is the most effective defensive strategy - How analysts benefit from the use of sophisticated data visualization to identify hidden threat relationships and patterns - Why shifting from attack prevention to mitigation is a more practical goal for commercial organizations
Tags : ibm, analytics, public sector, security, cyber threat, cyber threat analysis, risk
     IBM
By: IBM     Published Date: Jan 11, 2017
Download this white paper to learn: - How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats. - Why security infrastructure protection alone is not enough to thwart cyber criminals, and how you can fortify your existing security strategy. - How the use of both machine led analytics with human led analysis can help you mitigate threats.
Tags : ibm, analytics, public sector, security, cyber threat, cyber threat analysis, risk
     IBM
By: IBM     Published Date: Jan 13, 2017
As traditional network perimeters surrounding data centers dissolve, agencies face enormous difficulties fending off attacks using a patchwork of traditional security tools to protect classified or personally identifiable information (PII). Time and again, traditional security practices have proven porous and/or unsustainable. Read this i360Gov Book to understand the importance of: - Transforming federal fortifications into intelligence-driven defense - Intensifying focus on cyber intelligence -Needing a well trained cybersecurity force
Tags : ibm, analytics, government, public sector, security, cyber threat, cyber threat analysis, risk
     IBM
By: IBM     Published Date: Jan 18, 2017
It's all well enough for an organization to collect every slice of data it can reach, but having more data doesn't mean you'll automatically get better insights. First, you have to figure out what you want from your data you have to find its value.
Tags : ibm, aps data, data science, open data science, analytics
     IBM
By: IBM     Published Date: Jan 18, 2017
In the domain of data science, solving problems and answering questions through data analysis is standard practice. Data scientists experiment continuously by constructing models to predict outcomes or discover underlying patterns, with the goal of gaining new insights. But data scientists can only go so far without support.
Tags : ibm, analytics, aps data, open data science, data science, data engineers
     IBM
By: IBM     Published Date: Jan 18, 2017
Data matters more than ever to business success. But value does not come from data alone. Rather, it comes from the insights enabled by data. No matter what your role is, or where you are in your data journey, you are looking for ways to drive innovation.
Tags : ibm, analytics, aps data, open data science, data science, apache spark
     IBM
By: IBM     Published Date: Jan 18, 2017
IBM Compose Enterprise delivers a fully managed cloud data platform on the public cloud of your choice - including IBM SoftLayer or Amazon Web Services (AWS) - so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
Tags : ibm, analytics, aps data, database, cloud db toolkit
     IBM
By: IBM     Published Date: Jan 18, 2017
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
Tags : ibm, cloud, analytics, cloudant managed service, cloudant local, apache couchdb, databases
     IBM
By: IBM     Published Date: Jan 18, 2017
This report is designed to help you make an informed decision about IBM Cloudant. It is based on 43 ratings and reviews of Cloudant on TrustRadius, the trusted user review site for business software.
Tags : ibm, analytics, aps data, database, cloud db toolkit, cloudant
     IBM
By: IBM     Published Date: Jan 19, 2017
Read this article to understand how Box can revolutionize the way your marketing team creates campaigns in just five ways: 1. Complete projects, fast 2. Work with outside contractors and agencies, securely 3. Access files here, there and everywhere 4. Equip sales team with winning tools 5. Distribute campaign content easily
Tags : ibm, marketing, box, ibm box, campaigns, traditional marketing
     IBM
By: IBM     Published Date: Jan 19, 2017
Meet Liz, a Director of Marketing, and journey with her as she looks for innovative ways to brainstorm and share content with both her internal teams and external agency partners. Liz discovers Box, a simple cloud-based content and file sharing solution that improves collaborative control.
Tags : ibm, analytics, ecm, box, marketing, effective marketing, content, ibm box
     IBM
By: IBM     Published Date: Jan 19, 2017
This paper covers how marketers should get control over content, and build marketing campaigns faster and easier.
Tags : ibm, analytics, box, ecm, marketers, marketing campaigns, traditional marketing
     IBM
By: IBM     Published Date: Jan 19, 2017
Forrester Consulting study that explores the hypothesis that modern businesses require enterprise content management (ECM) platforms that can offer faster deployment capabilities and operational flexibility in order to meet their shifting business objectives.
Tags : ibm, analytics, forrester, ecm, ecm platforms, enterprise content management
     IBM
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