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By: Dell EMC     Published Date: May 10, 2017
While just about everyone is writing about how IT and the businesses it serves need to be transformed, the actual industry answers to both digital and IT transformation remain unclear at best. Are transformational initiatives all about analytics and big data? Or are they about the move to cloud in all its varieties? Support for mobile? More agile ways of working and developing software? Or are they actually all about crafting teams to promote more proactive dialog between the business and IT? The truth is, of course, digital and IT transformation depend on all of the above and more. They also depend on a resilient infrastructure that’s easily adapted to changing business priorities without requiring long hours spent on maintenance, updates, and addressing problems of service availability. But making all this work clearly and cohesively is far beyond the purview of almost any solution today—whether from a software management perspective or from a hardware infrastructure perspective.
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     Dell EMC
By: Aberdeen     Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
Tags : aberdeen, michael lock, data-driven decisions, business intelligence, public sector, analytics, federal, state
     Aberdeen
By: Dun & Bradstreet     Published Date: Mar 03, 2017
What’s the best analytic approach for your business? As technology has evolved, so has our ability to process data at an incredible rate, making it possible to perform what has become known as Anticipatory Analytics. While still a relatively new concept, anticipatory analytics is gaining prevalence as a methodology. If you’re seeking to understand the future needs of your business before they show obvious signs, anticipatory analytics can’t be ignored. In this document, you’ll learn: • The advantages of anticipatory analytics • The key enablers of anticipatory analytics • How anticipatory can be leveraged for your business • Why anticipatory can give you first-mover advantage • When to use anticipatory or predictive analytics, based on your goals
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     Dun & Bradstreet
By: Dun & Bradstreet     Published Date: Mar 03, 2017
Creating predictive analytics from alternative data has become the current focus of the biggest quant trading firms in the industry The democratization of financial services data and technology, together with more intense competition, makes the needs of today’s market participants vastly different from those of previous generations. Firms must locate untapped sources of data for both public and non-public companies. This alternative data, such as payment data and other non-public information, from sources beyond the common channels, can be a predictive indicator of market performance; a difference maker in assisting firms as they develop models to evaluate their investments. By combining our unique data sets with advanced analytics, traders, analysts and managers can seek predictive signals and actionable information utilizing their own models. View our research report to learn how alternative data, our 'Information Alpha,' can help you earn differentiated investment returns.
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     Dun & Bradstreet
By: Dun & Bradstreet     Published Date: Mar 03, 2017
Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
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     Dun & Bradstreet
By: IBM APAC     Published Date: May 18, 2017
In today’s always on world, IT systems are so interdependent with business operations that even a few minutes of downtime can have big implications—for your productivity, reputation and finances. New technologies like cloud, mobile, analytics and social can help your business be more flexible and responsive, but at the same time they increase your risk.
Tags : ibm, tss, cloud, mobile
     IBM APAC
By: Adobe     Published Date: Mar 21, 2017
Digital marketing technologies have transformed both anonymous and authenticated interactions. Online ads, websites, and search reach more anonymous consumers for less, with much better segmentation and measurement. They’ve also added entirely new capabilities like behavioral monitoring and predictive analytics.
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     Adobe
By: Oracle     Published Date: May 13, 2017
Each chapter is illustrated by examples from successful businesses that have embraced digital technologies and the best practices being implemented so that CFOs and their finance teams have the opportunity to become the new organisational wide digital guidance system for their business.
Tags : modern finance, digital age, cloud, social, mobile, big data, big data analytics, digital transformation
     Oracle
By: Dell EMC     Published Date: Apr 18, 2017
In this paper the case for Hyper-Converged Appliances, and in particular the Dell EMC VxRail Appliance powered by Intel® Xeon® processor, is made from both cost and measurable effort perspectives. Strict reliance on measurables was used in lieu of anecdotal observations or customer quoted benefits in order to provide realistic and repeatable analysis.
Tags : dell, emc, hyper-convergence, hyper-converged appliances, analytics
     Dell EMC
By: WNS     Published Date: Apr 05, 2017
The client is one of the world's leading insurance companies. In 2007, the client embarked on a journey to transform its actuarial function. The objective was to improve the operational efficiencies and accuracy of actuarial reporting, while meeting tight timelines and reducing operational costs.
Tags : insurance, reporting, wns, wns solution, data, analytics
     WNS
By: WNS     Published Date: Apr 06, 2017
In the recent past, a New York City court convicted 13 people including six medical professionals who had, over several years, milked auto insurance companies of millions in fraudulent claims.
Tags : insurance, auto insurance, wns, benefits of wns
     WNS
By: IBM     Published Date: May 02, 2017
An interactive white paper describing how to get smart about insider threat prevention - including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third-party collaboration. Security breaches are all over the news, and it can be easy to think that all the enemies are outside your organization. But the harsh reality is that more than half of all attacks are caused by either malicious insiders or inadvertent actors.1 In other words, the attacks are instigated by people you’d be likely to trust. And the threats can result in significant financial or reputational losses.
Tags : insider threats, data management, organization management, data analytics, threat detection, risk management, fraud discovery, forensics investigation
     IBM
By: Cloudamize     Published Date: Apr 04, 2017
Understand which questions to address and which analytics to capture to improve the ease, speed, and accuracy of moving to the public cloud and to ensure cost-performance optimization of your in-cloud deployment on an ongoing basis.
Tags : moving to the cloud, cloud computing cost, cloud cost analysis, tco cloud, cloud calculator, cost of cloud computing, cloud computing cost calculator, cloud cost management
     Cloudamize
By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
Tags : data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
     IBM
By: ServiceNow     Published Date: Apr 12, 2017
Read The Total Economic Impact™ of ServiceNow, an April 2017 commissioned study conducted by Forrester Consulting on behalf of ServiceNow, to understand the benefits, costs, and risks associated with the following ServiceNow solutions: IT Service Management, IT Operations Management, and Performance Analytics. The study, commissioned by ServiceNow, covers key findings in these three categories: Modernizing IT Service Management Eliminating Service Outages Optimizing Performance with Real?time Analytics Forrester interviewed seven current ServiceNow customers with years of experience using the solutions identified above. The purpose of the study is to provide potential customers with a framework to evaluate the real world customer experience and economic impact of the Now platform on their organizations.
Tags : operations management, performance analytics, it management, it automation, it ticketing, help desk, service desk, itsm
     ServiceNow
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: May 23, 2017
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Tags : cloud strategy, database projects, disaster recover, geographic reach, large database, ibm, analytics, management optimization
     IBM
By: FICO     Published Date: Mar 14, 2017
In this Executive Brief, we share best practices in how to evaluate and deploy layered controls that will help you develop a holistic approach to controls, investigate and control where risk is introduced, assess your risk appetite and benchmark your cybersecurity posture against others in your industry.
Tags : network security and data protection, advance threat defense, network visibility, security analytics, mobile security, cyber security detection software
     FICO
By: FICO     Published Date: Mar 14, 2017
Learn how technologies such as AI, self-calibrating models and self-learning analytics are being used to detect cyber attacks before they happen. Download now!
Tags : network security and data protection, advance threat defense, network visibility, security analytics, mobile security, cyber security detection software
     FICO
By: FICO     Published Date: Mar 14, 2017
Are you ready for a new year of killer devices, hacked fingerprints, crooked migration and more? Download now.
Tags : network security and data protection, advance threat defense, network visibility, security analytics, mobile security, cyber security detection software
     FICO
By: Microsoft     Published Date: May 04, 2017
Read on to find out how predict demand, personalise your offer and pre-empt operational issues to stay ahead.
Tags : business analytics, business intelligence, data, marketing
     Microsoft
By: Viavi Solutions     Published Date: Apr 14, 2017
In the age of information, staying on top of emerging threats requires IT teams to leverage existing tools in innovative ways, such as applying deep packet inspection and analysis from performance monitoring solutions for advanced security forensics. Based on recent insight gathered from 322 network engineers, IT directors and CIOs around the world, 85 percent of enterprise network teams are now involved with security investigations, indicating a major shift in the role of those teams within enterprises. Large-scale and high-profile security breaches have become more common as company data establishes itself as a valuable commodity on the black market. As such, enterprises are now dedicating more IT resources than ever before to protect data integrity.
Tags : network security, security validation, technical security, cyber attacks, database security, it security, traffic analytics, data report
     Viavi Solutions
By: Marketo     Published Date: May 18, 2017
While ABM is not a new way to strategically market to target accounts, now it is a scalable, achievable strategy that organizations of all sizes can implement to focus on whole lifecycle marketing for key accounts. Marketing, selling to, and supporting your customers at an account-level is not only critical to your success, it’s what your customers expect. Competitive organizations that are focused on engaging their customers across the entire lifecycle, and throughout their buyer journey, need to sell at an account level, understand the influence of the different contacts and speak directly to them. The ABM we practice today is entirely different than the manual processes of days past. Implementing an ABM strategy no longer means an astronomical investment but it does mean increased revenue, focus, and partnership within your organization.
Tags : organization management, target accounts, engaging content, channel optimization, analytics, technology management, abm strategy, communication management
     Marketo
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