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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: 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: Microsoft     Published Date: Feb 02, 2017
Download the Keystone Research whitepaper to see how top performing enterprises use their IT investments to store, process, and use data to make more effective, real-time decisions. Keystone Research, a global economics and data-driven strategy consulting firm, interviewed senior IT and business decision makers at over three hundred businesses to uncover the relationship between Data & Analytics technologies and business performance. This research shows that companies who have developed the most sophisticated Data & Analytics platforms and apply these capabilities as a regular part of their business enjoy operating margins that are eight percentage points higher than lagging organizations. This translates to $100 million in operating profits on average for the more advanced companies in the sample controlling for factors such as company size and industry vertical.
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     Microsoft
By: HP Enterprise Business     Published Date: Jan 20, 2017
We all want our work to be meaningful and valuable. Working with mobile apps enables us to reach millions – potentially billions – of users if we create something our users like, value, and find useful. Download now to learn more.
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     HP Enterprise Business
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
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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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
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
By: IBM     Published Date: Jan 19, 2017
This ebook takes you on a journey to discover a cloud-based content management solution that provides greater visibility and collaborative control over business content. Meet Mike, an IT Solutions Executive, looking for an innovative way to collaborate that's secure, easy to use, immediate and accessible -- all while meeting strict governance policies.
Tags : ibm, analytics, ecm, box, box for it, content, cloud, content management
     IBM
By: IBM     Published Date: Jan 19, 2017
Read this article to learn how you can address the modern challenges of securing business information in the cloud.
Tags : ibm, analytics, ecm, box, box for it, content, cloud, content management
     IBM
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