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Published By: IBM     Published Date: Apr 04, 2016
Just as business intelligence helps enterprises make decisions that maximize opportunities and minimize business risks, security intelligence enables them to better detect threats, identify security risks and areas of noncompliance, and set priorities for remediation. One of the most compelling arguments for security intelligence is operational efficiency, or better use of people, time and infrastructure. This white paper discusses how security intelligence is an essential ingredient to comprehensive and cost-effective information security.
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ibm, security intelligence services, ibm security intelligence solution, cloud siem, security intelligence event management
    
IBM
Published By: IBM     Published Date: Apr 20, 2016
Welcome to “How to put IBM Watson to work for powerful information access and insights,” where we’ll show you how Watson and its Watson Explorer application can get down to business and help your organization be more effective, more productive, and make better-informed decisions.
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ibm, ibm watson, watson explorer, business intelligence, business insights
    
IBM
Published By: IBM     Published Date: Apr 20, 2016
Modern organizations often have huge stores of data, which can make it difficult for employees to find the information they need when they need it. In response, innovative enterprises are creating unified information applications based on cognitive computing technology in order to put invaluable information at workers' fingertips.
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ibm, ibm watson, watson explorer, business intelligence, business decisions, innovative enterprises
    
IBM
Published By: IBM     Published Date: May 25, 2016
In this IBM limited-edition Dummies book, you’ll learn what operational decision management (ODM) is and how it can benefit your organization by helping to: - Enable faster and more agile change so your business can react more quickly to opportunities and threats - Automatically capture knowledge so it can be reused to make better business decisions - Manage compliance better by providing a clear record of the rules that govern business operations - Make operational decisions more predictable and repeatable while also allowing you to model, measure, collaborate on and refine these decisions as your business needs change - Improve customer service with more consistent and accurate rules-based decisions, as well as by personalizing the user experience
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ibm, odm, operational decision management, odm, middleware, connect
    
IBM
Published By: IBM     Published Date: Jul 12, 2016
Join IBM and partner Zementis in this webcast to hear how Predictive Model Markup Language (PMML), an industry standard, is helping solve business obstacles and enabling users to: - Drive timely and relevant insights via in-line predictive analytics - Score thousands of data records per second, scaling with business needs to enable instantaneous decisions - Improve performance and cost efficiency by reducing or eliminating movement data off-platform to conduct analysis
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ibm, z systems, predictive analytics, analytics tools, zementis, predictive model markup language, pmml
    
IBM
Published By: IBM     Published Date: Oct 17, 2016
See how you can turn data into actionable insights with predictive analytics. Take our brief assessment to learn which analytical capabilities will enable you to find the greatest value in your data and make confident, accurate business decisions.
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ibm, analytics, spss, stats, modeler, predictive analytics
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: Aflac     Published Date: Feb 15, 2013
Is your business prepared for important health care decisions in 2013? Navigate health care reform with Aflac’s Health Care Essentials.
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health care reform, employer-sponsored health insurance, benefits, workforce, affordable care act, aca, ppaca, obama care, health care, exchange, private exchange, public exchange, supplemental, insurance, voluntary insurance, regulations, health care law
    
Aflac
Published By: IBM     Published Date: Sep 06, 2018
CISOs Investigate is a series that offers first-hand insights to security leaders as they makebusiness-driven risk and technology decisions
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IBM
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
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Group M_IBM Q418
Published By: Group M_IBM Q2'19     Published Date: May 21, 2019
ODM is the evolution of business rules management. It provides a complete, easy-to-use system for automating day-today operational decisions and allows businesspeople and IT to collaborate on business rules by using an interface and a language that are comfortable and intuitive for both. ODM not only allows you to automate your business rules, but also it enables you to apply insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. It ensures that you’re making the right decisions at the right time, when it can make a difference. What can this mean for your business? Adopting operational decision management can: • Improve customer centricity (acquisition and retention) by engaging individuals at the right time with the right offers
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Group M_IBM Q2'19
Published By: Cisco     Published Date: Jul 11, 2016
Digital transformation has become a top mandate for almost every IT and business leader. The ZK Research 2015 IT Priorities Survey found that 79% of businesses currently have a digital transformation initiative in progress (Exhibit 1). In the digital era, competitive advantage is no longer determined by which company has the best products or even the best people. Market leadership is based on an organization’s ability to analyze information, gain insights and make fast decisions to capitalize on market transitions. One important step in the journey to becoming a digital organization is to transform into an agile business—and it is impossible to do so without having an agile IT infrastructure to enable it. This is why businesses spent more than $12 billion on technology in 2015 to make IT more agile, according to ZK Research.
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Cisco
Published By: IBM     Published Date: Apr 03, 2017
Businesses today certainly do not suffer from a lack of data. Every day, they capture and consume massive amounts of information that they use to make strategic and tactical decisions. Yet organizations often lack two critical capabilities when it comes to making the right decisions for the business: the ability to make accurate predictions about the future, and to then use those predicted insights in conjunction with organizational goals to identify the best possible actions they should take. The combination of predictive analytics and decision optimization provides organizations with the ability to turn insight into action. Predictive analytics offers insights into likely scenarios by analyzing trends, patterns and relationships in data. Decision optimization prescribes best-action recommendations given an organization’s business goals and business dynamics, taking into account any tradeoffs or consequences associated with those actions.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources, data optimization
    
IBM
Published By: IBM     Published Date: May 01, 2017
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it. The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources. This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
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it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
IBM
Published By: IBM     Published Date: May 12, 2017
In today’s world, the data is flowing from all directions: social media, phones, weather, location and sensor equipped devices, and more. Competing in this digital age requires the ability to analyze all of this data, and use it to drive decisions that mitigate risk, increase customer satisfaction and grow revenue. Using a combination of proprietary software and open source technology can give your data scientists and statisticians the analytical power they need to find and act on insights quickly. IBM® SPSS® Statistics provides all of the data analysis tools you need, and integrates with thousands of R extensions for maximum power and flexibility. In this next Data Science Central Webinar event, we will show how SPSS Statistics can help you keep up with the influx of new data and make faster, better business decisions without coding.
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ibm, spss, data analysis, statistics, risk mitigation
    
IBM
Published By: Microsoft Dynamics     Published Date: Jul 23, 2007
Businesses don’t garner insights or make decisions. Businesses don’t close deals, invent new products, or find new efficiencies. People do. Companies excel when they empower their people to drive the business forward. But to see results, you also have to give your people the right tools, information, and opportunities—because success ultimately comes down to your people.
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microsoft, microsoft dynamics, productivity, people ready, people-ready, employee performance, business process automation, bpm, information management, information work, collaboration, corporate portal, dynamics ax, business integration
    
Microsoft Dynamics
Published By: Silverpop Engage B2B     Published Date: May 19, 2009
Smaller budgets. Fewer personnel. More pressure to show value. As the recession lingers on, B2B marketers are being called upon to deliver bigger, faster, cheaper results with less resources. But the current economic climate means even companies able to make high-dollar purchases will require more touch points to nurture them through the buying process. Today's business buyers are cautiously working to make smarter, more informed decisions.
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silverpop, engage, roi, metrics, email marketing, opens, clicks, recession, b2b, b2c, roi, return on investment, engaging, recipient, communications, customers, prospects, customer relationship management, crm, click-through rates
    
Silverpop Engage B2B
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: SAS     Published Date: Mar 20, 2019
Seeing value from analytics and emerging technologies such as AI begins with trust in the data. That trust relies on how data is collected, shared, protected and used. The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights – and what steps are needed to get trustworthy data.
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SAS
Published By: IBM     Published Date: Apr 04, 2013
Business users need a simple but powerful way to navigate through data and find the insights to make timely, critical business decisions. Unfortunately, many users have become frustrated at their inability to quickly access and analyze the information they require. This data typically includes a combination of personal and corporate data locked in various enterprise systems. It exists in different formats and can be hard to analyze, change or share — making it difficult for people to get fast answers to business questions.
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ibm cognos, insight, guides, analysts, faster, better outcomes, better performance, business analysts
    
IBM
Published By: IBM     Published Date: Apr 04, 2013
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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geeknet, business analytics, midsize businesses, challenges, benefits, business intelligence
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
Business users need a simple but powerful way to navigate through data and find the insights to make timely, critical business decisions. Unfortunately, many users have become frustrated at their inability to quickly access and analyze the information they require. This data typically includes a combination of personal and corporate data locked in various enterprise systems. It exists in different formats and can be hard to analyze, change or share — making it difficult for people to get fast answers to business questions.
Tags : 
ibm, ibm business analytics, business analytics solutions, ibm cognos insight, analytics, data analysis, visualization
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
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ibm, geeknet, business analytics, analytics, midsize businesses, business intelligence
    
IBM
Published By: IBM     Published Date: Oct 31, 2013
IBM Business Analytics help managers in different areas of the marketing organization do their jobs more effectively. Watch this video to see how: 1. Demand generation managers can target the most profitable customers with the right offer at the right time. 2.Marketing operations managers can review the results of multiple campaigns from a single marketing performance dashboard. 3. Brand managers can blend data from blogs, forums and social websites with CRM data to see how people really regard the company’s brand. Watch this video to see how IBM helps you make smarter marketing decisions, faster.
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roi, return on investment, marketing analytics, performance analytics, business analytics, metrics, data, driver-based campaign, campaign optimization, marketing campaign, analytics software, customer experience, c-suite, customer relationship management, crm
    
IBM
Published By: Oracle     Published Date: Nov 13, 2013
Being responsible for one-third of a business’ success already puts HR in a critical role. But it’s not just about finding the best people—it’s about finding the best people, at the lowest cost, with the lowest possible attrition and the best possible performance. And it’s about guiding your executive team to the right decisions using the language they understand best: numbers. Talent management—covering everything from recruiting and compensation to ongoing education and retention—has traditionally been managed in silos, with a series of disparate systems and disconnected processes and reports. In today’s data-driven world, CEOs demand more. This new study conducted by HR.com explores what’s working for organizations today and the biggest gaps to fill.
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zenithoptimedia, oracle, successful hr leadership, talent management, core business strategy, human resources, transactional to strategic, financial decisions, smart recruiting, talent scarcity and recruitment, technology advances, competitive compensation, quality of hire, hire smartly
    
Oracle
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