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Published By: SumTotal, a Skillsoft Company     Published Date: Jun 24, 2016
In the latest developments in technology for HCM, Nucleus sees an inexorable march to upend conventional approaches to on-the-job learning. Training scheduled around static variables such as regulatory policy or company initiatives, for instance, is one-dimensional. This type of learning will persist. The emergence of prescriptive analytics made possible by real-time data models, however, makes trigger-based, in-the-moment learning possible (Nucleus Research p199 – The coming mass extinction in HCM, November 2015). Further supporting this are social media–style user interfaces (UIs), which promote continual collaboration. It’s learning that happens whenever an employee needs it, not when the organization or law decrees it. Data across HCM prompts these triggers.
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best practices, business optimization, business management, organization, talent management, technology, human resources
    
SumTotal, a Skillsoft Company
Published By: IBM     Published Date: Oct 13, 2017
Blue Hill provides guidance on 1) the Customer Journey leading to a new generation of analytic tools, 2) key value propositions associated with moving to tools such as IBM Cognos Analytics and IBM Watson Analytics, and 3) recommendations for best practices in maximizing the value of insightful and predictive analytics for enterprise data.
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blue hill research, data analytics, ibm cognos, watson analytics, enterprise data
    
IBM
Published By: NAVEX Global     Published Date: Mar 04, 2014
Almost every company has some, many or all of the elements of an effective third party compliance program. The challenge is to identify what you have. This whitepaper can help you identify.
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navex global, compliance program, third party risk management, risk management, compliance implementation, effective compliance, identify and prioritize, risk assessment, qualified third parties, qualifications, risk mitigation, monitoring and auditing, human resources
    
NAVEX Global
Published By: McAfee     Published Date: Mar 31, 2017
Overwhelmed by the volume of security intelligence and alerts, human analysts need machine learning to augment and accelerate efforts. Machine learning moves security analytics from diagnostic and descriptive to prescriptive and proactive, leading to faster and more accurate detection.
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machine learning, advanced analytics, advanced threats, sandbox, zero-day, malware, mcafee labs, dynamic endpoint
    
McAfee
Published By: IBM     Published Date: May 07, 2015
Hear a panel of HR leaders engage in a conversation about how they are using predictive and prescriptive analytics applied to talent to drive better business results. Join us to explore how you can be more effective in designing pilots, demonstrating the ROI for talent analytics, and translating talent data into talent insight.
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talent acquisition, recruiting, optimization, technology, talent analytics, ibm, human resources
    
IBM
Published By: IBM     Published Date: Jun 13, 2016
Read this eBook to explore how using predictive and prescriptive analytics applied to talent can drive better business results.
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ibm, workforce analytics, ibm smarter workforce institute, human resources, hr analytics
    
IBM
Published By: SAS     Published Date: Jan 31, 2011
Companies are becoming more analytically mature and are developing greater analytical capabilities. Many companies are also creating a context for analytics, with analytical cultures and processes. When companies compete based on analytics, analytics is having a positive bottom-line impact.
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sas, prescriptive analytics, harvard business
    
SAS
Published By: TeamQuest     Published Date: Dec 19, 2014
Businesses are constantly putting pressure on price, performance and reliability of IT services and infrastructure. Recent adoption of technologies such as virtualization, dynamic computing and various forms of cloud computing coupled with changing management paradigms has raised the stakes even more. This ruthless drive for efficiency calls for the use of more sophisticated optimization methods. It is safe to say that if you don’t, chances are you will be “done” by others who do.
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infrastructure, virtualization, optimization, guide, descriptive, diagnostic, predictive, prescriptive, analysis, efficiency, risk, white, paper, it management, knowledge management, data management, data center
    
TeamQuest
Published By: Tripwire     Published Date: Dec 16, 2009
This Prescriptive Guide outlines the steps information security managers can take to break the compliance blame cycle and build an information security program that works. It also describes how they can achieve alignment among all stakeholders so that information security and compliance activities become integrated into daily business operations.
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tripwire, information security, audit fatigue, compliance, security risk
    
Tripwire
Published By: IBM     Published Date: Feb 16, 2016
Analytics has been a hot topic for a long time. In insurance, it's been a core area of focus forever, and descriptive analytics have been followed by predictive analytics. But companies are just beginning to explore prescriptive analytics for decision management, and now comes a whole new era: Cognitive.
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analytics, cognitive computing, decision management, prescriptive analytics, data, insurance, data insights, insurance ros
    
IBM
Published By: IBM     Published Date: Jan 02, 2014
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
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ibm, analytic answers, prioritized collections, collection agencies, debt collection, constrained budgets, constrained resources, the cloud, analytics technology, predictive and prescriptive, effective collection, up-to-date insights, trends and patterns, capital expenses, operational changes, data-driven, visual trends, potential opportunities, potential threats, business goals
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
Life revolves around prediction—for example, the route you take to get to work, whether to go on a second date, or whether or not to keep reading this sentence are all forms of prediction. We are already seeing machine learning powered by Apache Spark changing the face of innovation at IBM. Learn more.
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intelligent applications, machine learning, prescriptive analytics, real-time, natural language processing, automation
    
IBM
Published By: SAS     Published Date: Sep 30, 2014
In this paper – which is based on a webinar hosted by the Direct Marketing Association (DMA) and sponsored by SAS – we will take a look at how these technological advancements can enable you to become more predictive and prescriptive in your digital and integrated marketing efforts.
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sas, direct marketing association, integrated marketing efforts, digital marketing efforts, search marketing, networking, business technology
    
SAS
Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy
Published By: IBM     Published Date: May 19, 2015
Traditionally, business intelligence (BI) has looked backward at what has happened. In today’s marketplace, enterprises need to look ahead. From predictive to prescriptive intelligence, TDWI and IBM look at what businesses need most.
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business intelligence, prescriptive intelligence, predictive analytics, immersive user experience, analytic technology, informative visualization
    
IBM
Published By: FICO     Published Date: Jun 07, 2016
As any line of business (LOB) leader knows, making customer level decisions that balance risk and profit just keeps getting harder. And even when you think you have the right decisions, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them.
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FICO
Published By: FICO     Published Date: Dec 04, 2017
As consumers, we’re all having more experiences that seem almost magical: You’re in a mall when suddenly your smartphone beeps. It’s an offer for 20% off a pair of shoes you’ve been looking at online — from the store you just walked past! As business people, we know it’s not magic, but rather analytics powering these outstanding customer experiences. Analytics have evolved to the point where they answer an expanding range of useful questions. But understanding the different types of analytics – descriptive, diagnostic, predictive and prescriptive - and how to use them in your business can be challenging. Download the eBook to learn about the least understood – yet most powerful – tool in the analytic arsenal. Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. Getting there isn’t as difficult as you think. Start your journey. Download the eBook today.
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profits, analytics, credit, social, media, services, customer, consumers
    
FICO
Published By: Apptio     Published Date: Jul 16, 2019
In this eBook, we walk you through the four ways to optimize your IT costs and offer up prescriptive questions to make your analysis crisp and your conclusions actionable. Learn more about these four ways to optimize technology costs, including: - Scrutinize to close financial loopholes - Economize to eliminate waste - Rationalize to avoid duplication - Commercialize to curb demand
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Apptio
Published By: Apptio     Published Date: Oct 09, 2019
"Optimization. Rationalization. Cost-Recovery. All buzzwords for a simple concept: how do technology leaders ensure that every dollar spent is directed towards business value? In this eBook, we walk you through the four ways to optimize your IT costs and offer up prescriptive questions to make your analysis crisp and your conclusions actionable. Learn more about these four ways to optimize technology costs, including: - Scrutinize to close financial loopholes - Economize to eliminate waste - Rationalize to avoid duplication - Commercialize to curb demand"
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Apptio
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