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hr analytics

Results 251 - 275 of 320Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Mar 01, 2012
This Aberdeen Research Brief draws on three discrete data sets in order to understand the tangible business impact of effective analytics in the SMB market.
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it management
    
SAS
Published By: SAS     Published Date: Mar 14, 2014
The solution to operationalizing analytic s involves the effective combination of a Decision Management approach with a robust, modern analytic technology platform. This paper discusses both how to use a focus on decisions to ensure the right problem gets solved and what such an analytic technology platform looks like.
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sas, predictive analytics, technology platform, solution, operationalizing, production systems
    
SAS
Published By: Taleo     Published Date: Mar 30, 2012
This study covers how to do each of these things effectively and includes examples from companies such as Cargill and Savannah River Nuclear Systems.
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alere, hr management, human resources, workforce, talent analytics, talent acquisition, talent management, performance management
    
Taleo
Published By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
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ibm, cloud, mobility, social business, data, big dta, theft, cyber theft, cyber criminals, security, security risks, global analytics, visibility, data sets, protection, external threats, risk, risk management, finanical stability, it management
    
IBM
Published By: IBM     Published Date: Nov 12, 2013
Today IBM offers more than 80 cloud-based business solutions through software-as-a-service. IBM SmartCloud Solutions accelerate innovation for the enterprise across business processes, deliver business analytics at the point of impact, and connect people with collaborative business networks. Learn more at ibm.com/saas
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software as a service, saas, saas solutions, business process innovation, analytics, business process as a service, enterprise applications, cloud computing
    
IBM
Published By: IBM     Published Date: Feb 04, 2015
Driving the right interaction at the right time. This paper examines the need to uncover and understand the dynamic roles and changing needs of individuals, the importance of synchronizing interactions with these changing needs, and how predictive analytics can drive customer intimacy by facilitating 1:1 interactions.
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predictive analytics, customer interaction, crm, business analytics, marketing attributes
    
IBM
Published By: IBM     Published Date: Jan 20, 2016
Workforce analytics can challenge conventional wisdom, influence behavior, and enable HR and business leaders to make smarter decisions that impact business outcomes.
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ibm, analytics, workforce, workforce analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 22, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, commerce, customer analytics, customer insight, data insights, business opportunity, analytics, enterprise applications
    
IBM
Published By: IBM     Published Date: Aug 17, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer experience, commerce, customer experience analytics, data insights, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 11, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, customer analytics, customer experience, analytics, data insight, enterprise applications
    
IBM
Published By: IBM     Published Date: Feb 01, 2017
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
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ibm, commerce, customer analytics, customer insights, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
This white paper discusses how IBM InfoSphere can support the integration and governance of Big Data in healthcare. The white paper reviews three case studies including predictive analytics with Electronic Medical Records, time series data in a neonatal intensive care unit and predictive pathways for disease.
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big data, data integration, healthcare
    
IBM
Published By: IBM     Published Date: Feb 05, 2015
Revealing new insights into agency performance, claims processing, customer profitability and exposure.
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agency performance, claims processing, customer probability, advanced analytics
    
IBM
Published By: IBM     Published Date: May 29, 2015
Take action in the Internet of Things through data-in-motion analytics
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data center
    
IBM
Published By: Group M_IBM Q418     Published Date: Oct 02, 2018
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the user’s identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software. Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps. Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
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Group M_IBM Q418
Published By: IBM     Published Date: Apr 27, 2017
It’s hard to grow your business if you can’t see what’s coming next. What will the demand be for a specific product or service and how should you adjust production? What revenue can be expected and from which channels? Where are the best areas to expand your business? Predictive analytics can provide the answers executives, analysts and business managers need to reduce costs, operate more efficiently and increase the bottom line. Join IBM SPSS and guest Mark Lack, Manager of Strategy Analytics and Business Intelligence with industrial products company Mueller Inc. for a look at how to decrease costs and improve your business’ profitability with predictive analytics. You’ll learn how Mueller extends the value of its Big Data environment by applying predictive techniques to accurately forecast sales, prevent fraud and reduce losses from damaged inventory, saving the company significant time and money.
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predictive analytics, fraud detection, increase revenue, decrease costs, customer retention, hr efficiency, advanced analytics
    
IBM
Published By: IBM     Published Date: Apr 03, 2017
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins. Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses. Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
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predictive analytics, analytics, data analytics, financial marketing, market analytics, data resources
    
IBM
Published By: IBM     Published Date: Apr 20, 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.
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insider threats, data management, organization management, data analytics, threat detection, risk management, fraud discovery, forensics investigation, incident response
    
IBM
Published By: IBM     Published Date: May 01, 2017
If you function like most IT organizations, you've spent the past few years relying on mobile device management (MDM), enterprise mobility management (EMM) and client management tools to get the most out of your enterprise endpoints while limiting the onset of threats you may encounter. In peeling back the onion, you'll find little difference between these conventional tools and strategies in comparison to those that Chief Information Officers (CIOs) and Chief Information Security Officers (CISOs) have employed since the dawn of the modern computing era. Their use has simply become more: Time consuming, with IT trudging through mountains of endpoint data; Inefficient, with limited resources and limitless issues to sort through for opportunities and threats; and Costly, with point solution investments required to address gaps in OS support across available tools. Download this whitepaper to learn how to take advantage of the insights afforded by big data and analytics thereby usher i
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ibm, endpoint management, mobile device management, enterprise mobility, os support, it organizations
    
IBM
Published By: Pardot     Published Date: Apr 29, 2009
Learn how to use marketing automation tools to streamline your process and push leads quickly through the pipeline without increasing your spend. Marketing automation suites offer an integrated option for generating and managing leads with landing page and email marketing tools, automated scoring and grading, drip nurturing emails, micro-level analytics and anonymous visitor identification.
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pardot, web marketing value, leads, streamline, pipeline, marketing automation, lead management, lead generation, lead gen, leads, micro-level analytics, drip nurturing, scoring, grading, b2b, b2c, sales growth, sales team, sales, sales rep
    
Pardot
Published By: SAS     Published Date: Nov 16, 2018
More account openings are taking place through digital devices and online, giving the access and anonymity fraudsters need to steal or fabricate identities. Since credit fraud often starts with a falsified application, it makes sense to have strong tools to monitor loans and credit lines from that point onward. This paper discusses analytics-driven methods for validating applications and spotting trouble at all three stages of bust-out fraud schemes.
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SAS
Published By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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SAS
Published By: SilverSky     Published Date: Apr 16, 2013
In Forrester's 15-criteria evaluation of the emerging managed security services provider (MSSP) market, SilverSky was identified as a leader. Forrester identified the 10 most significant providers in this category and researched, analyzed, and scored them. SilverSky was given high ranks for business and technical value, SLA adherence, security services, and threat intelligence and analytics. Download this industry research paper now to learn why SilverSky is the MSSP you should be working with today.
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managed security, msp, managed service provider, sla adherance, threat intelligence, analytics, mssp, forrester
    
SilverSky
Published By: IBM     Published Date: Jan 09, 2014
In this Advisory, Clabby Analytics looks more closely at the importance of implementing an integrated infrastructure — and its relationship to business analytics. The paper will examine the business analytics workloads, discuss how these workloads put different demands on the underlying systems and infrastructure, and provide guidance designing an integrated business analytics environment that will provide organizations with high performance, resiliency, and a scalable growth path.
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analytics, power 7, big data, power systems, virtualization, ibm, ibm power systems, infrastructure, storage, integrated infrastructure, clabby analytics, three maxims, buying criteria, analytics buying, system storage
    
IBM
Published By: IBM     Published Date: Feb 18, 2014
In the digital age, customers sit in the driver’s seat. The most successful retailers have responded by putting shoppers at the heart of the merchandising process. We’ve identified a small group of firms that outperform their peers, thanks in part to three traits: they have merchandising functions that are customer-oriented, collaborate across internal and external boundaries and use analytics to make smarter business decisions.
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ibm, smarter commerce, demandtec, retail, ecommerce, applied insights, customer demand, merchandising
    
IBM
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