Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
 

descriptive

Results 1 - 15 of 15Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: Oct 17, 2016
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
Tags : 
ibm, commerce, analytics, customer analytics, insights, research, customer journey, enterprise applications
    
IBM
Published By: IBM     Published Date: Feb 27, 2017
Why do organizations seek to design effective multi-channel customer journeys? Because customers today demand it. Download this research study from Hypatia Research Group to learn how global organizations are successfully utilizing various analytical techniques like descriptive, diagnostic, predictive, prescriptive and cognitive analysis to create a successful omni-channel customer journey.
Tags : 
hypatia research group, cognitive analysis, predictive analysis, customer journey
    
IBM
Published By: SAS     Published Date: Nov 10, 2014
Learn about the four benefits of interactively creating, running, and evaluating high-performance analytic models and see how this will allow your organization to get a fast, interactive interface without all the tedious experimentation.
Tags : 
sas, visual statistics, analytics, interactive interface, statisticians, business analysis, business management, interactive modeling, descriptive modeling
    
SAS
Published By: Apstra     Published Date: Feb 21, 2019
Customers and partners, and recently investors ask the question “How is one Intent-Based Networking (IBN) offering different than the others?” And more often than not I hear answers that sound subjective, descriptive, and subject to interpretation. What is needed are tangible, fact-based nomenclature that can help you reason about the maturity of IBN solutions. Using this nomenclature, we should be able to map IBN solutions to an IBN maturity level, starting with Level 0 (low maturity/incomplete) and going up to Level 3 which enables a fully compliant IBN solution (mature/complete).
Tags : 
ibn, saas
    
Apstra
Published By: Computhink     Published Date: Nov 30, 2007
The Auburn-Washburn School District provides public education to approximately 5,300 Kindergarten through 12th graders in Topeka, KS. It consists of 128 square miles of rural and suburban areas. Descriptive terms like academically challenging, progressive, small classes, high-achievement, modern and excellent are all used to describe the district.
Tags : 
frcp, search and retrieval, email management, email archiving, email archive, viewwise, computhink, school, education, roi, e-discovery, network management
    
Computhink
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.
Tags : 
machine learning, advanced analytics, advanced threats, sandbox, zero-day, malware, mcafee labs, dynamic endpoint
    
McAfee
Published By: SAS     Published Date: Sep 15, 2010
Collectively - representing more than 100 million unique visitors and more than a billion tweets per month - social media is a force too powerful to ignore. So how Do You Measure and Manage the Impact of Social Media?
Tags : 
sas, social media metrics, descriptive statistics, social network analysis, text analytics, measurement, emetrics
    
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.
Tags : 
infrastructure, virtualization, optimization, guide, descriptive, diagnostic, predictive, prescriptive, analysis, efficiency, risk, white, paper, it management, data center
    
TeamQuest
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.
Tags : 
analytics, cognitive computing, decision management, prescriptive analytics, data, insurance, data insights
    
IBM
Published By: Ping Identity     Published Date: Jan 29, 2013
Although the term "SSO" seems self-descriptive, the technical approaches to accomplishing it can get muddy for all but the identity security savvy IT manager. Make sure you are not putting your organization at risk.
Tags : 
ping, sign on, savvy it manageer, organization, indentity security, enterprise applications, data center
    
Ping Identity
Published By: SPSS     Published Date: Jun 30, 2009
This paper describes why and how Enterprise Feedback Management (EFM) is a critical component in solving the problem of enhancing customer-driven innovation and improving the predictive capabilities of the IT organization.
Tags : 
predictive enterprise, spss, enterprise feedback management, efm, customer-driven innovation, crm, customer relationship management, customer experience, consumer behavior, actionable insight, centralized system, feedback programs, push orientation, lifecycle-based approach, customer retention, churn rate, compliance, internal r&d, behavioral data, descriptive data
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This paper describes why and how Enterprise Feedback Management (EFM) is a critical component in solving the problem of enhancing customer-driven innovation and improving the predictive capabilities of the IT organization.
Tags : 
predictive enterprise, spss, enterprise feedback management, efm, customer-driven innovation, crm, customer relationship management, customer experience, consumer behavior, actionable insight, centralized system, feedback programs, push orientation, lifecycle-based approach, customer retention, churn rate, compliance, internal r&d, behavioral data, descriptive data
    
SPSS, Inc.
Published By: Opalis     Published Date: Nov 06, 2006
Virtualization adds additional layers of overhead and complexity, so cost savings on hardware are often offset by the increase in time and staff that are required to manage these environments. Learn more in this descriptive white paper.
Tags : 
virtualization, automation, virtual server, virtual machine, opalis, infrastructure, network performance, network performance management, servers
    
Opalis
Published By: SAS     Published Date: Sep 09, 2010
Collectively - representing more than 100 million unique visitors and more than a billion tweets per month - social media is a force too powerful to ignore. So how Do You Measure and Manage the Impact of Social Media?
Tags : 
sas, social media metrics, descriptive statistics, social network analysis, text analytics, measurement, test and measurement
    
SAS
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.
Tags : 
profits, analytics, credit, social, media, services, customer, consumers
    
FICO
Search      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.