analytical data

Results 51 - 60 of 60Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Apr 25, 2017
Are you a marketing leader on the path to modernizing your marketing organization? Are you a marketing analyst championing analytical transformation in your campaigns? If you answered yes to either question, this e-book is for you. It offers a practical account of how to create a new marketing culture that adds value through data and analytics. Youll meet marketing leaders from Comerica, Lenovo, RCI, SAS and Visa and read how theyre implementing analytics, redefining marketing strategies and transforming their cultures. By sharing their perspectives, we hope to provide a new set of best practices to guide your analytical transformation and to help you reinvent your marketing organization for the digital age.
Tags : 
    
SAS
Published By: SAS     Published Date: Jun 05, 2017
If youre dealing with large amounts of data and complex problems, you might be ready to hire a data scientist. But what will you ask in the interview, and how will you evaluate the candidates? In this e-book, we provide 20 interview questions, so you can walk right into the interview knowing what to ask. We also profile three working data scientists, so you can better understand the backgrounds and habits of this new breed of analytical data expert. Whether youre hiring your first data scientist or your fifteenth, we hope this e-book helps you find the right candidate.
Tags : 
    
SAS
Published By: SAS     Published Date: Oct 18, 2017
Machine learning uses algorithms to build analytical models, helping computers learn from data. It can now be applied to huge quantities of data to create exciting new applications such as driverless cars. This paper, based on presentations by SAS Data Scientist Wayne Thompson, introduces key machine learning concepts and describes SAS solutions that enable data scientists and other analytical professionals to perform machine learning at scale. It tells how a SAS customer is using digital images and machine learning techniques to reduce defects in the semiconductor manufacturing process.
Tags : 
    
SAS
Published By: DataSynapse     Published Date: Feb 26, 2007
Today's business drives application use, but it is how these applications are deployed and managed that can deliver differentiation value to the business. Whether your challenge is one of scale, optimization, heterogeneity or complexity – learn how flexibility can be built in at the application layer.  Download this analyst bulletin today!
Tags : 
application integration, desktop management, analytical applications, enterprise applications, application performance management, datasynapse, data synapse, application layer
    
DataSynapse
Published By: WorldTelemetry, Inc.     Published Date: Mar 26, 2007
Business Intelligence Software are applications that build on existing data warehouses and provide analytical processing tools that allow users to more effectively analyze such data. This, in turn, permits businesses to more rapidly develop existing and new analyses and reports for improved decision-making power and information dissemination capacity.
Tags : 
analytical applications, business analytics, business metrics, business intelligence, enterprise software, bi software, world telemetry, worldtelemetry
    
WorldTelemetry, Inc.
Published By: IBM Software     Published Date: Oct 05, 2010
Read how Business analytics investments are more important than ever for business competitiveness and profitability and are becoming increasingly essential to maximize a company's return on investment.
Tags : 
ibm cognos, business analytics, business intelligence, bi investment, analytical methods, business planning, data analysis, business management, business metrics
    
IBM Software
Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server flexible integration capabilities, the information that drives business and strategic initiativesfrom big data and point-of- impact analytics to master data management and data warehousingis trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
Tags : 
    
IBM
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
Tags : 
    
TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
Tags : 
    
TIBCO Software
Published By: TIBCO Software     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes. Download now to read on.
Tags : 
    
TIBCO Software
Start   Previous    1 2 3     Next   End
Search Research Library      

Add Research

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