Analytical Applications White Papers

Analytical Applications are software that is designed specifically for analysis and development of a particular environment or object.
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By: IBM     Published Date: Jun 17, 2014

Key findings from an industry roundtable on enterprise risk transformation in Canadian banking.

Tags : ibm, risk enabled enterprise, enterprise risk management, erm, big data, data aggregation, corporate governance, business analytics
    
By: HP     Published Date: Jun 09, 2014

HP Records Managed Services - An HP Information Governance Service.

Tags : record management, records managed services, information governance service, storage management, analytical applications, data protection
    
By: Workday     Published Date: Feb 20, 2014

Discover how Workday mobility applications can have positive impact on your business

Tags : workday mobility, mobilisation, mobile platforms, mobility applications, application integration, analytical applications, business intelligence, cloud computing
    
By: Workday     Published Date: Feb 20, 2014

Discover how Workday Big Data Analytics can accelerate the time from insight to action

Tags : data analytics, business insight, workday, big data, big data analytics, data integration, data sources, application integration
    
By: Workday     Published Date: Feb 20, 2014

Receive and insight into how Workday Big Data Analytics can provide you with an invaluable insight

Tags : workday, big data analytics, data, analytics, insight, application integration, analytical applications, business intelligence
    
By: IBM     Published Date: Jan 09, 2014

Watson’s success in the Jeopardy! challenge was inspiring, but the business impact of optimized systems design is just beginning. With smarter analytics solutions optimized on IBM Power Systems, you can put Watson's technology to work and ensure that you

Tags : power 7, big data, watson, decision making, power systems, virtualization, spss collaboration, ibm
    
By: IBM     Published Date: Jul 22, 2014

Listen to an interactive discussion (socialcast) with a select group of IBM Data Scientists that goes beyond the tools and tackles new ways your business can use data.

Tags : ibm, it operations analytics, it operations, analytical applications, data, big data, it app infrastructure, cloud
    
By: berkinozmen     Published Date: Jun 22, 2014

White paper introducing the next generation BI concept - "Pro-active Reporting", making Big Data more accessible and digestible for the business for bottom-line impact.

Tags : big data, business intelligence, analytical applications, data mining
    
By: SAP     Published Date: May 18, 2014

From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

Forrester conducted in-depth surveys with 330 global BI decision-makers and found strong correlations between overall company success and adoption of innovative BI, analytics, and big data tools. In this paper, you will learn what separates the leading companies from the rest when it comes to exploiting innovative technologies in BI and analytics, and what steps you can take to either stay a leader or join their ranks.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

This white paper, produced in collaboration with SAP, provides insight into executive perception of real-time business operations in North America. It is a companion paper to Real-time Business: Playing to win in the new global marketplace, published in May 2011, and to a series of papers on real-time business in Europe, Asia-Pacific and Latin America.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: SAP     Published Date: May 18, 2014

Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.

Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
By: Interactive Intelligence     Published Date: Apr 23, 2014

In a contact center environment, real-time analytics provide the live information needed to respond to difficult situations before a customer, a sale, or an opportunity is lost. Scott Bakken and David Patchen from MainTrax and Brandon Rowe from Interactive Intelligence discuss how real-time analytics help your business operate at optimal levels and experience increased growth and reduced costs.

Tags : interactive intelligence, real time speech analytics, contact centers, data centers, real time analytics, productivity, revenue, retention rates
    
By: IBM     Published Date: Apr 18, 2014

For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it – not to mention excellent qualities of service. Carl Olofson, an IDC analyst looks, at the role of the mainframe in relation to big data, how it has become a hub for modern day analytics, its ability to integrate information from other sources to enhance business decisions and how it is positioned for the future. Download this paper and learn.

Tags : ibm, mainframe, platform, big data, analytics, big data and analytics, bda, big data technology
    
By: Adobe     Published Date: Apr 17, 2014

Discover new opportunities for maturing your data practices—and building your business results. You’ll learn how to move beyond mere web analytics to build a more comprehensive marketing analytics approach that includes mobile, social, and offline channels. And you’ll see how your current analytics capabilities compare to those of similar organizations and where you have opportunities for improvement.

Tags : adobe, analytics, marketing, data collection, data automation, marketing automation, web analytics, marketing analytics
    
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.

Tags : sas, predictive analytics, technology platform, solution, operationalizing, production systems, best practices, business analytics
    
By: SAS     Published Date: Mar 14, 2014

This Q&A with Tom Davenport, Director of Research for the International Institute for Analytics (IIA), will help you understand how analytics is evolving, where you need to go, and how to get there.

Tags : sas, data categorization, retrieval and quality, data visualization, data governance program, data management, data quality, business objectives
    
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