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: 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: 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: Cleversafe     Published Date: Sep 23, 2014

Capturing and analyzing information are only part of the big data equation. Businesses must store ingested data in a format that is accessible and resilient, yet still economical. Join Gigaom Research and our sponsor Cleversafe for “Big Storage for Big Data: The Right Storage Tools for the Job,” a free analyst webinar on Tuesday, September 23, 2014 at 10:00 a.m. PT.

Tags : cleversafe, big data, data analytics, data storage, storage, data management, storage architecture, small business networks
    
By: IBM     Published Date: Sep 02, 2014

Advanced analytics strategies yield the greatest benefits in terms of improving patient and business outcomes when applied across the entire healthcare ecosystem. But the challenge of collaborating across organizational boundaries in order to share information and insights is daunting to many stakeholders.

Tags : ibm, business analytics, analytics, data analytics, collaboration, business intelligence, analytical applications
    
By: IBM     Published Date: Sep 02, 2014

To get timely and trusted insights from Risk Analytics while minimizing IT risk and improving time-to-value, IBM is delivering an Application Ready Solution for Algorithmics. This integrated offering, anchored on a validated scalable high-performance clustered reference architecture, delivers the timely risk insights firms need to lower Tier 1 capital.

Tags : ibm, risk management, risk analytics, data analytics, finance reports, business analytics, business activity monitoring, business management
    
By: IBM     Published Date: Sep 02, 2014

Research teams using next-generation sequencing (NGS) technologies face the daunting challenge of supporting compute-intensive analysis methods against petabytes of data while simultaneously keeping pace with rapidly evolving algorithmic best practices. Learn how you can benefit from the turnkey IBM Application Ready Solution for Accelrys with supporting benchmark data.

Tags : ibm, data, data analytics, analytics, business analytics, ngs, next generation sequencing, best practices
    
By: TIBCO     Published Date: Aug 18, 2014

Digitalization—the process of exploiting digital information to maximize business success—has increased the value of your data to the point where it is arguably your most important asset. This paper explains why mastery will not be possible with merely adequate integration technology.

Tags : tibco, integration, data integration, business integration, business intelligence, intelligence, analytics, digitalization
    
By: Forte Wares     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: 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: 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
    
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