intelligence systems

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By: SHL     Published Date: Dec 13, 2011
47 business outcome studies were conducted for clients across multiple industries for the 2011 Business Outcomes Studies Report. It demonstrates the value of online talent measurement solutions against metrics specific to the goals of each organization.
Tags : bos, business outcomes study, business outcomes, outcomes study, business study, business objectives, people intelligence, outcomes report
     SHL
By: Oracle Corporation     Published Date: May 11, 2012
This whitepaper provides an overview of Oracle's capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems integrate information and scale to analyze data.
Tags : oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs
     Oracle Corporation
By: Vertica     Published Date: Aug 16, 2010
The Vertica Analytic Database is the only database built from scratch to handle today's heavy business intelligence workloads. In customer benchmarks, Vertica has been shown to manage terabytes of data running on extraordinarily low-cost hardware and answers queries 50 to 200 times faster than competing row-oriented databases and specialized analytic hardware. This document summarizes the key aspects of Vertica's technology that enable such dramatic performance benefits, and compares the design of Vertica to other popular relational systems.
Tags : vertica, ec2, elastic, cloud computing, workflow, benchmark, projections, ad-hoc
     Vertica
By: IBM     Published Date: Jul 05, 2012
IBM Cognos BI offers complete perspectives on business intelligence and analytics through a single, unified workspace. Read the white paper and see how Power Systems runs Cognos BI applications-on distributed or consolidated servers-for greater business value as well as improved availability, virtualization, performance and energy efficiency.
Tags : ibm, technology, sap, sofrware, technology, migration factory, storage
     IBM
By: IBM     Published Date: Jul 25, 2012
As it has been the trend over the last decade, organizations must continue to deal with growing data storage requirements with the same or less resources. The growing adoption of storage-as-a-service, business intelligence, and big data results in ever more Service Level Agreements that are difficult to fulfill without IT administrators spending ever longer hours in the data center. Many organizations now expect their capital expense growth for storage to be unstoppable, and see operating expense levers - such as purchasing storage systems that are easy to manage - as the only way to control data storage-related costs.
Tags : infrastructure, technology, cloud, storage, virtualization, data management
     IBM
By: Flexera     Published Date: Feb 19, 2019
Flexera’s Software Vulnerability Research allows effective reduction of the attack surface for cybercriminals, providing access to verified vulnerability intelligence from Secunia Research covering all applications and systems across all platforms. It drives a prioritized remediation process by handling vulnerability workflows, tickets and alerts, and describes the steps to mitigate the risk of costly breaches. You Don’t Know What You Don’t Know It’s hard for enterprise security analysts to get reliable and trusted information about software vulnerabilities and then identify and filter that data for just the products that matter to their organization. Those challenges lead to wasted time and effort. Learn more.
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     Flexera
By: Sybase     Published Date: Oct 18, 2011
Download this document for an overview of some of these capabilities and the benefits customers can expect from moving to ASE 15.7.
Tags : enterprise mobility, enterprise mobility software, enterprise mobility solutions, enterprise mobility systems, capital markets, capital markets solutions, capital markets analytics, business intelligence
     Sybase
By: Sybase     Published Date: Oct 18, 2011
Watch this webinar for an overview of some of the benefits customers can expect from moving to ASE 15.7.
Tags : enterprise mobility, enterprise mobility software, enterprise mobility solutions, enterprise mobility systems, capital markets, capital markets solutions, capital markets analytics, business intelligence
     Sybase
By: Oco, Inc.     Published Date: Nov 12, 2008
Many companies have business intelligence (BI) tools and infrastructure that serve their business’ needs; however, certain functional departments, business units, or key business initiatives often don’t yet have the BI tools that they need in place.  There is a new approach to BI to address those pressing business needs that leverages the existing BI infrastructure and can deliver value to the business in weeks rather than months and at a fraction of the cost of a traditional BI solution. Learn how Complementary BI leverages Software-as-a-Service (SaaS) BI solutions to address targeted business needs in a way that complements in-house BI systems, leading to a win-win situation for business users and IT analytical tools to business users.
Tags : oco, business intelligence, software-as-a-service, roi, enterprise applications
     Oco, Inc.
By: IBM     Published Date: Nov 05, 2014
This white paper provides insights into the current threat landscape for the financial services industry. Information is based on cyber security event data collected by IBM, as well as data derived from responding to, and performing forensics on, cyber security incidents.
Tags : ibm, security, cyber security, business intelligence, financial services, protection, secure protection, business security
     IBM
By: IBM     Published Date: Nov 05, 2014
How security and business continuity can shape the reputation and value of your company.
Tags : ibm, security, cyber security, business intelligence, financial services, protection, secure protection, business security
     IBM
By: Oracle Social Cloud     Published Date: May 02, 2014
This white paper offers a brief overview of how organizations can best use social data by implementing a framework to integrate social data with other enterprise and public or curated data. This framework provides a platform for uncovering new insights that can be fed into business intelligence and customer experience management systems in near real-time to help marketing, sales, service, and commerce teams accelerate decision-making and create long-term, profitable customer relationships.
Tags : oracle, srm, social media, social data, digital marketing
     Oracle Social Cloud
By: SAP     Published Date: May 15, 2008
Read this white paper by Don Tapscott and explore the criteria best-in-class hospitals use for selecting business intelligence solutions. Companies that learn to effectively harness the information generated by their IT systems will enjoy substantial productivity improvements.
Tags : sap, business intelligence, healthcare sector, healthcare industry, bi applications, bi tools, inter-departmental processes
     SAP
By: SAP     Published Date: Jun 23, 2009
Discover the importance of data integration in your environment, and learn about the key challenges, benefits, and approaches to integrating data.
Tags : business intelligence, data integration, sap, businessobjects, data warehousing, sarbanes-oxley, data consolidation, data marts
     SAP
By: SAP     Published Date: Jun 27, 2009
Read this white paper by Don Tapscott and explore the criteria best-in-class retailers use for selecting business intelligence solutions. Companies that effectively harness the vast quantities of information that IT systems generate - both within the corporation and outside its walls - are poised to gain competitive advantage.
Tags : sap, business intelligence, it systems, price, promotion, markdown, businessobjects, rfid
     SAP
By: SAP     Published Date: Apr 07, 2011
Organizations of all sizes across nearly every industry sector are facing unprecedented macro-market forces that are driving them to seek new business intelligence (BI) tools to achieve their corporate objectives. Traditional BI systems generally require dedicated staff to generate meaningful analysis, but the analysis is still difficult to share. As a result, many departmental managers and end users have relied on simple spreadsheets, which require significant manual effort and provide limited insight.
Tags : bi on demand, saas analytics, sap, businessobjects, business data
     SAP
By: SAS     Published Date: Mar 06, 2018
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent and interactive manner. Without requiring the end user to write, understand or interpret code. “Sensitive” artificial intelligence enables: • More productive use of expanded (big, often unstructured) information sources • Intuitive man-machine interactions (no code-speak here!) • Adaptive, immersive experiences and environments As frequently touted on the nightly news, AI’s popularity is clear. Ho
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     SAS
By: IBM     Published Date: Feb 11, 2015
IBM solutions provide security intelligence across the enterprise with integrated threat analysis, real-time alerts, audit consolidation and compliance reporting to help protect against threats with a single view into the risks affecting mainframe and distributed systems.
Tags : security intelligence, mainframe environments, ibm solutions, integrated threat analysis, distributed systems, security
     IBM
By: Group M_IBM Q418     Published Date: Sep 10, 2018
Businesses are struggling with numerous variables to determine what their stance should be regarding artificial intelligence (AI) applications that deliver new insights using deep learning. The business opportunities are exceptionally promising. Not acting could potentially be a business disaster as competitors gain a wealth of previously unavailable data to grow their customer base. Most organizations are aware of the challenge, and their lines of business (LOBs), IT staff, data scientists, and developers are working to define an AI strategy. IDC believes that this emerging environment is to date still highly undefined, even as businesses must make critical decisions. Should businesses develop in-house or use VARs, systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some hybrid form? Can they use existing infrastructure, or do AI applications and deep learning require new servers with new capabilities? We believe that many of these questions can be
Tags : 
     Group M_IBM Q418
By: IBM     Published Date: Oct 03, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
Tags : data, enterprise resource planning, customer relationship management, business intelligence, data management systems
     IBM
By: IBM     Published Date: Jan 02, 2014
Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits. Business intelligence derived from sophisticated analytics has given large companies an edge for years. It helps them be more competitive, make information---based decisions faster and better, improves operational efficiencies, and boosts the bottom line. Midsize businesses are increasingly eager to reap similar benefits.
Tags : ibm, business analytics, midsize businesses, geeknet, business intelligence, customer volatility, market volatility, variety of data
     IBM
By: IBM     Published Date: Oct 06, 2014
Business Intelligence (BI) has become a mandatory part of every enterprise’s decision-making fabric. Unfortunately in many cases, with this rise in popularity, came a significant and disturbing complexity. Many BI environments began to have a myriad of moving parts: data warehouses and data marts deployed on multiple platforms and technologies – each requiring significant effort to ensure performance and support for the various needs and skill sets of the business resources using the environment. These convoluted systems became hard to manage or enhance with new requirements. To remain viable and sustainable, they must be simplified. Fortunately today, we have the ability to build simpler BI technical environments that still support the necessary business requirements but without the ensuing management complexity. This paper covers what is needed to simplify BI environments and the technologies that support this simplification.
Tags : data warehouses, bi environments, bi technologies, faster deployments
     IBM
By: Sun Microsystems     Published Date: Jan 11, 2010
In this free webcast, learn how business intelligence is changing-and how to best keep pace with it. The amount of available data is exploding; yet much of it is kept in separate silos, where it can't be combined to form meaningful insights. This webcast introduces the latest business intelligence technology that can help you discover your insight "needle" in a haystack of data.
Tags : sun, webcast, business intelligence, open source, data, data management, sun microsystems, databasing
     Sun Microsystems
By: Attivio     Published Date: Apr 07, 2010
In this paper, well known data management authority Mark Albala proposes replacing the reliance on data models as the fixed navigation scheme used for storing, reporting and analyzing information with a new unified information access capability that enables more agile, insightful and pro-active decisions.
Tags : attivio, post-discovery intelligent application, analytic information delivery, business intelligence, enterprise applications, executive information systems, eis
     Attivio
By: Oracle     Published Date: Feb 26, 2014
This white paper offers a brief overview of how organizations can make best use of social data by implementing a framework to integrate social data with other enterprise and public or curated data. This framework provides a platform for uncovering new insights that can be fed into business intelligence and customer-experience-management systems in near real time to help marketing, sales, service, and commerce teams accelerate decision-making and create long-term, profitable customer relationships.
Tags : oracle, srm, social, social data, enterprise, business intelligence, customer experience management, customer experience
     Oracle
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