business intelligence applications

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Published By: Vertica     Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.
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vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc
    
Vertica
Published By: Vertica     Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections, they had the need to query and analyze call detail record (CDR) databases that grow by millions of new CDRs every day.
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vertica, ec2, cdr, elastic, saas, dbms, sql, acid transactions
    
Vertica
Published By: Vertica     Published Date: Mar 15, 2010
In a world of growing data volumes and shrinking IT budgets, it is critical to think differently about the efficiency of your database and storage infrastructure. The Vertica Analytic Database is a high-performance, scalable and cost-effective solution that can bring dramatic savings in hardware, storage and operational costs.
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vertica, ec2, cdr, elastic, saas, cdr, cloud computing, data management
    
Vertica
Published By: Cognos     Published Date: Jun 19, 2007
Read how Cognos 8 Business Intelligence delivers complete reporting to all users with one business intelligence product—to make it simpler, faster, and easier to manage.
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business intelligence, workflow, report, dashboard, business activities, cognos, analytical apps, analytical applications
    
Cognos
Published 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.
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ibm, technology, sap, sofrware, technology, migration factory, storage
    
IBM
Published By: CDW     Published Date: Apr 04, 2016
Hewlett Packard Enterprise is helping protect organizations by building security and resiliency into the fabric of their enterprise, proactively detecting and responding to threats, and safeguarding continuity and compliance to effectively mitigate risk.
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security, business metrics, best practices, business intelligence, enterprise applications
    
CDW
Published By: CDW-HPE Servers     Published Date: Apr 07, 2016
Hewlett Packard Enterprise is helping protect organizations by building security and resiliency into the fabric of their enterprise, proactively detecting and responding to threats, and safeguarding continuity and compliance to effectively mitigate risk.
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security, business metrics, best practices, business intelligence, enterprise applications
    
CDW-HPE Servers
Published By: Oco, Inc.     Published Date: Apr 18, 2008
The business intelligence (BI) “boom” of the 1990s was something BIG: big projects designed to give big companies with big budgets a competitive advantage. And while BI delivered big returns for some companies, for others it was nothing but a big headache. An estimated 50% of all data warehousing projects failed to meet their goals. Why? Because many companies underestimated just how big an undertaking BI really was.
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oco, business intelligence, software as a service, saas, business intelligence, bi applications, business intelligence applications, roi
    
Oco, Inc.
Published 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.
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sap, business intelligence, healthcare sector, healthcare industry, bi applications, bi tools, inter-departmental processes
    
SAP
Published By: SAP     Published Date: Feb 10, 2011
Prompted by volatile markets and a troubled economy, the need to contain or reduce costs is key for small to medium size enterprises (SMEs). In the pursuit of cost reductions and in the struggle to sustain and grow revenue and profits it becomes more and more important to preserve the level of visibility that becomes elusive as SMEs grow in both size and complexity. Download this research now to learn more.
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sap, business intelligence, erp, sme, shipping, transportation, enterprise applications
    
SAP
Published By: SAP     Published Date: Jun 27, 2009
As corporations become more dependent on their ERP systems, they struggle to strike the right balance between regularly updating the software and minimizing cost and disruption to the business. This Report offers advice on how to develop and communicate a practical upgrade strategy and then build an effective process for maintaining your ERP asset.
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sap, business intelligence, erp, sme, shipping, transportation, enterprise applications, enterprise
    
SAP
Published By: SAP     Published Date: Aug 03, 2010
Today, the ERP reality is very different, and much more beneficial, for smaller firms. A variety of options have emerged to address and overcome the key concerns and obstacles of the past. Learn about the drivers that force these executives to address an ERP decision, the considerations involved in those decisions, and critical implementation factors once an ERP decision is made.
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sap, business intelligence, erp, sme, shipping, transportation, enterprise applications, smb
    
SAP
Published By: SAP     Published Date: Mar 24, 2011
In spite of the growth of virtual business activities performed via the World Wide Web, every business transaction or operation is performed at a physical place. And as handheld GPS devices drive a growing awareness of the concept of "location," people are increasingly looking for operational efficiencies, revenue growth, or more effective management as a result of geographic data services and location-based intelligence. In this white paper, David Loshin, president of Knowledge Integrity, Inc., introduces geographic data services (such as geocoding and proximity matching) and discusses how they are employed in both operational and analytical business applications. The paper also reviews analytical techniques applied across many types of organizations and examines a number of industry-specific usage scenarios.
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location-based bi, business value, geographic enhancement
    
SAP
Published By: SAP     Published Date: Apr 13, 2011
SAP® BusinessObjectsT Edge BI software is ideal for midsize companies wanting to improve business intelligence (BI) processes and get an edge on the competition. It can help you address just about any BI requirement - and leverage the applications, data sources, and platforms your company already uses.
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sap businessobjects edge bi, business intelligence processes, midsize companies, data management, data integration, data warehouse
    
SAP
Published By: SAP     Published Date: Nov 22, 2011
Analytics has moved from the specialty of a dedicated few to a necessity for broad groups of business professionals to do their job. This white paper considers the use of analytics and business intelligence in the banking industry for improving decision making and the benefits of prebuilt analytic applications for achieving this objective across many functions in a banking organization.
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idc, finance, technology, business, banking, analytics, decision making
    
SAP
Published By: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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SAS
Published By: IBM     Published Date: Oct 24, 2013
Learn how automating 'Last Mile of Finance' processes can help CFOs and their finance teams meet expanded reporting requirements--including XBRL tagging.
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ibm, cognos disclosure management, business intelligence, data collection, last mile of finance, account reconciliation, internal management, financial reporting
    
IBM
Published By: Group M_IBM Q2'19     Published Date: May 23, 2019
Defense and intelligence agencies want to leverage the data they collect so they can use artificial intelligence to enhance readiness – but most who run these programs don’t know how to get started and find it difficult to make the business case to their leadership. In this research report, created by GovLoop in partnership with IBM, which provides innovative technology solutions for national security and military intelligence, you’re going to learn where your peers stand—and some practical tips on how to get started—even if you think your data is “dirty” or not ready for advanced applications.
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Group M_IBM Q2'19
Published 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
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Group M_IBM Q418
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
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.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IDC strongly believes that the days of homogenous compute, in which a single architecture dominates all compute in the datacenter, are over. This truth has become increasingly evident as more and more businesses have started to launch artificial intelligence (AI) initiatives. Many of them are in an experimental stage with AI and a few have reached production readiness, but all of them are cycling unusually fast through infrastructure options to run their newly developed AI applications and services on.
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Group M_IBM Q2'19
Published By: Izenda     Published Date: Nov 20, 2014
If you’re responsible for delivery of a .NET application and your users have analytics requirements, you have some decisions to make. Watch Gigaom Research and our sponsor Izenda for “User Driven BI in the Cloud and Within Your Application,” a free recorded analyst webinar.
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izenda, business intelligence, saas, saas applications, bi applications, cloud applications
    
Izenda
Published By: IBM     Published Date: Apr 15, 2015
What if your organization could take advantage of emerging business opportunities by deploying new applications dramatically faster than you ever could before? What if you could increase the value of your existing application investments by leveraging them in the cloud—and easily move your apps across off-premises and on-premises cloud options? These capabilities are available today. With IBM® PureApplication® solutions, companies can build and use a cloud environment faster, easier and with less risk than traditional methods to better engage with their customers and partners in new ways. The result: increased competitiveness and improved profitability in a changing business landscape. This paper describes a simpler way forward to gain these advantages.
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ibm, business intelligence, applications, cloud computing, migration
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
Analytics tools are essential.
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business intelligence, data, compete, applications, predictive analytics
    
IBM
Published By: Focus     Published Date: Aug 04, 2011
Get a big picture look at Business Intelligence and learn about current trends in the BI market. Download your FREE Focus Experts Briefing now!
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focus bi, business intelligence applications, key issues, trends, smb, biq, business intelligence quotient
    
Focus
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