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Published By: Anaplan     Published Date: Nov 27, 2017
"The pressure on sales to meet and exceed ever-increasing revenue targets is higher than ever before. At the heart of this challenge lies a complex analytical and modeling problem that involves data spread across many rigid–and usually disconnected–systems, teams, and geographies. Leading companies handle this problem by focusing first on creating a sales performance plan that is data-driven and tied to business objectives. The research report conducted by Harvard Business Review provides you with how today's sales executives: • Overcome technology weaknesses to uncover sophisticated analytics • Change ingrained, cultural tendances of sales organizations • Adopt dynamic practices to respond to change quicker"
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Anaplan
Published By: Applix     Published Date: Mar 13, 2007
Financial and business managers today are seeking a higher level of analytical ability to manage business performance than ever before. But these kinds of analyses often lie beyond the reach of most of today's ERP systems.
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enterprise resource planning, erp, business analytics, analytical applications, sap, business management, applix
    
Applix
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed
    
Dassault Systèmes
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!
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application integration, desktop management, analytical applications, enterprise applications, application performance management, datasynapse, data synapse, application layer
    
DataSynapse
Published By: IBM     Published Date: Mar 05, 2014
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
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ibm, big data, data, big data platform, analytics, data sources, data complexity, data volume
    
IBM
Published By: IBM     Published Date: Apr 15, 2016
This report examines the current state of self-service analytics across all industries and company sizes. It also highlights the technology decisions and analytical performance of organizations that reported high levels of self-service in their analytical use base.
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ibm, analytics, self-service analytics, business analytics, analytical performance, business technology
    
IBM
Published By: IBM     Published Date: Jul 05, 2016
Today's data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges, while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance performance.
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ibm, datamart on demand, analytics, cloud, hybrid cloud, business insight, knowledge management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jun 04, 2018
"What would you do if you didn’t have to rely on disparate analytics solutions to meet the needs of business users while following the rules of IT? View this 'Charting Your Analytical Future' webinar to learn about a world of innovation and independence for users that does not limit the confidence and controls of IT. With the cognitive-guided self-service features available in IBM business analytics solutions, more users than ever before can get the answers they need. Next-generation business analytics capabilities make it possible to access relevant data, prepare it for analysis and understand performance. But it doesn’t stop there. Users can package the results in a visually-appealing format and share them throughout the organization. Don’t miss this opportunity to hear how you can: * Benefit from advanced analytics without the complexity * Operationalize insights and dashboards from a collection of trusted data sources * Tell your story with rich visualizations and geospati
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business analytics, analytics solutions
    
IBM
Published By: Lumension     Published Date: Jun 05, 2015
Microsoft's System Center Configuration Manager doesn't handle every aspect of Linux/UNIX and third-party application security. Here's how to augment and leverage SCCM to close the gaps.
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it security, data center, patch, software, application, analytical applications, database development, database security
    
Lumension
Published By: Oracle Commerce Cloud     Published Date: Feb 05, 2016
This best practice is enabled by analytical insights, social collaboration, and real-time access to information on any device, so you can better manage sales performance, motivate sales people and mentor best practices, while ensuring that incentive compensation plans supports your strategy.
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Oracle Commerce Cloud
Published By: Pure Storage     Published Date: Nov 02, 2017
The evolution of genomics in recent decades has seen the volume of sequencing rise dramatically as a result of lower costs. Massive growth in the quantities of data created by sequencing has greatly increased analytical challenges, and placed ever-increasing demands on compute and storage infrastructure. Researchers have leveraged high-performance computing environments and cluster computing to meet demands, but today even the fastest compute environments are constrained by the lagging performance of underlying storage.
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big data, simple, fast, multi dimensional performance, eliminate complexity, lower tco, innovation
    
Pure Storage
Published By: Qlik     Published Date: Aug 12, 2015
This Research Report examines the analytical strategies of organisations currently using data discovery tools and highlights their superior performance in user engagement.
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data discovery, data, data discovery tools, analytics, benefits of using data discovery, data collaboration, data proliferation, data engagement
    
Qlik
Published By: SAP     Published Date: May 11, 2012
As information flows more freely in the business world, decisions need to be made quicker and based on sturdier data.
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smb, business intelligence, small business, benchmarking, pace framework
    
SAP
Published By: Vertica     Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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business intelligence, vertica, aggregated data, olap, rolap, sql, query, data warehouse
    
Vertica
Published By: Vertica     Published Date: Oct 30, 2009
Independent research firm Knowledge Integrity Inc. examine two high performance computing technologies that are transitioning into the mainstream: high performance massively parallel analytical database management systems (ADBMS) and distributed parallel programming paradigms, such as MapReduce, (Hadoop, Pig, and HDFS, etc.). By providing an overview of both concepts and looking at how the two approaches can be used together, they conclude that combining a high performance batch programming and execution model with an high performance analytical database provides significant business benefits for a number of different types of applications.
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vertica, analytical computing, adbms, mapreduce, application management, data management, data mining
    
Vertica
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