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Results 1 - 25 of 146Sort Results By: Published Date | Title | Company Name
By: LogMyCalls     Published Date: Oct 20, 2014
We analyzed millions of calls in Q1, and there's gold to be mined out of every customer conversation, data that will improve marketing.
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call tracking, conversation analytics, marketing analytics, business intelligence, big data, call intelligence, marketing conversion rate, prove roi
    
LogMyCalls
By: TIBCO     Published Date: Oct 28, 2013
The right integration platform lets you extract more value from your ERP system - including improved business performance, increased organizational awareness, and better coordination of processes.
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tibco, erp, integration, value, data management
    
TIBCO
By: TIBCO     Published Date: Nov 11, 2013
The right integration platform lets you extract more value from your ERP system - including improved business performance, increased organizational awareness, and better coordination of processes.
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erp, process coordination, tibco, mobile strategy, integration, technology, best practices, inefficient integration, platform, business strategy, mobile data systems
    
TIBCO
By: Concur     Published Date: Apr 17, 2013
In this survey report analysts examine electronic invoicing, imaging and data extraction, and automated workflow solutions at US-based enterprises. The analysis is based on over 300 survey results and more than nine years of research findings.
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ap automation, accounts payable, invoice management, invoice automation, invoicing, ap report, ap study
    
Concur
By: Cisco     Published Date: Jun 21, 2016
Adversaries and defenders are both developing technologies and tactics that are growing in sophistication. For their part, bad actors are building strong back-end infrastructures with which to launch and support their campaigns. Online criminals are refining their techniques for extracting money from victims and for evading detection even as they continue to steal data and intellectual property.
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Cisco
By: LogMyCalls     Published Date: Oct 20, 2014
Every customer phone conversation has data that can be used to improve marketing and sales. Here are 45 data points we can extract by automcatically analyzing phone conversations.
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call tracking, conversation analytics, marketing analytics, marketing automation, call intelligence, marketing conversion rate, prove roi
    
LogMyCalls
By: Teradata     Published Date: Jan 16, 2015
This Neil Raden paper describes the current need for data warehousing, why SAP® BW is an incomplete choice and how Teradata Analytics for SAP® Solutions is a superior option. Download now!
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teradata, sap solutions, data warehouse, extracted data, data management
    
Teradata
By: SAP     Published Date: Feb 21, 2008
Many significant business initiatives and large IT projects depend upon a successful data migration. Your goal is to minimize as much risk as possible through effective planning and scoping. This paper will provide insight into what issues are unique to data migration projects and offer advice on how to best approach them.
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sap, data architect, data migration, business objects, information management software, bloor, sap r/3, application, enterprise applications, data quality management, master data management, mdm, extraction, transformation load, etl, migration, configuration management, database development, data integration, data center design and management
    
SAP
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
The data maturity curve As companies invest more and more in data access and organization, business leaders seek ways to extract more business value from their organization’s data. 92 percent of business leaders say that to compete in the future, their organization must be able to exploit information much more quickly than it can today.1 Chief Information Officers (CIO) need solutions that will allow them to evolve their organization’s approach to data and drive real value with strategic decisions. This journey can be depicted in a data maturity curve.
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Group M_IBM Q2'19
By: Pure Storage     Published Date: Nov 02, 2017
To stay relevant in today’s competitive, digitally disruptive market, and to stay ahead of your competition, you have to do more than just store, extract, and analyze your data — you have to draw the true business value out of it. Fail to evolve, and your organization might be left behind as companies ramp up and speed up their competitive, decision-making environments. This means deploying cost-effective, energy-efficient solutions that allow you to quickly mine and analyze your data for valuable information, patterns, and trends, which in turn can enable you to make faster ad-hoc decisions, reduce risk, and drive innovation.
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storage solutions, pure storage, oracle, analytics, business value, innovation, risk reduction
    
Pure Storage
By: Inovis     Published Date: Aug 06, 2007
No enterprise is an island. Goods and services flow in from suppliers. When you include suppliers of wares for raw material extractors, along with recyclers that turn consumer and commercial waste into new raw materials and finished goods, it is a supply chain with no beginning and no end.
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supply chain management, scm, supply chain, supplier, vendor management, vendor selection, communication, collaboration, manufacturing, business process management, business process automation, business process, bpm, bpa, van, vans, edi, electronic data, roi, inovis
    
Inovis
By: IBM     Published Date: May 29, 2015
Learn how innovative communications service providers are extracting value from uncertain data through this whitepaper!
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, telecommunications, business intelligence, data mining
    
IBM
By: IBM     Published Date: Sep 27, 2013
Analytics: The Real-World Use of Big Data - How innovative enterprises in the midmarket extract value from uncertain data This study highlights the phases of the big data journey, the objectives and challenges of midsize organizations taking the journey, and the current state of the technology that they are using to drive results. It also offers a pragmatic course of action for midsize companies to take as they dive into this new era of computing.
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ibm, big data, big data solutions, midmarket businesses, analytics, it management, data management
    
IBM
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, data generation, data management, storage, acceleration, business intelligence, data warehouse, analytical applications, data mining, data warehousing
    
IBM
By: MuleSoft     Published Date: Jan 25, 2016
IT used to be so simple. Companies owned their own technology equipment and purchased enterprise licenses for many of the applications anybody in the organization might care to use. But then the cloud emerged, and mobile, and social media, and IoT; the world of IT has never been the same. Today's businesses are software-driven enterprises with technology capability distributed throughout the company, utilizing countless third-party cloud-based applications. This new organization requires an cultural shift in the IT organization. Read this whitepaper to learn: -How businesses can reorganize themselves into lightweight, agile, modular businesses able to respond to innovations in SaaS, mobile, and analytics -How to build a technological architecture that can accommodate new technology yet still extract value from on-premises systems -The advantages of an API-led connected architecture vs. old SOA approaches
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technology, enterprise applications, best practices, business optimization, technology architecture, service oriented architecture, content management system, project management
    
MuleSoft
By: IBM     Published Date: Jun 25, 2018
Recognizing the shift to a subscription business model required real-time customer support, Autodesk turned to IBM technology to enhance its customer experience. Using Watson Assistant, Autodesk developed a virtual agent to interact with customers, applying natural language processing (NLP) and deep learning techniques to recognize and extract the intent, context and meaning behind inquiries. Quickly resolving easy customer concerns, Watson Assistant is supporting 100,000 conversations per month, with response times 99% faster than before and leading to a 10-point increase in customer satisfaction levels for Autodesk. Find out how Watson Assistant can accelerate your customer support experience. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
By: Network Automation     Published Date: Dec 10, 2008
IST uses Fourth Shift software by SoftBrands to manage its operations in Big Flats, New York (headquarters) and Buffalo, New York, as well as the United Kingdom, Canada and France. For Fourth Shift to function correctly for IST, a series of process must be run each night on several servers. These processes include batch runs, data extracts, and system backup.
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network automation, process automation, automate, automatic interaction, networking, it management, data management, network management, network performance management
    
Network Automation
By: Tidal Software     Published Date: Sep 03, 2008
Businesses can gain greater value from their BI investment by improving the way in which data flows to the BI system are managed. Many problems result when the ETL process is handled by a patchwork of scripting, custom coding, and various built-in schedulers that are part of existing ETL solutions, because these systems do not provide end-to-end execution, monitoring, and control of the ETL process.
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business intelligence, data warehousing, data management, data integration, etl, extract–transform-load, bi operations, bi management, informatica, cognos, ibm datastage, sas, business objects, crystal enterprise, tidal, tidal software, application integration, analytical applications
    
Tidal Software
By: Infoblox     Published Date: Jun 18, 2015
In this whitepaper we'll explore some of these problems inherent in virtualized datacenters and cloud environments, specifically enterprise private clouds, and we'll discuss solutions that can take you down the last mile of the automation journey so that your business can fully achieve agility and extract maximum value from its private-cloud investments.
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infoblox, private cloud, network provisioning, virtualized datacenters, virtualization, cloud enviornments
    
Infoblox
By: Cisco EMEA     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA
By: TIBCO     Published Date: Apr 08, 2013
As the volume of available data increases, and we have new ways of extracting insights from data, it is valuable to take a step back and examine the impact of these insights on integration and company actions. Join us for this webinar and learn how you can use big data in your organization.
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big data, integration, architecture, database, data warehousing, operations management, application performance management, best practices, business activity monitoring, business analytics, business integration, business intelligence, business management, business metrics
    
TIBCO
By: IBM     Published Date: May 01, 2017
Today's mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it. The tactical challenge of keeping infrastructure and business data secure while keeping workers productive each day takes precedence. And even then, IT managers can find themselves choosing between security and productivity as they decide how best to spend limited time and resources. This whitepaper will guide you how to get deep visibility into relevant endpoint data within the platform, granting actionable intelligence that can have a measurable impact on your organization.
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it staff, applications, business data, data security, it managers, endpoint data, device, platforms
    
IBM
By: Group M_IBM Q119     Published Date: Dec 20, 2018
Today’s mobile landscape is very much a moving target. IT managers must keep track of all types of devices and platforms, hundreds if not thousands of applications and a threat landscape that changes by the minute. In this ever-changing environment, IT staff often find themselves drowning in mobile minutiae, overwhelmed by mountains of endpoint data but unable to extract meaning from it or make business decisions based on it.
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Group M_IBM Q119
By: Hitachi Vantara     Published Date: Mar 20, 2018
Digital transformation is disrupting traditional, tried-and-true business process and leaving many enterprises scrambling for alternatives. Although the customer remains king for business success, data is quickly becoming an organization’s most strategic asset for reaching, interacting with and retaining customers. With ransomware attacks on the rise, a strict regulatory environment, and nimble, competitive upstarts entering the market, protecting and extracting value from your most strategic asset is a business imperative — and a formidable challenge.
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Hitachi Vantara
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