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By: GoodData     Published Date: Aug 02, 2013
Explore over 50 critical sales metrics in a live, checkable and drill able environment. View essential metrics for executive overview, pipeline management, product and regional analysis, and team management, as well as vivid visualizations of historical performance trends. Download this White Paper for more information!
Tags : sales metrics, how to forecast sales, sales analysis, sales analytics, crm analytics, salesforce reports, salesforce analytics, sales projections
     GoodData
By: HP Virtualization     Published Date: Mar 22, 2010
This white paper describes a set of best practices to deploy a 1,500-user virtualized Exchange 2007 environment using VMware® ESXT 3.5. Specifically, this project demonstrates how to configure and deploy the Exchange 2007 Mailbox, Hub Transport, and Client Access server roles onto individual VMware virtual machines (VMs), which in turn are deployed onto a single VMware ESX Server. The environment includes HP ProLiant c-Class Blade servers connected to an HP StorageWorks 4400 Enterprise Virtual Array (EVA4400) Disk Array.
Tags : exchange 2007, vmware, esx 3.5, virtualized exchange 2007
     HP Virtualization
By: Motorola     Published Date: Feb 06, 2008
This paper describes the key issues a multi-national enterprise needs to consider when determining the requirements for deploying a global wireless messaging project. It then outlines how the Good™ Mobile Messaging solution addresses those key issues. Also included are includes two case studies of recent Good Technology customer deployments.
Tags : motorola, motorola good, mobile messaging, wireless messaging, mobile applications, wireless applications, productivity, wireless
     Motorola
By: ForeSee Results     Published Date: Feb 05, 2007
To date it has been virtually impossible to find reliable and meaningful standard metrics for multi-channel customers that measure the influence of the online shopping experience on total revenues. Learn more about the Multi-Channel Value index (MCVI), a strategic metric developed by ForeSee Results that projects the contribution of the website to a multi-channel retailer's overall sales through a calculation based on the ACSI methodology.
Tags : website analytics, conversion analysis, brick-and-mortar, multi-channel, foresee, foresee results, market research, usability
     ForeSee Results
By: IBM     Published Date: Sep 02, 2009
This webcast presents the IBM® Rational® HarmonyT for Systems Engineering process for the model-based systems development.
Tags : model-based systems engineering, ibm, ibm rational harmonyt, model-based systems development, uml and sysml languages, requirements analysis, design synthesis, interface definition
     IBM
By: Host Analytics     Published Date: Jun 05, 2017
EXPERT GUIDE TO CREATING A ROLLING FORECAST FRAMEWORK Ten Best Practices For Streamlining Your Planning Processes Gaining a crystal ball look into your company’s future starts by creating a rolling forecast framework built on driver and project-based planning. Download this guide to discover the actionable steps to: -Identifying the dynamics of revenue and the related drivers. -Generating your financial objectives for rolling forecasts. -Replacing Excel with the functionality to accommodate your budget and strategic management. Learn how to transform your planning processes with the full benefits of rolling forecasts in this white paper.
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     Host Analytics
By: iCims     Published Date: Sep 04, 2013
Contingent workers are those who do not have an implicit or explicit contract for ongoing employment. According to the Bureau of Labor Statistics, contingent labor accounts for over 26% of the US labor force and expects continual growth beyond 2020. Contingent workers provide a variety of benefits to an organization: Easily add headcount to projects that need temporary assistance, have many workers with specific skills at your disposal.
Tags : best practices for hiring, onboarding, contigent workforce, icims, talent platform, capture talent, build relationships with candidates
     iCims
By: GoodData     Published Date: Sep 17, 2013
In most cases, starting a BI initiative that’s not clearly linked to specific KPIs or business goals or aimed at addressing a specific pain point is sowing the seeds of eventual project failure. This is why it’s crucial to have the processes and mechanisms in place to establish what the desired outcome would be and to start from there.
Tags : gooddata, business intelligence, data. better data, bigger ideas
     GoodData
By: Logicalis     Published Date: Mar 12, 2014
Steps you can take for a successful network rationalization exercise, and how to make a business case for the project.
Tags : logicalis, modular computing, data optimization, cloud computing, network rationalization
     Logicalis
By: KeyedIn Solutions     Published Date: Aug 20, 2012
How understanding the value in your business model helps de-risk technology-led change projects.
Tags : keyedin, best practices, de-risk, techology, change
     KeyedIn Solutions
By: IBM     Published Date: Apr 24, 2012
Get the latest research on how the new lease accounting standard affects your company. Find out what 179 senior executives think about the new lease accounting standard and how it will impact their companies. Read this comprehensive analyst report to learn more.
Tags : ibm, lease, lease accounting standard, project management, operations
     IBM
By: ASG Software Solutions     Published Date: Sep 28, 2009
Virtualization is now mainstream. Enterprises continue to heavily invest in virtualization projects and while short term hardware and cost saving benefits are being achieved, few enterprises achieve anywhere close to the full potential of virtualization as they struggle with new problems like assuring performance and availability, preventing VM sprawl, and maximizing resource utilization
Tags : asg, cmdb, bsm, itil, bsm, bsp, metacmdb, virtualization
     ASG Software Solutions
By: IBM     Published Date: Apr 01, 2016
Read the eBook to: 1) Expand what you know about Big Data; 2) Learn about the Big Data Zones Model that brings a new approach to managing data, faster to deploy, faster to insights and with less risk; 3) Gain confidence in your Big Data projects and learn about the importance of governance in a Big Data world
Tags : ibm, ibm connect, big data, big data zones model, data management
     IBM
By: IBM     Published Date: Jan 14, 2015
Big data has been big news in recent years. Organizations recognize that they must now begin to focus on using big data technologies to solve business problems. The pressure is on for organizations to move past the discussion phase toward well-planned projects.
Tags : big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics
     IBM
By: IBM     Published Date: Apr 18, 2017
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
Tags : data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
     IBM
By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
Tags : big data, integration, architecture, database, data warehousing, operations management
     TIBCO
By: BMC ASEAN     Published Date: Dec 18, 2018
Big data projects often entail moving data between multiple cloud and legacy on-premise environments. A typical scenario involves moving data from a cloud-based source to a cloud-based normalization application, to an on-premise system for consolidation with other data, and then through various cloud and on-premise applications that analyze the data. Processing and analysis turn the disparate data into business insights delivered though dashboards, reports, and data warehouses - often using cloud-based apps. The workflows that take data from ingestion to delivery are highly complex and have numerous dependencies along the way. Speed, reliability, and scalability are crucial. So, although data scientists and engineers may do things manually during proof of concept, manual processes don't scale.
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     BMC ASEAN
By: Datastax     Published Date: Aug 23, 2017
About 10 years ago big data was quickly becoming the next big thing. It surged in popularity, swooning into the tech world's collective consciousness and spawning endless start-ups, thought pieces, and investment funding, and big data's rise in the startup world does not seem to be slowing down. But something's been happening lately: big data projects have been failing, or have been sitting on a shelf somewhere and not delivering on their promises. Why? To answer this question, we need to look at big data's defining characteristic - or make that characteristics, plural - or what is commonly known as 'the 3Vs": volume, variety and velocity.
Tags : datastax, big data, funding
     Datastax
By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : ibm, idc, big data, data, analytics, information governance
     IBM
By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : ibm, idc, big data, data, analytics, information governance
     IBM
By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : big data, data warehouse, data center, information governance, analytics, big data analytics, business management
     IBM
By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : big data, analytics, unstructured content, enterprise information, ibm, security, storage
     IBM
By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : big data, ibm, big data outcomes, information governance, big data analytics
     IBM
By: BizCarta Australia     Published Date: Nov 02, 2010
BizCarta assisted Country Energy in deploying LANDesk Management Suite to identify which Microsoft applications were running. That project identified and subsequently removed unused software valued at $1,671,000.
Tags : landesk, software license monitoring, software asset management, it asset management, desktop management, service desk management
     BizCarta Australia
By: IBM     Published Date: Apr 18, 2018
How IBM can help As one of the world’s leading research organizations, and one of the world’s top contributors to open source projects, IBM is committed to fostering the collaborative effort required to transform how people, governments and businesses transact and interact. IBM provides clients the blockchain technology fabric, consulting and systems integration capabilities to design and rapidly adopt distributed ledgers, digital identity and blockchain solutions. IBM helps clients leverage the global scale, business domain expertise and deep cloud integration experience required for the application of these technologies. Learn more at ibm.com/blockchain. The IBM Global Electronics practice uniquely combines IBM and partner services, hardware, software and research into integrated solutions that can help you deliver innovation, create differentiated customer experiences and optimize your global operations. Please visit ibm.com/electronics
Tags : ibm, blockchain, electronics
     IBM
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