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Best Practices in Hiring & Onboarding a Contingent Workforce

Published 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.
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best practices for hiring, onboarding, contigent workforce, icims, talent platform, capture talent, build relationships with candidates, human resource technology
    
iCims

Beyond Best Practices

Published By: KeyedIn Solutions     Published Date: Aug 20, 2012
How understanding the value in your business model helps de-risk technology-led change projects.
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keyedin, best practices, de-risk, techology, change, business technology
    
KeyedIn Solutions

Beyond the Hypervisor: Optimizing Virtualization Management

Published 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
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asg, cmdb, bsm, itil, bsm, bsp, metacmdb, virtualization, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce, bpm, workflow, itsm, critical application, cms
    
ASG Software Solutions

Big Data Beyond the Hype: A Guide to Conversations for Today’s Data Center

Published 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
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ibm, ibm connect, big data, big data zones model, data management, business technology
    
IBM

Big Data Exploration: Discover What’s Relevant to Your Business and Make Better Decisions

Published 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.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics, business metrics, data center
    
IBM

Big Data Multi-Cloud eBook

Published 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

Big Data vs. Real-Time Data

Published 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.
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datastax, big data, funding
    
Datastax

Big Data, Bad Data, Good Data - The Link Between Information Governance and Big Data Outcomes

Published 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.
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ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
    
IBM

Big Data, Bad Data, Good Data - The Link Between Information Governance and Big Data Outcomes

Published 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.
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ibm, idc, big data, data, analytics, information governance, knowledge management, enterprise applications, data management, data center
    
IBM

Big Data, Good Data, Bad Data - the link between information governance and Big Data outcomes

Published 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.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management, data management
    
IBM

Big Data, Good Data, Bad Data -- the Link Between Information Governance and Big Data Outcomes

Published 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.
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big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management, storage, data management
    
IBM

Big Data, Good Data, Bad Data-the link between information governance and Big Data outcomes

Published 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.
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big data, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
    
IBM

Blockchain benefits for electronics

Published 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
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ibm, blockchain, electronics
    
IBM

Bloor Research: CA Technologies Agile Testing Solutions

Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Over the last several years CA Technologies has acquired a number of companies and their respective products, to augment its continuous delivery suite and, especially, its DevTest portfolio. In particular, it has recently acquired Grid-Tools and Rally Software. Bloor Research has been asked to explore how Grid Tools’ products – now known as CA Test Data Manager (formerly Datamaker and CA Datafinder) and CA Agile Requirements Designer (formerly Agile Designer) expand and augment the capabilities provided by CA Service Virtualization (previously iTKO’s LISA) and CA Agile Central (formerly Rally), making the whole greater than the sum of the parts.
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technology, business value, ict investments, research services, consultancy projects, bloor research, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA

Blue Hill Research: IoT Analytics in Practice

Published By: SAS     Published Date: Jun 05, 2017
It’s there for the taking – real-time information about every physical operation of a business. All you need is a key: data analytics.  This paper is based on Blue Hill Research’s interviews of three organizations – a US-based oil and gas company, a US municipality and an international truck manufacturer – each of which heavily invested in IoT analytics. Focusing on the key themes and lessons learned from their initiatives, this paper will help business decision makers make informed investment decisions about the future of their own IoT analytics projects.
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SAS

Blueprints for Big Data Success

Published By: Pentaho     Published Date: Jan 16, 2015
If you’re considering a big data project, this whitepaper provides an overview of current common use cases for big data, from entry-level to more complex. You’ll get an in-depth look at some of the most common, including data warehouse optimization, streamlined data refinery, monetizing your data, and getting a 360 degree view of your customer. For each, you’ll discover why companies are investing in them, what the projects look like, and key project considerations, including tools and platforms.
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big data, nosql, hadoop, data integration, data delivery, data management, data center
    
Pentaho

Boost productivity with a high definition user workspace

Published By: Citrix Systems     Published Date: Feb 14, 2019
"Help your teams be even more productive. By giving them a secure, reliable connection with high-definition access to the apps and data they need, they'll be able to keep projects moving forward seamlessly — even across low bandwidth or high-latency networks. What's more, IT will be able to manage it all efficiently. Download our white paper. You'll discover how Citrix Workspace offers a high-definition (HDX) virtualized experience that rivals that of a local PC, and: - Decreases your demand for bandwidth - Increases your user density per hosting server - Supports voice, video, and display—even 3D professional graphics!"
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Citrix Systems

Boost productivity with a high definition user workspace

Published By: Citrix Systems     Published Date: Jun 04, 2019
Help your teams be even more productive. By giving them a secure, reliable connection with high-definition access to the apps and data they need, they'll be able to keep projects moving forward seamlessly — even across low bandwidth or high-latency networks. What's more, IT will be able to manage it all efficiently. Download our white paper. You'll discover how Citrix Workspace offers a high-definition (HDX) virtualized experience that rivals that of a local PC, and: Decreases your demand for bandwidth Increases your user density per hosting server Supports voice, video, and display—even 3D professional graphics!
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Citrix Systems

Boosting safety & efficiency across Toronto’s transportation network

Published By: HERE Technologies     Published Date: Jan 22, 2019
To improve safety and mobility across its 5,600km road network, the City of Toronto forged a partnered with HERE Technologies for the provision of traffic, incident, and historical traffic data. Access to this data allows the city authority to see exactly what’s happening on its roads and more easily and affectively run studies on improvement projects. This case study details how HERE Technologies enabled the City of Toronto’s transportation team to: Work smarter with comprehensive network coverage and accurate data to aid analysis Examine the impact of city projects without significant forward planning or expenditure Ensure travel volume models used to drive decision making are calibrated to represent real-world truths
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public sector, urbanization, traffic management
    
HERE Technologies

Break Away to Efficient, Responsive Project and Portfolio Management

Published By: CA Technologies     Published Date: Feb 13, 2015
Organizations are managing a rapidly escalating number of projects due in large part to the consumerization of IT. As a result, you face growing demands for mobile technology-based apps and services – on top of your backlog of already ongoing strategic initiatives. And when priorities keep changing, functioning effectively is difficult without Project and Portfolio Management (PPM) tools that support your need for additional oversight, better decision-making and more efficient use of resources.
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portfolio management, mobile technology, project management, consumerization, decision making
    
CA Technologies

Building a Data-Driven Pricing Strategy

Published By: WNS     Published Date: Jun 21, 2017
Pricing needs to support a brand’s overall marketing platform. But is that enough to assure consistency of message throughout the organization? Given the far-reaching influence a price position has on a brand, and how various departments need to be aligned to support that position, an argument can be made for treating pricing as a core competency within the organization. What does this mean in real terms? Pricing is a day-to-day concern for numerous departments throughout the organization. While marketing might use pricing tactics to grow market share, sales teams chase volume goals, and product development teams lose sleep over the price image each product projects.
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profitability, opportunity identification, monitoring and refinement, executive access, own price elasticity, cross price elasticities, price corridors
    
WNS

Building Master Data Management Teams

Published By: Zynapse     Published Date: Sep 10, 2010
A whitepaper by Ventana Research describing the role and importance of partnerships between business and IT in MDM strategy
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm, application integration, business intelligence, database development, data integration
    
Zynapse

Building the foundation for a successful innovation agenda

Published By: Oracle EMEA     Published Date: Jun 04, 2019
IT Teams are reporting satisfaction with their organisation’s performance, but the gaps between their aspirations to drive innovation and thei ractions to see it through tell a different story. Across the organisation, respondents are not clear which department owns innovation. On top of that, the organisation is burdened by too many projects, which creates a conflict between quality and quantity. As a result, globally and across all lines of business, the majority of innovation projects do not make it to market. This problem is exacerbated by a lack of collaboration and clear leadership. Fortunately, organisations are placing value on the customer experience, thereby helping to move the business forward. Unfortunately, this momentum is hindered by the lack of priority that the organisation places on talent. Overall, organisations are generating ideas but struggling to execute them due to poor process and lack of focus. As a result, there is a big gap between ambition and ability, a
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Oracle EMEA

Building your data and analytics strategy

Published By: SAS     Published Date: Mar 20, 2019
What’s on the chief data and analytics officer’s agenda? Defining and driving the data and analytics strategy for the entire organization. Ensuring information reliability. Empowering data-driven decisions across all lines of business. Wringing every last bit of value out of the data. And that’s just Monday. The challenges are many, but so are the opportunities. This e-book is full of resources to help you launch successful data analytics projects, improve data prep and go beyond conventional data governance. Read on to help your organization become truly data-driven with best practices from TDWI, see what an open approach to analytics did for Cox Automotive and Cleveland Clinic, and find out how the latest advances in AI are revolutionizing operations at Volvo Trucks and Mack Trucks.
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SAS

Business benefits, challenges and best practices of Material Master Data Management

Published By: Zynapse     Published Date: Sep 10, 2010
A 26-page information rich whitepaper on the business benefits, challenges and best practices of Material Master Data Management
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm, mmdm, material, application integration, business intelligence, database development
    
Zynapse
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