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Results 326 - 350 of 746Sort Results By: Published Date | Title | Company Name
By: HireVue     Published Date: May 16, 2018
OVERVIEW Unilever is a global player in the fast-moving consumer goods (FMCG) sector, with nearly a third of the world’s population using its products every day. The company has more than 169,000 employees working around the world, and its leaders estimate that within three years, as many as 60 percent of those employees will be Millennials. Critical to Unilever’s ongoing success will be its ability to attract these recent college graduates. For its signature Future Leaders Programme, the company wanted its recruitment efforts to get ahead of the curve. The existing process was rooted in paper-based applications, phone interviews with recruiters, and manual assessment tests. It took four to six months to sift through 250,000 applications and ultimately hire 800 individuals. The company sought to radically transform this process using online gamification, digitally recorded interviews, and science-based assessment tests and data analysis. In this case study, we: • Explain the chal
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HireVue
By: HireVue     Published Date: May 18, 2018
Recruiting leaders know that if their companies aren’t sourcing and hiring for diversity they are missing valuable talent and experience. This is one of the reasons diversity has been a focus area for improvement in recent years. Many organizations start with training. While diversity training is important for creating awareness, it doesn’t a¬ffect human behavior. A 2017 meta-analysis of studies investigating bias training confirmed this. Formal training can reduce unconscious bias, but it does not change behavior.13 This has put talent leaders in a di cult position. The way to make real progress on diversity hiring initiatives is by using systematic processes that apply data-driven decision making. With structured interviews and AI, you can overcome unconscious bias and make hiring more equitable for all candidates.
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HireVue
By: TIBCO Software     Published Date: Sep 12, 2018
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield. Read about our top data science best practices for becoming a smart manufacturer.
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inter-company connectivity, real-time tracking, automate analytic models, efficient analytics, collaboration
    
TIBCO Software
By: TIBCO Software     Published Date: Sep 12, 2018
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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internet of things, connected ecosystem, big data, operations monitoring, process control, analytical techniques
    
TIBCO Software
By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on “stale data” for business decisions. With Oracle’s Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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Oracle
By: Oracle     Published Date: Oct 20, 2017
This document discusses how to secure applications using Oracle Solaris 11 security and the hardware-assisted cryptography capabilities of Oracle’s SPARC servers. This document explores the end-to-end application security scenarios, technical prerequisites, configuration, deployment, and verification guidelines for multitier application deployments running on Oracle Solaris 11–based SPARC servers. In addition, this document covers the Oracle hardware-assisted cryptographic acceleration of the SPARC processor, a key feature when performance and data protection are deemed critical. The derived security benefits can be leveraged into a variety of solutions including application software, middleware, and infrastructure software.
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Oracle
By: Oracle     Published Date: Oct 20, 2017
Traditional backup systems fail to meet the needs of modern organizations by focusing on backup, not recovery. They treat databases as generic files to be copied, rather than as transactional workloads with specific data integrity, consistency, performance, and availability requirements. Additionally, highly regulated industries, such as financial services, are subject to ever?increasing regulatory mandates that require stringent protection against data breaches, data loss, malware, ransomware, and other risks. These risks require fiduciary?class data recovery to eliminate data loss exposure and ensure data integrity and compliance
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Oracle
By: Adobe     Published Date: Jul 15, 2019
With an ever-growing array of customer interactions, especially digital, businesses are rapidly looking to gain competitive advantage by using data and insights at scale to create and activate 360-degree profiles of their customers to deliver a better experience. In a rush to accelerate digital growth and improve their business strategies, many global enterprises have built soiled, redundant technology environments, resulting in inaccurate, or worse, conflicting views of their customer's brand interactions. For example, Forrester's research reveals that 90% of enterprises use multiple analytics tools.
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Adobe
By: Eloqua     Published Date: Jan 13, 2012
B2B purchasing in a Web 2.0 world has become an interactive process driven by customers. Learn how using clickstream data to target buyers' motivations allows marketers to trigger automated processes like lead scoring and nurturing to drive better leads for sales.
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digital body language, sales lead management, lead management system, lead nurturing, b2b social media, b2b software marketing, marketing white paper, lead generation
    
Eloqua
By: FICO - APAC     Published Date: Jul 10, 2017
To Learn more, read this IndustryWeek eBook, sponsored by FICO, includes four articles about how a variety of manufacturers are using advanced analytics to "get ahead" in areas such as Big Data, supply chain and logistics, and other specific applications.
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FICO - APAC
By: SAP Inc.     Published Date: Jun 16, 2009
This paper reviews the current status of MDM, and offers suggestions for planning, building and deploying an MDM environment.
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sap, master data management, mdm, business intelligence, data warehousing, sor, system of record, enterprise mdm
    
SAP Inc.
By: Intacct Corporation     Published Date: Jan 02, 2014
Learn the 4 essential features to bring your accounting system out of the Stone Age. Modern businesses are, by their nature, complex. But if you're using an accounting system that forces you to struggle with manual processes—limiting your flexibility and draining your productivity—you might as well be stuck in the Stone Age. But there's great news! It's 2014, and there's never been a better time to make the move to a modern accounting system. What features should you look for? Download our new checklist, "Essential Features of a Modern Accounting System," to learn how the right accounting system can help you: • Automate financial processes and optimize workflows to fit your organization's business processes. • Access real-time data to drive business insight and improve decision making. • Lower IT costs and reduce technology risks with a best-in-class cloud architecture.
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accounting, modernizing account system, automate financial processes, business processes, real-time data access, best-in-class cloud architecture, business analytics, business intelligence
    
Intacct Corporation
By: Pentaho     Published Date: Mar 08, 2016
If you’re evaluating big data integration platforms, you know that with the increasing number of tools and technologies out there, it can be difficult to separate meaningful information from the hype, and identify the right technology to solve your unique big data problem. This analyst research provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals. Read the Buyer’s Guide to Big Data Integration by CITO Research to learn: • What tools are most useful for working with Big Data, Hadoop, and existing transactional databases • How to create an effective “data supply chain” • How to succeed with complex data on-boarding using automation for more reliable data ingestion • The best ways to connect, transport, and transform data for data exploration, analytics and compliance
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data, buyer guide, integration, technology, platform, research, enterprise applications
    
Pentaho
By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, best practices, hadoop, next generation analytics, platforms, infrastructure, data, analytics in organizations
    
Pentaho
By: Sybase     Published Date: Dec 01, 2011
This e-Brochure shows why Sybase IQ is the essential foundation for advanced analytics.
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analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
    
Sybase
By: Sybase     Published Date: Dec 01, 2011
Sybase IQ can give you smarter answers now. See how in this free webinar from Forester Research
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analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
    
Sybase
By: Sybase     Published Date: Dec 01, 2011
Learn why Sybase IQ is purpose-built for predictive analytics.
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analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
    
Sybase
By: Sybase     Published Date: Dec 01, 2011
This paper explores how the right data management architecture can overcome these challenges.
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analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
    
Sybase
By: Teradata     Published Date: Feb 26, 2013
Business Insights Using Hadoop with SQL Analytics. Harness the value of big data analytics -- This report discusses a unified data architecture solution providing valuable insight from new and existing data.
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power of analytics, harnessing the value of big data, business intelligence, teradata, unified data architecture, it management, data management
    
Teradata
By: Teradata     Published Date: Feb 26, 2013
Data is now available, often in endless amounts, from many rich sources. This article discusses the answers to how organizations can thrive in this era of rich and boundless information using a Unified Data Architecture platform.
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gaining value from emerging data, nothing more than just the next step, data mining, unified data architecture platform, social media, mobile devices, it management
    
Teradata
By: Tripp Lite     Published Date: Jun 28, 2018
As high-density IT equipment becomes the new normal, the amount of heat generated continues to grow substantially – as does the challenge of efficiently cooling data centers. Traditional perimeter and/or raised floor computer room air conditioning systems increasingly struggle to remove concentrated heat loads. In many small to mid-size data centers, implementing close-coupled cooling solutions can be a highly effective and efficient strategy for supplementing cooling capacity. Located in or near server racks, close-coupled air conditioning units focus cooling where it is needed most without lowering the temperature of the entire data center. In addition, these modular solutions make it easy to reconfigure cooling to handle new equipment or eliminate hot spots. As a result, using close-coupled portable, rack-mounted or row-based air conditioning units tailored to your specific data center needs can boost cooling efficiency and add valuable flexibility.
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Tripp Lite
By: Adobe     Published Date: Sep 20, 2016
Read our new white paper, Experience Design Optimization: Where Personalization Goes to Grow Up, and learn: - The experience design optimization process - How top brands are using data to design experiences that drive conversion - The four steps toward differentiating your brand with personalized experiences
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adobe, customer experience, deisgn, experience deign optimization, enterprise applications
    
Adobe
By: Adobe     Published Date: Apr 17, 2017
Download our guide, Solving the Programmatic Puzzle, to learn how to use data and technology to simplify, clarify, and maximize your programmatic ad campaigns—so you can create connected, personalized experiences across channels. You’ll find that while data and technology are core to programmatic media buying, using them effectively doesn’t have to be complicated. Read the guide now to discover how to: • Consolidate your data to maximize your ad spend • Simplify search, display, and social campaigns • Deliver real-time, personalized ads with ease
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programmatic ad campaigns, streamlined channels, media buying, consolidated data, ad management
    
Adobe
By: Adobe     Published Date: Oct 24, 2018
Adobe Audience Manager uses identity management tools and device graphs to tie device IDs to individuals or groups. If a customer starts using a device you don’t recognize, you can use second-party data available through a network or co-op to supplement your own, building a complete view of your customer. This allows you to send consistent messaging across devices, whether your customers log in to your site or not.
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Adobe
By: Docusign     Published Date: Feb 18, 2015
This paper illustrates the risks of using "wet-ink" signatures in the Cloud and the reason why e-signature is the best solution.
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wet-ink risks, wet-ink risks in the cloud, e-signature, e-signature best solution, cloud technology, risks of putting data in the clouds, digital signature, application security
    
Docusign
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