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Published By: SAS     Published Date: Mar 20, 2019
In today’s crowded analytics marketplace, who can you trust? What’s needed to deliver on the promise of transforming data into real value? And what do CIOs need to cost-effectively and successfully lead their organizations through changing technologies? For an organization to experiment with (and ultimately deploy) analytics, the responsibility falls squarely on the shoulders of IT. IT must provide secure access to lots of high-quality data, a friendly environment for experimentation and discovery, and a method for rapidly deploying and governing models. SAS can support an organization's journey toward becoming a data- and analytics-driven organization. We can help unlock the value by enabling with choices that make sense. Plus, we can show organizations how to get the most out of technology investments.
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SAS
Published By: Cisco     Published Date: Nov 17, 2014
Modern data centers have and continue to undergo transformation. Driven by familiar trends, green IT, endpoint growth, externalization, and increased resource requirements, modern data centers support more services, users, and data than ever before. The potential of new risks to the modern data center demands renewed attention to data center security. Data center architects must build in proper security controls, and policies and processes to address and mitigate these new risks.
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endpoint proliferation, ids, ips, externalization, cisco, networking, security, software development, it management, business technology
    
Cisco
Published By: IBM     Published Date: Apr 04, 2013
Teams of engineers and statisticians spend their days immersed in seas of data from various sources. However, it isn't just the largest of organizations that can benefit from analytics and data-driven decision-making. Businesses of all sizes need to leverage the new currency of data and information.
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smarter approach, inside ibm, business, analytics, solutions, mid size businesses, engineers, leverage
    
IBM
Published By: IBM     Published Date: Sep 27, 2013
Teams of engineers and statisticians spend their days immersed in seas of data from various sources. However, it isn't just the largest of organizations that can benefit from analytics and data-driven decision-making. Businesses of all sizes need to leverage the new currency of data and information.
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ibm, ibm business analytics solutions, business analytics, analytics solutions, midsize businesses, financial reporting, business intelligence, desktop data visualizations, data mining
    
IBM
Published By: IBM     Published Date: Oct 15, 2013
Good marketing is like a conversation. You have to listen to your customers. In our connected world, that means listening to the data they generate in their interactions with your brand.
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enterprise marketing management, emm, capitalize market, data driven marketing, data collection struggle, data trails, customer behavior, mistargeted market, act on opportunities, multichannel connectedness, sales and support agent, customer interactions, customer browsing behavior, keeping up with data collection
    
IBM
Published By: Oracle     Published Date: Nov 13, 2013
Being responsible for one-third of a business’ success already puts HR in a critical role. But it’s not just about finding the best people—it’s about finding the best people, at the lowest cost, with the lowest possible attrition and the best possible performance. And it’s about guiding your executive team to the right decisions using the language they understand best: numbers. Talent management—covering everything from recruiting and compensation to ongoing education and retention—has traditionally been managed in silos, with a series of disparate systems and disconnected processes and reports. In today’s data-driven world, CEOs demand more. This new study conducted by HR.com explores what’s working for organizations today and the biggest gaps to fill.
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zenithoptimedia, oracle, successful hr leadership, talent management, core business strategy, human resources, transactional to strategic, financial decisions, smart recruiting, talent scarcity and recruitment, technology advances, competitive compensation, quality of hire, hire smartly
    
Oracle
Published By: Oracle     Published Date: Nov 21, 2013
More marketers are implementing marketing automation to maximize the value of their data, improve engagements, and effectively measure effectiveness. While automation technology also helps companies become more data-driven to improve accountability, it can be challenging to understand how to make the most of its functionality. The Marketing Automation Simplified Guide offers an introduction to the 5 Tenets of Modern Marketing, and breaks down the tips marketers need to automate and optimize: -Data and targeting -Email marketing -Lead nurturing -Lead scoring -Content marketing -Sales enablement
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marketing automation, crm, customer relationship management, big data, marketing, digital marketing, targeting, segmentation, lead routing, lead management, email marketing, lead scoring, database marketing, oracle, eloqua, business technology, internet marketing, crm & customer care, sales
    
Oracle
Published By: Oracle     Published Date: Jan 22, 2014
More marketers are implementing marketing automation to maximize the value of their data, improve engagements, and effectively measure effectiveness. While automation technology also helps companies become more data-driven to improve accountability, it can be challenging to understand how to make the most of its functionality. The Marketing Automation Simplified Guide offers an introduction to the 5 Tenets of Modern Marketing, and breaks down the tips marketers need to automate and optimize: -Data and targeting -Email marketing -Lead nurturing -Lead scoring -Content marketing -Sales enablement
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marketing automation, crm, customer relationship management, big data, marketing, digital marketing, targeting, segmentation, lead routing, lead management, email marketing, lead scoring, database marketing, oracle, eloqua, business technology, internet marketing, sales
    
Oracle
Published By: Oracle     Published Date: Jan 22, 2014
More marketers are implementing marketing automation to maximize the value of their data, improve engagements, and effectively measure effectiveness. While automation technology also helps companies become more data-driven to improve accountability, it can be challenging to understand how to make the most of its functionality. The Marketing Automation Simplified Guide offers an introduction to the 5 Tenets of Modern Marketing, and breaks down the tips marketers need to automate and optimize: -Data and targeting -Email marketing -Lead nurturing -Lead scoring -Content marketing -Sales enablement
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marketing automation, crm, customer relationship management, big data, marketing, digital marketing, targeting, segmentation, lead routing, lead management, email marketing, lead scoring, database marketing, oracle, eloqua, business technology, internet marketing
    
Oracle
Published By: IBM     Published Date: Jan 02, 2014
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
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ibm, analytic answers, prioritized collections, collection agencies, debt collection, constrained budgets, constrained resources, the cloud, analytics technology, predictive and prescriptive, effective collection, up-to-date insights, trends and patterns, capital expenses, operational changes, data-driven, visual trends, potential opportunities, potential threats, business goals
    
IBM
Published By: IBM     Published Date: Feb 04, 2014
Explore the top five practices in today's customer-data-driven supply chain and examine the impact of using customer data on key supply chain metrics.
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ibm, aberdeen group, analytics report, customer data, data-driven, supply chain, best practices, social shopping, social networks, analyst insight, supply chain metrics, data streams, big data, data center, data analysis, industry demands, omni-channel environment, collaboration, social business, deployment trends
    
IBM
Published By: Cisco     Published Date: Dec 21, 2016
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
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Cisco
Published By: IBM     Published Date: Jul 07, 2014
Business analytics can empower your business managers to make more fact-based, data-driven decisions that improve operating results. Learn more in a report from Nucleus Research.
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ibm, profitability, analytics, big data, midmarket, midsize companies, data-driven decision making, predictive analytics, business intelligence, performance management, business technology
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
With so much emphasis in the business world being placed on big data and analytics, it can be easy for midsize businesses to feel like they’re being left behind. These organizations often recognize the benefits offered by big data and analytics, but have a hard time pursuing those benefits with the limited resources available to them.
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ibm, analytics, big data, midmarket, midsize businesses, data-driven insights, business insights, business value, data analysis
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
The IBM Institute for Business Value conducted a global study to investigate how organizations were creating value from an ever-growing volume of data obtained from a variety of sources. This resulted from data-derived insights, which then guided actions taken at every level of the organization. The findings identified nine levers that enabled the organizations to create the most value.
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ibm, midmarket, ibm global analytics study, analytics, business insights, profitability, big data, business analytics, data-driven insights, decision making
    
IBM
Published By: IBM     Published Date: Jul 22, 2014
Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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ibm, cloud, cloud storage, storage, storage environment efficiency, environment efficiency, data protection, data driven analytics, storage systems, storage costs, it budget, it management
    
IBM
Published By: IBM     Published Date: Nov 04, 2014
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Join this session to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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cloud computing, it efficiency, cloud storage, data protection, it management, data management
    
IBM
Published By: IBM     Published Date: Jan 23, 2015
Organizations are shifting to Cloud to improve agility, reduce costs and increase IT efficiency. To achieve the benefits promised by Cloud, your storage infrastructure needs to be virtualized and provide the required automation and management capabilities. Watch this webinar to learn how you can quickly convert existing storage to Cloud storage, standardize advanced data protection capabilities, and utilize advanced data-driven analytics to optimize tiering across storage systems --- reducing per unit storage costs up to 50% and freeing up valuable IT budget.
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storage environment, cloud storage, it efficiency, cloud agility, data-driven analytics, it management, knowledge management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Jun 09, 2015
Government revenue management agencies are using computer technology to capture and harvest data and extract value from it. This paper explains the importance of being data-droven and outlines a way forward in the journey of getting there.
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ibm, government, data, records, legal, information, benefits, state/local/municipal, federal, technology
    
IBM
Published By: gShift Web Presence Analytics     Published Date: May 04, 2015
Download this guide today and discover how to use data-driven insights to elevate your SEO, Social & Content marketing strategies.
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gshift, seo, social marketing strategies, content marketing strategies, keywords, email marketing, emerging marketing
    
gShift Web Presence Analytics
Published By: SPSS     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.
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spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the marketing sector.
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spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
SPSS, Inc.
Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.
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SAS
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