data and analytics

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Published By: Hitachi Vantara     Published Date: Aug 16, 2018
In this infographic, we are going to show you the possibilities with modernized, optimized data infrastructure. In doing so, we aim to bring you ideas about how you can bring your own data-driven business vision to life, focusing on the outcomes that matter most to you. In essence, we will be discussing five main industries and the possibilities for modernized data infrastructure. We will be displaying how Banking and Financial Services, Telecommunications, Manufacturing, Healthcare and Retail can use data, analytics and automation to optimize their business, therefore bringing about a competitive edge which previously appeared unimaginable. Using data correctly, most importantly building proper data infrastructures, can be the driving force behind obtaining a competitive edge. Data is your story. And it’s our story, too.
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Hitachi Vantara
Published By: SAS     Published Date: May 24, 2018
For 20 years running, SAS has landed a coveted spot on Fortune’s 100 Best Companies to Work For list. Our HR department plays a critical role in keeping current employees engaged and productive as well as anticipating and preparing for future workforce needs. How? One reason is our use of data and analytics to drive HR decision making. It would be easy to assume other companies see the value of analytics; however, a Deloitte survey found 75 percent of HR leaders rate analytics as a priority, yet only 8 percent say their HR organization has a strong analytics capability. I had the pleasure of meeting David Harcourt, Associate Manager of Employee Insights at Yum! Brands when he spoke at the Analytics Experience 2016 conference in Las Vegas. His session, “HR Analytics from Scratch: 8 Lessons Learned in the First Year,” provided valuable insight into what it takes to build HR analytic competency from scratch. His mission is to share with others what he wishes he’d known when he started bui
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SAS
Published By: MicroStrategy     Published Date: Jan 23, 2019
By 2025, the total amount of data produced will grow to 175 zettabytes, according to IDC’s Data Age 2025 Report. How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organizations will win with embedded and augmented analytics, HyperIntelligence, collaboration, enterprise AI strategies, and more. This eBook details the transformational technologies data-driven organizations will need to leverage to get and stay ahead in 2019 and beyond, with contributions from thought leaders, including: Mike Gualtieri of Forrester Research Ray Wang and Doug Henschen of Constellation Research Mark Smith and David Menninger of Ventana Research Chandana Gopal of IDC Ronald van Loon, and more. Is your organization ready for the data-driven future? Read 10 Enterprise Analytics Trends to Watch in 2019 today to find out.
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MicroStrategy
Published By: Adobe     Published Date: Apr 17, 2014
Discover new opportunities for maturing your data practices—and building your business results. You’ll learn how to move beyond mere web analytics to build a more comprehensive marketing analytics approach that includes mobile, social, and offline channels. And you’ll see how your current analytics capabilities compare to those of similar organizations and where you have opportunities for improvement.
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adobe, analytics, marketing, data collection, data automation, marketing automation, web analytics, marketing analytics, data exploration, automation technology, data practices, marketing solutions
    
Adobe
Published By: IBM     Published Date: May 12, 2015
In this guide, we explore the technological trends that are transforming the retail industry, across the areas of Big Data and Analytics, Cloud Computing, Mobile and Social Engagement, and Security
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retail industry, big data, analytics, cloud computing, mobile engagement, security
    
IBM
Published By: Dome9     Published Date: Apr 25, 2018
Last year at this time, we forecast a bumpy ride for infosec through 2017, as ransomware continued to wreak havoc and new threats emerged to target a burgeoning Internet of Things (IoT) landscape. ‘New IT’ concepts – from DevOps to various manifestations of the impact of cloud – seemed poised to both revolutionize and disrupt not only the implementation of security technology, but also the expertise required of security professionals as well. Our expectations for the coming year seem comparatively much more harmonious, as disruptive trends of prior years consolidate their gains. At center stage is the visibility wrought by advances in data science, which has given new life to threat detection and prevention – to the extent that we expect analytics to become a pervasive aspect of offerings throughout the security market in 2018. This visibility has unleashed the potential for automation to become more widely adopted, and not a moment too soon, given the scale and complexity of the thre
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Dome9
Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility
Published By: GoodData     Published Date: Aug 02, 2013
Salesforce provides a tremendous repository of customer information and interactions that’s organized and easily accessed. But that’s not enough! Once you begin to really use it, the questions you ask your salesforce data become more sophisticated. Then you start to uncover holes in your data, reporting strategy and Salesforce analytics itself. Download this white paper for 4 tips that are a surefire way to improve your salesforce analytics.
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sales metrics, how to forecast sales, sales analysis, sales analytics, crm analytics, salesforce reports, salesforce analytics, sales projections, sales kpis, sales prospecting, sales forecasting, sales forecast, sales pipeline, analytics, sales, business technology
    
GoodData
Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
Published By: VisiStat     Published Date: Mar 22, 2007
This report outlines five important "insider" secrets for measuring the effectiveness of your Website, along with tips on how to turn it into a lead generation machine.
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website traffic, visitor tracking, web analytics, web metrics, site analysis, online marketing, site management, increase sales, advertising, marketing campaign, ad tracking, generate leads, sales leads, online sales, sales tool, small business, ecommerce, search engine ranking, seo, keywords
    
VisiStat
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: SAS     Published Date: Jun 05, 2017
"The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights. "
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SAS
Published By: Oracle     Published Date: Jan 21, 2014
More than ever, marketers are being held accountable for demonstrating how marketing investments directly translate into sales. That’s why Modern Marketing is fueled by intelligent data analytics and reporting. Implementing the proper analytics systems can help you make critical decisions regarding which parts of your marketing efforts are working or not, and provide the reporting tools necessary to justify those decisions by connecting them directly with pipeline and revenue. By implementing systems for reporting and intelligence, you can better understand the impact that sales and marketing efforts are having on overall business. You then can refine strategies and develop repeatable processes for success.
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analytics, modern marketing, tenants, customer journey, segmentation, lead generation, eloqua, oracle
    
Oracle
Published By: Oracle     Published Date: Jan 22, 2014
More than ever, marketers are being held accountable for demonstrating how marketing investments directly translate into sales. That’s why Modern Marketing is fueled by intelligent data analytics and reporting. Implementing the proper analytics systems can help you make critical decisions regarding which parts of your marketing efforts are working or not, and provide the reporting tools necessary to justify those decisions by connecting them directly with pipeline and revenue. By implementing systems for reporting and intelligence, you can better understand the impact that sales and marketing efforts are having on overall business. You then can refine strategies and develop repeatable processes for success.
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analytics, modern marketing, tenants, customer journey, segmentation, lead generation, eloqua, oracle
    
Oracle
Published By: Oracle     Published Date: Jan 22, 2014
More than ever, marketers are being held accountable for demonstrating how marketing investments directly translate into sales. That’s why Modern Marketing is fueled by intelligent data analytics and reporting. Implementing the proper analytics systems can help you make critical decisions regarding which parts of your marketing efforts are working or not, and provide the reporting tools necessary to justify those decisions by connecting them directly with pipeline and revenue. By implementing systems for reporting and intelligence, you can better understand the impact that sales and marketing efforts are having on overall business. You then can refine strategies and develop repeatable processes for success.
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analytics, modern marketing, tenants, customer journey, segmentation, lead generation, eloqua, oracle
    
Oracle
Published By: Cisco     Published Date: Dec 22, 2016
Your network doesn’t just transport data. It serves a myriad of apps and endpoints—mobile devices, sensors, servers, machines, cameras, wearables—and all the employees, customers, and processes that use them. Which means it can produce invaluable contextual intelligence based on real-time analytics to help you navigate the growing demands of business, security, operations, and IT. Cisco DNA delivers crystal-clear visibility across your network so you can enhance mobile experiences and make business decisions quickly and accurately.
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Cisco
Published By: Aberdeen Group     Published Date: Nov 13, 2015
Aberdeen’s research shows that 90% of Best-in-Class marketers report fueling lead generation efforts with content marketing. What do you need to know to follow this best practice of the Best-in-Class? That’s exactly what this Knowledge Brief is intended to uncover.
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customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing, inbound marketing, lead generation, lead intelligence, market research, integrated marketing, lead nurturing, marketing analytics
    
Aberdeen Group
Published By: Birst     Published Date: Jul 16, 2013
Discover seven indications that you need advanced analytics for your CRM application and why they matter. Learn about common CRM data analysis pain points and how advanced CRM analytics can solve them.
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business intelligence, agile bi, self service bi, bi in the cloud, unified bi, mobile bi, embedded analytics, business analytics, sales analytics, hr analytics, marketing analytics, financial analytics, supply chain analytics, automated data management, dashboards, infrastructure
    
Birst
Published By: GE Power     Published Date: Sep 16, 2016
In this eBook learn how power leaders are leveraging Asset Performance Management (APM) to drive less unplanned downtime, safer operations and a competitive edge with data and predictive analytics.
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general electric, apm, asset performance management, performance management, operations, data analytics
    
GE Power
Published By: GE Power     Published Date: Oct 05, 2016
Ten Billion dollars in production is lost annually from unplanned downtime in the power sector. 95% of alarms don’t matter. In this eBook learn how power leaders are leveraging Asset Performance Management (APM) to drive less unplanned downtime, safer operations and a competitive edge with data and predictive analytics.
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power plant asset management software, plants operation management software, asset performance management system, emissions management software
    
GE Power
Published By: AWS     Published Date: Nov 15, 2018
"Getting the right analytics, quickly and easily, is important to help grow your organization. But analytics isn’t just about collecting and exploring data. The truly important step resides in converting this data into actionable insights. Acquiring these insights requires some planning ahead. While ease of deployment, time-to-insight, and cost are all important, there are several more assessments you need to take before choosing the right solution. Learn the 8 must-have features to look for in data visualization. Download this white paper to learn how TIBCO® Spotfire® in AWS Marketplace assist in providing you advanced, cost-effective analytics."
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AWS
Published 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
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 05, 2016
In an environment where data is the most critical natural resource, speed-of-thought insights from information and analytics are a critical competitive imperative.
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ibm, data warehouse, big data, analytics, data warehouse, business intelligence, knowledge management, data management, data center
    
IBM
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