data analytics

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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
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
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
By: MicroStrategy     Published Date: Apr 11, 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
By: SAS     Published Date: Jan 17, 2018
For many of us, the term “smart city” conjures up images of sensors collecting data about everything from traffic patterns to energy use. It’s common for government leaders to think, “That’s not for us. We’re not there yet.” But if your organization is collecting data of any kind, you are in a position to use that data to create a smarter city for your citizens. Download this whitepaper for 10 examples of analytics being used to solve problems or simplify tasks for government organizations.
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     SAS
By: IBM     Published Date: Nov 14, 2017
Data is the hottest topic in business today. In discussions that range from understanding performance to predicting future outcomes, data is at the core. However, data has a bad reputation. Because businesses have been collecting data for decades, the amount that we must analyze can seem insurmountable. Simply saying “data” is enough to conjure images of someone poring over a thick stack of spreadsheets, manually going through row after row to identify performance, trends and figure out what to do with them. This intimidating view is all too common.
Tags : data, ibm, data insight, data analytics
     IBM
By: GrapeCity, Inc.     Published Date: Feb 25, 2013
Encouraging self-service BI adoption is both a technical and a human resource effort. This white paper offers a 10-point checklist for improving this process, and includes these questions and more in this easy-to-read white paper.
Tags : ad hoc reporting, ad hoc report designer, self-service bi, business intelligence, reporting, activereports, web-based reporting, mobile bi, end user reporting, dashboards, data visualization, charts, reports, analytics, multi-tenant, self-service reporting, crystal
     GrapeCity, Inc.
By: Seismic     Published Date: May 14, 2019
Imagine being able to walk into a meeting and say, “this is what our content has done to accelerate deals, the amount of revenue it has affected, and the ROI of our overall content strategy.” Every marketer dreams about proving ROI and the Information Age has finally made it possible for marketing teams to get concrete numbers on the success of various campaigns. But with all the data out there, how do marketers know which KPIs provide the best insight into the health and success of their marketing activities? Download the guide to learn: ? The top KPIs for improving internal marketing efficiency ? The content engagement analytics that prove value ? How to have better visibility into what content sales uses most often
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     Seismic
By: FICO     Published Date: Mar 14, 2017
Are you ready for a new year of killer devices, hacked fingerprints, crooked migration and more? Download now.
Tags : network security and data protection, advance threat defense, network visibility, security analytics, mobile security, cyber security detection software
     FICO
By: SAP     Published Date: May 18, 2014
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
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.
Tags : adobe, analytics, marketing, data collection, data automation, marketing automation, web analytics, marketing analytics, data exploration, automation technology, data practices, marketing solutions
     Adobe
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
Tags : retail industry, big data, analytics, cloud computing, mobile engagement, security
     IBM
By: IBM     Published Date: Jul 22, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
Tags : ibm, commerce, customer analytics, customer insight, data insights, business opportunity, analytics, knowledge management, enterprise applications
     IBM
By: IBM     Published Date: Jul 29, 2016
Ordinary analytics tools can’t keep up with today’s digital, multichannel and demanding customers. This guide highlights three major challenges associated with traditional analytics and how innovative strategies combined with IBM’s Customer Experience Analytics solution can solve them.
Tags : ibm, commerce, data, insights, analytics, analytics tools, ibm customer experience analytics, knowledge management, enterprise applications, business technology
     IBM
By: Qlik     Published Date: Jun 24, 2016
Get your complimentary copy of Gartner’s report for in-depth analysis of where BI is headed in 2016, who the major vendors are, and why Qlik is positioned in the Leaders quadrant for the sixth consecutive year.
Tags : qlik, business intelligence, data analytics, business analytics, business technology
     Qlik
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
The growing need for data governance, risk and compliance, data analysis and data value still drives strategic requirements in metadata management and the growth of its solutions. Data and analytics leaders can use this vendor evaluation to find the most appropriate solution for their organization.
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     Group M_IBM Q2'19
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
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
By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
Tags : sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
     SAP
By: IBM     Published Date: Jan 14, 2015
Cloud-delivered big data analytics presents an enormous opportunity for organizations that want to become more agile, more efficient and more competitive. To capitalize on the full potential of this opportunity, businesses need cloud-enabled big data analysis solutions that are flexible, simple, secure and open.
Tags : big data, data management, the cloud, cloud solutions, data, data analytics, client engagement, computing model, scale on demand, data center
     IBM
By: IBM     Published Date: Aug 20, 2013
In many ways, today’s web marketers are like blindfolded shopkeepers. They might have a general understanding of their customers’ needs, based on site analytics and other data sources, but they do not see what their actual customers are doing across channels. Hence, they miss numerous sales and marketing opportunities—online and off. Whether your shop is real, virtual, or a combination of the two, the more complete your customer vision, the greater the value you can provide to them and the greater value they will deliver to your bottom line.
Tags : personalization, real time personalization, web personalization, marketing, web experience, data, analytics, site analytics, data sources, marketing opportunity, business technology
     IBM
By: IBM     Published Date: Aug 20, 2013
In many ways, today’s web marketers are like blindfolded shop-keepers. They might have a general understanding of their customers’ needs, based on site analytics and other data sources, but they do not see what their actual customers are doing across channels. Hence, they miss numerous sales and marketing opportunities—online and off. Whether your shop is real, virtual, or a combination of the two, the more complete your customer vision, the greater the value you can provide to them and the greater value they will deliver to your bottom line.
Tags : personalization, real time personalization, web personalization, marketing, web experience, data, analytics, site analytics, data sources, business technology
     IBM
By: SurveyMonkey     Published Date: Oct 23, 2015
Watch our webinar, 4 Steps to Building a Customer Satisfaction Engine. SurveyMonkey's Director of Customer Success, Jeffrey Coleman, will show you how to: - Ask questions that yield actionable data - Scale follow-up actions and improvements - Analyze survey data and get key metrics - Close the loop by turning data into action
Tags : survey monkey, customer satisfaction, customer success, data analytics, survey data, client services, customer operations, salesforce, sfdc service
     SurveyMonkey
By: Clarabridge     Published Date: Dec 03, 2013
The purpose of this white paper is to provide organizations with a four step roadmap that details how organizations can use VoC to make Product Management more customer-centric and significantly increase the odds of consistently delivering products that are successful in the marketplace.
Tags : clarabridge, customer behaviors, social media program, interacting with customers, product and service problems, respond quickly, customer satisfaction, customer loyalty, market share, marketplace, voice of the customer, operationalize voc, customer insights, integrate structured data, integrated unstructured data, business value, customer feedback, text analytics software, product management, voc in product management
     Clarabridge
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.
Tags : 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
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