analytics demand

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Published By: Seismic     Published Date: May 14, 2019
There's no doubt that intelligence-driven marketing is on the rise. According to Forbes, reliance on marketing analytics to make business decisions has increased from 30% to 42% of the time over the past five years. But as marketing analytics become more prevalent, how do organizations know what matters most, and more importantly, what’s going to show Marketing’s contribution to revenue? In this on-demand webinar, MarketingProfs, Seismic and marketing analytics expert Christopher S. Penn explore the analytics trends that marketers should care about most in the year ahead. You’ll learn: ? The top 5 marketing analytics trends by projected search interest ? How to build the foundation of your 2019 metrics ? How to prepare for massive changes coming to marketing analytics (including AI)
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Seismic
Published By: Zaloni     Published Date: Apr 24, 2019
Why your data catalog won’t deliver significant ROI According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not. That’s a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%. Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data. However, modernizing data plat
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Zaloni
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q2'19
Published By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Feb 28, 2019
Companies of all sizes have a critical need to match supply and demand as efficiently as possible, in order to quickly capture maximum demand at the lowest possible cost. This tutorial will walk you through a demand forecasting and planning solution that can help you deliver more accurate demand forecasts, optimized operations to satisfy demand, and a complete operational and financial plan that the business can use in practice. In this tutorial, you will explore the following key capabilities: Improve decision-making in a single workspace with IBM Planning Analytics Deliver timely, reliable plans and forecasts with the addition of SPSS Modeler Create optimal demand plans with the addition of IBM ILOG CPLEX Optimization Studio
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Group M_IBM Q119
Published By: Citrix Systems     Published Date: Feb 14, 2019
"Discover why ninety-four percent of organizations surveyed are already modifying, overhauling, or reassessing their network infrastructure to facilitate application delivery in hybrid- and multi-cloud environments. Read this e-book to learn why you should re-architect your network infrastructure to optimize application delivery: 1. Ensure end-to-end network visibility for your operations 2. Gain real-time analytics for application optimization and uptime 3. Scale your application infrastructure according to workload demand Read the e-book today to find out all six must-haves for application delivery in the cloud."
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Citrix Systems
Published By: StreamSets     Published Date: Feb 13, 2019
Enterprise analytics has quickly evolved from a centralized business intelligence function for historical reporting and dashboards to a democratized capability where anyone can access, analyze and act on all available information, often in real-time while employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration.
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StreamSets
Published By: Visier     Published Date: Jan 25, 2019
Complementing your investment in Workday, Visier People takes you beyond Workday’s operational reports to strategic excellence. How? Through actionable and proven people analytics that are available today—not someday. Chosen time and again by Global 2000 organizations, Visier’s dedicated people analytics and workforce planning solution, with its all-inclusive subscription model, brings together data from all your transactional HR and business systems— including Workday—so you can: • Answer strategic workforce questions on demand, with credibility • Connect the dots between workforce decisions and business outcomes • Model and forecast your future workforce and its costs
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Visier
Published By: Veritas     Published Date: Jan 04, 2019
The digital business continues to evolve. Investments in data analytics projects lead the way while traditional, proprietary infrastructures are being disrupted by cloud, open source and hyperconverged paradigms. These changes are forcing IT leaders to contend with greater workload diversity in the midst of tightening budgets. And while the workload [or] IT landscape is changing, the need for reliable data protection remains as crucial as ever to protect against, data corruption, human error, and malicious threats such as ransomware. Learn how Veritas can help you navigate through these obstacles. Join us to hear experts from ESG and Veritas discuss how the right data protection solution today can prepare you for tomorrow's business demands. You will learn: The key trends that are driving change in the digital business The most common causes of data loss in tomorrow’s multi-cloud data centers How to protect an increasingly diverse environment with minimal operational overhead
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Veritas
Published By: AWS     Published Date: Jan 03, 2019
Managing your data can be a challenge, but establishing an analytics solution that every user can navigate, regardless of skillset, is where organizations often need help. TIBCO® Spotfire® features AI-driven data visualizations and dashboards, which helps enables each organizational role to discover and deliver valuable insights with ease. Riteway Sales and Marketing, which helps many Southeastern supermarkets execute strategies, leveraged the power of TIBCO Spotfire to better understand individual product performance throughout their stores, achieving exponentially faster time to insight than their previous solution allowed. Watch this on-demand webinar to learn how TIBCO Spotfire, when leveraged on Amazon Web Services cloud, can help you generate deep insights in minutes. You’ll learn: • How to generate relevant, actionable insights from any data, anywhere • Some of the best practices for leveraging AI-driven visual and predictive analytics solutions in the cloud • How to
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AWS
Published By: Veritas     Published Date: Jan 03, 2019
The digital business continues to evolve. Investments in data analytics projects lead the way while traditional, proprietary infrastructures are being disrupted by cloud, open source and hyperconverged paradigms. These changes are forcing IT leaders to contend with greater workload diversity in the midst of tightening budgets. And while the workload [or] IT landscape is changing, the need for reliable data protection remains as crucial as ever to protect against, data corruption, human error, and malicious threats such as ransomware. Learn how Veritas can help you navigate through these obstacles. Join us to hear experts from ESG and Veritas discuss how the right data protection solution today can prepare you for tomorrow's business demands. You will learn: The key trends that are driving change in the digital business The most common causes of data loss in tomorrow’s multi-cloud data centers How to protect an increasingly diverse environment with minimal operational overhead
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Veritas
Published By: Splunk     Published Date: Dec 11, 2018
Predictive IT is a powerful new approach that uses machine learning and artificial intelligence (AI) to predict incidents before they impact customers and end users. By using AI and predictive analytics, IT organizations are able to deliver seamless customer experiences that meet changing customer behavior and business demands. Discover the critical steps required to build your IT strategy, and learn how to harness predictive analytics to reduce operational inefficiencies and improve digital experiences. Download this executive brief from CIO to learn: 5 steps to an effective predictive IT strategy Where AI can help, and where it can’t How to drive revenue and exceptional customer experiences with predictive analytics
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predictive it, predictive it tools, predictive analytics for it, big data and predictive analytics
    
Splunk
Published By: StreamSets     Published Date: Dec 05, 2018
Enterprise analytics is quickly evolving into a democratized capability where anyone can access and act on all available information, often in real-time employing advanced techniques. But the complex, dynamic and urgent nature of modern data analytics demands a new approach to data integration. This paper proposes that DataOps, the application of DevOps practices to data analytics, is the best way to overcome these challenges to create an iterative build-operate process for data movement. Read this white paper to: Understand how modern data analytics create data integration challenges due to architectural complexity, operational blindness and data drift. Learn how DevOps pillars of automation and monitoring can create higher developer productivity, operational efficiency and business confidence in data. See specific examples of DataOps functionality being applied to data integration across modern architectures.
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StreamSets
Published By: Citrix Systems     Published Date: Nov 13, 2018
Discover why ninety-four percent of organizations surveyed are already modifying, overhauling, or reassessing their network infrastructure to facilitate application delivery in hybrid- and multi-cloud environments. Read this e-book to learn why you should re-architect your network infrastructure to optimize application delivery: 1. Ensure end-to-end network visibility for your operations 2. Gain real-time analytics for application optimization and uptime 3. Scale your application infrastructure according to workload demand Read the e-book today to find out all six must-haves for application delivery in the cloud.
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Citrix Systems
Published By: Cognizant     Published Date: Oct 23, 2018
In the last few years, a wave of digital technologies changed the banking landscape - social/ mobile altered the way banks engage with customers, analytics enabled hyper personalized offerings by making sense of large datasets, Cloud technologies shifted the computing paradigm from CapEx to OpEx, enabling delivery of business processes as services from third-party platforms. Now, a second wave of disruption is set to drive even more profound changes - including robotic process automation (RPA), AI, IOT instrumentation, blockchain distributed ledger and shared infrastructure, and open banking platforms controlled by application programming interfaces (API). As these technologies become commercialized, and demand increases for digitally-enabled services, we will see unprecedented disruption, as non-traditional banks and fintechs rush into all segments of the banking space. This whitepaper examines key considerations for banks as they explore value in the emerging Digital 2.0 world.
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cognizant, banking, digital
    
Cognizant
Published By: ServiceNow     Published Date: Sep 18, 2018
When a global transportation logistics provider wanted to improve support for its global network of branch offices in the Americas, Europe, and Asia, it used performance analytics to monitor and analyze the organization’s support processes. Not only did performance analytics dramatically increase visibility—allowing the company to move from monthly reports to on-demand performance dashboards—it also uncovered major process bottlenecks. In one case, resolving a single bottleneck increased efficiency by 17%, making support far more responsive while saving hundreds of hours of effort. Discover how ServiceNow Performance Analytics can benefit your business by downloading this white paper.
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performance, analytics, business, servicenow
    
ServiceNow
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
Software drives competitive advantage more than ever at an increasing velocity for releases along with higher, overwhelming levels of deployment complexity. Dramatic growth in mobile applications, analytics, systems of engagement, and cloud demands that organizations respond adaptively, even as resource constraints make it challenging to nearly impossible to do so. As a result of these combined factors, IDC sees increased interest in, demand for, and adoption of agile approaches to development and also for business initiatives driving adoption of agile approaches to overall project, program, and portfolio management. As we receive inquiry on this area increasingly, it makes sense to assess this market.
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CA Technologies EMEA
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: Workday     Published Date: Aug 07, 2018
From the rise of data analytics to new needs in budgeting, the shift to value-based medicine is bringing a fresh set of challenges to healthcare CFOs. How can you best meet these new demands and turn change into opportunity? This Becker’s Hospital Review eBook compiles 10 must-read articles that offer executive tips, actionable insights, and noteworthy trends for healthcare finance technology.
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Workday
Published By: SAS     Published Date: Jun 20, 2018
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SAS
Published By: SAS     Published Date: Jun 11, 2018
Electric vehicle technology touches all areas of the utility business, including IT, forecasters and grid operations. The growth of IoT-connected devices, both in the utility-owned grid and customer-owned smart energy apps, makes this a rich field for innovation. But what analytics infrastructure is needed in order to manage the future demand coming from EVs? And what opportunities and risks do EVs present? This white paper from Navigant Research, sponsored by SAS and Intel, explores the analytics infrastructure that utilities need to prepare for and benefit from the growth of EVs.
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SAS
Published By: SAS     Published Date: Jun 08, 2018
Download Webinar
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SAS
Published By: CA Technologies EMEA     Published Date: May 25, 2018
Software drives competitive advantage more than ever at an increasing velocity for releases along with higher, overwhelming levels of deployment complexity. Dramatic growth in mobile applications, analytics, systems of engagement, and cloud demands that organizations respond adaptively, even as resource constraints make it challenging to nearly impossible to do so. As a result of these combined factors, IDC sees increased interest in, demand for, and adoption of agile approaches to development and also for business initiatives driving adoption of agile approaches to overall project, program, and portfolio management.
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idc, marketscape, agile, ppm, vendor, assessment
    
CA Technologies EMEA
Published By: Epicor     Published Date: May 01, 2018
We all know the wisdom of monitoring familiar key performance indicators (KPIs). Turns, gross margin return on investment (GMROI), sales, inventory measures, and other metrics will tell you how your business is faring—and that’s pretty important if you want to keep your hardware store in business. However, just staying in business isn’t enough in a rapidly evolving retail world, so achieving improved KPI results is essential. In this Epicor eBook, you’ll learn about eight easy-to-use tools that go beyond traditional KPIs to quickly improve business results, including: • Reviewing store-to-store sales • Identifying your top 100 items • Monitoring excess inventory • Viewing items with cost change and no retail change Learn more about these tools, and discover what else you can do to improve your KPI results by downloading this Epicor eBook. Download now and go beyond retail KPIs.
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retail analytics software, analytics on demand, kpi analytics software, retail kpi software, real time analytics, retail pos software, mobile pos, reporting software, pos technology
    
Epicor
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