it analytics

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Published By: Workday     Published Date: Feb 18, 2019
Human capital management technology plays a key role in helping organizations navigate the rise of the social enterprise, providing the ability to manage the full worker lifecycle, from recruitment to retention, and delivering the analytics needed to drive key business decisions. Read about the four steps businesses should take now.
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workday, workforce technology, digital strategy
    
Workday
Published By: Schneider Electric     Published Date: Apr 23, 2019
After buzzing Industry 4.0 all over the media by all OT and IT experts, today, a few key concepts seem to unveil the potential that the industry believes is behind Industry 4.0. These include: Smart Machines, Smart Factory, cyber physical systems, Everything-as-a-Service and a few technologies like OPC UA, cloud and data analytics. Clearly, they are the innovation drivers and must-haves for every vendor of automation products that want to be recognized as leaders or challengers. Sooner or later they will become standards and used by followers and niche players, but the key question for the market of automation suppliers is not who is first in developing and providing all the nice concepts and technologies, but who is creating and combining them in the right way so that they can be turned into new revenue streams. We keep in mind that competitive advantages can be achieved through increasing operational efficiency, but the better way is through strategic uniqueness. Companies which ar
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industry 4.0, iiot, smart machines, smart manufacturing, business models
    
Schneider Electric
Published By: Schneider Electric     Published Date: Apr 23, 2019
The supply chain for manufacturers and distributors is facing challenges around increased analytics, multichannel fulfillment, talent shortages, and the use of new technologies such as wireless, augmented reality, robotics and machine-to-machine (M2M). At the same time, there is continued focus on cost reduction and sustainability. The Industrial Internet of Things is driving a huge transformation as it increases the interconnection between connected devices and analytics. The smart manufacturing enterprise can seize opportunities to maximize efficiency and safety through networking and intuitive collaboration with its users. This eBook shares practical steps to follow for a smart material handling and logistics approach.
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material handling, logistics, conveying
    
Schneider Electric
Published By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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IBM APAC
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
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: 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
Published By: Anaplan     Published Date: Apr 02, 2019
49% surveyed cite insufficient revenue growth as the top pressure motivating sales performance management initiatives. And on top of that, 58 percent of sales reps are struggling to meet their current sales quotas. In this winner-takes-all market, sales leadership is faced with an uphill battle in driving sales performance. The pressure on sales to meet and exceed ever-increasing revenue targets is higher than ever before. Download this exclusive report to learn new insights on how sales performance data and analytics are driving peak sales performance.
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Anaplan
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
In Philip K. Dick's 1956 "The Minority Report," murder ceased to occur due to the work of the "Pre-Crime Division," that anticipated and prevented killings before they happened. Today, we are only beginning to see the impact of predictive analytics upon cybersecurity – especially for insider threat detection and prevention. Based on user interaction with data, CISOs and their teams emerge as the IT equivalent of a Pre-Crime Division, empowered to intervene before a violation is ever committed. Watch this webcast where we examine the technologies which make predictive analytics valuable, along with ethically minded guidance to strike the balance between vigilance and privacy.
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
Security spending is expected to reach $120 billion by 2021, yet the amount of data loss events seems to be increasing. Legacy DLP solutions, which rely on traditional threat blocking policies, have been unable to evolve to address these threats. Organizations need to fundamentally rethink how they address cybersecurity for today’s modern threats. Watch this webcast to understand how taking a Risk-Adaptive approach enables security to fluctuate based on the threat environment. See how Dynamic Data Protection, an industry-first solution, uses human-centric behavior analytics to continuously determine the risk cyber identities pose, based on their actions.
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Forcepoint
Published By: Forcepoint     Published Date: May 14, 2019
IDC Infobrief: How Security Solutions Enable Cloud Success Cloud applications have transformed how organizations conduct business, increasing productivity and reducing costs. However, moving to the cloud means critical data now flows outside the organization’s traditional security boundaries. Unsurprisingly, security concerns still rank as the number one reason for not using cloud services*. This IDC InfoBrief, sponsored by Forcepoint, outlines five key security considerations and best practices for safe cloud adoption, including: Multi-cloud adoption: exposing challenges for security architectures Cloud-first and GDPR implications Cloud application visibility and control Data management and DLP in the cloud Leveraging User and Entity Behavior Analytics (UEBA) for protection Read the eBook to find out the five information security lessons learned from transitioning to the cloud. *IDC’s 2017 CloudView Survey; IDC’s 2017 CloudImpact Survey
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Forcepoint
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: Citrix Systems     Published Date: Feb 14, 2019
"Now that 72.3% of cloud users have a mix of on-prem/off-prem clouds, the networking game has changed. Traditional app delivery solutions can’t ensure reliable, secure access in a SaaS, multi-device, hybrid, and multi-cloud world.  Get this solution brief to learn why a holistic strategy innately reduces complexities that otherwise would prohitib visibility and control in distributed architectures. The brief also explains: - The Citrix Networking approach to delivering reliability and a high-quality experience - How to ensure reliable access to apps at branch and remote locations while keeping costs low - How to provide full visibility and analytics for your network, applications, users, and data"
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Citrix Systems
Published By: Sitecore     Published Date: Nov 04, 2009
This report highlights the strategic value of a next generation web content management system integrated with lead scoring, email marketing, customer relationship management, and web analytics. The report links the technology and practices of Best-in-Class organizations to engage customers, provide personalized experiences and manage the lead lifecycle.
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sitecore, aberdeen, lifecycle management, web content management, analytics, crm, emarketing, email marketing, lead generation
    
Sitecore
Published By: Sitecore     Published Date: Jan 06, 2009
This guide offers insight into the WCM technology choices available today, discusses some of the requirements both IT and business users should consider when selecting a WCM solution, and includes advice for ensuring a successful evaluation process.
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sitecore, aberdeen, lifecycle management, web content management, analytics, crm, emarketing, email marketing, cms, lead generation
    
Sitecore
Published By: Sitecore     Published Date: Jul 08, 2009
This whitepaper discusses the need to target outcomes and focus on building a complete, 360-degree view of your customers -- who they are, where they came from, what they do, and how you can best meet their needs.
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sitecore, customer experience, lifecycle management, web content management, analytics, crm, emarketing, email marketing, cms, lead generation
    
Sitecore
Published By: Tagman     Published Date: Mar 21, 2011
This white paper examines the true costs associated with the Tagging of websites to implement and track the performance of online marketing technologies such as web analytics, display ad serving and search marketing. This research was conducted by TagMan, a smart container tag with real-time attribution and web-page acceleration.
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web analytics, tagging, real time attribution, web page acceleration, tagman
    
Tagman
Published By: Group M_IBM Q2'19     Published Date: May 21, 2019
ODM is the evolution of business rules management. It provides a complete, easy-to-use system for automating day-today operational decisions and allows businesspeople and IT to collaborate on business rules by using an interface and a language that are comfortable and intuitive for both. ODM not only allows you to automate your business rules, but also it enables you to apply insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. It ensures that you’re making the right decisions at the right time, when it can make a difference. What can this mean for your business? Adopting operational decision management can: • Improve customer centricity (acquisition and retention) by engaging individuals at the right time with the right offers
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Group M_IBM Q2'19
Published By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP Business Objects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to provide the conclusions of this cost and benefit analysis.
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SAP
Published By: SAP     Published Date: Feb 03, 2017
To better understand the benefits, costs, and risks associated with implementation of SAP BusinessObjects Analytics solutions, Forrester interviewed four organizations with multiple years of experience using these analytics solutions from SAP across one or more of the following key analytics areas: planning, business intelligence, and predictive analytics. A composite, or representative, organization was developed to report cost and benefit findings
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SAP
Published By: SAP     Published Date: Feb 03, 2017
The SAP HANA platform provides a powerful unified foundation for storing, processing, and analyzing structured and unstructured data. It funs on a single, in-memory database, eliminating data redundancy and speeding up the time for information research and analysis.
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SAP
Published By: Cisco     Published Date: Mar 22, 2019
Artificial intelligence (AI) and machine learning (ML) are emerging technologies that will transform organizations faster than ever before. In the digital transformation era, success will be based on using analytics to discover the insights locked in the massive volume of data being generated today. Historically, these insights were discovered through manually intensive data analytics—but the amount of data continues to grow, as does the complexity of data. AI and ML are the latest tools for data scientists, enabling them to refine the data into value faster.
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Cisco
Published By: Zaloni     Published Date: Apr 23, 2019
Although data and analytics are highlighted throughout the popular press as well as in trade publications, too many managers think the value of this data processing is limited to a few numerically intensive fields such as science and finance. In fact, big data and the insights that emerge from analyzing it will transform every industry, from “precision farming” to manufacturing and construction. Governments must also be alert to the value of data and analytics as the enabler for smart cities. Institutions that master available data will leap ahead of their less statistically adept competitors through many advantages: finding hidden opportunities for efficiency, using data to become more responsive to clients, and developing entirely new and unanticipated product lines. The average time spent by most companies on the S&P 500 Index has decreased from an average of 60 to 70 years to only 22 years. There are winners and losers in the changes that come with the evolution of both technology
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Zaloni
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
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