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By: Pure Storage     Published Date: Jul 18, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
Tags : external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
     Pure Storage
By: Pure Storage     Published Date: Jul 26, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
Tags : external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
     Pure Storage
By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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     Pure Storage
By: IBM     Published Date: Jul 05, 2016
Today's data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges, while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance performance.
Tags : ibm, datamart on demand, analytics, cloud, hybrid cloud, business insight
     IBM
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.
Tags : ibm, data warehouse, big data, analytics, data warehouse, business intelligence
     IBM
By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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     IBM
By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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     IBM
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
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions.
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     Group M_IBM Q2'19
By: Oracle     Published Date: Dec 30, 2018
The finance team’s data analytics skills put CFOs in the driving seat of digital change. Read the Economist Intelligence Unit report now to learn: • How finance helps other business units meet their digital ambitions • Why finance needs to make data visible across the business • Why it’s important to develop metrics for digital success Download now
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     Oracle
By: Forrester     Published Date: May 10, 2012
In the never-ending race to stay ahead of the competition, companies are developing advanced capabilities to store, process, and analyze vast amounts of data from social networks, sensors, IT systems, and other sources to improve business intelligence and decisioning capabilities.This report will help security and risk professionals understand how to control and properly protect sensitive information in this era of big data.
Tags : data-centric security, information protection, information management, data protection, security, risk and compliance, data warehousing
     Forrester
By: Teradata     Published Date: Jun 12, 2013
Because subpar analytics put customer relationships at risk, Forrester is redefining the modern practice of web analytics as "digital intelligence." This new approach to analytics brings a set of expanded requirements and calls on firms to consider their technology frameworks, organizational structures, metrics, and optimization practices.
Tags : web analytics, data driven marketing, digital intelligence
     Teradata
By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
Tags : unified data architecture, big data, analytics
     Teradata
By: Intel Security     Published Date: Oct 20, 2015
Explore and Understand the Seven Common Misconceptions Regarding Advanced Malware
Tags : advanced malware, targeted malware, layered malware defense, targeted attacks, critical infrastructure threats, forensic analysis, static detection, dynamic detection
     Intel Security
By: MobileIron     Published Date: May 07, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
Tags : mobile, threat, detection, machine, ransomware, confidential, networks
     MobileIron
By: MobileIron     Published Date: Aug 20, 2018
The types of threats targeting enterprises are vastly different than they were just a couple of decades ago. Today, successful enterprise attacks are rarely executed by the “lone wolf” hacker and instead come from highly sophisticated and professional cybercriminal networks. These networks are driven by the profitability of ransomware and the sale of confidential consumer data, intellectual property, government intelligence, and other valuable data. While traditional PC-based antivirus solutions can offer some protection against these attacks, organizations need highly adaptive and much faster mobile threat defense (MTD) for enterprise devices.
Tags : mobile, threat, detection, machine, learning
     MobileIron
By: Qlik     Published Date: Oct 13, 2015
Read more to learn how modern companies are adjusting to the BYO (Bring Your Own) data trend by combining external data with internal content.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization
     Qlik
By: Qlik     Published Date: Oct 13, 2015
Read more to learn how IT ensures that they are empowering their users with the tools they need to naturally explore data, ask the next question, and uncover the insight they need to make informed decisions.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization
     Qlik
By: Looker     Published Date: Dec 03, 2015
Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace. Listen to learn about embedding BI software, including; • Top uses cases for embedding business intelligence software • Case studies from different companies currently embedding BI • Build vs buy considerations • Evaluating ROI
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     Looker
By: IBM     Published Date: Apr 21, 2016
Industry analysts expect North American sports industry revenue to grow at a compounded annual rate of 4.8% to reach $67.7 billion by 2017, with customer-generated data the most collected type of external data.1 IBM Fan Insight, a software as a service-based solution available in the IBM Softlayer Cloud, and offers sports teams the breakthrough customer intelligence they need to lead in their industry.
Tags : ibm, sports marketing, sports industry, fan insight, kpi dashboard, crm & customer care, marketing research
     IBM
By: IBM     Published Date: Jul 27, 2016
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
Tags : ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence, security
     IBM
By: IBM     Published Date: Oct 06, 2016
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months and can cost an organization an average of 11 million USD.
Tags : cyber security, security analysis, integrated data systems, cyber intelligence, malware investigation
     IBM
By: IBM     Published Date: Oct 06, 2016
Defensive weak spots are just waiting to be found and exploited by persistent cyber attackers. But with cyber threat analysis, you quickly identify, disrupt and mitigate breaches by uncovering critical insights unseen by traditional defenses.
Tags : cyber security, threats, enterprise insight analysis, data computation, intelligence
     IBM
By: Veritas     Published Date: May 12, 2016
Nearly 70% of all stored data contains no legal, regulatory, or business value. Intelligence about your information’s age, location, and ownership provides the roadmap to effective decision-making.
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     Veritas
By: Genesys     Published Date: Feb 22, 2018
Your customers expect effortless and personalized engagement across all their channels. Delivering exceptional customer service requires the platform, infrastructure, applications and resources to identify, route and switch interactions seamlessly between agents and channels, while keeping relevant data available throughout the customer journey. Download this paper to learn how to: • Transform single interactions into personalized customer journeys • Empower employees with the right set of tools, including a unified desktop • Quickly deploy new technologies, like blended artificial intelligence (AI), bots and virtual assistants to exceed your customers’ rapidly evolving expectations
Tags : contactbabel, contact center, omnichannel, routing, customer experience
     Genesys
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