real time data

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By: Arcserve     Published Date: May 29, 2015
Today, data volumes are growing exponentially and organizations of every size are struggling to manage what has become a very expensive and complex problem. It causes real issues such as: • Overprovisioning their backup infrastructure to anticipate rapid future growth. • Legacy systems can’t cope and backups take too long or are incomplete. • Companies miss recovery point objectives and recovery time targets. • Backups overload infrastructure and network bandwidth. • Not embracing new technologies, such as cloud backup, because there is too much data to transfer over wide area networks.
Tags : backup infrastructure, legacy systems, overload infrastructure, cloud, security, it management, data management
     Arcserve
By: SAS     Published Date: Sep 08, 2010
This paper describes five business analytics styles used today and the building blocks required in implementing these styles. It is important to consider which of these styles is valid for your organization now and into the future.
Tags : sas, reporting, data warehouses, business activity monitoring, data integration
     SAS
By: SAS     Published Date: Mar 14, 2014
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
Tags : sas, bottom line, midsized businesses, leveraging data, data management, internal and external, decision making, big data, operational costs, decision support, operational execution, strategic analysis, predictive analytics, data landscape, real-time data, interactivity, data democracy, visual analytics, data center
     SAS
By: IBM     Published Date: Oct 24, 2013
This analyst research paper contains findings from Aberdeen Group on the financial reporting pressures, challenges faced by organizations particularly with regulatory mandates
Tags : ibm, aberdeen group, financial reporting pressures, financial challenges, analyst insight, disclosure management, organizational transparency, organizational collaboration, deman for data, utilize the data, business intelligence, real-time data initiatives, real-time financial reporting
     IBM
By: Intacct     Published Date: Feb 18, 2014
Learn the 4 essential features to bring your accounting system out of the Stone Age.
Tags : intacct, accounting, quickbooks, modern accounting system, data, real time data
     Intacct
By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
Tags : visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
     Datawatch
By: Intel Security     Published Date: Apr 06, 2016
This solution brief outlines how security operations must evolve to a continuous operation focused on assessing readiness, acquiring and integrating threat intelligence, and increasing the speed of threat response capability
Tags : advanced malware, targeted malware, layered malware defense, targeted attacks, critical infrastructure threats, forensic analysis, static detection, dynamic detection, forensic analysis, application control, vulnerability scanning, real-time kernel protection, change management monitoring, database activity monitoring, siem, network ips, global intelligence, advanced threat defense
     Intel Security
By: Group M_IBM Q2'19     Published Date: Jun 10, 2019
In the era of individual-centered economy, customers are demanding faster, more personalized services. To deliver these services, successful organizations realize the benefits of accurate and trusted master data. And in today's always on society, companies can no longer afford to allow downtime for maintenance and scheduled upgrades for these services and the supporting applications. With low latency capabilities in IBM InfoSphere Master Data Management designed to easily connect to applications in a zero-downtime environment, the highest demands for user interactions can now be realized. As a result, businesses can therefore take the next step in their digital transformation initiatives to truly drive personalized differentiated customer experiences to separate themselves in today's crowded marketplace. View this webinar to discover how IBM MDM puts these capabilities within easy reach. The webinar will: Reveal how these capabilities are being delivered on-premise and on t
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     Group M_IBM Q2'19
By: IBM     Published Date: Oct 10, 2013
The growth of cloud, mobility, social business and big data mean that botnets, credit card theft, cyber criminals and other external threats pose increasing risk to business continuity, financial stability and brand reputation. Read the white paper, “Preventing security risks in real time,” to learn how this new reality is forcing the evolution of organizations’ defenses to become more intelligent—using global analytics to scale visibility across broad data sets, both diverse and complementary, in real time.
Tags : ibm, cloud, mobility, social business, data, big dta, theft, cyber theft, cyber criminals, security, security risks, global analytics, visibility, data sets, protection, external threats, risk, risk management, finanical stability, it management
     IBM
By: IBM     Published Date: Jan 12, 2016
The core principles of retailing may remain the same but the methods by which retailers must reach out to customers are constantly evolving. As the need for real-time analytics and customer information grows more important, retailers need robust systems to manage the ever-expanding volumes of data.
Tags : customer experience, transaction processing, omnichannel banking, consumer demands, customer interaction, shopper experience, retail
     IBM
By: IBM     Published Date: Feb 03, 2016
The more real-time and granular your data is, the more responsive and competitive your organization can become.
Tags : ibm, data management, apache, hadoop, analytics
     IBM
By: InMage     Published Date: Feb 18, 2009
Companies of all sizes realize that near real-time business recovery is no longer a nice-to-have – it is becoming a new corporate must have. Competition, regulations and the 24x7 nature of businesses all push for continual application and data availability under almost any circumstances.
Tags : inmage, service level agreements, slas, enterprise business continuity, dcig, continuous data protection, cdp, host-based, san-based, corporate recovery point objectives, rpos, enterprise applications, data management
     InMage
By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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     SAS
By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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     SAS
By: IBM     Published Date: Apr 17, 2013
When it comes to storing data, the concepts of cost-effectiveness and efficiency are often at odds with each other. What we all seek is that elusive deal where we don’t affect the quality of service, yet are able to store a lot more (without spending a lot more). Read this white paper to learn how IBM Real-time Compression provides the data center with the flexibility to increase capacity and maintain performance for all kinds of data, including your most active data.
Tags : storwize, v7000, real-time, compression, features, data, cost-effective, efficiency, quality, service
     IBM
By: Esker     Published Date: Jan 08, 2019
AP Data You Should Leverage Positively impact your organization What's in the research report? Access to accurate, real-time data is more important than ever in today’s fast-paced business world — particularly in a department as important as AP. But what data should you be analyzing to improve performance and make the biggest impact? This research report details KPIs that provide valuable insights to stakeholders and key executives, based on three categories: • Operational: track overall efficiency • Financial: impact the bottom line • Supplier: related to suppliers
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     Esker
By: Quantcast     Published Date: Oct 28, 2013
In an industry that is constantly innovating, we know the challenge to achieve higher performance goals becomes more and more difficult. If you're new to online advertising or want to improve your display performance,read our game plan for a winning display strategy.
Tags : display advertising, display ad spend, ad spend, rtb, real time bidding, click data, conversions, display performance, display strategies, online advertising
     Quantcast
By: AccelOps     Published Date: Jan 08, 2014
Use real-time analytics and correlation for efficient root-cause analysis in your data center. Learn more about how AccelOps can help your company in our latest white paper.
Tags : accelops, application performance, network, data, data center, network monitoring, cloud, infrastructure, open source, security management, virtualization, wireless, server, networking, security, data management
     AccelOps
By: IBM     Published Date: Jan 09, 2014
How can your midsize business meet new demands for data storage with limited resources? In this eguide, you’ll find out that this innovative solution can radically improve storage performance—while minimizing expenses
Tags : ibm, storwize eguide, data storage, modern technology, virtual storage, gartner research, innovative data, storage maintenance, storage device, data storage capacity, data center, environmental management, infrastructure, virtual machine, it operations, consolidate servers, virtualized environments, storage architect, databases application integration, real-time compression appliance
     IBM
By: Cisco     Published Date: Dec 21, 2016
In a world characterized by increased virtualization, cloud computing, software-defined networking (SDN), and DevOps — and now containers and microservices — having comprehensive visibility into every flow and packet metadata is essential. This paper examines the need for and business value of pervasive, real-time visibility across the datacenter network. It also looks at the role of Cisco in the market for real-time datacenter analytics solutions.
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     Cisco
By: McAfee     Published Date: Oct 14, 2013
SANS Institute looks at how network attacks can be avoided by utilizing a SIEM platform that combines historical data with real-time data from network sources and security policies for better, more accurate reporting.
Tags : siem, sans, endpoint, network, correlation, integration
     McAfee
By: McAfee     Published Date: Jul 10, 2013
Modern malware defenses use layers of blacklisting and whitelisting, enhanced with real-time analysis and reputation data, to protect the endpoint computing stack.
Tags : mcafee, blacklisting, whitelisting, malware, endpoint, mcafee global threat intelligence, epolicy orchestrator, byod
     McAfee
By: HP Enterprise System     Published Date: Apr 03, 2014
SAP HANA Accelerated Finance and Controlling Rapid-Deployment solution: Financials are the lifeline of your organization. It’s essential to have real-time access to the data to make accurate decisions. Download this white paper to learn more!
Tags : sap hana, as a service solution, solutions, cost effective, operational management, accelerate value, enterprise applications, data management
     HP Enterprise System
By: Phunware     Published Date: Aug 11, 2014
Mobile devices are streaming millions of location data points in real-time. These data points are extremely valuable in their own right because the very apps that help generate data can also be used to act on insights and deliver relevant messages. Download these insights and examples to turn mobile data into actions.
Tags : phunware, mobile, physical marketing analytics, location analytics, business intelligence, space management, customer service, crm, loyalty, analytics for mobile, analytics on mobile, app analytics, app tracking analytics, mobile analytics tool, mobile app analytics, mobile app usage analytics, mobile data analytics, mobile device analytics, mobile location analytics
     Phunware
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