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analytic environment

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Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: BlackLine     Published Date: Aug 06, 2018
The biotechnology and pharmaceutical industry is among the most heavily regulated industries in the world, challenged by evolving regulations, complex compliance requirements and close regulatory scrutiny. At the same time, companies must address the market pressures of globalization, the use of predictive data analytics and digital technologies, and the industry’s ongoing consolidation. In this challenging environment, confidence in internal controls is crucial. To ensure the integrity of transactional data, biotechnology and pharmaceutical companies must have visibility into the underlying details. No industry spends more capital—literally billions of dollars—on drug research and development annually. Yet, the risk of product failure exists at every stage of the drug lifecycle process. From an accounting and reporting standpoint, companies must have proper accounting software, procedures and controls in place to manage their financial data, and realtime visibility into this informat
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BlackLine
Published By: Akamai Technologies     Published Date: Sep 11, 2017
Malicious botnets present multiple challenges to enterprises — some threaten security, and others merely impact performance or web analytics. A growing concern in the bot environment is the practice of credential stuffing, which capitalizes on both a bot’s ability to automate repeat attempts and the growing number of online accounts held by a single user. As bot technologies have evolved, so have their methods of evading detection. This report explains how the credential stuffing exploit challenges typical bot management strategies, and calls for a more comprehensive approach.
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web analytics, frost & sullivan, bot management, botnet
    
Akamai Technologies
Published By: Oracle     Published Date: Sep 01, 2016
This report examines the marketing challenges and opportunities that can be addressed with analytics, and highlight the advantages of achieving comprehensive analytics in a cloud environment.
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marketing analytics, cloud computing, analytics, cloud, virtualization
    
Oracle
Published By: Pure Storage     Published Date: Nov 02, 2017
The evolution of genomics in recent decades has seen the volume of sequencing rise dramatically as a result of lower costs. Massive growth in the quantities of data created by sequencing has greatly increased analytical challenges, and placed ever-increasing demands on compute and storage infrastructure. Researchers have leveraged high-performance computing environments and cluster computing to meet demands, but today even the fastest compute environments are constrained by the lagging performance of underlying storage.
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big data, simple, fast, multi dimensional performance, eliminate complexity, lower tco, innovation
    
Pure Storage
Published By: Carbon Black     Published Date: Aug 14, 2018
Threat hunting is the proactive technique that’s focused on the pursuit of attacks and the evidence that attackers leave behind when they’re conducting reconnaissance, attacking with malware, or exfiltrating sensitive data. Instead of just hoping that technology flags and alerts you to the suspected activity, you apply human analytical capacity and understanding about environment context to more quickly determine when unauthorized activity occurs. This process allows attacks to be discovered earlier with the goal of stopping them before intruders are able to carry out their attack objectives.
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Carbon Black
Published By: NetApp     Published Date: Sep 24, 2013
"Today, enormous amounts of data are being created from a variety of sources, such as applications, new mobile devices, big data analytics, and the cloud. This is changing the speed with which business gets conducted and the scale in which it occurs. Moreover, the digital explosion shows no sign of slowing and IDC expects the amount of data being stored to grow in excess of 50% per year over the next few years. Discover how flash technology is being deployed to improve performance and efficiency for these demanding environments. Access this IDC whitepaper to learn more about the role of flash technology and the importance of flash solutions that are designed specifically for the enterprise."
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data, cloud, data centers, mobile devices, flash technology, flash solutions, netapp, enterprise applications, storage, data management, data center
    
NetApp
Published By: Anaplan     Published Date: Apr 06, 2016
A Harvard Business Review Analytics Services White Paper Finance is constantly tested to keep pace in today’s business environment. To keep up, planning needs to become a continuous process that spans departmental boundaries and enables managers to collectively realign resources to respond to market changes. Organizations must streamline disparate sales and operational planning with traditional financial planning and analysis by using technology to connect people, data, and processes across the organization. Download this white paper to discover the three steps to moving towards finance-led integrated business planning recommended by the Harvard Business Review.
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analytics, planning, cfo, operations, business practices, revenue, growth, enterprise business, finance trends, business analytics, business process, harvard business review, hbr, financial planning, corporate finance, fp&a, budgeting, integrated business planning, ibp, finance
    
Anaplan
Published By: Carbon Black     Published Date: Apr 11, 2018
Adversaries, and cybercriminal organizations in particular, are building tools and using techniques that are becoming so difficult to detect that organizations are having a hard time knowing that intrusions are taking place. Passive techniques of watching for signs of intrusion are less and less effective. Environments are complicated, and no technology can find 100 percent of malicious activity, so humans have to “go on the hunt.” Threat hunting is the proactive technique that’s focused on the pursuit of attacks and the evidence that attackers leave behind when they’re conducting reconnaissance, attacking with malware, or exfiltrating sensitive data. Instead of just hoping that technology flags and alerts you to the suspected activity, you apply human analytical capacity and understanding about environment context to more quickly determine when unauthorized activity occurs. This process allows attacks to be discovered earlier with the goal of stopping them before intruders are able t
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Carbon Black
Published 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.
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ibm, datamart on demand, analytics, cloud, hybrid cloud, business insight, knowledge management, enterprise applications, data management, data center
    
IBM
Published By: KPMG     Published Date: Jul 10, 2018
The real value of i4.0 comes from the integration of automation, data, analytics, manufacturing and products in a way that unlocks new business and operating models. Are you ready for the next industrial revolution? Read this report to find out: • why deep pockets alone won’t ensure i4.0 success • how to scale up projects and capabilities to drive enterprise-level value • what capabilities, controls and culture are required to support i4.0 success • how to unlock value by integrating smart processes and smart products • how to bring suppliers and value chain players into the i4.0 environment.
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KPMG
Published By: F5 Networks Inc     Published Date: Mar 30, 2018
It seems like every day there’s another article about IoT, big data analytics, and cloud architectures—and their unlimited potential for companies trying to gain a competitive edge in this digital world. If your business is in the midst of a digital transformation (and chances are, it is), you’re probably already enjoying some the benefits of the public cloud: economies of scale, preconfigured solutions that can be spun up with a few clicks, utility billing, and more. What you may not have heard, however, is how the shared security model of the public cloud affects your security responsibilities —and how it can be used to your advantage in these multicloud environments.
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roi, cloud, security, architectures, business, economies
    
F5 Networks Inc
Published By: Teradata     Published Date: Jun 12, 2013
Health plans and insurers know that to thrive over the next 3-5 years, they must dramatically improve their ability to engage with individual consumers. The combination of Teradata products; an integrated data warehouse, Aster big data analytics and Aprimo integrated communication management, creates actionable analytic capabilities unparalleled in its ability to help companies achieve these goals. this white paper details how health plans and insurers can use Teradata to succeed in today’s healthcare environment.
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healthcare, data, insights, health plans, integrated data
    
Teradata
Published By: Juniper Networks     Published Date: Feb 05, 2018
Innovative data-driven strategies are enabling organizations to connect with customers and increase operational efficiency as never before. These new initiatives are built on a multitude of applications, such as big-data analytics, supply chain, and factory automation. On average, organizations are now 53% digital as they create new ways of operating and growing their businesses, according to the Computerworld 2017 Forecast Study. As part of this transformation, enterprises rely increasingly on multivendor, multicloud environments that mix on-premise, private, and public cloud services and workloads. This shift is causing enterprises to increase network capacity; 55% of enterprises in the Computerworld study expect to add network bandwidth in the next 12 months.
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security, automation, savings, technology, cloud
    
Juniper Networks
Published By: IBM Watson Health     Published Date: Nov 21, 2017
The shift to value-based care means that healthcare organizations should expand their concept of return on investment (ROI) to include the ability of solutions to increase efficiency and contain healthcare costs. Data analytics and automation capabilities have become important tools for providers aiming to maximize value-based payments. Learn from this whitepaper about the best ways for healthcare organizations to measure health IT ROI in the value-based environment, including specific examples of how certain providers are approaching this challenge.
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value-based care, healthcare costs, health outcomes, health it, health information technology, hospital performance, operational performance, hospital performance improvement, operational performance, operational benchmarks, comparative analysis, post-acute network alignment, provider alignment, hospital spending, hospital financial benchmarks, hospital operational benchmarks
    
IBM Watson Health
Published By: Pentaho     Published Date: Apr 28, 2016
As data warehouses (DWs) and requirements for them continue to evolve, having a strategy to catch up and continuously modernize DWs is vital. DWs continue to be relevant, since as they support operationalized analytics, and enable business value from machine data and other new forms of big data. This TDWI Best Practices report covers how to modernize a DW environment, to keep it competitive and aligned with business goals, in the new age of big data analytics. This report covers: • The many options – both old and new – for modernizing a data warehouse • New technologies, products, and practices to real-world use cases • How to extend the lifespan, range of uses, and value of existing data warehouses
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pentaho, data warehouse, modernization, big data, bug data analytics, best practices, networking, it management, wireless, platforms, data management
    
Pentaho
Published By: CA Technologies EMEA     Published Date: Apr 10, 2018
CA Unified Infrastructure Management (CA UIM) is the only solution that provides unified analytics to proactively resolve issues. The solution’s single platform architecture delivers comprehensive infrastructure coverage so you can optimally manage hybrid IT environments and meet the needs of agile IT operations.
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CA Technologies EMEA
Published By: Aprimo     Published Date: May 01, 2012
The real-time buzzword is back. Marketers, vendors, and service providers use this term in a variety of scenarios to describe technologies, analytics, customer service, and processes. In this report, Forrester outlines how firms should evaluate the need to build an agile and real-time environment using a combination of analytics, technology, and business processes.
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aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy
    
Aprimo
Published By: CollabNet     Published Date: Jan 11, 2013
Read this whitepaper to learn about the 5 best practices for engineering performance management, and understand the do’s and don’ts of metrics management, analytics and reporting in software development environments.
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performance management, it operations, productivity, measurement, best practices, business analytics, business intelligence, business process management, application integration, analytical applications, data integration, data mining
    
CollabNet
Published By: McAfee EMEA     Published Date: Nov 15, 2017
Security Innovation Alliance Partners have integrated, tested, and certified their security solutions to work with McAfee Enterprise Security Manager. We have collaborated with our partners to simplify the integration of these products in even the most complex customer environments. This provides a truly connected security ecosystem that optimizes the value of your existing investments, improves efficiency, maximizes protection, and reduces operational costs.
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entity, analytics, mcafee, enterprise, security, customer, environments
    
McAfee EMEA
Published By: SRC,LLC     Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
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src, enterprise, streamline, analytics, economy, analytic imperative, business intelligence, seamless, data warehouse, interoperability, analytic environment, data assets, report generation, output options, total cost of ownership, tco, roi, return on investment, olap, enterprise applications
    
SRC,LLC
Published By: Vertica     Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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business intelligence, vertica, aggregated data, olap, rolap, sql, query, data warehouse, oltp, business analytics, linux, application integration, analytical applications, data integration, data mining, data quality, service oriented architecture, web service management, information management, data warehousing
    
Vertica
Published By: IBM     Published Date: Aug 08, 2012
IBM Analytical Decision Management revolutionizes how organizations make decisions by optimizing and automating high-volume, operational decisions at the point of impact to drive better business outcomes. In this technical white paper, learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
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ibm, technology, optimized decision-making, analytical decision management, decision management, automation, technology, decision management solution, best practices, business intelligence
    
IBM
Published By: SAS     Published Date: Mar 06, 2018
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent and interactive manner. Without requiring the end user to write, understand or interpret code. “Sensitive” artificial intelligence enables: • More productive use of expanded (big, often unstructured) information sources • Intuitive man-machine interactions (no code-speak here!) • Adaptive, immersive experiences and environments As frequently touted on the nightly news, AI’s popularity is clear. Ho
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SAS
Published By: SAS     Published Date: Sep 13, 2013
Embedding Analytics into Real-Time Business Decisions, Operations and Processes
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sas, embedding analytics, effective decision management system, batch-type environments, sensor data, software development, it management
    
SAS
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