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analytics implementation

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By: Attunity     Published Date: Nov 15, 2018
Change data capture (CDC) technology can modernize your data and analytics environment with scalable, efficient and real-time data replication that does not impact production systems. To realize these benefits, enterprises need to understand how this critical technology works, why it’s needed, and what their Fortune 500 peers have learned from their CDC implementations. This book serves as a practical guide for enterprise architects, data managers and CIOs as they enable modern data lake, streaming and cloud architectures with CDC. Read this book to understand: ? The rise of data lake, streaming and cloud platforms ? How CDC works and enables these architectures ? Case studies of leading-edge enterprises ? Planning and implementation approaches
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     Attunity
By: Oracle CX     Published Date: Oct 19, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
Tags : 
     Oracle CX
By: Oracle CX     Published Date: Oct 20, 2017
Oracle’s new cloud platform, included a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in memory and can prevent hacking explo
Tags : 
     Oracle CX
By: Oracle CX     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
Tags : 
     Oracle CX
By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
Tags : 
     Oracle CX
By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. 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-centric 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.
Tags : customer analytics, data matching, big data, competitive advantage, customer loyalty
     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: Visier     Published Date: Jul 08, 2014
Go from intuition- to fact-based workforce decision-making with this comprehensive guide to workforce analytics. This eBook includes advice on how to get started, tips to ensure successful implementation, and key recommendations for finding the right solution.
Tags : visier, workforce analytics, hr metrics, planning
     Visier
By: Visier     Published Date: Jul 08, 2014
Go from intuition- to fact-based workforce decision-making with this comprehensive guide to workforce analytics. This eBook includes advice on how to get started, tips to ensure successful implementation, and key recommendations for finding the right solution.
Tags : visier, workforce analytics, hr metrics, planning
     Visier
By: Visier     Published Date: Nov 04, 2014
With workforce analytics, HR professionals can play a more pivotal role in their organizations to help direct senior management and hiring managers in connecting the dots between their company’s overall performance and their investment in their workforce. Workforce analytics empower HR professionals to shift from being an operational function to becoming more of a strategic role within their organization. Workforce analytics uncovers deep insights into workforce data by drilling down into the data and highlighting both patterns of success to be repeated and patterns of failure that could lead to risk and impact. Go from intuition- to fact-based workforce decision-making with this comprehensive guide to workforce analytics. This eBook includes advice on how to get started, tips to ensure successful implementation, and key recommendations for finding the right solution
Tags : visier, workforce analytics, hr metrics, planning
     Visier
By: SAP     Published Date: Jul 18, 2016
To determine the status of Analytics and Business Intelligence in the Cloud, Enterprise Management Associates (EMA) embarked on an end-user research study to look at the current state of cloud-based analytics. Read the white paper to discover panelists’ insights on cloud-based analytics, business intelligence strategies, and implementation practices.
Tags : 
     SAP
By: Oracle     Published Date: Oct 20, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
Tags : 
     Oracle
By: Oracle     Published Date: Oct 20, 2017
Oracle’s new cloud platform, included a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in memory and can prevent hacking explo
Tags : 
     Oracle
By: Oracle     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
Tags : 
     Oracle
By: Oracle     Published Date: Oct 20, 2017
On Thursday June 30th, we announced Oracle’s new cloud platform, including a new line of servers for cloud and scale-out applications: Oracle’s SPARC S7-2 and S7-2L servers. These servers are based on the breakthrough SPARC S7 processor and extend the outstanding features and capabilities of the SPARC T7 and M7 systems into scale-out form factors. With the combination of Oracle’s breakthrough Software in Silicon features and the efficiency of the SPARC S7 processor we can offer the most secure and economical enterprise clouds with the fastest infrastructure for data analytics. Here at Oracle we recognize our customers’ needs for increasing the security of their data, therefore we have taken security as one of the core values on the SPARC Servers. The new SPARC S7 processor leverages the revolutionary Security in Silicon features introduced on the SPARC T7 and M7 systems. Silicon Secured Memory is a unique hardware implementation that prevents unauthorized access to application data in
Tags : 
     Oracle
By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
Tags : 
     Oracle
By: McAfee     Published Date: Nov 20, 2014
This paper is the result of a recent SANS survey exploring the use of analytics and intelligence today and exposes the impediments to successful implementation. Organizations that are deploying analytics and intelligence properly are experiencing faster response and detection times, as well as greater visibility. However, many are confused about how to integrate and automate their intelligence collection processes.
Tags : siem, threat intelligence, platform integration, correlation and analysis, third-party intelligence tools, security
     McAfee
By: Oracle     Published Date: Feb 10, 2016
There is little question that cloud is well established as a way to deliver business applications. Based on IDC research, over 70% of manufacturing companies are using hosted applications somewhere within their supply chain, with another 25% considering it. The most popular supply chain management (SCM) application areas are transportation related (transportation management, global trade management), where the "network effect" (i.e., carrier pooling, regulatory impact) can leverage both shared knowledge and existing connectivity along with sales and operations planning, demand signal management, and business intelligence/analytics. The concern that cloud is "risky" is increasingly taking a back seat to the perceived benefits of the technology. Indeed, those benefits, both achieved and anticipated, are significant, including cost, speed of implementation, and the ability to "consume" new capabilities and functionality easily and transparently.
Tags : oracle, supply chain cloud, supply chain best practices, idc research
     Oracle
By: SwellPath     Published Date: Sep 04, 2012
This guide provides the framework to build a successful analytics foundation in your organization, and shows you how to create an effective analytics measurement program that provides actionable insights and results driven recommendations.
Tags : google analytics, marketing analytics, ecommerce analytics, analytics strategy, web analytics, analytics implementation, google analytics consulting, measurement strategy
     SwellPath
By: Tealium     Published Date: Dec 15, 2011
Tags slow down web sites. Tag management systems provide a solution using a number of methodologies ranging from asynchronous tagging, conditional loading and tag killing to improve site performance.
Tags : tag management, tag management system, universal tag, container tag, pixel management, site performance, web analytics, web analytics implementation
     Tealium
By: Tealium     Published Date: Dec 15, 2011
In the market for tag management systems? The "Buyer's Guide to Tag Management Systems" reveals the challenges associated with tagging, benefits provided by tag management systems, and features to consider when looking for such solutions.
Tags : tag management, tag management system, universal tag, container tag, pixel management, site performance, web analytics, web analytics implementation
     Tealium
By: IBM     Published Date: Jan 09, 2015
Early adopters of an extended 360° view will get competitive advantages over their rivals and this will force laggards to adopt a similar approach or lose business.
Tags : ibm, big data, insights, mdm, infosphere, data management, dashboards, value
     IBM
By: HP Enterprise System     Published Date: Apr 03, 2014
SAP HANA is a powerful, in-memory computing platform that streamlines business suite applications, analytics, planning, predictive analysis, and sentiment analysis on a single platform, so businesses can operate in real time. The design approach for enterprise-level solutions involving SAP HANA, and the best practices surrounding them, isn’t intrinsically different from the approach to any other enterprise-level solution for technology implementations. This paper is written to address those elements of good solution design and apply them to the SAP landscape, with particular focus on the SAP HANA element.
Tags : sap hana, as a service solution, solutions, cost effective, operational management, accelerate value
     HP Enterprise System
By: Storiant     Published Date: Mar 16, 2015
This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model.
Tags : storiant, data growth, data center, online data, data storage, storiant, big data, analytics implementations
     Storiant
By: SAS     Published Date: Jun 05, 2017
The Internet of Things is fast becoming a fixture in some industries, and the technologies for transformative business applications are at hand. Yet many organizations have been slow to recognize and act on these new opportunities. This report from the International Institute for Analytics explores the many business opportunities IoT presents, details its associated implementation challenges and describes how organizations can accelerate their progress so they don’t fall behind.
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     SAS
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