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analytics technology

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By: Pentaho     Published Date: Apr 28, 2016
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
Tags : pentaho, best practices, hadoop, next generation analytics, platforms, infrastructure, data, analytics in organizations
     Pentaho
By: Sybase     Published Date: Dec 01, 2011
This e-Brochure shows why Sybase IQ is the essential foundation for advanced analytics.
Tags : analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
     Sybase
By: Sybase     Published Date: Dec 01, 2011
Sybase IQ can give you smarter answers now. See how in this free webinar from Forester Research
Tags : analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
     Sybase
By: Sybase     Published Date: Dec 01, 2011
Learn why Sybase IQ is purpose-built for predictive analytics.
Tags : analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
     Sybase
By: Sybase     Published Date: Dec 01, 2011
This paper explores how the right data management architecture can overcome these challenges.
Tags : analytics software, analytics server, analytics server software, data warehousing, data mining, data warehouse, data mining software, business intelligence data mining
     Sybase
By: Workday     Published Date: Jul 30, 2019
At Workday, innovation drives everything we do. Combining powerful planning and analytics capabilities with a single source for data puts us on the cutting edge of financial management technology. Read this FSN Innovation Showcase to learn more.
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     Workday
By: Adobe     Published Date: Oct 24, 2018
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible: • Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds. • Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds. • Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes. • Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
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     Adobe
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.
Tags : aprimo, marketing, customer relations, crm, customer satisfaction, customer data, marketing strategy, crm solutions/software
     Aprimo
By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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     Amazon Web Services
By: McAfee     Published Date: Feb 06, 2013
Gartner defines "big data analytics" as the practices and technology used to pursue emerging and divergent pattern detection as well as enhance the use of previously disconnected information assets.
Tags : big data analytics, gartner, big data, big security data, advanced targeted attacks, advanced persistent threats, atas, context aware security intelligence
     McAfee
By: Gigaom     Published Date: Oct 07, 2019
While interest in Machine Learning/Artificial Intelligence/ (ML/AI) has never been higher, the number of companies deploying it is only a subset, and successful implementations a smaller proportion still. The problem isn’t the technology; that part is working great. But the mere presence and provision of tools, algorithms, and frameworks aren’t enough. What’s missing is the attitude, appreciation, and approach necessary to drive adoption and working solutions. To learn more, join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and panelists Jen Stirrup, Lillian Pierson, and special guest from Cloudera Fast Forward Labs, Alice Albrecht. Our panel members are seasoned veterans in the database and analytics consulting world, each with a track record of successful implementations. They’ll explain how to go beyond the fascination phase of new technology towards the battened down methodologies necessary to build bulletproof solutions th
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     Gigaom
By: 8x8 Inc.     Published Date: Jun 16, 2017
Do attitudes to IT adoption vary depending on your seniority within a business? And could this be holding back adoption of technology? These are key questions explored in this paper, which compares the views of mid-level ‘hands on’ IT managers with those of senior directors within British companies. Across both groups, there is a sense that UK business in general is too wary of implementing new technology. But there is a significant divergence of opinion when it comes to a range of factors, such as the extent to which companies invest in new technology, stay on top of the latest tech, and understand its importance to the success of the business. A pattern emerges, whereby the senior leaders within companies are far happier than middle managers with the status quo around technology adoption. And IT managers even suggest that this might be driven by self preservation on the part of senior leaders.
Tags : video conferencing, instant messaging, cloud based computer system, fixed phone line, pbx, cloud based telephony system, call analytics, byod
     8x8 Inc.
By: Infosys     Published Date: Dec 03, 2018
Data is a truly inexhaustible resource for an organization. It creates endless possibilities to make data do more. As a technology partner of hundreds of organizations around the world, Infosys helps clients navigate the journey from their current state to the next. Facilitating clients’ transition into data-native enterprises is a crucial part. To understand how companies are using data analytics today and their expectations in a world of endless possibilities with data, we recently commissioned an independent survey of 1,062 senior executives from organizations with annual revenues exceeding US$ 1 billion, in the United States, Europe, Australia, and New Zealand. The respondents were from business and technology roles, who were decision makers, program managers and external consultants; represented 12 industries, grouped into seven industry clusters, such as, consumer goods, retail and logistics, energy and utilities, financial services and insurance, healthcare and life sciences, h
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     Infosys
By: Extreme Networks     Published Date: Sep 17, 2014
In this eBook, we will demonstrate specific use cases for how a business intelligence solution can be used effectively by IT operations.
Tags : extreme networks, purview, application analytics, wifi/wireless, network solutions, business intelligence solutions, business intelligence, it operations
     Extreme Networks
By: McAfee EMEA     Published Date: Nov 15, 2017
As we have said through this paper, it is no longer an either/or choice between security analytics and SIEM. Or even between insourcing and outsourcing security monitoring. You need to establish a team with complimentary capabilities, skills, and resources; then leverage each part for what it does best. It is frustrating to use a technology for something it’s not built to do, and just as frustrating to expect a service provider to do things beyond their capability — regardless of their claims during the sales cycle. So don’t do that — build your security monitoring program to give all parties the best chance of success.
Tags : security, analytics, siem, monitoring, skills, capabilities, outsourcing
     McAfee EMEA
By: Marketo     Published Date: May 18, 2017
While ABM is not a new way to strategically market to target accounts, now it is a scalable, achievable strategy that organizations of all sizes can implement to focus on whole lifecycle marketing for key accounts. Marketing, selling to, and supporting your customers at an account-level is not only critical to your success, it’s what your customers expect. Competitive organizations that are focused on engaging their customers across the entire lifecycle, and throughout their buyer journey, need to sell at an account level, understand the influence of the different contacts and speak directly to them. The ABM we practice today is entirely different than the manual processes of days past. Implementing an ABM strategy no longer means an astronomical investment but it does mean increased revenue, focus, and partnership within your organization.
Tags : organization management, target accounts, engaging content, channel optimization, analytics, technology management, abm strategy, communication management
     Marketo
By: MuleSoft     Published Date: Oct 13, 2015
Improving data management is critical for streamlining regulatory reporting, monetizing customer analytics, and democratizing data-driven decision-making. Financial firms must transform their data management approach to unlock data from its silos, incorporate unstructured information from non-traditional sources, and integrate information whether on-premises, in the cloud, batch-based, or real-time. As this evolution continues, technology leaders must consider integration holistically across the enterprise and create an agility layer that is key to future-proofing their data management architecture. Read this whitepaper to learn: -Data management challenges in financial services -Best practices to manage data in financial institutions -Integration strategies for optimal data management
Tags : back office systems, operational effectiveness, unlocking data, business imperatives, modernizing legacy systems
     MuleSoft
By: IBM     Published Date: May 31, 2012
Companies with a cohesive strategy for integrating digital and physical elements can successfully transform their business models - and set new directions for entire industries. To find out how to transform your business model to capitalize on today's digital age, download this executive report.
Tags : ibm, business, crm, customer satisfaction, business analytics, technology
     IBM
By: IBM Software     Published Date: Feb 03, 2012
Read this white paper from IBM to learn about applying predictive analytics to claims management, including the typical ROI achieved, how embedded analytics improves decision making, and technology components of a predictive analytics solution.
Tags : ibm, security, predictive analytics, security policy, risk management, internet security, security solutions
     IBM Software
By: IBM Software     Published Date: Sep 13, 2011
As marketing programs become more expensive, and response and conversion rates plummet, knowing your customers is key to maximizing the profitability of your direct marketing campaigns. View this brief video to learn how you can gain valuable insight into your customers' behaviors and more accurately predict how they will respond to your marketing efforts.
Tags : ibm, analytics toolkit, marketers, customer behavior, technology, profitability
     IBM Software
By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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     SAS
By: SAS     Published Date: Oct 18, 2017
With the support of SAS, the Internet of Things Institute developed the 2017 Internet of Things ROI Research Study to gather real-world insights, lessons learned and future guidance from current users of IoT technology and advanced analytics. This selective sample of IoT users offers valuable insights to both IoT innovators and organizations still waiting to see how the technology evolves before investing. Multiple business layers and functions have input into IoT decision making. Discover which layer was most critical to success for those organizations that have achieved the highest percentage of their targeted ROI. Learn about the main drivers of success for IoT users achieving higher returns. Lastly, the results highlight six primary factors that can undermine an IoT initiative and how they can be prevented.
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     SAS
By: Tealium     Published Date: Mar 12, 2014
In this paper, Web Analytics Demystified presents an approach towards big data that has the potential to simplify the quest for “whole customer” data and improve your company’s odds of success.
Tags : tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, marketing
     Tealium
By: Tealium     Published Date: Mar 12, 2014
“The Rise of Data Activism: How Digital Data Distribution Platforms (D3P) Enable Marketers to Act on Their Data” discusses how marketers can solve the optimization gap and leverage new solutions to take action on their most actionable audience segments in real time.
Tags : tealium, big data, data analytics, business analytics, information technology, data distribution, tag management systems, digital data distribution platform
     Tealium
By: Netezza IBM US     Published Date: Mar 27, 2012
Across all industries, Revolution R Enterprise advanced analytics platform leverages the capabilities of IBM Netezza Analytics on IBM Netezza's family of data warehouse appliances, merging high-performance, scalable data warehouse technology with advanced in-database analytics and massively parallel capabilities
Tags : ibm, technology, netezza, analytics, enterprise analytics
     Netezza IBM US
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