data and analytics

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Published By: IBM     Published Date: May 08, 2013
Read this whitepaper from FSN's Gary Simon to learn how disclosure management solutions from IBM can extend the value of your existing Business Intelligence tools. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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value, business intelligence, disclosure management, solutions
    
IBM
Published By: IBM     Published Date: May 08, 2013
Learn what CFO Research found when they surveyed finance executives from U.S. companies about their reporting processes and the tools they use to prepare financial statements. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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cfo, finance, tools, financial statements
    
IBM
Published By: Adobe     Published Date: Apr 17, 2014
Discover new opportunities for maturing your data practices—and building your business results. You’ll learn how to move beyond mere web analytics to build a more comprehensive marketing analytics approach that includes mobile, social, and offline channels. And you’ll see how your current analytics capabilities compare to those of similar organizations and where you have opportunities for improvement.
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adobe, analytics, marketing, data collection, data automation, marketing automation, web analytics, marketing analytics, data exploration, automation technology, data practices, marketing solutions
    
Adobe
Published By: Adobe     Published Date: Aug 02, 2017
With the advanced analytics capabilities in Adobe Analytics and the testing and targeting capacity of Adobe Target, it’s easier than ever to realise the potential of data-driven marketing. From creating a complete view of each customer across touchpoints and along their journey, to using predictive analytics, advanced anomaly detection and machine learning to understand behaviours and needs, you can use data to plan, create and optimise the experiences that matter to you and your customers.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Adobe
Published By: CDW     Published Date: Apr 04, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
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analysis, development management, data management, business intelligence, best practices, data center
    
CDW
Published By: CDW     Published Date: Aug 04, 2016
Changing workloads are pushing organizations to consider new infrastructure options. The latest designs address growing interest and the unique demands of the Internet of Things and Big Data. When cloud service provider Virdata needed to develop a highly scalable platform to collect information from millions of devices and offer Big Data analytics to its customers, it chose a converged infrastructure. Download this white paper to learn more!
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technology, data, converged systems, big data, cloud, productivity, internet, analytics, business technology
    
CDW
Published By: CDW     Published Date: Aug 04, 2016
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use. Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights. Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
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data, technology, data analytics, business intelligence, enterprise, data analytics, business technology, data center
    
CDW
Published By: McAfee     Published Date: Apr 25, 2014
As malware becomes ever more sophisticated and evasive, new technologies are emerging to uncover threats no matter how well they’re camouflaged. This paper proposes a logical design strategy for dynamic malware analysis that optimizes detection effectiveness, efficiency, and economics.
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malware detection, data analytics, dynamic sandboxing, static analytics, zero-day malware, comprehensive threat protection, fast detection, malware analysis, simplifies remediation, security, it management
    
McAfee
Published By: Teradata     Published Date: Jan 22, 2014
Trying to keep up with explosive data growth? Want to reduce your energy consumption costs? Or keep up with a constantly “on-the-go” consumer and workforce? You need Analytics in the Cloud.
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cloud analytics, big data, private cloud, public cloud
    
Teradata
Published By: Oracle     Published Date: Jan 21, 2014
More than ever, marketers are being held accountable for demonstrating how marketing investments directly translate into sales. That’s why Modern Marketing is fueled by intelligent data analytics and reporting. Implementing the proper analytics systems can help you make critical decisions regarding which parts of your marketing efforts are working or not, and provide the reporting tools necessary to justify those decisions by connecting them directly with pipeline and revenue. By implementing systems for reporting and intelligence, you can better understand the impact that sales and marketing efforts are having on overall business. You then can refine strategies and develop repeatable processes for success.
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analytics, modern marketing, tenants, customer journey, segmentation, lead generation, eloqua, oracle
    
Oracle
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Developing for and in the cloud has never been more dependent on data. Flexibility, performance, security—your applications need a database architecture that matches the innovation of your ideas. Industry analyst Ovum explored how Azure Cosmos DB is positioned to be the flagship database of internet-based products and services, and concluded that Azure Cosmos DB “is the first to open up [cloud] architecture to data that is not restricted by any specific schema, and it is among the most flexible when it comes to specifying consistency.” From security and fraud detection to consumer and industrial IoT, to personalized e-commerce and social and gaming networks, to smart utilities and advanced analytics, Azure Cosmos DB is how Microsoft is structuring the database for the age of cloud. Read the full report to learn how a globally distributed, multi-model data service can support your business objectives. Fill out the short form above to download the free research paper.
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Microsoft Azure
Published By: Dell EMC     Published Date: May 12, 2016
XtremIO gives you unmatched efficiencies for all database workloads. A scale-out database storage platform that consolidates and accelerates everything. Supercharge production, dev/test, and BI/analytics workflows with incredible data reduction and copy data management services. You get incredible and predictable scale-out performance with a low total cost of ownership.
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xtremio, all-flash array, agility, application landscapes, data management services, scale-out performance, enterprise applications
    
Dell EMC
Published By: Teradata     Published Date: Oct 19, 2015
Bruce Rogers, Forbes’ Chief Insights Officer, will discuss the key findings from a survey of senior-level IT and data executives on big data and analytics. He will be joined by Matt Ariker from McKinsey and Chris Twogood from Teradata and together they will present the differences between "leaders" and "laggards" when it comes to analytics initiatives and share how organizations can increase their odds of success with big data and analytics.
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big data, analytics, leaders, laggards, anlytics initiative, data management, data center
    
Teradata
Published By: SnapLogic     Published Date: Sep 03, 2015
Learn how SnapLogic and Amazon Web Services helped Earth Networks create a responsive, self-service cloud for data integration, preparation and analytics.
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data management, self-service clouding, data integration, data analytics, data storage, data encryption, data warehousing, database services, ssd storage
    
SnapLogic
Published By: Flexera     Published Date: Nov 19, 2018
In today’s competitive world, using new technology to set your business apart can make the difference between getting ahead or falling behind. But staying in control of the growing complexity is tough. Enterprise Architecture (EA), IT Service Management (ITSM) and Security teams need enriched technology asset data and accurate analytics so they can keep the enterprise running like a well-oiled machine. Join us to hear R “Ray” Wang, Principal Analyst and Founder of Constellation Research, and Alan Lopez, Senior Director of Global Product Marketing from Flexera, discuss use cases where asset data and analytics are becoming business-critical.
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Flexera
Published By: Flexera     Published Date: May 06, 2019
Using new technology to set your business apart can make the difference between getting ahead or falling behind. But staying in control of the growing complexity is a challenge. Enterprise Architecture (EA), IT Service Management (ITSM) and Security teams need enriched technology asset data and accurate analytics so they can keep the enterprise running like a well-oiled machine. Join us to hear R “Ray” Wang, Principal Analyst and Founder of Constellation Research, and Alan Lopez, Senior Director of Global Product Marketing from Flexera, discuss use cases where asset data and analytics are becoming business-critical. Watch the webinar.
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Flexera
Published By: CDW - APC     Published Date: Apr 07, 2016
Prefabricated modular data centers offer many advantages over traditionally built data centers, including flexibility, improved predictability, and faster speed of deployment. Cost , however, is sometimes stated as a barrier to deploying these designs. In this paper, we focus on quantifying the capital cost differences of a prefabricated vs. traditional 440 kW data center, both built with the same power and cooling architecture, in order to highlight the key cost drivers, and to demonstrate that prefabrication does not come at a capex premium . The analysis was completed and validated with Romonet’s Cloud-based Analytics Platform, a vendor-neutral industry resource.
Tags : 
analysis, development management, data management, business intelligence, best practices, business technology
    
CDW - APC
Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
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data, lake, amazon, web, services, aws
    
AWS
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: AWS     Published Date: Dec 17, 2018
Watch this webinar to learn how Tr?v Insurance Solutions, an insurance agency licensed to sell on-demand property and casualty insurance products, adopted DgSecure on Amazon Web Services (AWS) to anonymize production data to help comply with GDPR and other data privacy regulations. The solution helps Tr?v meet privacy standards while enabling its analytics teams to use data to better serve its clients.
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AWS
Published By: AWS     Published Date: Dec 17, 2018
Watch this webinar to understand how FINRA leverages Splunk with a variety of AWS services such as Amazon Kinesis Data Firehose and AWS Lambda as the data analytics destination to gain real-time insights for powerful visualizations, comprehensive reporting and meaningful alerts.
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AWS
Published By: Qlik     Published Date: Nov 10, 2015
Gain your competitive advantage by downloading IDC’s MaturityScape: Big Data and Analytics in Financial Services.
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qlik, big data, analytics, data analytics, financial data
    
Qlik
Published By: Comcast Business     Published Date: Dec 04, 2018
The use of data analytics as a driver for increased efficiencies and better customer service is proving valuable across industries. In the QSR space, data analytics is being adopted as a way to help QSRs stay competitive and grab a larger share of the market, as customers increasingly include speed and convenience as important factors in choosing where to eat.
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Comcast Business
Published By: MarkLogic     Published Date: Nov 30, 2017
The OPDBMS market in 2017 brings cloud and fully managed options center stage for execution. Market-defining vision includes features for machine learning, serverless scenarios and streaming integration. Data and analytics leaders must balance current and future needs against this market landscape.
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MarkLogic
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