data and analytics

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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: Feb 19, 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.
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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
Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility
Published By: SAS     Published Date: Apr 25, 2017
Whether you call them customers, clients, patrons, guests or patients, customers are your organization’s most important asset. And that means customer loyalty should be among your top priorities. No matter when or where the customer journey begins – from websites and online chat to physical locations and call centers – customers expect you to provide a unique and personal experience. How can you use data and analytics to recognize your best customers across channels and know exactly where they are in their customer journey? Keep reading to find out.
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SAS
Published By: ClearSlide, Inc     Published Date: Feb 25, 2015
Organizations treat customer data as a key component of CRM. Many organizations see an effective customer data management strategy as an important cornerstone of their CRM strategy. Most organizations are moving beyond tactical CRM initiatives focused on saving cost and driving efficiency to making their organization more effective and focused on driving better customer engagement and experience. Customer data is used to enhance customer experiences, improve service quality, target marketing efforts, capture customer sentiment, increase upsell opportunities and trigger product and service innovation.
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crm, big data, customer engagement, customer service
    
ClearSlide, Inc
Published By: GoodData     Published Date: Aug 02, 2013
Salesforce provides a tremendous repository of customer information and interactions that’s organized and easily accessed. But that’s not enough! Once you begin to really use it, the questions you ask your salesforce data become more sophisticated. Then you start to uncover holes in your data, reporting strategy and Salesforce analytics itself. Download this white paper for 4 tips that are a surefire way to improve your salesforce analytics.
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sales metrics, how to forecast sales, sales analysis, sales analytics, crm analytics, salesforce reports, salesforce analytics, sales projections, sales kpis, sales prospecting, sales forecasting, sales forecast, sales pipeline, analytics, sales, business technology
    
GoodData
Published By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
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ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology
    
IBM
Published By: IBM     Published Date: Apr 29, 2014
Customer Profitability Analytics enables banks to analyze customer, account, product, and transaction data and apply costing models to determine a bank-wide view of profitability. Applying predictive analytics, they can model future behavior and derive a lifetime value for each customer.
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ibm, banking, customer profitability, customer profitability analytics, transaction data, predictive analytics, customer behavior
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
In the age of big data and workforce analytics, statistics and metrics abound. In the face of an overabundance of numbers, knowing which metrics are most important can be a real challenge for Human Resource (HR) leaders and hiring managers.
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big data, workforce, statistics, metrics, ibm
    
IBM
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