data insights

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Published By: TIBCO Software     Published Date: Feb 01, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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data, product, manufacturers, manufacturing, processes, technologies, analysis, quality, machine, analytics
    
TIBCO Software
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software GmbH
Published By: HERE Technologies     Published Date: Jul 19, 2018
With big data, you can understand your consumers better than ever before. But for smarter advertising, you need to harness a more complete view of your consumers, both online and offline. HERE Technologies enables advertisers to make sense of their dynamic user data and build more actionable insights, through audience segmentation, real-time location targeting and attribution.
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HERE Technologies
Published By: Here Technologies     Published Date: Mar 29, 2019
With big data, you can understand your consumers better than ever before. But for smarter advertising, you need to harness a more complete view of your consumers, both online and offline. HERE Technologies enables advertisers to make sense of their dynamic user data and build more actionable insights, through audience segmentation, real-time location targeting and attribution.
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location data, ad tech, location targeting
    
Here Technologies
Published By: Oracle     Published Date: Jun 04, 2019
Data is central to marketing function, yet research shows that 50% of CMOs struggle to manage data volumes, or gain insights. Read how to address data ethics and management in your organisation. Marketing’s top priority is to enforce technologies enabling real time data insights to drive instant, personalised CX. Meanwhile, only 30% of CMOs say they have data visualisation dashboards to analyse specific sets of data. Read the findings
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Oracle
Published By: Oracle     Published Date: Jun 10, 2019
Data is central to marketing function, yet research shows that 50% of CMOs struggle to manage data volumes, or gain insights. Read how to address data ethics and management in your organisation. Marketing’s top priority is to enforce technologies enabling real time data insights to drive instant, personalised CX. Meanwhile, only 30% of CMOs say they have data visualisation dashboards to analyse specific sets of data. Read the findings
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Oracle
Published By: Cisco EMEA     Published Date: Mar 26, 2019
Most organizations have invested, and continue to invest, in people, processes, technology, and policies to meet customer privacy requirements and avoid significant fines and other penalties. In addition, data breaches continue to expose the personal information of millions of people, and organizations are concerned about the products they buy, services they use, people they employ, and with whom they partner and do business with generally. As a result, customers are asking more questions during the buying cycle about how their data is captured, used, transferred, shared, stored, and destroyed. In last year’s study (Cisco 2018 Privacy Maturity Benchmark Study), Cisco introduced data and insights regarding how these privacy concerns were negatively impacting the buying cycle and timelines. This year’s research updates those findings and explores the benefits associated with privacy investment. Cisco’s Data Privacy Benchmark Study utilizes data from Cisco’s Annual Cybersecurity Benchma
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Cisco EMEA
Published By: Omniture     Published Date: Jun 27, 2007
The beauty of Web analytics - and the promise of the Internet - is the ability to capture nearly unlimited amounts of data about your Web site. So how can you turn these incredible data resources into clear and actionable insights? A good place to start is by defining key performance indicators or KPIs.
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key performance indicator, kpi, omniture, web analytics, website analytics, user data, data collection, web measurement, dashboard, dashboards, lead generation, site catalyst, sitecatalyst
    
Omniture
Published By: SAS     Published Date: Mar 20, 2019
Seeing value from analytics and emerging technologies such as AI begins with trust in the data. That trust relies on how data is collected, shared, protected and used. The annual Data and Analytics Global Executive Study with MIT Sloan Management Review looks at how 2,400 global business leaders make decisions based on analytics insights – and what steps are needed to get trustworthy data.
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SAS
Published By: Patsnap     Published Date: Jul 25, 2016
IP data can be used for a lot more than traditional patent searching. In this white paper we look at how the insights from IP can be used to identify and mitigate risks. And we used virtual reality as our guide.
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virtual reality, vr headset, oculus rift, head mounted display, immersive experience, microsoft, risk management, analytical applications, virtualization, infrastructure
    
Patsnap
Published By: Adobe     Published Date: Jan 12, 2015
The more consumers interact with media, the more marketers know about their habits, and the less time they need to plan and guess actions. Mix Optimization Takes Over Planning, a new Forrester Research, Inc. report, shows why it’s important for marketers to transition to a marketing optimization platform and provides key steps that will help enable the transition.
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adobe, marketing, mix, optimization, data, analytics, mix, brands, scientific, planning, process, testing, dsp, dmp, programmatic, insights, campaign
    
Adobe
Published By: IBM     Published Date: Oct 10, 2013
To better understand the value that firms are deriving from Unified Communications (UC), the status of its adoption, and the barriers to full implementation, IBM engaged Forrester Consulting to survey network and telecom buyers and reflect upon existing research. Data from this survey, combined with existing research and insights, yields a picture of UC deployment and decision-making in enterprises.
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mobility, business outcomes, unified communications, business communications, ibm, uc deployment, enterprises, research and insight, decision-making, forrester consulting, understanding value, business values, firm goals, telecom buyers, implementation, valued data, wireless, network management, business management, telecom
    
IBM
Published By: IBM     Published Date: Jan 06, 2016
In light of such popularity, many organizations are turning their attention to mobile recruiting. So, how do job seekers use mobile devices in their job searches? Using data from the global IBM WorkTrendsTM survey, the IBM Smarter Workforce Institute (SWI) analyzed why and how potential job seekers use mobile in their job searches and what concerns and expectations they have. The results provide organizations with clear insights into how they can attract talent via mobile technologies.
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ibm, mobile recruitment, recruitment, mobile devices, smarter workforce institute, attracting talent, human resources
    
IBM
Published By: AWS     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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AWS
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artificial intelligence within the Financial Services industry, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jan 12, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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data, deep learning, automated, intelligence, pure storage
    
Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Jul 03, 2019
Deep learning opens up new worlds of possibility in artifi cial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-fl ash storage infrastructure that is built specifi cally to work with high-powered analytics.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly, and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
Tags : 
    
Pure Storage
Published By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage
Published By: Datastax     Published Date: Aug 23, 2017
Banks deal with mountains of data and complex transactions that far too often don’t capitalize on the power of an always-on, real-time data management platform to provide both financial insights and peace of mind. Today’s cloud applications require a new, far more holistic approach to data management and data protection. This eBook explains why the scalability, 100% availability, enterprise-grade security, and real-time insights of DataStax Enterprise are essential for banking in the modern world.
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transactions, modernizing, financial insights, data management
    
Datastax
Published By: Adobe     Published Date: Mar 03, 2017
It’s time to pull your data out of silos so you can harness all your insights and provide the next best offer. Learn how to use new marketing technologies to create customized offers that steer customers to the right financial services and products for their needs. It’s all in our new white paper, More Precious than Gold. Read our paper to learn how to: • Define your customer engagement objectives • Create valuable and intriguing offers to engage customers • Effectively deliver compelling offers across multiple touch points • Optimize your next best offer through real-time testing
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data, marketing technology, customer engagement, data analysis
    
Adobe
Published By: IBM     Published Date: Jul 07, 2014
In this report, Business Value of Big Data on Power Systems, NC State University talks about unlocking the business value of big data, and how IBM Power Systems can deliver the foundation for organizations to bring insight to the point of impact faster.
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ibm, big data, analytics, power systems, business value, business insights, ibm power systems, business analytics, business intelligence
    
IBM
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