data analytics

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By: Teradata     Published Date: Jan 16, 2015
Teradata Analytics for SAP success story with customer BCC, an electronic retail company based in the Netherlands.
Tags : teradata, sap, electronic retail, sap success, data management
     Teradata
By: Teradata     Published Date: Jan 16, 2015
Companies that use SAP® need to have a method to access all valuable information that is recorded in order to make the best business decisions and establish a sustainable competitive advantage. With Teradata Analytics for SAP®, Lamb Weston, a global frozen potato product producer, has been able to generate their business intelligence reports quickly and effortlessly. BI that lets you focus on running the business…Download now!
Tags : teradata, sap, product producer, sap success, data management
     Teradata
By: Teradata     Published Date: Jan 16, 2015
NedTrain, a maintenance and cleaning service provider for locomotives, turns to Teradata Analytics for SAP® to unlock the valuable insight hidden in their newly implemented SAP® R/3 system. Impact and encourage positive end results...Download now!
Tags : teradata, sap, maintenance, cleaning service provider, locomotives
     Teradata
By: Teradata     Published Date: Jan 16, 2015
Teradata® Analytics for SAP® Solutions performs high-value business analytics on integrated data.
Tags : data analytics, high-value, integrated data, intelligence, data management
     Teradata
By: Teradata     Published Date: Jan 16, 2015
This data sheet introduces Teradata Analytics for SAP® product, modules and business value.
Tags : analytics, sap solutions, modules, business value, data, data management
     Teradata
By: Dassault Systèmes     Published Date: Jul 21, 2017
Obtaining a first-mover competitive advantage or faster time-to-market requires a new wave in analytics. Dassault Systèmes remains a leading innovator in Product Lifecycle Management (PLM) and has invested heavily in analytical technologies to further drive business benefits for its customers in the related areas of planning, simulation, insight and optimization. This white paper examines the challenges peculiar to PLM and why Dassault Systèmes’ EXALEAD offers the most appropriate solution. It also clearly positions EXALEAD PLM Analytics alongside related technologies like BI, data-warehousing and Big Data solutions. Understand and implement PLM Analytics to access actionable information, support accurate decision-making, and drive performance.
Tags : product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed
     Dassault Systèmes
By: Infor     Published Date: Mar 07, 2017
Big data is more than a buzz word. In recent years, analytics systems have quickly become an essential tool for businesses to gather and interpret various forms of information.
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     Infor
By: Sophos     Published Date: Mar 30, 2017
Threats are becoming increasingly dynamic, forcing organizations to defend against both traditional malware and new advanced attacks. As a result, more and more organizations are making the switch to next-gen endpoint protection from Sophos to get the proven, innovative defense they need. Read this solution brief to learn how Sophos Next-Gen Endpoint Protection delivers the protection, usability and support required to stay ahead of the constantly evolving threat landscape.
Tags : cyber attacks, data protection, it security, security solutions, system protector, web security, analytics
     Sophos
By: Teradata     Published Date: May 02, 2017
As companies consider incorporating enterprise-level cloud services offered by Amazon Web Services, Microsoft Azure, Teradata, and others, many challenges arise related to data security, integration into existing data architecture, and analytics activities themselves. Download this article to understand these and other considerations for evaluating and adopting a cloud strategy for your enterprise, and what it means for analytics.
Tags : cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
     Teradata
By: Teradata     Published Date: May 02, 2017
Should the data warehouse be deployed on the cloud? Read this IDC Research Spotlight to learn more.
Tags : data warehouse, data storage, data management, data analytics, data preparation, data integration, system integration
     Teradata
By: Teradata     Published Date: May 02, 2017
To understand the challenges and opportunities with the Internet of Things, MIT Sloan Management Review’s 2016 Global Executive Study conducted a comprehensive study with business executives, managers, and IT professionals globally. Through the survey results and interviews with subject matter and industry experts, MIT Sloan Management Review was able to reveal the business value and competitive issues from the Internet of Things (IoT). This comprehensive report dives into data sharing with competitors, analytic talent management, and the intersection with governing the data. Analytics is unsurprisingly is shown as the key to IoT success.
Tags : data, sharing, analytics, iot, mit
     Teradata
By: Pure Storage     Published Date: Oct 09, 2018
Apache® Spark™ has become a vital technology for development teams looking to leverage an ultrafast in-memory data engine for big data analytics. Spark is a flexible open-source platform, letting developers write applications in Java, Scala, Python or R. With Spark, development teams can accelerate analytics applications by orders of magnitude
Tags : 
     Pure Storage
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
By: IBM     Published Date: Jan 27, 2016
Read this white paper to discover how predictive analytics and cognitive commerce make it possible to get instant access to integrated information and actionable insights so you can deliver superior—and profitable—interactions with customers.
Tags : ibm, data, insights, results, analytics, cognitive commerce, knowledge management, enterprise applications
     IBM
By: IBM     Published Date: Apr 11, 2016
This paper explores why your business needs the latest operational decision management (ODM) solutions to help turn data insights into action. Discover how IBM Operational Decision Manager software and the IBM Business Process Manager platform work together to: *Recognize patterns that suggest opportunity or risk *Create and shape business events by automating decisions *Bring more dimension and precision to decision making by applying analytics to big data *Help you implement the right business processes by understanding data in context.
Tags : ibm, smarter process, operational decision management, odm, knowledge management, enterprise applications, business technology
     IBM
By: IBM     Published Date: Apr 19, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data management
     IBM
By: IBM     Published Date: Apr 19, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, data management
     IBM
By: IBM     Published Date: Apr 19, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselves, to respond to the market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization, data management
     IBM
By: IBM     Published Date: Apr 22, 2016
The upside of disruption: Reinventing business processes, organizations and industries in the wake of the digital revolution
Tags : ibm, ibm big data and analytics, ibm big data, trusted data, big data, data management
     IBM
By: IBM     Published Date: Apr 22, 2016
This white paper explains the value of putting data and insight to work to accelerate an organization’s journey to becoming a Cognitive Business, by enhancing their investments in data and analytics and realizing new opportunities from cognitive systems that understand, reason and learn.
Tags : ibm, ibm analytics, cognitive business, watson, think data, knowledge management, enterprise applications, data management
     IBM
By: IBM     Published Date: Apr 22, 2016
Developing a data integration and lifecycle management strategy for a hybrid environment This e-book focuses on building and executing a data integration and lifecycle management strategy.
Tags : ibm, think data, integration, lifecycle strategy, ibm analytics, knowledge management, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 05, 2016
Today's data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges, while maintaining an effective analytical culture, many organizations are exploring cloud-based environments coupled with powerful business intelligence (BI) and analytical technology to accelerate decisions and enhance performance.
Tags : ibm, datamart on demand, analytics, cloud, hybrid cloud, business insight, knowledge management, enterprise applications
     IBM
By: IBM     Published Date: Jul 05, 2016
Cloud-based data warehousing as-a-service, built for analytics
Tags : ibm, dashdb, data, analytics, data warehouse, cloud, analytics, business insights
     IBM
By: IBM     Published Date: Jul 05, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, knowledge management, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 05, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, knowledge management, data management
     IBM
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