data analytics

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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, data management, business technology
     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, business technology
     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, business technology
     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, data management, business technology, data center
     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, knowledge management, enterprise applications, data management, business technology, data center
     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, business technology, data center
     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, data center
     IBM
By: IBM     Published Date: Jul 05, 2016
In an environment where data is the most critical natural resource, speed-of-thought insights from information and analytics are a critical competitive imperative.
Tags : ibm, data warehouse, big data, analytics, data warehouse, business intelligence, knowledge management, data management, data center
     IBM
By: IBM     Published Date: Jul 06, 2016
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base.
Tags : ibm, mdm, big data, data management, data matching, customer analytics, data center
     IBM
By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : ibm, idc, big data, data, analytics, information governance, knowledge management, data management, data center
     IBM
By: IBM     Published Date: Jul 08, 2016
This paper from Osterman Research, explores the origins of the "information problem" many organizations are now facing and presents a detailed discussion of how to calculate your current information costs as well as how to calculate the ROI of an information governance program.
Tags : ibm, osterman, roi, big data, data, analytics, information governance, knowledge management, data management, data center
     IBM
By: IBM     Published Date: Jul 08, 2016
Read this Forrester whitepaper to learn more about the critical, yet often overlooked, role that data classification and data discovery can play in reducing your organization’s risk and enhancing security.
Tags : ibm, forrester, data discovery, big data, data, analytics, information governance, knowledge management, data management
     IBM
By: IBM     Published Date: Jul 12, 2016
Informative infographic featuring case management and data capture solutions to put the customer experience first.
Tags : ibm, ecm, data analytics, analytics, big data, customer experience, knowledge management, enterprise applications, data management, data center
     IBM
By: IBM     Published Date: Jul 14, 2016
How do you keep 130,000 guests safely entertained, fed, watered and informed in a sustainable way? Roskilde Festival knew that the critical insights lay hidden in huge volumes of real-time data. The Copenhagen Business School used IBM technologies to build a cloud big data lab that correlates information from multiple sources, delivering valuable insight for planning and running the festival. Download to learn more.
Tags : ibm, datamart on demand, data, analytics, big data, real-time data, cloud, cloud data analytics, knowledge management, enterprise applications, data center
     IBM
By: IBM     Published Date: Jul 14, 2016
This video describes how data scientists, analysts and business users can save precious time by using a combination of SPSS and Spark to uncover and act on insights in big data.
Tags : ibm, data, analytics, predictive business, ibm spss, apache spark, coding, data science, software development, enterprise applications, data management, business technology, data center
     IBM
By: IBM     Published Date: Jul 14, 2016
IBM SPSS Solutions offer a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end.
Tags : ibm, big data, data analytics, ibm spss, predictive business, enterprise applications, data management, business technology, data center
     IBM
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