big data analytics

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Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache, networking
    
Altiscale
Published By: Storiant     Published Date: Mar 16, 2015
This Technology Spotlight examines the issues that are driving organizations to replace older archive and backup-and-restore systems with business continuity and always-available solutions that can scale to handle extreme data growth while leveraging a cloudbased pricing model.
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storiant, data growth, data center, online data, data storage, storiant, big data, analytics implementations, cloudbased pricing model, long-term storage services solution, long-term storage market, data center design and management
    
Storiant
Published By: IBM     Published Date: Jul 31, 2015
In the rapidly changing market, CSPs need big data/analytics plans that focus on customer objectives, business operations and new revenue generation.
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ibm, telecom, csps, big data, analytics plans, business operations, revenue generation
    
IBM
Published By: IBM     Published Date: Jun 20, 2014
Data can provide enormous business value if it is properly identified, analyzed, stored and managed in accordance with its changing value over the course of its lifecycle.
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ibm, big data, data storage, data analytics, data management, information management, information economics, it management, storage
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
Business analytics can empower your business managers to make more fact-based, data-driven decisions that improve operating results. Learn more in a report from Nucleus Research.
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ibm, profitability, analytics, big data, midmarket, midsize companies, data-driven decision making, predictive analytics, business intelligence, performance management, business technology
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
With so much emphasis in the business world being placed on big data and analytics, it can be easy for midsize businesses to feel like they’re being left behind. These organizations often recognize the benefits offered by big data and analytics, but have a hard time pursuing those benefits with the limited resources available to them.
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ibm, analytics, big data, midmarket, midsize businesses, data-driven insights, business insights, business value, data analysis
    
IBM
Published By: IBM     Published Date: Jul 07, 2014
The IBM Institute for Business Value conducted a global study to investigate how organizations were creating value from an ever-growing volume of data obtained from a variety of sources. This resulted from data-derived insights, which then guided actions taken at every level of the organization. The findings identified nine levers that enabled the organizations to create the most value.
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ibm, midmarket, ibm global analytics study, analytics, business insights, profitability, big data, business analytics, data-driven insights, decision making
    
IBM
Published By: IBM     Published Date: Aug 08, 2014
As executives witness data’s proven impact on performance and innovation and recognize its strategic significance, they also realize the growing need for a leader whose primary role is to understand and advocate on behalf of data: The Chief Data Officer.
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big data, analytics, technology, chief data officer
    
IBM
Published By: IBM     Published Date: Oct 30, 2014
Filled with exotic terms like “Hadoop” and “Data Scientist”, Big Data, business intelligence and analytics have always been the domain of the biggest enterprises with huge teams to devote to analyzing data. But thanks to the latest technology advances businesses of almost any size can utilize tools to help inform every part of business decision-making. This SlashGuide looks at a recent Slashdot Pulse research study on BI/BA and discusses what’s really important when it comes to Big Data – and what businesses can do now to capitalize on the trend.
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business analytics, big data, bi/ba, it management, knowledge management, data management
    
IBM
Published By: IBM     Published Date: Jan 05, 2015
Ziff Davis recently surveyed over 300 IT professionals on the state of big data and analytics initiatives in their organizations. The results tell a compelling story: while most IT pros understand the value of big data, actually operationalizing their analytics strategies to deliver usable insights to their organizations remains a challenge.
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big data, it professionals, analytics initiatives, analytics strategies, analytic solutions, it management, knowledge management, enterprise applications, data management
    
IBM
Published By: IBM     Published Date: Jan 14, 2015
Cloud-delivered big data analytics presents an enormous opportunity for organizations that want to become more agile, more efficient and more competitive. To capitalize on the full potential of this opportunity, businesses need cloud-enabled big data analysis solutions that are flexible, simple, secure and open.
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big data, data management, the cloud, cloud solutions, data, data analytics, client engagement, computing model, scale on demand, data center
    
IBM
Published By: IBM     Published Date: Jan 14, 2015
Big data has been big news in recent years. Organizations recognize that they must now begin to focus on using big data technologies to solve business problems. The pressure is on for organizations to move past the discussion phase toward well-planned projects.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics, data center
    
IBM
Published By: IBM     Published Date: Jan 14, 2015
Bloor Research investigated several key critical success factors for big data analytics. Their findings show that governance, data cleansing, and privacy and security have never been more important. Read this paper to see their conclusions.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics, data center
    
IBM
Published By: IBM     Published Date: Jan 14, 2015
Explore this interactive infographic to discover how IBM makes it possible to manage all of these priorities while significantly reducing storage and maintenance costs.
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big data, data management, data exploration, gain visibility, security extension, business intelligence, explore data, data analytics, analytics, platform investment, data center design and management, data center
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
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.
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big data, analytics, unstructured content, enterprise information, ibm, security, it management, knowledge management, storage, data management
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql
    
IBM
Published By: IBM     Published Date: May 12, 2015
This white paper describes a holistic approach to healthcare cybersecurity, which incorporates sophisticated big data analytics to help better protect and secure the vast array of data healthcare organizations maintain.
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healthcare, cybersecurity, big data, security, business technology
    
IBM
Published By: IBM     Published Date: May 20, 2015
Join our IBM Big Data analytics experts at this webinar for a discussion of how the right analytical techniques can broaden the possibilities of your analytics infrastructure.
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big data, analytics, forecasting, data management
    
IBM
Published By: IBM     Published Date: May 22, 2015
This presentation will demonstrate that it is possible to turn the promise of Big Data into business value by applying predictive analytics to Big Data sources such as Hadoop, Cloudera, and BigInsights.
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big data, analytics, forecasting, data management, hadoop
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
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data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data management, data center
    
IBM
Published By: IBM     Published Date: Jul 15, 2015
The Forrester Wave.
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big data, analytics solutions, evaluate, analytical data, strategy
    
IBM
Published By: Calpont     Published Date: Mar 13, 2012
This paper looks at advances in database analytics and how they change the playing field for marketing executives willing to seize opportunities made available by new advances in hardware and software.
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analytics, big data, online, marketing, database, database analytics, advance, hardware, software, data, information, data management, business technology
    
Calpont
Published By: SAS     Published Date: Sep 30, 2014
As analytics and Big Data have been embraced, analysts are working to become better at communicating the insights from complex analysis. This makes the use of visual analytics increasingly important as a tool to tell compelling stories and to engage decision makers in dialogue. Importantly, the best visual analytics are not necessarily the coolest, most sophisticated, or most complex. Visual analytics are most effective when there is a clear purpose and when data can be visualized and communicated in a way that is easily understandable.
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sas, big data, visual analytics
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS
Published By: SAS     Published Date: May 04, 2017
Should you modernize with Hadoop? If your goal is to catch, process and analyze more data at dramatically lower costs, the answer is yes. In this e-book, we interview two Hadoop early adopters and two Hadoop implementers to learn how businesses are managing their big data and how analytics projects are evolving with Hadoop. We also provide tips for big data management and share survey results to give a broader picture of Hadoop users. We hope this e-book gives you the information you need to understand the trends, benefits and best practices for Hadoop.
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SAS
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