data organization

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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: Oct 07, 2014
Today data is the new currency of business. But many organizations have yet to make the most of data insights that drive better outcomes. This e-book describes how businesses can manage information with greater efficiency, speed and continuity for improved ROI through.
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ibm, big data, information management, data insights, roi, it 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
Decision makers need data and they need it now. As the pace of business continues to accelerate, organizations are leaning heavily on data warehouses to deliver analytical grist for the mill of daily decisions. This Research Report from Aberdeen Group examines the benefits of data warehouse solutions that offer rapid information delivery while minimizing complexity for users and IT.
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aberdeen group, data warehouse, data center, data management, analytic tools, collaboration, data trust, data analytics
    
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: Apr 06, 2015
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.
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data discovery, data classification, security, risk, ibm, it management, knowledge management, storage, data management
    
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: 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 12, 2015
Creating more person-centric, coordinated and value-based care means all service providers must share risks and data, conducting business with partners that cross traditional boundaries, while data is transforming this industry at an unprecedented pace. Watch this webcast to learn more of how organizations are optimizing their business processes to lower costs, analyzing data to improve quality, care, and population health, while learning to engage in new ways to drive better outcomes.
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risk, data, service provider, healthcare, optimization
    
IBM
Published By: IBM     Published Date: Jul 08, 2015
While the term 'big data' has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades. IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
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IBM
Published By: Druva     Published Date: Mar 30, 2016
As information security continues to rise to the top of the enterprise priority list, what used to be an easy-to-control environment, with all data stored behind the corporate firewall, is no longer. Shadow IT, mobile computing, consumer IT, and cloud computing are all transforming enterprise IT. Workers using unsecured networks and devices without encryption are also a concern, as data breaches cost organizations millions of dollars in fines, data loss, investigations, and customer backlash.
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druva, data risks, consumer it, corporate firewall, shadow it, mobile computing, data breaches, security
    
Druva
Published By: Calpont     Published Date: Mar 13, 2012
This paper focuses on conveying an understanding of columnar databases and the proper utilization of columnar databases within the enterprise.
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columnar, databases, utilization, columnar, enterprise, data, straoge, organization, performance, delivery, information, data management
    
Calpont
Published By: Cisco     Published Date: Nov 17, 2015
Built for continuous availability in mission-critical data center environments, Cisco NX-OS has set the standard for resiliency, extensibility, efficiency, and virtualization. Now it has added programmability and automation to that list, too. For this episode of TechWiseTV, Robb Boyd talks to two foremost experts in this, the world's most deployed operating system in the data center. They discuss all the exciting changes Cisco has made to NX-OS and, more importantly, how organizations can take full advantage of this automation opportunity. This is truly a deep dive into the full potential of all the components that compose Open NX-OS.
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cisco, twtv, nx-os, virtualization, programmability, networking, security, it management
    
Cisco
Published By: VMware     Published Date: Dec 15, 2016
Organizations that invest in proprietary applications and data for competitive advantage in their industries only succeed by making those investments available to employees, customers, and partners that drive revenue and opportunity. Securing those investments requires a fresh perspective as the types of devices accessing the cloud datacenter are changing rapidly and new workloads, such as VDI desktops, are appearing more regularly alongside server workloads. These changes alter the potential attacks and potential threats to datacenters whose security primarily stands firm at the perimeter, however, within the data center the security is weak. By combining VMware NSX with the AirWatch Tunnel and/or VMware Horizon View, organizations are able to bridge the device to datacenter security gap in a way that both increases the overall security of the cloud datacenter and makes it far simpler to manage security through defining and delegating application and services to specific users. Thi
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VMware
Published By: VMware     Published Date: Dec 27, 2016
With Windows 10, Microsoft brings to market a mobile and cloud-ready OS that is poised to have a significant impact on organizations’ end user computing (EUC) strategy. The modern OS offers a unified platform for building apps and extending the organization’s core processes to end users anywhere and using any Windows 10-powered device. However, enterprise wide execution of this business mobility vision comes with its own set of challenges. A 2015 VMware study involving 1,000+ IT decision makers identified the following top concerns for adoption of mobility initiatives: Reduce the overall cost and complexity of management Ensure security and control of devices at all times Minimize the risk of corporate data loss With a unified endpoint management vision, VMware AirWatch® is strategically positioned to address these challenges. AirWatch's EUC solution enables organizations to fully capitalize on their mobility initiatives and IT departments to redefine themselves as true business enab
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VMware
Published By: IBM     Published Date: Sep 04, 2014
This IDC Technology Spotlight paper takes a look at why Email remains the primary mode of communication in business today. While there is prevalent speculation that social software and other real-time communications applications will replace email, email nevertheless remains a stalwart in business operations. In addition, as relationships across all business communication channels continue to be redefined, innovative modes and methods of communication are emerging. As a result, locating the right data and information at the right time — while still critical — becomes increasingly complex. IDC expects that organizations will use social software, such as Notes and Domino 9x Social Edition, to complement existing tools and address these business needs for the foreseeable future.
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ibm, collaboration, email communication, real time communication, business communication, social software
    
IBM
Published By: Cornerstone OnDemand     Published Date: Jun 29, 2018
Unified talent management is a term used for talent management software solutions that handle all pieces of the talent lifecycle in a single platform that shares data across all aspects of an employee’s career. Unified talent management technology solutions can help organizations define and use the same criteria for selection, performance management, and development planning, providing visibility into the entire talent pool.
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management, talent, goverment, workforce
    
Cornerstone OnDemand
Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas’ information evolution model
    
SAS
Published By: SAS     Published Date: Sep 30, 2014
Stop to think about how – and how often – your business interacts with customers. Every day, with each interaction, data is created. What percentage of the data generated by these interactions are you using? There are so many channels for interaction, like social media, call centers, sales staff, help and support resources, marketing and campaigns. Typically, organizations believe that they are using only a small fraction of it effectively – at best, upwards of 10 percent of all the available data. Why? One reason relates to the difficulties in collecting all this data. This limitation is beginning to wane as commodity hardware becomes increasingly popular for big data storage. But another major inhibitor to examining all customer data has been the inability to examine millions, or even billions, of data points that constitute the customer picture. And much of this is now in the form of unstructured text inputs.
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sas, text analysis visualization, voice of the customer, unstructured text inputs, business technology
    
SAS
Published By: SAS     Published Date: Sep 30, 2014
This piece explores some of the social, technological, data, and business trends driving the visual organization. We will see that employees and organizations are willingly representing—or, in some cases, being forced to represent—their data in more visual ways.
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sas, visual organizations, data visualization, big data
    
SAS
Published By: SAS     Published Date: May 12, 2016
This paper examines the barriers to adoption from an IT and end-user perspective, and shows how self-service analytics in general – and SAS Visual Analytics in particular – can eliminate these barriers. Self-service analytics empowers users to truly exploit the wealth of data available to them, while ensuring that the IT organization maintains governance and control over that data.
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sas, business analytics, it organization, networking, it management, wireless, data management, business technology
    
SAS
Published By: SAS     Published Date: Apr 25, 2017
If you’re in the data world, you know it’s full of discord. Multiple data sources, inconsistent standards and definitions, inaccurate reports and a lack of governance are enough to derail any organization. What’s an enterprise architect to do? With the right data governance and master data management (MDM) solution, you can set and enforce policies and establish a consistent view of your data without micromanaging it. You can eliminate duplicate and inconsistent data. You can combine traditional data and new big data sources – like streaming data from the IoT – into one harmonious view. Read this e-book for expert advice and case studies that will show you new ways to manage your big data – and make sure everyone’s on the same page.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS
Published By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.
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SAS
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