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By: IBM     Published Date: Feb 04, 2016
IBM Operational Decision Manager Advanced applies insights and analytics to operational decisions by bringing together data from different sources and looking at historical trends and patterns to determine the next best action. With IBM Operational Decision Manager Advanced, you gain scope, scale, speed, and simplicity. You can now capture events, build context, and apply it to operational decisions in real-time. This helps detect situations as they occur – presenting risks or opportunities – to enable action.
Tags : analytics, ibm, operational decision manager, operations, brand, data, big data, trends
     IBM
By: IBM     Published Date: Apr 06, 2016
The information explosion, the proliferation of endpoint devices, growing user volumes and new computing models like cloud, social business and big data have created new vulnerabilities. Data security is a moving target—as data grows, more sophisticated threats emerge; the number of regulations increase; and changing economic times make it difficult to secure and protect data. Because data is a critical component of daily business operations, it is essential to ensure privacy and protect data no matter where it resides. Different types of information have different protection requirements; therefore, organizations must take a holistic and systematic approach to safeguarding information.
Tags : ibm, data security, risk management, big data, security
     IBM
By: IBM     Published Date: Apr 21, 2016
"Reshaping trading partner communities with growth, agility and scalability View this ebook to learn how leading organizations are managing, deploying, designing or planning cloud-based B2B integration alternatives to future-proof their B2B trading operations. Discover the benefits that clients of IBM B2B Cloud Services cite, including: - Reduced risk and total cost of ownership (TCO) in B2B integration - Enhanced visibility and control over business processes shared with partners - Faster partner onboarding and faster, more reliable data exchange - Greater collaboration across IT, business managers and external partners"
Tags : ibm, b2b, cloud, b2b integration
     IBM
By: IBM     Published Date: Oct 11, 2016
View this ebook to learn how leading organizations are managing, deploying, designing or planning cloud-based B2B integration alternatives to future-proof their B2B trading operations. Discover the benefits that clients of IBM Sterling B2B Cloud Services cite, including: -Reduced risk and total cost of ownership (TCO) in B2B integration - Enhanced visibility and control over business processes shared with partners - Faster partner onboarding and faster, more reliable data exchange - Greater collaboration across IT, business managers and external partners
Tags : ibm, commerce, b2b, b2b integration, cloud, advantage cloud
     IBM
By: IBM     Published Date: Dec 15, 2016
The IBM DataPower Operations Dashboard provides the most robust solution in the marketplace for monitoring DataPower gateways and performing trouble-shooting & analysis. Administrators can view operational data with full-text search to immediately diagnose errors and highlight impact analysis, DevOps can view and troubleshoot their own DataPower services, and business owners can generate automated reports to meet SLA and compliance requirements without assistance from centralized IT.
Tags : ibm, middleware, ibm datapower gateways, ibm datapower operations dashboard
     IBM
By: IBM     Published Date: Jul 17, 2018
Ensuring your data is compliant can be a fairly straightforward task. Your IT team works their way through the checklist, and stays out of trouble with lawyers and regulatory agencies. There’s value to that. But true data protection is more than regulatory compliance. In fact, even if you’re compliant, your organization could still be at risk unless you strategically identify and protect your most valuable data. Traditionally, you’ve been presented with IT security metrics—sometimes reassuring, other times alarming. But simply reviewing IT security metrics is not meaningful in and of itself. As an executive, you don’t evaluate issues in siloes. Instead, you excel at assessing issues in the broader context of your organizational operations. In other words, technical security data and metrics lack value unless viewed through the lens of business risk. When you’re presented with IT security metrics, your question is: What does this mean for my business? And ultimately, what data should I
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     IBM
By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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     Group M_IBM Q418
By: VMware     Published Date: Aug 09, 2012
Small and midsize firms virtualize IT infrastructure to meet real-world challenges: simplifying operations to focus on business issues, speeding up application rollouts to get more done, safeguarding data and operations to stay open and productive,
Tags : vmware, virtualization, infrastructure, data protection, data security
     VMware
By: TAKE Supply Chain     Published Date: Mar 18, 2016
This ebook explores: 1. Typical gap areas between revenue & expense operations 2. Strategy for what to address and in what order 3. Leveraging the majority of existing tools & systems 4. Benefits of integrating revenue & expense data
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     TAKE Supply Chain
By: Hewlett-Packard     Published Date: Aug 02, 2013
"Cloud computing, also known as 'IT as a Service', is predicated on delivering IT services on demand, an idea that has support from business leaders as a way to better align IT with business operations. Cloud computing has two key requirements: virtualized applications and seamless support and integration between the server, networking, storage and hypervisor components. In this paper, we explore these concepts and highlight the critical features necessary to move beyond server virtualization by leveraging key integration capabilities between IT components-with a particular focus on the important role that storage plays in the evolution of the datacenter architecture."
Tags : datacenter, architectures, cloud, virtualization
     Hewlett-Packard
By: Splunk Inc.     Published Date: Jun 02, 2009
This document explains IT Search's ability to instantly search all the data generated by applications, servers and network devices in your IT infrastructure. Download to learn more today!
Tags : operations, it search, data center, splunk, business intelligence, compliance, security, it infrastructure
     Splunk Inc.
By: SAS     Published Date: Aug 28, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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     SAS
By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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     SAS
By: Cisco     Published Date: Nov 17, 2014
The desire to invest in antimalware software can be stated simply: avoid malware infection. Malware can create back doors into your network; puts your information, assets, and sensitive intellectual property in peril; and ultimately jeopardizes your business operations, resulting in unspecified collateral damage to your brand. This paper discusses Large-scale data mining technologies, Cloud computing platforms and Deep-seated knowledge of threats facing enterprises.
Tags : cloud-computing, malware, cisco, malware infection, amp, security
     Cisco
By: IBM     Published Date: Oct 31, 2013
IBM Business Analytics help managers in different areas of the marketing organization do their jobs more effectively. Watch this video to see how: 1. Demand generation managers can target the most profitable customers with the right offer at the right time. 2.Marketing operations managers can review the results of multiple campaigns from a single marketing performance dashboard. 3. Brand managers can blend data from blogs, forums and social websites with CRM data to see how people really regard the company’s brand. Watch this video to see how IBM helps you make smarter marketing decisions, faster.
Tags : roi, return on investment, marketing analytics, performance analytics, business analytics, metrics, data, driver-based campaign
     IBM
By: IBM     Published Date: Jan 09, 2014
How can your midsize business meet new demands for data storage with limited resources? In this eguide, you’ll find out that this innovative solution can radically improve storage performance—while minimizing expenses
Tags : ibm, storwize eguide, data storage, modern technology, virtual storage, gartner research, innovative data, storage maintenance
     IBM
By: Epicor     Published Date: Jun 22, 2015
If you’re like most corrugated packaging manufacturers, your company operates multiple plants where each plant uses a different enterprise resource planning (ERP) system. This arrangement of multiple ERP systems could be costing you valuable time and money and promoting inefficiencies such as manual data entry. Upgrading to a single ERP system designed for multi-plant operations can help you solve these issues and more. View this whitepaper for eight ways to improve efficiencies with a single ERP system designed for multi- plant operations
Tags : erp system, corrugated packaging manufacturers, business operations, manual data entry
     Epicor
By: RF Code     Published Date: Sep 03, 2014
A conversation in 2011 between Joel Stone, Vice President of CenturyLink’s Global Data Center Operations and John Alaimo, CenturyLink Data Center Systems Engineer, raised an interesting question: ‘How can we lower the amount we are spending on powering and cooling our data centers?’ Click here to find out how.
Tags : rf code, power and cooling, data center, it spending, energy, energy spending
     RF Code
By: CA Technologies     Published Date: Aug 19, 2014
The data center is getting bigger and more complex and so too is the asset inventory. Every new asset has an impact on the day–to–day operations of the data center – from power consumption and problem resolution to capacity planning and change management.
Tags : ca technologies, dcim, asset management, power, power and cooling, data center energy
     CA Technologies
By: CA Technologies     Published Date: Aug 19, 2014
To help organizations plan their DCIM roadmap, this paper explores five essential DCIM use cases and outcomes. From better asset utilization and faster provisioning to maintaining availability, greater efficiency and smarter capacity planning, we look at how DCIM can close the operational and optimization gap for both IT and facilities.
Tags : ca technologies, it operations, dcim, data center management, data center capacity, performance management
     CA Technologies
By: QTS     Published Date: May 28, 2015
Some companies attempt to solve this by hiring a new manager or promoting someone up the ranks, but that only leads to another individual in charge with his or her own ideas of how best to manage facilities. The real problem goes unaddressed.
Tags : qts, network operations, critical facilities, data center, efficiency
     QTS
By: IBM     Published Date: Jul 09, 2014
Most organizations are managing data sets that are larger than ever before, where many security offenses can be hidden and undetected, posing severe risks to business operations and the protection of sensitive, private information. Watch this video and learn how these exposures can be addressed with IBM's integrated Security Intelligence and Big Data solution.
Tags : ibm, security, cyber security, security intelligence, big data, visibility, threat detection
     IBM
By: IBM     Published Date: Jul 22, 2014
Listen to an interactive discussion (socialcast) with a select group of IBM Data Scientists that goes beyond the tools and tackles new ways your business can use data.
Tags : ibm, it operations analytics, it operations, analytical applications, data, big data, it app infrastructure, cloud
     IBM
By: IBM     Published Date: Apr 15, 2015
Technology Adoption Analyst whitepaper by Forrester. This IBM-commissioned profile of IT operations decision-makers at enterprise companies in the US, UK and Germany evaluates IT operations analytics adoption, benefits, and challenges based on Forrester’s own market data and a custom study of the same audience.
Tags : ibm, it operations, decision makers, analytics, market analysis
     IBM
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.
Tags : ibm, collaboration, email communication, real time communication, business communication, social software
     IBM
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