With interactive relationship marketing, businesses can build relationships that captivate and motivate prospects and customers across an entire buying lifecycle, while providing measurable results. The digital platform these programs run on should support a long-term vision for the role of IRM, encompassing a complete range of services and facilities in an integrated management and communication systems. Learn more today!
This report covers the challenges of first generation deduplication technology and the advantages of next-gen deduplication products. Next generation Dedupe 2.0 systems use a common deduplication algorithm across all storage systems-whether they're smaller systems in branch offices or large data center storage facilities. That means no more reconstituting data as it traverses different storage systems, which saves bandwidth and improves performance.
The SANS 2015 Incident Response survey results reveal an increasingly complex response landscape and the need for automation of processes and services to provide both visibility across systems and best avenues of remediation. Read this paper for coverage of these issues, along with best practices and sage advice.
By having a strong grip on strategic projects across a global organization, business leaders can ensure the right projects are getting the right resources, and measure their success according to criteria that reflect strategic priorities. In this executive brief, Harvard Professor Robert Kaplan walks through his six-stage system for integrating strategy and execution using the balanced scorecard. The combination of measuring performance and leveraging software tools designed to track a global portfolio of projects and initiatives can help businesses achieve breakthrough performance.
Choosing the right solution to automate your business processes or meet specific business process needs isn’t easy. While a broad array of functionality is available, from BPM suites to custom applications that meet specific business needs, different solutions have differing capabilities and strengths across a variety of categories. In the following RFI, we’ve honed in on eight key areas for business process automation success to help you evaluate the quality of the platforms you are considering – and to ensure that the system you choose is agile and flexible enough to meet your business needs.
We’re experiencing a data explosion. By 2020 the data we create and copy annually will reach 44 trillion gigabytes.1 As this data disseminates into the workplace, companies add hardware and software systems to store, protect and manage it all. While data can help solve business problems, data is most helpful when it reaches those who can use it. Companies need to build Microsoft SharePoint apps that integrate with other line-of-business (LOB) systems so users can take full advantage of this data explosion.
But the reality of creating apps that integrate data across organizational systems presents an intimidating challenge. To integrate multiple isolated data sources into an application that transforms data into useful information requires technical expertise, coding and ongoing maintenance. Integration also raises security and governance concerns. So it’s no surprise that only 47 percent of SharePoint users have connected their SharePoint apps with other systems.2 As a result, nearly
Published By: AuditBoard
Published Date: Nov 26, 2018
When the IASB and FASB issued a joint press release on May 28, 2014 1 announcing new revenue recognition standards for revenue from contracts with customers, the adoption deadline seemed a long way off. After pushback from companies across various industries, the implementation date was extended by one year, granting companies more time to update their policies and systems to adhere to the new standards.
Across the automotive industry, organizations are using analytics to transform all aspects of their business. In the vast
majority of instances, the analytics performed is on data that is already available within the organization or wider automotive ecosystem, but has not yet been tapped to use its full potential. Analytics can unlock the value held in this data, helping to answer key “what if” questions across the organization and the value chain. For example, what if dealerships could better understand their customers’ digital journey? Or what if manufacturing could improve visibility into parts, assembly and vehicle inventory?
Securing mobile productivity for Microsoft Office 365: IBM MaaS360 enables you to deploy Microsoft tools with robust security across all mobile platforms
This white paper explains why IBM MaaS360 is the right choice for deploying and securing the Microsoft ecosystem across all mobile platforms, including Microsoft Windows 10. The focus is on enabling IT to efficiently manage enterprise productivity, connectivity and security in the mobile world of today and tomorrow.
IBM solutions provide security intelligence across the enterprise with integrated threat analysis, real-time alerts, audit consolidation and compliance reporting to help protect against threats with a single view into the risks affecting mainframe and distributed systems.
Driven by demands to unify and extend protection across a broad spectrum of threats, EMA sees in this trend the rise of Converged Network Security (CNS) systems that integrate a wide range of capabilities and break down silos in network defense more than ever before. Scott Crawford, Managing Research Director, Security and Risk Management at EMA Research highlights specific examples of the ways in which these converged security systems put today’s more advanced capabilities to work in practical application. The IBM Security Network Protection XGS 5000 is profiled as an example of this trend, delivering not only intelligence driven, application aware defense against a variety of threats, but also the extensibility required to equip today’s organizations to confront whatever may come tomorrow.
Agile methods have proven effective for software development and have grown in popularity across a number of software disciplines. Agile methods build capabilities using an iterative approach, as opposed to traditional approaches where requirements are defined early and designs are completed in full before a single line of code is written. Agile incrementally defines requirements with priorities, partial component designs and working systems that evolve through iterations called sprints.
The question remains, however: Do the 12 agile principles apply to more than just software? Agile principles are in line with lean management’s approach. Given that, it seems as though agile principles should directly apply beyond software development. However, the answer is not straightforward, because differences between software and physical components affect how agile is applied. Let’s explore how agile can be applied in light of these differences.
In this webinar, you will learn about the availability of SAP HANA across the entire IBM Power Systems line with pre-sized IBM POWER8 configurations that are optimised for SAP HANA, highly available/disaster recovery options for SAP HANA on Power Systems deployments, and systems management solutions to maintain the SAP HANA systems. You will also hear client use cases on why they chose to implement their SAP HANA solution on IBM Power Systems..
For years, executives have been automating for efficiency, freeing workers from repetitive
tasks, streamlining the back office and looking for cost savings. Now, they are exploring
intelligent automation to establish thinking processes—processes that communicate realtime insights to employees, customers and partners across an expanding ecosystem. The
ability to add intelligence to automation opens a new universe of possibilities that will have
a profound impact on the way organizations operate and the way work gets done. More than
anything else, intelligent automation will be a defining factor for the future workforce.
Many new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data.
To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
A powerful signal integrity analysis tool must be flexibility, easy to use and integrated into an existing EDA framework and design flow. In addition, it is important for the tool to be accurate enough. This report reviews a validation study for the Mentor Graphics HyperLynx 8.0 PI tool to establish confidence in using it for power integrity analysis.
For advanced signaling over high-loss channels, designs today are using equalization and several new measurement methods to evaluate the performance of the link. Both simulation and measurement tools support equalization and the new measurement methods, but correlation of results throughout the design flow is unclear. In this paper a high performance equalizing serial data link is measured and the performance is compared to that predicted by simulation. Then, the differences between simulation and measurements are discussed as well as methods to correlate the two.
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property.
However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic:
• Holistic. All aspects of data usage and maintenance are taken into account in establishing
• Pragmatic. Political challenges and cross-departmental struggles are part of the
equation. So, the tactical deployment must be delivered in phases to provide quick
“wins” and avert organizational fatigue from a larger, more monolithic exercise.
To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
How can you open your analytics program to all
types of programming languages and all levels of
users? And how can you ensure consistency across
your models and your resulting actions no matter
where they initiate in the company?
With today’s analytics technologies, the conversation
about open analytics and commerical analytics is no
longer an either/or discussion. You can now combine
the benefits of SAS and open source analytics
technology systems within your organization.
As we think about the entire analytics life cycle, it’s
important to consider data preparation, deployment,
performance, scalability and governance, in addition
to algorithms. Within that cycle, there’s a role for
open source and commercial analytics.
For example, machine learning algorithms can
be developed in SAS or Python, then deployed in
real-time data streams within SAS Event Stream
Processing, while also integrating with open systems
through Java and C APIs, RESTful web services,
Apache Kafka, HDFS and more.
IBM has used the Storwize architecture to produce multiple storage systems across different usage segments to meet different customer needs. The ability to scale with a common underlying architecture has proven to deliver multiple benefits to IBM customers. Features developed for high-end enterprise systems now meet customer needs in other, more price conscious segments. The leverage from a common base for systems helps reduce development and support costs which are reflected in product costs for customers. The Storwize architecture also builds on Intel-based hardware, which provides continued advances with each new generation yet retains the same fundamental architecture. Customers also benefit from a storage architecture that provides a consistent experience across multiple products and generations.
Published By: SilverSky
Published Date: Apr 16, 2013
SilverSky operates a major hosted infrastructure dedicated to providing world-class enterprise messaging solutions. This whitepaper is an in-depth overview of our Hosted Microsoft Exchange architecture and how we implement best practices across systems management, testing, application deployment, infrastructure and security to provide increased productivity and reduced costs.
Today’s consumers expect better service, better products, and better communication with retailers. Without a single view of the customer across all channels – including social media – retailers risk alienating customers and driving them to other brands. To meet these challenges, many retailers are deploying software-as-a-service (SaaS) contact center systems that address these problems and create new opportunities. This eBook follows one shopper’s journey and how the concept of the contact center of the future provides the better overall experience.
Two years ago Clabby Analytics wrote a report that evaluated Cisco’s Unified Computing System (UCS) and revealed shortcomings in the UCS design, stating that Cisco blade environments are “good enough” computing environment. Since then Cisco made improvements to their system design, but the blade market didn’t stand still waiting for them to catch up as IBM announced a new system design: the IBM Flex System. Continue on to this new assessment from Clabby Analytics that compares Cisco’s UCS blade server offering to IBM Flex System’s in a soup-to-nuts evaluation. Also find out how these two major players compare to the competitors in the blade marketplace.
Cisco commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying the Cisco Data Virtualization solution. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of investing in the Cisco Data Virtualization solution for their organizations.
To better understand the benefits, costs, and risks associated with Cisco Data Virtualization, Forrester gathered data through interviews with customers who had multiple years’ experience using the solution. All organizations used Cisco Data Virtualization as a single data virtualization integration platform to query and access data across their network. This includes accessing data that resides on the cloud and on-premises across various sources and systems.
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Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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