Data Management comprises all the disciplines related to managing data as a valuable resource. Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.
DevOps is a hot topic inside many Enterprise IT organizations today, because of the operational and development efficiencies it can bring. Join Gigaom Research and our sponsor CenturyLink for “DevOps, Weaving Development and Operations Together in the Enterprise,” a free analyst webinar on Thursday, October 30th, 2014 at 10 a.m. PT.
Predictive analytics is a very useful way to "maximize the lifetime value of a customer," which, in many cases, involves optimizing marketing campaigns, increasing website interactions, converting clicks into conversions, and generally providing an intelligent next-best offer. This Roundtable Webcast will explore some of the ingenious ways predictive analytics is being used and driving positive outcomes.
In this Gigaom Research Webinar, we will discuss the potential for responsive design, evaluate use cases for the landscape of options available choices, and suggest a strategy for choosing the blend of tools, services, and methodologies that produces a performant, manageable, responsive site.
In this first-release MQ, Gartner evaluates providers on service delivery, B2B Network/Collaboration, Integration Functionality and success in capitalizing on vision. Rated against an extensive 15-criteria evaluation, IBM earned one of only three Leader positions, and outpaced the competition in "completeness of vision," signifying our strength in delivering the most competitive solution to the marketplace.
According to a study from the Aberdeen Group, the number of companies starting initiatives for collaboration has doubled in the last two years. Their research indicates that collaborating with customers and collaborating with partners are both in the top five actions being taken by survey respondents.
Just “keeping the lights on” in the server room is highly complex and largely inefficient. Maintaining IT infrastructure, system interdependencies, and application interoperability tie up valuable personnel and resources. The old way of simply throwing more hardware capacity at a problem can only serve to increase the complexity and further dampen productivity.
In a perfect world, the infrastructure—hardware and software—would have been built as an integrated but scalable unit from the ground up. In our world, though, the best new systems combine independent pieces of IT infrastructure to form simplified computing platforms, freeing up IT to focus on business innovation rather than infrastructure management.
Welcome to the new world of IT.
Integrated Computing (IC), also known as Converged Infrastructure, stands to revolutionize everything about IT. IC takes all of virtualization, storage, networking, and compute into a single system and allows total infrastructure oversight through one console. As you can imagine, the improvements in ease of use, agility, and efficiency are quite substantial.
This is essential because infrastructure maintenance devours about three-fourths of annual IT budgets. IC changes all of that, delivering high efficiency solutions for the lifecycle of system,reducing costs and freeing up valuable personnel.
The evolution of IT awaits.
Overcoming IT’s operational challenges based on infrastructure complexity is a serious issue.Not only is a piecemeal architecture difficult and inefficient to manage, but it is also very expensive when the Total Cost of Ownership is considered. Reducing that complexity not only frees up personnel but also budgetary resources.
Converged Infrastructure offers the opportunity for organizations to drastically increase their IT and user productivity at a significantly lower TCO. Improved IT efficiency and agility accelerates time to value by a significant margin.
See a simpler, more efficient infrastructure here.
Four technology trends—cloud computing, mobile technology, social collaboration and analytics—are shaping the business and converging on the data center. But few data center strategies are designed with the requisite flexibility, scalability or resiliency to meet the new demands. Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
In this webinar, a panel of experts will examine infrastructure security needs. The discussion will provide a framework for addressing the data protection and privacy gaps and include metrics that can help businesses benchmark the success of their investments. The webinar will also present real-world case studies and cloud data protection best practices.
Doing Big Data and NoSQL in the public cloud sounds great, but at some point, someone has to write a check to make it happen. Is there a strong financial argument for making this move? Can you start small and grow larger easily? This paper answers this question with a detailed Total Cost of Ownership (TCO) analysis for open source data management in the public cloud. Contrasting cloud deployments on the standard vs hyperscale CenturyLink Cloud stack Powered by Intel Cloud Technology, versus the on-premise analogue, the paper models the relative financial merits of each approach. The paper considers the best potential use cases for on-premise versus cloud and walks through an example use case to show the impact to business outcomes (time to results, cost, TCO). Cost factors compared include:
Enterprises that run big data in the public cloud can achieve many of the benefits common to any cloud deployment, including lower costs, greater flexibility, and faster deployments. And now, with the Cloudera Enterprise Data Hub in the CenturyLink Cloud, enterprises can do even more.
This paper highlights the performance benefits and other advantages of combining Cloudera’s expertise in large-scale data management and analytics with CenturyLink Cloud’s high-performance Hyperscale solution.
Why Cloudera on CenturyLink Cloud?
• Faster time to insight
• Scalable data management
• On-demand processing power and flexible deployments
• Greater efficiency for increased cost savings
Digital capture is a key enabling technology in a business world striving to balance the shifting advantages and requirements of paper and digital documentation. This paper takes a closer look at the technology behind data capture, explaining some of the sub-technologies involved and highlighting the key challenges presented by data capture in the enterprise.
So far, most data centers have virtualized their least-critical workloads as a matter of basic cost containment. Virtualizing mission-critical applications is still forthcoming for the majority,though, largely due to infrastructural concerns. Complicating matters is the shift in IT purchasing decisions from IT to business management.
Integrated Computing Platforms (ICPs), private cloud computing, and public cloud services all leverage virtualization to achieve a number of IT and business goals, including increased ROI, reduced OpEx, and business process improvement. Now more than ever, it makes sense to explore the benefits of ICPs.
Find expert data center considerations here.
Quality assurance remains an essential and mission-critical business function that must be done on a consistent basis. Speech and text analytics alters and enhances the process by giving companies a way to review as much as 100% of their interactions on a timely and consistent basis. Now that there is a more scientific, accurate and cost-effective way to do QA, it’s time for companies to update and invest in these programs with new technologies and best practices.
For nearly 30 years, contact center quality monitoring has been an established process, performed essentially the same way by many—if not most—organizations.
But much has changed in three decades. Today’s customers have become the final arbiters of what constitutes quality by virtue of the collective power of social media, and traditional quality metrics may no longer align with what consumers actually want or expect. What challenges does this pose to traditional quality monitoring programs? And how can contact centers evolve their quality monitoring and assurance processes to meet these new challenges?
When it comes to “big data,” Gartner boils it all down to “value.” In their 2014 Cool Vendors for Big Data report, ClearStory Data was among 4 companies profiled. According to Gartner, ClearStory is “for companies looking at big data business intelligence and analytics from a data variety perspective.”
Why be bogged down by different analysis solutions for different data types and sources, when a single solution can give you direct access and blending, of all your data, wherever it is? Get the paper and find out more.
Organizations are more data hungry than ever. Thanks to advances in machine learning and semantic processing, they can now gain new insights from that data. ClearStory Data helps business users gain new insights into their markets and the environments in which they operate.
IBM’s Social Media Analytics solution helps your company take advantage of everything social media has to offer in terms of getting closer to your customers, combining social media analysis and reporting with IBM SPSS predictive analytics technology.
Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next.
The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.