5 Reasons Why Multi-Tenant Unified Communications Beats Multi-Instance

We were recently asked for our thoughts on multi-tenancy vs. multiinstance architectures and which made better sense for cloud unified communications (UC) service deployment. You might wonder why anyone would care about this, as long as the services work. But the thing is, the multi-tenant vs. multi-instance debate uncovers fundamentally different approaches to delivering UC in the cloud. Fuze has spent eight years building a cloud UC platform with a multitenant architecture, so our allegiance is clear. This being said, we meet regularly with cloud UC providers that have opted for a multi-instance approach. Most of these folks are smart people, so to dismiss them as wrong isn’t fair.
Get Whitepaper

The Road Forward. An IT Roadmap for Scaling Self Service Reporting

A new implementation model, anchored by a real partnership between IT leaders and business users, calls for IT to own the center of operations, security and governance, data acquisition, maintenance and provisioning. In this paper, you’ll find an in-depth roadmap for scaling self-service reporting at your organization.

Read this report to learn about:

• New process for fast prototyping
• Clear enablement roles for IT
• Suggested workflows for new technology
• Nurturing a company wide culture of business analytics
Get Whitepaper

6 Best Practices for Creating Effective Dashboards

The hallmark of a data-driven dashboard is the ability to see and understand data at the speed of thought. Well-planned dashboards will allow both business leaders and knowledge workers alike to ask and answer questions in real-time, turn insight into action and inspire true innovation.

In this whitepaper, you’ll learn about:

• How to connect all of your data to a dashboard—no matter where it lives

• How to blend data from multiple sources for a holistic view

• Choosing critical dashboard metrics that reflect organizational objectives

• Using the best types of charts or graphs that are right for your data

• Accessing mobile analytics in the field for improved efficiency and speed

• How to share dashboards to collaborate with colleagues, partners and clients

• Bonus: five dashboard mistakes to avoid

Get Whitepaper

Data Storytelling: Using Visualization to Share the Human Impact of Numbers

Storytelling is a cornerstone of the human experience. The universe may be full of atoms, but it’s through stories that we truly construct our world. From Greek mythology to the Bible to television series like Cosmos, stories have been shaping our experience on Earth for as long as we’ve lived on it.

A key purpose of storytelling is not just understanding the world but changing it. After all, why would we study the world if we didn’t want to know how we can—and should— influence it?

Get Whitepaper

Which Chart or Graph is Right For You?

You’ve got data and you’ve got questions. Creating a chart or graph links the two, but sometimes you’re not sure which type of chart will get the answer you seek. This paper answers questions about how to select the best charts for the type of data you’re analyzing and the questions you want to answer.
Get Whitepaper

The Total Economic Impact™ Of IBM DB2 With BLU Acceleration

Learn about the cost savings and business benefits of DB2 with BLU Acceleration. In a commissioned study, Forrester Consulting evaluated the total economic impact of BLU Acceleration in-memory technology at a financial services client. Download now for detailed results based on interviews and subsequent financial analysis and research.

View IBM's privacy policy here

Get Whitepaper

In-Memory Databases Put the Action in Actionable Insights

In order to derive business value from Big Data, practitioners must have the means to quickly (as in sub-milliseconds) analyze data, derive actionable insights from that analysis, and execute the recommended actions. While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics. For these types of workloads, a different style of computing is required. The answer is in-memory databases.
Get Whitepaper

Follow the Money: Big Data ROI and Inline Analytics

Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
Get Whitepaper

Affordable, Scalable, Reliable OLTP in a Cloud and Big Data World: IBM DB2 pureScale

This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support. It also contrasts this approach, taken in a relational database context, with clustering approaches employed by NoSQL databases and Hadoop applications, showing the importance It goes on to discuss the specific advantages offered by IBM's DB2 pureScale, which is designed to deliver the power of server scale-out architecture, enabling enterprises to affordably develop and manage transactional databases that can meet the requirements of a cloud-based world with rapid transaction data growth, in an affordable manner.

View IBM's privacy policy here

Get Whitepaper

Data science methodology: Best practices for successful implementations

Often, data scientists construct a model to predict outcomes or discover underlying patterns, with the goal of gaining insights. The flow of IBM's data science methodology ensures that as data scientists learn more about the data and the modeling, they can return to a previous stage to make adjustments, iterate quickly and provide continuous value to the organization.
Get Whitepaper

Data Warehousing Shifts: Hadoop and Analytic tools move to the Cloud

This IT Managers Journal looks at how enterprises are leveraging the power of Hadoop and the evolving Big Data ecosystem to rapidly extract the information needed to speed business decision-making in today’s hybrid data environments.

Slashdot’s editors will provide a POV on the importance of leveraging Hadoop as part of a data warehousing solution whether Cloud, hybrid or on-premises, and will present several other assets that highlight the bottom-line benefits of these new approaches.

View Now

A Guide to REST and API Design

In his 1966 book “The Psychology of Science,” American psychologist Abraham Maslow tackled the idea that those in the field of psychology needed to approach treatment from multiple perspectives, to take on new ideas, and not just continue using the same theories and techniques created by Freud and his followers so many years ago. Acknowledging that changing your point of view can be difficult, Maslow wrote “[I]t is tempting, if the only tool you have is a hammer, to treat everything like a nail.” We have all had this experience. We get so used to the way things have been done in the past, we sometimes don’t question the reasons for doing them.
Get Whitepaper

WiFi Is a Game Changer for the Connected Enterprise

Digital transformation has become a top priority for businesses and IT leaders. Organizations of all sizes are looking to harness the power of contextual information and analytics to make better, faster decisions that will enable them to gain a competitive advantage. A business that wants to evolve into a digital organization must first become a connected enterprise. It’s the connection of things and devices that will act as the foundation of a digital organization.

Becoming a connected enterprise is an evolutionary leap for businesses. You require new tools processes, and understanding. Use this download as your guide to a more connected enterprise.

Get Whitepaper

Evaluator Group: Strategische Investitionen in All-Flash-Arrays

Für Kunden, die Flash-Systeme für primären Datacenter Storage implementieren möchten, bietet das All-Flash FAS System von NetApp erhebliche Vorteile gegenüber anderen Angeboten.  All-Flash FAS Arrays lassen sich beispielsweise jetzt nur für bestimmte Applikationen implementieren und später auf private oder Hybrid Cloud-basierte Applikationen ausweiten – ganz so, wie es die Langzeit-Strategie der Unternehmens-IT vorsieht.  Gewinnen Sie in diesem Papier technologischen Einblick für strategische Investitionen in All-Flash-Arrays.
Get Whitepaper