Analytics in a Dash: Strategies to Speed Data Warehousing and Analysis in the Cloud

In today's "instant this, instant that" world, the speed with which business decisions are made can have a huge impact on the success or failure of a project or product. Many organizations are turning to advanced analytics and Big Data tools to accelerate the transition from data to decision.

This IT Managers Journal looks at how new cloud-based data warehousing and analytics solutions can level the playing field for businesses that don't have resources to deploy sophisticated data warehousing and Big Data infrastructure, and how they can offer enterprises of all types and sizes access to advanced analytics tools that can quickly turn raw information into real business advantage.
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Read the Gartner Magic Quadrant for Operational DBMS

Why Microsoft for your operational database management system?

When it comes to managing your data, the choice is clear: Microsoft is an industry leader in ODBMS. Don’t take our word for it; read Gartner’s assessment of the ODBMS landscape and see how Microsoft stacks up.
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Gartner Magic Quadrant for Business Intelligence and Analytics Platforms

Why choose Microsoft for your business intelligence and analytics?

When it comes to analyzing your data, the choice is clear: Microsoft is an industry leader in business intelligence and analytics platforms. Read Gartner’s assessment of the business intelligence and analytics landscape to see how Microsoft stacks up.

Gartner has recognized Microsoft as a Leader — for the ninth year in a row — in the 2016 Magic Quadrant for Business Intelligence and Analytics Platforms, positioning it farthest to the right on the axis for completeness of vision.
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Put The Business Back In Your Data Management Business Case

Looking for ways to be more efficient with your business IT? Trying to make the business case for data investment? Read this Forrester report to learn how to develop a business go-to team that informs your data strategy and frame that strategy as a business success story.

This independent report provides helpful insights to improve your data management model, better engage with stakeholders, and build business strategy into your data management efforts.
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APP-GENERATIE REPORT

De hedendaagse jeugd is de eerste generatie die zijn identiteit ontleent aan technologie in plaats van aan cruciale politieke of economische gebeurtenissen. Deze jongeren voelen zich met elk technologisch aspect volledig op hun gemak en in ons boek "The App Generation: How Today’s Youth Navigate Identity, Intimacy, and Imagination in a Digital World", onthullen we nieuwe inzichten over de invloed van technologie op de identiteit van jongeren en de manier waarop zij de wereld zien.
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Hypervisor-based Replication

Virtualization of the data center has proven to be a true IT game-changer, providing increased flexibility and control in managing production workloads, as well as significantly streamlining the implementation and operational support. Organizations continue to expand their virtualization initiatives to private, public and hybrid cloud environments.

To more fully realize the benefits of virtualization and get the most out of their investments in the technology, organizations need to optimize all IT processes and activities for their virtual environment. This includes security, compliance, and Business Continuity/Disaster Recovery (BC/DR). Of the three, BC/DR is perhaps the most difficult because to date there have been no virtual-ready remote replication methods that organizations could adopt. That is all about to change.

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Deep Learning in the Real World

The International Data Corporation estimates that by 2020, 40 zettabytes of data will be generated every day. Compare that to the current 2.5 quintillion bytes per day and it's easy to understand why businesses need a smarter way to wrangle exponentially growing data. What if you could automatically consume and process data such as tweets, chats, emails and more and integrate them into your data applications? Deep learning makes it easier than ever before.
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SAP HANA System Replication on SLES for SAP Applications

“SAP customers invest in SAP HANA” is the conclusion reached by a recent market study carried out by Pierre Audoin Consultants (PAC). In Germany alone, half of the companies expect SAP HANA to become the dominant database platform in the SAP environment. In many cases, the “SAP Business Suite® powered by SAP HANA” scenario is already being discussed in concrete terms.

Naturally, SUSE is also accommodating this development by providing SUSE Linux Enterprise Server for SAP Applications – the recommended and supported operating system for SAP HANA. In close collaboration with SAP and hardware partners, therefore, SUSE will provide two resource agents for customers to ensure the high availability of SAP HANA system replications.

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SAP HANA and SUSE® Linux Enterprise Server

SAP HANA is by far the most in-demand in-memory platform on the market. Across all industries and regions, users benefit from its accelerated business processes, operations, decisions and simplified data landscapes to reduce costs.

A study by Forrester Research on behalf of SAP showed that customers who introduce SAP HANA can save over 70 percent on software investments and 15 percent on hardware costs compared with traditional databases. At the same time, SAP HANA is evolving into a leading development and application platform.

Read more to learn how.

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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.
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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
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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

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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?

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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.
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