ANALYTICS AND THE CLOUD: STRATEGIES FOR BUSINESS AGILITY |
Introduction
PURPOSE -- This 10-15 minute survey asks questions about your organization’s current strategies and future plans for cloud analytics. Although the cloud (and specifically the public cloud) has been hyped as the go-to platform for BI and analytics because of its elasticity and scalability, many organizations are still hesitant to use it. Some are concerned about data security and privacy. Others feel they don’t have the skills, don’t need it, or don’t know how they can use it. Yet others have a mandate to use the cloud but don’t know how to start. The purpose of this best practices report is to guide professionals in understanding best practices and options for cloud BI and analytics.
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WHO SHOULD TAKE THE SURVEY? -- This survey is geared to business and IT professionals who support analytics and understand how cloud is used in their companies. Consultants should answer questions with their most recent client in mind.
DEFINITIONS
For the purpose of the survey, the following definitions are used:
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WHO SHOULD TAKE THE SURVEY? -- This survey is geared to business and IT professionals who support analytics and understand how cloud is used in their companies. Consultants should answer questions with their most recent client in mind.
DEFINITIONS
For the purpose of the survey, the following definitions are used:
Analytics: refers to the full range of analytics capabilities available to organizations; from reporting to BI and dashboards to self-service data discovery and more advanced analytics (such as predictive analytics). Cloud analytics often requires tools and solutions for data integration and warehousing.
Public cloud: A multi-tenant resource available to the public or organizations as a fee per usage service or as a free service.
Private cloud: A set of computing resources generally within a company that serves only that company but is set up to operate in a cloud-like manner in terms of its management. It may be owned and managed by the company or a third-party or the resources could be on a public cloud infrastructure.
Hybrid cloud: A computing environment that includes the use of public and private clouds often where there are one or more touch points that span the clouds. A hybrid cloud may also include orchestration with on-premises environments.
On-premises: This refers to your company’s traditional data center environment. It is not a cloud deployment in that the resources are not deployed in a multi-tenant, pay-per-use fashion.
As a Service (aaS): In addition to IaaS, PaaS, SaaS, this term refers to managed service models available in the cloud and offered by different vendors, such as database as a service, big data as a service, and analytics as a service (accessed via APIs).
Public cloud: A multi-tenant resource available to the public or organizations as a fee per usage service or as a free service.
Private cloud: A set of computing resources generally within a company that serves only that company but is set up to operate in a cloud-like manner in terms of its management. It may be owned and managed by the company or a third-party or the resources could be on a public cloud infrastructure.
Hybrid cloud: A computing environment that includes the use of public and private clouds often where there are one or more touch points that span the clouds. A hybrid cloud may also include orchestration with on-premises environments.
On-premises: This refers to your company’s traditional data center environment. It is not a cloud deployment in that the resources are not deployed in a multi-tenant, pay-per-use fashion.
As a Service (aaS): In addition to IaaS, PaaS, SaaS, this term refers to managed service models available in the cloud and offered by different vendors, such as database as a service, big data as a service, and analytics as a service (accessed via APIs).