TDWI Infographic | BI, Analytics, and the Cloud Best Practices

The cloud is becoming a mature platform for data management, integration, business intelligence (BI), and analytics. Business leaders understand that the cloud can provide flexibility, scalability, and agility for their BI and analytics projects. Instances of the cloud can quickly spin up (or down) without the cost and delays of installing on-premises applications. In the recent TDWI Best Practices Report: BI, Analytics, and the Cloud, we take a look at organizations’ experiences with and plans for cloud BI and analytics, including how satisfied organizations are with the cloud and why, overcoming cloud adoption challenges, and what your organization should consider when moving to the cloud. Here are several of the key survey results.

This infographic explores the results from that report.

TDWI Best Practices Report: BI, Analytics and Cloud Strategies

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Authored by Fern Halper and David Stodder

This report educates organizations in best practices and options for cloud business intelligence (BI) and analytics. This includes organizational strategies for the cloud as well as new platform options and other considerations.

The report also examines how organizations are using cloud BI and analytics and gaining value from them.

Key Findings:

  • Top cloud analytics drivers include scalability, flexibility, and cost
  • Resistance to the cloud is definitely diminishing
  • Organizations should make sure that pricing models are flexible so that they can scale up and down easily

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Please register to review the entire report.

Eckerson Group’s Product Brief: Snowflake Elastic Data Warehouse

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Product Brief: Snowflake Elastic Data Warehouse

Please register to receive a complimentary copy of Eckerson Group’s Product Brief which provides a summary the innovative technology behind Snowflake’s cloud data warehouse offering.

In this brief, Eckerson Group’s research covers:

-Key differentiators
-Product Profile
-Key Use Cases

Abstract:

“The demand for cloud-based alternatives to traditional data management systems is accelerating rapidly among businesses looking to offload infrastructure and administrative tasks and gain new capabilities that on-premises systems can’t deliver. Snowflake’s Elastic Data Warehouse is a cloud-based data warehousing service that incorporates a flexible data management architecture that decouples storage from compute.”

Register now!

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Where Do I Go from Here?

Forrester’s Breakout Vendors: Big Data Integration

Breakout Vendors: Big Data Integration

Looker Data Sciences, SnapLogic, And Snowflake Computing Push The Boundaries Of Established Big Data Integration – Authored by Brian Hopkins, VP and Principal Analyst, serving Enterprise Architecture professionals.

How are you going to get more value from your data lake? Most big data integration vendors focus on making classic processes faster with tools for moving data into a lake and working with it there. Three innovative vendors — Looker Data Sciences, SnapLogic, and Snowflake Computing — offer alternatives.

Read this report to understand how they are pushing the boundaries of big data integration with new ideas about how to get value faster.

Please register to review the entire report.

TDWI Best Practices Report: Emerging Technologies for Business Intelligence, Analytics and Data Warehousing

For Business Intelligence, Analytics and Data Warehousing

Authored by Philip Russom, David Stodder, and Fern Halper

This report educates organizations worldwide about the inventory of currently available emerging technologies and methods (ETMs) as they apply directly to business intelligence (BI), analytics, and data warehousing (DW). TDWI assumes that the innovations and excitement of ETMs can make BI, DW, and analytics more appealing, pervasive, insightful, and actionable.

Abstract:

According to this report’s survey, the leading general benefits of ETMs (in survey order) are improvements in competitiveness, decision making, responses to business change, business performance, and innovation. These benefits are being realized today because two-thirds of organizations surveyed are already using ETMs and the vast majority consider ETMs an opportunity.

TDWI Checklist Report: Using and Choosing a Cloud Solution for Data Warehousing

Authored by Colin White

This checklist identifies the benefits the cloud offers, offers potential use cases, and presents key criteria for using and choosing a cloud solution for data warehousing.

Foreward:

The cloud environment offers a pay-as-you-go, on-demand, and elastic scalability model that can provide significant benefits for both the business and IT. Compared to an on-premises IT environment, cloud computing reduces up-front project costs and enables organizations to scale their applications as required while paying only for the resources they use.

The cloud is, therefore, an ideal environment for data warehousing projects given the large data volumes and unpredictable nature of the analytic workloads involved.