RESEARCH & RESOURCES

BI, Analytics, and the Cloud: Strategies for Business Agility

TDWI Speaker: Fern Halper, TDWI VP and Senior Research Director

TDWI Speaker: David Stodder, TDWI Senior Research Director

Date: Wednesday, October 12, 2016

Time: 9:00 a.m. PT, 12:00 p.m. ET

Webinar Abstract

Cloud computing is a major trend that offers advantages in terms of flexibility, dynamic scalability, and agility. Even so, there’s been a lot of marketing hype. The reality is that, until recently, cloud has been slow to take off for business intelligence (BI) and analytics. Organizations have been concerned about security, performance, functionality, and other critical issues. TDWI Research is now seeing a significant shift as more organizations show willingness to experiment with BI and analytics in the cloud and are moving into deployment.

Two major growth drivers—big data and the presence of cloud-based business applications—are generating a steady flow of data that BI and analytics users need. In addition to use cases ranging from visual analytics to advanced analytics, cloud is starting to grow in appeal for the development of “as-a-service” offerings that monetize an organization’s data. Many firms are testing both commercial and open source cloud-based BI and analytics technologies. Hybrid cloud models that integrate cloud with on-premises systems are also becoming prevalent.

Join this webinar and get the TDWI Research perspective on cloud for BI and analytics. We will shed light on how you can build a solid cloud strategy for your organization. The webinar will detail insights from an extensive TDWI Research survey into current activities and future plans among peer organizations for cloud BI and analytics. We will also discuss best practices that you can apply in your organization.

In this webinar, you will learn:

  • The current status of cloud BI and analytics, along with future trends
  • How cloud-based big data and business applications deployments change BI and analytics strategies
  • How to overcome challenges with implementing cloud BI and analytics
  • Best practices for success with cloud BI and analytics

Fern Halper, David Stodder

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