Perfecting Your Data Platform in the Cloud

It’s time to perfect your data platform, and you already know your upgrades will start in the cloud. The potential of the cloud is clear: it keeps you nimble, lets you expand faster, and adapt to any need, all with less management and cost.

The Data Warehouse: The Engine that Drives Analytics

Why the Core of Data Analytics Is Critical to Data-Driven Insight

According to McKinsey, 86 percent of executives say their organizations have only been somewhat effective at achieving the primary objective of their data and analytics programs. Even more concerning, more than one-quarter say they’ve been ineffective.

The fact that most data initiatives fail to meet the real needs of today’s enterprises, or just outright fail to deliver any value at all, reveals two significant trends. First, enterprises are more focused on data analytics than ever before. Second, it’s likely that most failures lie deep within an organization’s data analytics platform.

In this e-book, we examine the challenges enterprises have faced turning data into transformative business insights. You’ll also learn about the technologies that are now available to enterprises to keep up with the analytics revolution. With a modern cloud data warehouse, you and your organization can be champions.

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


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


Please register to review the entire report.

Data Analytics: Beyond the Hype – A Survey by Dimensional Research

This report is based on a survey of 376 individuals with responsibility for data initiatives including 104 executives. The goal of the survey was to understand current experiences, challenges and trends with data analytics initiatives.

Key Findings:

Data initiatives are important, but have serious issues

  • 100% say data analytics is important
  • 48% of executives characterize data analytics as “critically important”
  • 88% have faced “failures” with recent data initiatives

Inflexibility of data infrastructure is the underlying cause of many challenges

  • Data inflexibility tops list of challenges faced by data and analytics
  • 59% of executives say their existing analytics infrastructure is too inflexible
  • 75% of executives are prevented from acting on business requests because their data infrastructure is too inflexible

Cloud-based analytics could help address barriers to data analytics

  • 99% find potential benefits of cloud analytics to be compelling
  • 92% would try more things in a pay-as-you-go model licensing
  • 74% of those that have adopted cloud analytics intend to grow use in the coming year


Please register to review the entire report.

Eckerson Group’s Product Brief: Snowflake Elastic Data Warehouse

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


“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!

Screen Shot 2016-07-26 at 2.51.26 PM

Where Do I Go from Here?

CIO’s 15th annual State of the CIO study – Special Foreword from Snowflake

CIO’s 15th annual State of the CIO study – Special foreword from Snowflake Computing

CIO’s 15th annual State of the CIO study finds that IT executives are under intense pressures as they work strategically to digitally transform their businesses and defend company-sensitive information from cyberattacks, all while also trying to build an IT organization that can keep up with the pace of change.


Check out Snowflake’s exclusive foreword to the 2016 State of the CIO Survey, authored by Jon Bock, VP of Marketing and Products.


“Today, technologies such as the cloud, big data, andanalytics are blurring the lines between IT and business roles—mostly for the good, but not without challenges. The “2016 State of the CIO Survey” reveals the good in those blurred lines: IT executives who have strong relationships with business stakeholders fare better as they deal with the
challenges that accompany digital transformation and all it entails, from cybersecurity to complexity and loss of control.”

Please register to receive the entire report.

Where Do I Go from Here?

Demystifying Elastic Data Warehousing: Enabling High-Speed Analytics in the Cloud

TDWI E-Book:

Demystifying Elastic Data Warehousing: Enabling High-Speed Analytics in the Cloud

  • Q&A: Elastic Data Warehousing: A Modern Solution for Data Analytics
What do elastic data warehouses offer, what do they look like, and what technologies do they use?
In this interview with Jon Bock, vice president of product and marketing at Snowflake Computing, we discuss the challenges, benefits, and use cases of elastic data warehouses, as well as how to evaluate the technology.
  • Top 5 Reasons for Data Warehouse Modernization

In recent surveys by TDWI Research, roughly half of respondents report that they will replace their primary data warehouse (DW) platform and/or analytic tools within three years. Ripping out and replacing a DW or analytics platform is expensive for IT budgets and intrusive for business users. This raises the question:

What circumstances would lead so many people down such a dramatic path?

  • The Elastic Data Warehouse: Data Warehousing Reinvented for the Cloud

For enterprises looking to move from on-premises solutions to the cloud, the elastic data warehouse offers a new way to merge the power of the cloud with the needs of a 21st-century enterprise.

Register today to read the entire E-Book.

Overcoming the reality gap of big data

The ability to access and analyze data is the critical foundational element for competing in new and old industries alike. Yet, a recent survey of IT executives finds that most are still struggling— and frustrated—with widely used data analytics tools.

Survey findings:

Ease of use is top requirement

For data users, far too much time is spent waiting to get access to the data.

Conventional data warehouses were architected for static, predictable workloads, but organizations today are trying to accommodate dynamically changing data and the growing desire for more analytics-based applications and processes.