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3 Shifts in the Modern Data Environment

This paper seeks to outline three major thought shifts concerning the modern data environment that Information Technology leaders need to understand in order to support data-driven decision making within their organization.

Evaluation Guide: How to choose the right modern BI & analytics platform

This evaluation guide aims to support IT organizations as they evaluate and select a modern BI & analytics platform suitable for a broad, enterprise-wide deployment. The transition to a self-service-based, modern BI model requires IT to adopt a collaborative approach that includes the business in all aspects of the overall program (see Redefining the Role of IT in a Modern BI World). This guide focuses on the platform evaluation and selection aspect of a modern BI program. It is intended for IT to use collaboratively with business users and analysts as they assess each platform’s ability to execute on the modern analytics workflow and address the diverse needs of users across the organization.

Governed Self Service Analytics at Scale

Today’s organizations seek an approach to self-service analytics that balances the needs of both IT and the business. This modern approach to enterprise analytics ensures both governance and business agility. People in your organization are already self-serving their analytical needs with spreadsheets and applications like Salesforce, Google Analytics, and Marketo. They need to answer their own questions rapidly. So how do you meet this need for self-service analytics while also ensuring a high standard of data governance, trust, security, and monitoring? With these steps, IT can partner with the business to meet both teams’ needs and move the business forward.

Redefining the role of IT in a modern BI world

The emergence of self-service BI in recent years has challenged the status quo, especially for IT professionals who have spent the better part of the past two decades building out a BI infrastructure designed for developing top-down, centralized reporting and dashboards. Initially, this self-service trend was viewed as a nuisance by most IT departments and was virtually ignored. The focus remained on producing a centrally-managed single source of truth for the organization. Read this whitepaper to learn how IT can evolve from producer to enabler and foster collaboration around analytics.

Tableau’s Vision on Big Data

We are living in a new era. Data is the key “raw material” driving businesses today, and it is ushering us into the next industrial revolution. New manufacturing processes in the 1700s and 1800s completely transformed how goods were manufactured, and similarly the era of Big Data is redefining the way data is produced, analyzed and consumed. While the Big Data landscape evolves and consolidates, one theme is consistent - businesses need to be able to use a common analytical tool to access their data, whether big or small, and wherever it lives.