RESEARCH & RESOURCES

Publications


Architecting a Hybrid Data Ecosystem checklist cover

TDWI Checklist Report | Architecting a Hybrid Data Ecosystem

June 2, 2017

When numerous diverse data platforms are integrated for multiple use cases, it is called a hybrid data ecosystem (HDE), a concept invented and popularized by Enterprise Management Associates (EMA) in 2012. An HDE provides options for rapidly diversifying data and its business use. Despite the extreme complexity and challenges, users are succeeding with HDEs. This TDWI Checklist Report drills into the data requirements of the HDE with a focus on the role of data virtualization.


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TDWI Checklist Report | Speeding the Path to Visual, Easier-to-Use Business Analytics

June 1, 2017

The growing adoption of cloud computing and software-as-a-service (SaaS) is merging with easier-to-use business intelligence and analytics tools to allow more users to interact with and analyze data. This Checklist Report discusses seven recommendations to help organizations be successful sooner in enabling a data-driven culture through visual, easier-to-use business analytics.


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TDWI E-Book | EDW Modernization: Becoming a Data-Driven Enterprise

May 1, 2017

Read this e-book to find out what it means to be driven by data and what it takes to transition to such a culture.


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TDWI Checklist Report | New Data Practices for a Single Customer View and Omnichannel Marketing

May 1, 2017

Modern marketers are capturing success with an arsenal of advances in data management, software automation, and customer analytics that enable a single view of the customer. New sophisticated practices in omnichannel marketing leverage that view so marketers can serve burgeoning numbers of customers and channels. This Checklist Report drills into the data requirements of modern digital marketing, with a focus on the single customer view and omnichannel marketing.


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TDWI Checklist Report | New Strategies for Visual Big Data Analytics

April 17, 2017

Organizations need a strategy for a modern data platform that can support users who need more than traditional BI and OLAP provide but don’t have the specialized skills of advanced data scientists. This Checklist focuses on six key considerations for modern data platforms that enable more users to benefit from big data through easier to use, visual big data analytics.


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TDWI Checklist Report | Machine Learning for Business: Eight Best Practices to Get Started

March 29, 2017

In a recent TDWI survey, 51 percent of respondents said that enhancing business analysts’ skills was one of their top two strategies for growing their data science competencies. How do businesses get started with machine learning? This Checklist defines machine learning and discusses best practices for the business as it takes the next step on its analytics journey toward using machine learning.


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