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How to Achieve a Customer Centric Culture Supported by Data Driven Insights

A company’s culture informs its every effort, from marketing and outreach to the ways in which internal departments work together. In today’s competitive business environment, it’s imperative to implement a customer-centric culture that permeates the entire business, from the very top of the organization down throughout every department sector. To learn more about how to achieve a customer-centric culture supported by data-driven insights download this white paper.

InsideBIGDATA Guide to Using the Cloud

Demand for enterprise cloud services is growing exponentially. A recent Teradata survey indicates that by 2020, 90% of their customers expect to have a hybrid cloud environment-and more than 85% expect to buy data warehousing as a service. These market needs must be addressed. To learn more about using the cloud download this InsideBIGDATA guide to ticketmaster: using the cloud.

Data Capture and Science Strategy

Innovative drug development organizations are leveraging scientific and technical advances to data capture data that is increasingly multidimensional and information rich. However, existing data capture and sharing processes are often unable to support efficient integration and interpretation of this data. To learn more about available technologies available for data capture and relation science strategy download this white paper.

InsideBIGDATA Guide to Data Analytics in Government

This guide provides an in-depth overview of the use of data analytics technology in the public sector. Focus is given to how data analytics is being used in the government setting with a number of high-profile use case examples. Download this InsideBIGDATA guide to data analytics in government.

insideBIGDATA Guide to Use of Big Data on an Industrial Scale

In this document, our focus is on “industrializing” big data infrastructure—bringing operational maturity to the Hadoop data ecosystem, making it easier and cost-effective to deploy at enterprise scale, and moving companies from the proof of concept stage into production-ready deployments. Download this Guide to Big Data on an Industrial Scale to learn more.

insideBIGDATA Guide to Artificial Intelligence & Deep Learning

In this guide we explain the difference between AI, machine learning and deep learning, and includes highlights of the insideBIGDATA audience survey. To learn more about AI and deep learning download this guide.

Putting Data Science in Production

This guide is designed to help your organization find the common ground needed to empower your Data Science and IT Teams to work together for the benefit of your data projects as a whole.

The 5 Key Challenges to Building a Successful Data Science Lab & Data Team

This 21 page ebook will teach you how to address, avoid, and fix the main challenges that come up in Data Science Laboratory Environments.

Advanced Analytics, The Modern Marketer’s Best Friend

Download our free white paper to get a global understanding of how analytics are shaking up marketing and what you can do about that!

From Small to Big Data, Adopting the Advanced Analytics Mindset

Going from small to big data requires understanding the new mindset. In 9 steps, this guide book can help you with that.