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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.

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.

2017 State of Analytics Adoption Report

The annual State of Analytics Adoption Report by Logi Analytics provides insights for executives, product managers, and technology leaders on how broadly and deeply users are adopting business intelligence and analytics tools. Survey respondents included members of IT teams who provide analytics tools to end users, as well as the end users of BI and […]

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!

Architecting for Access: Simplifying Analytics on Big Data Infrastructure

Whether you’re upgrading your current solution or rolling out a brand new platform, planning and executing an analytics workload today requires answering many tough questions.
This eBook from O’Reilly shares:
• How to choose between a data lake or analysis on the fly
• Tips on finding front-end tools that delight users
• Evaluations of hundreds of permutations of technology stacks
• Advice on how to make data your endgame, not opinion

Three Reasons In-Cluster Analytics is a BIG DEAL

Recent technology advances within the Apache Hadoop ecosystem have provided a big boost to Hadoop’s viability as an analytics environment.
You have a lot of data in Hadoop and you’re looking to analyze it. You don’t have to continue bumping up against the limits of the database you’re moving the data into—or how much of it you can afford to use. This whitepaper addresses how you can leverage the power of the cluster you already have in place, expanding and accelerating what you can do while saving you time and money. This is a big deal, it meets a huge demand, it shows how rapidly the technologies have evolved and it delivers on one of the most significant unmet promises of big data analytics.

Embedded Analytics: Beyond Build versus Buy

Embedded Analytics has officially arrived: more and more businesses are looking for a way to provide embedded analytics solutions for their customers. If you are considering doing this you have several things to consider. Do you build it yourself? Do you purchase a data platform that will do it for you?

In this paper, we offer you several ideas as you consider your project.
– Time to market
– Return on investment
– Organizational fit
– Customization and adaptability

Predictive maintenance: How data can increase production

Predictive maintenance involves gathering targeted data for analysis, the results of which will help anticipate potential failures before they occur. Companies opt for this type of maintenance to avoid predictable incidents and repair equipment, assembly lines, or machinery with minimum impact on their operations. “Having to repair a faulty product is disastrous for a manufacturer’s brand image. But shutting down […]

InsideBIGDATA Guide to Healthcare & Life Sciences

This technology guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries. To learn more download this insideBIGDATA guide.

2016 Data Science Salary Survey

In this fourth edition of the O’Reilly Data Science Salary Survey, the input was analyzed from 983 respondents working in the data space, across a variety of industries— representing 45 countries and 45 US states.