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.
How to Achieve a Customer Centric Culture Supported by Data Driven Insights
April 26, 2017 by Leave a Comment
Data Capture and Science Strategy
April 5, 2017 by Leave a Comment
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.
Data Warehouse Trends Report 2017
February 4, 2017 by Leave a Comment
Amazon re:Invent is always a rewarding experience, providing not only opportunities to demonstrate Panoply’s automated data warehouse solutions to thousands of IT professionals, but also to gather feedback from industry professionals, as a means to gauge cloud-industry trends and understand the market’s most pressing needs. In that spirit, the company conducted a survey during our […]
The 5 Key Challenges to Building a Successful Data Science Lab & Data Team
January 9, 2017 by Leave a Comment
This 21 page ebook will teach you how to address, avoid, and fix the main challenges that come up in Data Science Laboratory Environments.
The GridGain In-Memory Data Grid
October 26, 2016 by Leave a Comment
This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages and uses of in-memory data grids and introduces the GridGain In-Memory Data Fabric. Finally, it presents a deep dive on the capabilities of the GridGain solution. To learn more download this white paper.
In-Memory Computing: Leading the Fast Data Revolution
October 13, 2016 by Leave a Comment
In this white paper you will learn more about the aspects of in-memory computing in more detail and describe how the society of the future will depend on the capabilities it provides. Over the next few years, in-memory computing technology will be an integral part of changes that are dramatically transforming the world.
Architecting for Access: Simplifying Analytics on Big Data Infrastructure
October 10, 2016 by Leave a Comment
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
Predictive maintenance: How data can increase production
September 28, 2016 by Leave a Comment
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 […]
Data Warehouses Ascend to the Cloud
September 1, 2016 by Leave a Comment
Should the data warehouse be deployed on the cloud? IDC addresses this question on a regular basis. As adoption of cloud software increases, organizations of all sizes across industries and geographic regions are evaluating and assessing the opportunities and challenges of deploying software on the cloud. Data warehousing solutions are no exception to this trend.
Big Data, Big Innovations
September 1, 2016 by Leave a Comment
With a traditional data warehouse powering big data, it’s not unusual for data loads and complex queries to run for days, which hinders the analytical process. Plus, these data warehouse environments are often designed to analyze structured data only, and not valuable unstructured data generated from new external sources such as social media and mobile computing.
