10 common challenges of building a data science program

The latest white papers, case studies and product information

Business Technology Research     September 07, 2018

IN THIS ISSUE 10 common challenges of building a data science program 3 phases of designing a new data model Top productivity pains: How slow data integration impacts business 3 characteristics of a data-driven organization Annual report: Apacha Kafka data streaming platform trends

10 common challenges of building a data science program SPONSORED BY: Alteryx Help your organization gain a competitive edge by establishing a team of data scientists. Tap into this resource to learn about the 10 most common challenges organizations encounter when establishing a data science program, and how to overcome them. Read More

3 phases of designing a new data model SPONSORED BY: Instaclustr Uncover the 3 phases you can follow when designing a new data model, as well as an example of building a database to store and retrieve log messages from multiple servers to avoid any traps along the way. Read More

Top productivity pains: How slow data integration impacts business SPONSORED BY: SnapLogic To study the impact of disconnected data on workplace productivity, Vanson Bourne investigated the top data-related pain points for IT and LOB users. Explore the results of their study to learn which tasks contribute to inefficient data integration so that you can facilitate faster, more effective productivity across your teams. Read More

3 characteristics of a data-driven organization SPONSORED BY: Yellowfin There are 3 characteristics to a data-driven culture: pervasiveness, processes and skills. Download this resource to learn how to bring these characteristics into your organization, as well as how to persuade stakeholders to adopt a data-driven approach. Read More

Annual report: Apacha Kafka data streaming platform trends SPONSORED BY: Confluent Read this annual 31-page report for detailed survey results on trends, statistics, opinions and more regarding Apache Kafka's data streaming platform, and explore how it is being used in retail, healthcare, banking and other industries. Read More

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