Best of Upside’s Data Digest
Articles examine choosing big data science tools, the rise of voice data, data analytics’ role in marketing, and how improving data quality improves decision making.
- By Quint Turner
- July 1, 2016
Picking Big Data Science Tools
(Source: IT Pro Portal)
With big data comes a need for data science tools that can handle high volume. This article offers guidance for choosing architecture that will support big data science.
Best Practices for Making Data-Driven Decisions
(Source: Forbes)
Turning data into action is the whole purpose of data analytics. This article offers a simple ten-step process for making good decisions with data.
Voice Data on the Rise
(Source: Datanami)
When Siri appeared on the iPhone, a whole new world of vocal interaction with technology opened up. This article reviews the recent history of voice recognition and claims that voice data will be a major opportunity for analysis as machine learning improves.
Boost Marketing with Data Analytics
(Source: DataInformed)
This article explains the many ways big data analytics can improve your marketing, from better defining your ideal customer to real-time personalization.
Improve Data Quality, Improve Decision Making
(Source: Information Management)
High quality data is crucial to making informed decisions with analytics. This article uses a case study to explain the effect of poor quality data on analytics, and then provides detailed guidance that can improve your data quality.
About the Author
Quint Turner is an editorial intern at TDWI and an undergraduate English student at Skidmore College. Follow his blog at pungry.com.