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Data Digest: Data-Driven Decisions, Data Breaches, Voice Data

Learn a simple strategy for any enterprise to implement data-driven decision making, five steps for preparing for a data breach before it happens, and the implications of recent improvements in voice recognition.

Data Stories: Three Ways to Look at the Data behind Music

Music is math already according to some ways of thinking. It’s only natural that many data visualizations have been created to explore the history or popularity of different genres and artists.

Customer Data Profiling: Persona Disambiguation and Behavioral Analytics (Part 3 of 4)

When multiple customers use one account, it can cause problems for your predictive models. Use behavioral analytics to separate the personas and improve your customer service.

Data Digest: Shadow Data, Data Hoarding, and Different Types of Data Scientists

In today’s articles, read about the dangers of ungoverned access to “shadow data,” the costs of hoarding every bit of data, and tactics for hiring the type of data scientist that matches your needs.

Customer Data Profiling: Problems with Personas (Part 2 of 4)

Even an advanced CRM system can break down when one customer profile is capturing the attributes and behaviors of more than one real individual.

Data Digest: Exploring Security Methods for IoT, Monetizing IoT Data, Managing Data Lakes

Learn why “lean security” principles might help you secure your IoT devices, how IoT data can create opportunities for profit, and how a well-managed data lake creates a fertile ground for predictive analytics.

Considering a Cloud-based EDW: Questions You Must Ask

Enterprise data warehousing in the cloud represents a major change in thinking as well as in architecture. Addressing these critical questions can help you judge the practical value of cloud EDW for your enterprise.

Customer Data Profiling: The Precision Problem (Part 1 of 4)

Over the years, CRM tools have evolved from simple customer databases into increasingly more sophisticated tools for engagement, but the growing amount of customer data brings new challenges.

Data Digest: Data Quality Challenges, Open Source Pros and Cons, Cloud Computing Definitions

Learn how to approach common data quality problems, what pros and cons you face selecting open source analytics solutions, and definitions of 20 common cloud computing terms.