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TDWI Upside - Where Data Means Business

Big Data


Data Digest: Analytics for Marketing, Big Data Science Tools, Data Quality for Analytics

Learn how to use analytics to improve your marketing, select the best big data science tools, and improve data quality for more accurate analytics.

Customer Data Profiling: Persona Analytics (Part 4 of 4)

Now you understand behavioral analytics, and you can distinguish between individuals sharing a single customer account. How can you use this information for business advantage?

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.

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: Use Cognitive Computing with Big Data, Maintain Your Data Quality, Secure Your Big Data

Learn about trends in cognitive computing that help enterprises manage big data, why you may be struggling with data quality and what to do about it, and 5 best practices in big data security.

High-Frequency Decision Making: Embracing a Competitive Advantage

Converged data platforms allow enterprises to make decisions faster, even in real time, transforming organizations across a wide variety of industries.

Data Digest: Fighting Terror with Big Data; Data Quality over Quantity, Increasing Big Data Value, Hiring the Perfect Data Scientist

Improve your data quality, get the most out of your big data projects, and hire a great data scientist with the tips in today’s articles.

Data Digest: Big Data Not Foolproof, 5 Important IoT Lessons, Keeping IoT Data

Learn how human insight is still necessary to get value out of big data, 5 hard truths you need to know about building an IoT project, and which IoT data you should store for later analytics.

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