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TDWI Upside - Where Data Means Business

Contributor: Troy Hiltbrand


Troy Hiltbrand is the Chief Digital Officer at Kyäni where he is responsible for digital strategy and transformation. You can reach the author at thiltbrand@kyanicorp.com.

  


All articles by Troy Hiltbrand


5 Things to Look For in Your Next Business Intelligence Platform

Business intelligence engineers are responsible for building out the architecture and infrastructure that meets the organization's needs. Here are five key areas to evaluate when trying to determine which business intelligence platform is right for you.

5 Things to Look for in Your Next Data Integration Platform

Learn what to look for in a data integration platform that will meet your company's unique needs.

Finding Your Own North Star to Guide Analytics Initiatives

Each data and analytics organization needs to first determine what their core purpose is and then use that North Star to drive their projects, plans, and resourcing.

2021: A Tale of Three Networks

As we move into 2021, we will see increased integration of neural networks into software that runs our lives, enabling greater capabilities in spatial and sequential learning and making it tougher to differentiate between what is real and what is fake.

How Analytics Teams Can Exploit Data Stories

As information becomes the primary power source for the digital economy, analytics teams need to evolve to leverage data stories.

Constellation, Meteor, or Just Another Plane?

Our brains have the natural ability to see clusters of like objects and identify outliers. With unsupervised learning algorithms, computers can start doing the same.

Finding the New Normal with Text Analytics

The current environment is changing rapidly, causing artificial intelligence algorithms to stumble. Identifying new sources of data using text analytics might provide a more forward-looking strategy.

I Have a Data Warehouse, Do I Need a Data Lake Too?

When building your data and analytics program, you must decide whether you need a data warehouse, a data lake, or both. Understanding the difference is the first step.

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