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


Deliver Consumable Analytics to Drive Action

In a world of information overload, analytics professionals have to focus on delivering consumable analytics. Visualizations and alert systems allow users to more easily consume and use data.

How Do Machines Learn?

Machine learning is a hot topic today and businesses around the world are using it to gain a competitive advantage. It is not a magical technology, rather the application of time-tested statistical practices to common business processes.

Analysis: Aurora Is Amazon's Answer for Forgotten DBMS Users

Amazon's Aurora may close the gap between spreadsheets and full-blown RDBMSs for large enterprises.

5 NoSQL Alternatives for Data Storage

Organizational needs are changing, and data professionals are rethinking what they really need from an analytics database. With a whole new group of leading NoSQL databases, there are alternatives for storing and managing data.

Five Characteristics of a Good Data Scientist

With the popularity of data science, schools around the world are training students in the necessary technical capabilities. In addition to these skills, future data scientists need certain personality traits to be successful.

Merging Multisource Customer Data

Finding common attributes to join customer data across multiple data sources is extremely important, but it can be time consuming and challenging. Thankfully, there are methods and tools that can help in this process.

Do You Understand the Knowns and Unknowns in Your Data?

Effective data preparation depends on recognizing how to handle what we know and what we don't know about a set of data. Our goal as analytics professionals is to make less unknown and more known.

Connecting the Dots: One of Your Greatest Analytics Tools

Filling the gaps in data can mean the difference between an analytics project's success and failure. Choosing the right method is a combination of art and science that requires understanding the business, the data, and the targeted decision.

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