Upside


Data Digest: Visualization Advice, Revamping Your BI Strategy (A Personal Tale)

Tips for making the most effective visualizations, plus the personal story of an IT strategist who made his enterprise's BI process useful.

Agile Alternatives for a Modernized Data Warehouse Environment

The appeal of the agile technology alternatives goes beyond the potential for improved performance. They all represent approaches to augmenting the data warehouse environment in ways that reduce restrictions.

DevOps and BI: Software Development in Transition

Software development is in the midst of a transitional period, thanks to the emergence of use-oriented models like DevOps, which are revolutionizing application development, delivery, maintenance, and enhancement.

Data Digest: DIY Data Scientist, Attracting Young Employees with Analytics, and Using Analytics to Improve Your Bottom Line

Use public data on social media websites and learn how to become a data scientist! Plus, how to attract millennials through analytics and how to use business analytics improve your financial picture.

Data Digest: Open-Source Desktops, Room for Analytics in the Cloud, and Locking Down Hadoop

Why are enterprises choosing open source for desktops, plus ideas about the cloud your enterprise should consider and how to lock down Hadoop.

Data Storytelling and Persuasion

A new survey tackles a topic that's captivated thinkers from Aristotle to Jane Austen to Dale Carnegie: persuasion. Persuasion is a device -- a skill -- used in all human interactions. In many cases, it's the reason for human interaction: we communicate, we collaborate, we tell stories in order to persuade.

Do You Need Deep Learning?

The analytics industry is buzzing about the concept of deep learning. What is it and how is it different from predictive analytics? More important, do businesses need it to be successful?

Celebrating Self-Service

In the New Information Economy, self-service use provides an empirical basis for demand. If people repeatedly use self-service tools to construct certain kinds of data flows, to perform certain kinds of analyses, or to access and integrate data from as-yet-unmanaged internal or external data sources, that's a critical signal to IT. These are use cases that must and should be identified, standardized, and productized as reusable information assets.

Data Digest: Solving the ETL Crisis, Analytics Downfall, Data Quality and Marketing

Limitations of ETL and how to get around them, plus big data project failure due to miscommunication among employees and how bad data quality prevents good marketing automation.