by Maxx Silver | Jan 27, 2021 | Analytics at Operational Scale, Data Engineering
What’s the value of data engineering? Meet Mark. Mark was an analyst at a non-profit that offered job-training to disadvantaged populations. The non-profit was structured as a social enterprise that operated restaurants, cafes, catering, etc. Mark was accountable for...
by Andrew Cave | Apr 4, 2018 | Analytics at Operational Scale, Analytics Products, Data Engineer, How To, Main Blog
The Pentaho Business Analytics (BA) server is a production level application for storing, scheduling, creating and running all the Pentaho report types through your web-browser. But sometimes, you need to work on the commandline and put things precisely where you want...
by Zachary Zeus | Jun 14, 2017 | Analytics at Operational Scale, BizCubed, Main Blog, Pentaho, Resources
There is a growing trend wherein business analysts have more control than ever to prepare and analyze a variety of valuable data, often circumventing IT processes and policies. What are IT leaders to do? Can they liberate data to be used by analysts, yet provide...
by Zachary Zeus | May 29, 2017 | Analytics at Operational Scale, How To, Main Blog, Pentaho, Resources
Data preparation is the foundation of any analytics project, but it has become more complex than ever as organizations struggle to handle new, messy data types and growing data volumes. Teams that want to build competitive advantage through analytic insight must...
by Zachary Zeus | May 11, 2017 | Analytics at Operational Scale, Main Blog, Resources
I speak to a lot of customers that are all facing the same issue – they have a limited IT staff, they have a shrinking budget, they are using legacy tools to manage their growing data needs and they just don’t have enough time to accomplish it all. We have all heard...
by Zachary Zeus | May 11, 2017 | Analytics at Operational Scale, Main Blog, Resources
If you are in an IT role responding to data prep needs from the business, you have likely seen some variation of an analyst emerge at your company. Viewed as the most plausible answer to a shortage of Ph.D. data scientists, analysts work with data but may not have a...
