Good Data = Good Deal
Updated November 04, 2014
Good Data = Good Deal
Score 10 out of 10
Overall Satisfaction with GoodData
- GoodData puts powerful data visualization into the hands of business users, eliminating IT from the equation.
- GoodData required only a brief intro to its basic philosophy, and nontechnical users were quickly able to start building dashboards and views they could actually use.
- GoodData enabled powerful graphics to be constructed combining enterprise data and external data such as research or industry data, easily imported and homologated to create comparisons.
- As with many information tools, GoodData can be challenging to a novice user who is too rushed to learn while building.
GD is so far my favourite end-user BI tool and eclipses all other cloud tools, while also enabling use of GoodData on top of a corporate 'gold standard' platform such as Business Objects, or just an Oracle based Enterprise Data Warehouse (EDW).
- GoodData is most popular among "data hound" category of business user. Anyone who is capable of running and refining large Excel pivots, and who can extract SQL statement results into Excel, is easily able to build beautiful analytics and visualizations in GoodData.
- Some less proactive GD users are merely consuming the analytics views created by their colleagues.
- In one customer demo, we used online banking data (yes, for real) and observed as GoodData created different dashboards for different people depending on what it found in the downloaded data. It was very cool. Download 1 full year of online banking transactions into CSV, then create new project using this as base data. Where debit categories were clearly showing a pattern, the dashboard put this item first and showed a pretty useful pattern. where people had variable income and from various sources, it showed that first and created great interest in seasonal variances by source.
Evaluating GoodData and Competitors
- Implemented in-house
We let it go viral among the smartest and most data-hungry and analytical people in the organization. That generated some me-too following, and before we knew it we had a Mexican wave. The stragglers too were enthusiastic, especially when they could just use metrics created by their colleagues