Access "Fight the fears threatening the rise of data visualization"
This article is part of the Issue 8, August 2012 issue of Benefits of using a data sandbox
You finally have the software and hardware required to enable the use of data visualization technology throughout your company. You also have a vision of how reports and end-user dashboards with built-in visualizations will generate new levels of insight that can help improve business performance. But as your work begins to attract attention, you may be confronted with a range of new behaviors that can threaten to slow progress. Stay alert: “Fears” about making business intelligence (BI) data more broadly available can suddenly emerge after long being suppressed by existing organizational controls over the distribution of information. The fact is that most organizations are still unable to effectively analyze and put into action the data in their BI systems and data warehouses. Yet they continue to operate under centralized control models that closely regulate how data is handled, used and shared. Faced with the prospect of BI data being unleashed so more business users have access to it, proponents of tight controls cite risks such as data security and ... Access >>>
Premium Content for Free.
Data sandboxes help analysts dig deep into corporate info
by Nicole Laskowski
Giving analytics professionals control of small amounts of space in data warehouses lets them experiment with data sets in a managed environment.
Fight the fears threatening the rise of data visualization
by Lee Feinberg
It’s time to change the way your company thinks about disseminating BI data to a broader set of business users, particularly in visual formats. But be prepared for resistance.
- Data sandboxes help analysts dig deep into corporate info by Nicole Laskowski
Misconceptions holding back use of data integration tools
by Rick Sherman
Integration software has matured in recent years, but consultant Rick Sherman writes that many IT managers aren't aware of the increased capabilities.
- Misconceptions holding back use of data integration tools by Rick Sherman
More Premium Content Accessible For Free
Building effective analytical models is a key facet of big data analytics applications -- though doing so is easier said than done.
This e-book ...
Predictive analytics employs statistical or machine-learning models to discover patterns and relationships in data, thereby enabling the prediction ...
Sensors capture large volumes of data about the operations of industrial equipment; similarly, log files gather huge amounts of information about ...