Issue OverviewBI Trends + Strategies - Nov. 2012, Volume 1, Issue 11
The lead article in this issue of SearchBusinessAnalytics.com’s BI Trends + Strategies will examine the potential benefits and challenges of data visualization deployments, with insight and advice from consultants and experienced users. Data visualization tools are becoming increasingly popular as business intelligence teams look to make it easier for executives and other end users to grasp BI findings. But BI managers need to make sure that their visualization “pictures” tell the right story. Also, consultant and BeyeNETWORK expert David Loshin discusses how new data integration technologies can help organizations break down data bottlenecks in real-time BI environments. In addition, an article from SearchDataManagement.com will cover the dos and don’ts of developing and implementing a data stewardship program. Access >>>
Premium Content for Free.
Data visualizations get more advanced -- and more complicated
by Craig Stedman
With data visualization tools offering more and more functionality, managing projects to visualize data is becoming a bigger challenge for BI teams.
Successful data stewardship framework needs solid plan, firm focus
by Beth Stackpole
Stewarding data can be a tough nut to crack: lots of effort for a reward that isn't always apparent. To succeed, strong project management is needed.
- Data visualizations get more advanced -- and more complicated by Craig Stedman
Visualizing data forces BI teams to take a deep look at corporate info
by Christine Parizo
Data visualizations have become key components of BI applications. But there's more than meets the eye to enabling end users to 'see' information.
- Visualizing data forces BI teams to take a deep look at corporate info by Christine Parizo
Information delivery snags create big data analytics bottleneck
by David Loshin
Big data analytics applications require high-speed data availability. But one key part of many IT infrastructures isn't prepared for that challenge.
- Information delivery snags create big data analytics bottleneck by David Loshin
More Premium Content Accessible For Free
Many vendors are pitching Hadoop as the foundation for enterprise data management environments that delivers information and insights to business ...
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 ...