Business Intelligence Futures: Cloudy, Collaborative, Advanced
Using data to make business decisions can be traced back to the 1800s with Florence Nightingale pioneering the use of applied statistics to create visual ways …
Presentations
A Collection of BI Slideshares and Decks
Visual: Top Government Business Intelligence Trends for 2017
Enterprise companies aren’t the only institutions to have interest in analytics. Governments, too, face some of the same challenges as do their private …
Developing the Business Case for Business Intelligence
So you’ve decided you want to jump on the data analytics bandwagon and propel your company into the 21st century with better analytics, reporting and data …
Top 10 Business Intelligence Trends for 2017
Over the last few years, data has become the lifeblood of organizations. Those that harnessed the power of this data by empowering business users found …
Business Intelligence Through History: The Era of Self-Service
Phocas is back, with part two in a three-part series highlighting the past, present and future in Business Intelligence. According to the software provider, …
The Historical Roots of Business Intelligence
According to Business Intelligence and Data Analytics software vendor Phocas, using data to make business decisions can be traced back to the 1800s with …
The Benefits of Utilizing Predictive Analytics in E-Commerce
Check out this hour-long webinar on how using predictive models can benefit those in the e-commerce sector. This presentation was assembled by the folks …
Predictive Analytics: 7 Use Cases for Apache Spark
According to TIBCO’s SVP of Analytics Mark Palmer, there are 7 use cases where Apache Spark can and should be applied to predictive analytics. The …
The 6 Worst Practices in Business Intelligence
There are many reasons why Business Intelligence projects fail to yield impactful results. Consider this: BI initiatives have a failure rate north of 70 …
Taking the “man” out of Data Management
This slideshow presentation, courtesy of the innovative folks at SAS looks at how organizations will handle growing data volumes in the future, part of this, …