The datapine Blog
News, Insights and Advice for Getting your Data in Shape

How Artificial Intelligence Takes Business Intelligence Tools To The Next Level

illustration of a man holding a brain hologram in his palm, representing artificial intelligence

Artificial intelligence (AI) is here and it is getting smarter all the time. For many, mention of AI immediately conjures up images of The Terminator. At the very least it makes many think of robots and machines disrupting the workforce and replacing jobs. While the latter may not be completely out of the realm of possibility, datapine is leaving that side of AI to Silicon Valley and John Connor. Instead we are excitedly monitoring and utilizing artificial intelligence in business intelligence.


6 Cloud Computing Challenges Businesses Are Facing In These Days

image illustrating how the cloud is working

Everywhere you turn these days “the cloud” is being talked about. This ambiguous term seems to encompass almost everything about us. While “the cloud” is just a metaphor for the internet, cloud computing is what people are really talking about these days. Cloud computing is the delivery of hosted services over the internet, through a network of remote servers. These remote servers are busy storing, managing, and processing data.


Data Exploration Vs. Data Presentation – Learn More About The 5 Key Differences

Datapine's Key differences between Data Exploration and Data Presentation

The verdict is in: Data is big and business intelligence (BI) and data visualization tools are here to stay. Organizations of all sizes are now able to easily connect to their various data sources, interact and make sense of their data, and share their analyses. As the BI marketplace matures, organizations are realizing they need robust tools that can handle a wide range of analysis types. Just as there are various dashboard types and different data visualizations tell different data stories, there are multiple intentions for data reporting and analysis. There are two overarching business intelligence buckets that can help determine what type of data report to build: data exploration reports and data presentation reports. Let’s dig deeper into each one and showcase the different data visualization techniques between data exploration and data presentation.


How to Build Interesting Data Reports People Love to Read

Example of a dashboard designed by datapineHistorically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for business. However, they have been a necessary evil, created by analysts and consultants. The term usually conjures up images of static PDFs, old-school PowerPoint slides and big tables. It doesn’t have to be this way. The business intelligence industry has been revolutionized over the past decade and data reports are in on the fun. The rise of innovative business reporting tools means you can create data reports people love to read. Read on to see why data reports matter and our top data reporting tips.


Top 11 Business Intelligence and Analytics Trends for 2017

overview of business intelligence trends for 2017

Over the past decade business intelligence has been revolutionized. Data exploded, and became big. We all gained access to the cloud. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts.