EZINE:
Technology advancements in recent years have brought about huge social challenges. Artificial intelligence and big data, for example, have gained the serious attention of policy makers across the world.
EGUIDE:
This expert e-guide explores new and emerging business analytics trends and technologies that have the potential to give companies the competitive advantage they need.
WHITE PAPER:
How can cloud computing help companies in the new world of big data? This expert handbook looks at some possible answers to this question.
WEBCAST:
Check out this brief webcast to discover how a network traffic visibility tool works, and if it would be a good fit for your organization's IT environment.
WHITE PAPER:
Businesses are using visual data to make sense of information. How can visually oriented techniques help make sense in the business world? Read this resource to find out how to get a quick look at valuable information by implementing visual data.
EGUIDE:
There's more to effective data visualization in advanced analytics applications than simply dumping data into a tool and creating useable charts. In this e-guide, learn 4 steps to help your data visualization project succeed. Plus, read how one company approached adopting a reporting and visualization tool – and learn how they benefitted.
WHITE PAPER:
Read this white paper to learn more about Tableau's unique approach to in-memory software architecture; what it is and what it means for your organization.
PRESENTATION TRANSCRIPT:
This webinar transcript discusses the changes in data and data management because of the explosion of big data. One of the major questions discussed in the webinar is "Will data warehouses survive much longer?"
PRESENTATION TRANSCRIPT:
According to expert analysts, 80% of data is unstructured and without the right platform, this data is essentially unusable to businesses. Read this transcript to discover how the right architecture and strategy can enable you to unlock the true value of big data.
EGUIDE:
Poor data equates to wrong decisions, bias in the AI algorithm and flawed decision-making. What's more, data that personally identifies an individual can only be used in very specific ways, as stipulated by GDPR. Read about data preparation in this e-guide.
