60 demand generation pros share their best tips for setting up Google Analytics conversion tracking in order to measure all lead activity on your website.

Do more with your dashboards. If, like me, you are someone who uses data to make decisions (what we call a business user), I suspect your experience with analytics and in particular dashboards is mixed verging on the ‘not that great’.

We asked 133 marketers to share the tools and processes they use to conduct content audits, then compiled the responses into this 10-point checklist.

With our last release of the year, we are happy to deliver several product enhancements that will set the stage for a successful new year ahead and close out on a host of exciting enhancements throughout 2019. The Qlik Sense November 2019 release introduces expanded cloud connectivity, SOC 2 Type 2 certification, new visualization capabilities, mobile offline support for Android, reporting improvements and more.

The next Yellowfin release is absolutely huge. We’ve focused on the experience of data consumers within organizations with three new features - code mode for dashboards, Present and our new mobile app.

Looking to cash in on people purchasing items after finding them on Google? Here are the best ecommerce SEO tips you can use to reach page #1 in SERPs.

If you’re looking for a low-effort, fast-acting change you can make to impress a new client or boss, consider implementing one of these SEO quick wins.

We’ve been thrilled to recently bring Tereza Nemassanyi to our team as our new CRO. Tereza brings more than just experience to the Keboola team from Microsoft - her unique perspective and constant devotion to speaking on innovation is the kind of thought leadership that excites us. We sat down with Tereza to get the scoop on her approach to innovation and how she thinks the innovation backlog can be the key to business growth.

The hype around AI is deafening, creating a noisy and confused environment. Organizations are looking for clarity on the role and application of AI in bringing more value to data, and for help avoiding the pitfalls that surround so many of these projects. These pitfalls include error-prone decision making and unintended consequences based on flawed data or “black box” algorithms, and gimmicky approaches including simple search and bolt-on AI that overpromise and under deliver.