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6 most useful data visualization principles for analysts

The difference between consuming data and actioning it often comes down to one thing: effective data visualization. Case in point? The John Snow’s famous cholera map. In 1854, John Snow (no, not that one) mapped cholera cases during an outbreak in London. Snow’s simple map uncovered a brand new pattern in the data—the cases all clustered around a shared water pump.

3 types of data models and when to use them

Data modeling is the process of organizing your data into a structure, to make it more accessible and useful. Essentially, you’re deciding how the data will move in and out of your database, and mapping the data so that it remains clean and consistent. ThoughtSpot can take advantage of many kinds of data models, as well as modeling languages. Since you know your data best, it’s usually a good idea to spend some time customizing the modeling settings.

How to build a self-service BI strategy

Think about the times you've wished you had more insight into your business data. Or all of the times you wished you could answer questions about your business performance without waiting for someone else to get back to you. Gone are the days when businesses rely solely on IT staff to provide reports and analytics. With self-service business intelligence (BI), users can create their own reports, dashboards, and data visualizations without relying on IT help.

How ThoughtSpot Uses ThoughtSpot for Field Marketing

As ThoughtSpot’s SVP of Corporate Marketing I oversee a field marketing team that acts as the glue between our Marketing and Field Sales teams. When people talk about field marketing, they’re often just thinking of events — but we have a far broader remit than that. Each member of the Field Marketing team sits within a specific sales region, acting as a kind of regional CMO.

Ep 59: New Zealand's Crown Research Institute CDAO, Jan Sheppard on Treating Data as a Treasure

Treating data as a treasure is a foundational principle for Jan Sheppard, the Chief Data and Analytics officer at New Zealand’s Crown Research Institute of Environmental Science and Research (ESR.) This agency leads ongoing research in public health, environmental health, and forensics for the country of New Zealand. Like many other CDAOs, her role is relatively new. But the unique values she applies to data can be traced back many hundreds of years to the indigenous Maori people of her country. Through her work, Jan recognizes the profound impact data can have on people and their environments for generations to come.

The case for a query modification language and why dashboards are dead

In 1895, a German physicist was trying to determine if he could observe cathode rays escaping from a glass tube and noticed an unexpected glow on a fluorescent screen several feet away. On further examination, it turned out to be a different kind of radiation that we now know as X-ray. Fast forward to today and you can’t even imagine diagnosing many medical problems without the X-ray.

What's new in ThoughtSpot Analytics Cloud 8.7.0

Want to bring the data-driven insights created in ThoughtSpot to the apps your teams use most? With this month's release of ThoughtSpot Analytics Cloud 8.7.0.cl, we're launching ThoughtSpot Sync that lets you operationalize your insights by sending data directly to tools like Slack, Microsoft Teams, and Google Sheets. Watch this video to learn more about ThoughtSpot Sync, along with other new features like Liveboard tabs and threshold-based alerts in SpotIQ Monitor.