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Automated Analytics Bake Off: Hyper Anna vs Qlik vs ThoughtSpot

Automated Analytics Bake Off: Hyper Anna vs Qlik vs ThoughtSpot

Chelsea Wise

The Automated Insights Challenge. Because Not All Insights Are ‘Insights’.

How do next generation business intelligence (BI) tools — Hyper Anna and ThoughtSpot stack up alongside legacy players like Tableau, Qlik and Power BI? Particularly on key metrics like cost to serve, speed to insight, and quality of insight (including accuracy)?

A key promise of embedding AI in a Business Intelligence tool is how it can help to surface hidden insights that we often miss using the traditional method of building manual reports and dashboards.

And with the rise of automated analytics in recent years, many BI tools claim that they have the power to automatically generate actionable insights for the business (e.g. finance, sales, marketing teams). However, there are insights and there are ‘insights’.

So what are automated insights?

Automated insights are defined as insights that software can generate on its own — without human assistance.

In 2020, Gartner highlighted the decline of the dashboard, pointing towards the adoption of automated analytics:

TREND — Decline of the dashboard

Dynamic data stories with more automated and consumerized experiences will replace visual, point-and-click authoring and exploration. As a result, the amount of time users spend using predefined dashboards will decline. The shift to in-context data stories means that the most relevant insights will stream to each user based on their context, role or use. These dynamic insights leverage technologies such as augmented analytics, NLP, streaming anomaly detection and collaboration.

Data and analytics leaders need to regularly evaluate their existing analytics and business intelligence (BI) tools and innovative startups offering new augmented and NLP-driven user experiences beyond the predefined dashboard.

However, there is a huge gap in the quality of auto-generated insights created. Namely, the quality of automated insights generated by one BI tool is not the same as another. Some automated insights may not be ‘insights’ after all.

In this article, we want to give you real examples of automated insights generated by Hyper Anna, ThoughtSpot and Qlik — using real-world data for transparency and fairness. The IMDB dataset includes budget, box office gross and movies details.

The Results - Qlik

This is Qlik.

Here you can see that the quality of automated insights generated are just a simple data aggregation.

This is Qlik. The insights are not comparable to the quality of a human analyst.

The insights are not comparable to the quality of a human analyst.

The Results - ThoughtSpot

This is ThoughtSpot.

Here you can see that the quality of automated insights generated are again just a simple data aggregation.

This is ThoughtSpot. The insights are not comparable to the quality of a human analyst.

The insights are not comparable to the quality of a human analyst.

The Results - Hyper Anna

This is Hyper Anna.

Here you can see that the quality and quantity of automated insights are much much more than basic aggregate data summaries produced by Qlik and ThoughtSpot.

Instead, Hyper Anna provides a rich data story, with context, evidence, visuals and written summaries — output that rivals a human data analyst’s output.

First, Hyper Anna has called out that Movies studios have increased their investment significantly, up by 92% compared to the previous 10 years. The increase in investment is driven by the Action and Comedy Genres. On the other hand, Fantasy, Family and Thrillers have all seen a decline in investment.

This is Hyper Anna. Insights For Everyone.

54% of the box office worldwide is driven by only 68 movie stars (6.6%). In particular, Daniel Radcliffe, Ben Stiller and Johnny Depp alone contribute towards 5.5% of total worldwide box office sales.

This is Hyper Anna. Automated Data Discovery.

This is due to the release of Harry Potter and Pirates of the Caribbean series.

This is Hyper Anna. Automated Data Discovery.

Finally, Anna has summarised all of the key takeaways in a handy one-pager, rivalling a summary of what a human analyst would be expected to produce.

But instead of taking hours or days for a summary of findings, Anna has produced all analysis proactively, automatically, in minutes.

Hyper Anna's self service insights gives you confidence. Not strips you of it.

Conclusion

At Hyper Anna, we believe data should give you confidence. Not strip you of it.

With the advances in BI technology, new generation tools like Hyper Anna are at the forefront of delivering insights that are truly insightful — accurate, fast and designed to surface ah-ha moments — so teams can focus on the actions that matter most.

Looking to read more?

Last updated in May 2021, this 40 page report is the go-to ‘Hyper Anna vs. Top BI Tools’ guide. Download to discover:

CONTENTS

  1. Hyper Anna vs. Tableau, Qlik, Power BI: Hyper Anna, Tableau, Qlik and Power BI compared, side by side feature comparisons
  2. Data Visualisation vs. Insights: Analysis and storytelling is very different to dashboards
  3. Beyond Dashboards: The rise of Natural Language Processing (NLP)
  4. The New Machine Age: Automated data discovery, self-service BI, machine learning and analytics
Bottomline

Factual product tests and feature comparisons for CEOs, CFOs, CDOs and leading decision makers.

DOWNLOAD THE FREE GUIDE HERE

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