In October, we're making some great updates to our Dashboards As Code, making it easier to build reports using code and have fine-grained control over viz, layout, content, and reporting architecture.

We started testing this internally this month and can't wait to share with you a short demo - but before we get to it, here's a peek at how our data team has been using it:

Triet Le (Analytics Engineer): “I can code the entire dashboard into a narrative that people want to read and engage with.”

Huong Le (Data Analyst): “It becomes a lot easier to reuse a dashboard. I just need to clone it, change filters, change dimensions, and re-format it on the fly.”

With this feature, analysts will soon be able to adopt software best practices in your dashboard development. Through codification, you can have full control over the content and design of your dashboards, easily revert changes, make bulk updates, and have customized and reusable visualizations everywhere.

If you’re as excited as we are, stay tuned. We’re running as fast as we can to get this on your hands! :) Without further ado, here’s the new demo.

How do you see this feature being useful to your team? If you have any feedback or suggestions for us, please share them here. We’re all ears.

P/s: We had a lot of fun testing this feature. Our team was even able to whip up a Pokedex dashboard in just a few minutes.

“What is this dataset about? How should I use it? Who can I contact to learn more about using this dataset?”

Sounds familiar? Business users need to really understand a dataset to self-serve effectively. This is why how you present a dataset is as important as how you design it.

From now on, you can write markdowns to add Descriptions to your dataset, making it easier for business users to navigate and explore the data you’ve prepared.

Have any feedback or questions? Share it here with us.

We believe that data should inform action and the faster you can act, the better. This is exactly why we are working on Webhook for Data Alert - a major upgrade to Holistics Delivery capability.

With this, you can quickly set up automated workflows for critical internal communication, like:

• Sending alert messages to the Purchasing team’s Telegram when inventory runs low, or
• Buzzing the marketing team on Slack when ad spending goes over the limit.

We value your feedback, so please don't hesitate to share your thoughts and suggestions.

Our PoP has been a hit with our users because it takes just 03 clicks to uncover data trends over time - but things got a lot more laborious when you want to compare:

• Sales numbers for 'Black Friday' season this year vs. the previous year, or
• The number of registrations for an upcoming webinar vs. a previous webinar from six months ago.

The problem? Two arbitrary time periods. Different start dates. Different end dates.

🥁🥁 Glad to share that this is a problem of the past! With our newly released Custom Period, you can easily select any date range for Period-over-Period comparison.

If you have any feedback for us, we're all ears.

What makes a good coding IDE? Among other things, it helps you spend as little time on troubleshooting as possible.

With Reporting Validation, you take the guesswork out of your modeling workflow. Holistics IDE now tells you exactly which reporting items are broken due to Modeling changes - before you roll out these changes and lets you patch up all those broken reporting items swiftly and en masse.

P/s: We’re always excited to ship new features, but we’re way more excited when we get to build things that you all have asked us for. Take this new feature for a spin, and keep the feedback coming.

We have released a new option in Single-select List filter settings, where you can allow your dashboard viewers to leave the value field empty.

With this feature active, an empty value can be used without the need to apply the filter. We believe this change offers more flexibility and command over your filtering choices

We value your feedback, so please don't hesitate to share your thoughts and suggestions with us.

Query Timeout helps you abort any query that exceeds your timeout limit and takes too much time and resources.

However, previously in Holistics, the Query Timeout setting was only available for Postgres, Redshift, and MySQL databases. Understanding the importance of resource optimization - especially in our current economic climate - we’ve gradually expanded our support for Query Timeout in most SQL databases - making it also available for BigQuery, Snowflake, Microsoft SQL Server, ClickHouse, and AWS Athena.

Learn more here.

If you have any feedback for us, we're all ears.

We totally get it - feels like time's standing still when you wait for a dashboard to load.

We hate the loading screen as much as you do so we’ve been rolling out a new API - Dashboard Preload API - to help you preload the cache of your most frequently used or operationally critical views of your Dashboards so that they can be loaded in an instant.

This means no waiting time - not even enough for a quick coffee break :) Learn more here.

What do you think? Feel free to share your feedback and suggestions here, we'd really appreciate it.

Period Comparison was a hit with a lot of our users as it allows anyone to get insights into how data fluctuate over time. However, previously in Holistics, Period Comparison could only be set up by data analysts. Viewers don’t have the option to turn it on/off freely.

Recognizing the inconvenience and the growing demands for a more unified experience, we took a step forward: Period Comparison is now available at the dashboard level.

Dashboard explorers can now choose to apply the same comparison to numerous widgets within a dashboard and get a bird-eye view into how multiple metrics are changing over time.

What do you think? Feel free to share your feedback and suggestions here, we'd really appreciate it.

Is there a way to customize what fields in the model and dataset are being shown to end users for self-serve exploration? Otherwise, my users are overwhelmed by the sheer amount of fields available.”

Yes, we heard you. Introducing dataset views, where you can curate exactly what the end users will see.

This feature is now immediately available to all 4.0 customers. Learn more here.