Astrato Roadmap Update: August 2023

Welcome to the August edition of the Astrato monthly roadmap update!

Our monthly roundup showcases the exciting new and improved capabilities of our solution – so you can continue to build world-class dashboards and Data Apps that drive better decision-making and make an impact, fast. 

Here, you’ll find recent releases, info about our most exciting new features, and all the latest news straight from our team of product experts 🚀

Here’s what we’re talking about this month…

Filter bucketing dimension in the Data Explorer, performance boost to the workbook, and the new connection with Databricks!

 

Databricks: New Data Connection Available

Analyze your Databricks Data in Astrato

Databricks is a new connection option in Astrato. The combination of Astrato and Databricks empowers BI users with advanced analytics and real-time collaboration. It combines Databricks’ robust data processing capabilities with Astrato’s user-friendly interface for writeback input and context enrichment. 

This synergy enhances interactive data exploration, simplifies data entry, and enables users to annotate data effectively. Users benefit from efficient analysis and informed decision-making, maximizing the potential of both platforms for Business Intelligence (BI) professionals.

Find out more, here. 

 

Data View Editor: Filter Bucketing Dimension in the Data Explorer

Bucketing Dimensions for More Precise Filtering 

Users can now filter data by specific buckets – which are groups or categories of data points – providing greater flexibility and control over data analysis. The applications of this are extensive! By allowing for more precise filtering, users can examine the data most relevant to their business question, driving better insights. 

Additionally, when dealing with a continuous variable, such as age, revenue, and price, grouping data into discrete ranges can make analysis more manageable. This process of aggregation also lends itself to data visualization, in that categorizing variables allows them to be visualized in formats like bar and pie charts.

Find out more, here. 

 

Workbook: Reduce Initial Load Time (Performance boost)

Faster Load Time; Faster Insights 

By streamlining the initial load time for workbooks, users can now benefit from significant performance improvements. The workbook is where users build and design their dashboards, so performance improvements are a win for everyone. 

These improvements were achieved by:

1. Eliminating unnecessary components per object.
2. Re-using loaded resources.
3. Reducing the number of requests, resulting in a faster and smoother experience.

Incorporating these optimization strategies has not only enhanced users’ experience with faster load times but also ensured a more efficient dashboard building process within the workbooks.

 

Find out more, here. 

 

Table Improvements

Adjust Administration Tables with Sorting, Filtering, and Adjust Column Width 

Users can now sort, filter, and adjust column width to organize tables in the Administration area more efficiently and enhance readability. This functionality allows users to quickly organize information by relevant criteria. 

As a result, users can more easily find specific information and optimize table format for a more efficient workflow. Administration is essential to keeping an organized, efficient workflow; sorting, filtering, and format customization for the tables assist with that. 

Find out more, here. 

 

Workbook: New Format and Settings for Table Progress Bars

Change Position and Dynamic Scaling 

Users can now further customize table progress bars (visualizations of progress towards a goal, a common one is loading bar whilst downloading something) by changing position as well as dynamic scaling, which uses the largest value to determine the top end of the scale. 

Progress bars have several valuable use cases, such as sales targets (as in the example below), project milestones, and data processing. 

Find out more, here. 

 

Workbook: Filter Bar – Limit Fields Available for Filtering

Control which Fields the User can Filter in the Workbook 

When limiting filters, you can use all defined dimensions from the Data View, or select individual fields manually. Limiting the available fields provides a more guided analytics experience, encouraging the user towards engaging with the dashboard most effectively. this guided approach to limiting filters not only streamlines the user’s interaction but also adds significant business value by focusing their attention on the most relevant insights, thus accelerating decision-making processes. This user-centric design lends itself to business users who may be less familiar with data analytics and visualization platforms, bridging the gap between complex data and easy comprehension.

Find out more, here. 

And that’s only the start of what we delivered this month! For a complete list of feature releases and product updates from August – including updates to the data view editor, administrative features and workbook formatting – visit our Release Notes page, here.

Keep an eye out for next month’s roadmap update for all your product news, visit our roadmap page, and connect with other ASTRATOnauts in Astrato’s online community, Astrato Galaxy, in the meantime.