Imagine you could craft really compelling data stories in any communication platform or web page, outside the canvas of your dashboards, using components from various existing analytics assets?

What if you could slice and dice dashboard components and share insightful data-driven context across multiple parts of an application in a flexible, consumer focused manner?

Let us know your ideas and use cases where decomposing dashboards and assembling new data stories would be the answer to!

In addition to a rich library of over +40 good looking charts & items, we also love our creative, empowered and engaged users: we're looking into how we could offer you a way to import custom built charts in your Cumul.io dashboard!

Generating context-aware dashboards for your end-customers, or providing a UI builder with predefined widgets? Or, who knows, even trigger dashboards via voice control ...?

The Dashboard creation SDK would help you with these cases by providing convenience functions to generate your dashboards in code. No need to dive in the json contents structure and possible create defunct dashboards. With this SDK generating dashboards in code becomes a breeze.

The dashboard SDK would allow you to create and maintain dashboards through code (no matter the dashboard version) just as you would in the UI, giving you the same level of flexibility while always generating valid dashboard definitions.

Create, update and delete dashboards in code in a very convenient way: choose a name, chart types, data, color schemes, themes, positioning, time zone settings, ... and launch a dashboard on-the-fly following your own predefined business rules.

Let us know if you would want to participate in this research project!

Being able to sort datasets alphabetically, numerically, ...in charts is what users obviously expect. However, sometimes you want a different type of sort in your chart.

Two possible solutions we're investigating:

• In the chart itself drag the category in your legend to influence the sort
• Leverage our hierarchies and allow setting a sort on hierarchies

Let us know what you would prefer!

There exist many types of visualizations each serving its own purpose.

Today we already have +50 items in our list, but we are always looking to extend it with new valuable and commonly used (or underestimated) items.

Let us know which visualizations we should absolutely add to our library and what your use case is!

We're continuously working on improving our existing set of charts.

Do you have a specific request concerning a specific chart, do not hesitate to send it to us!

Wouldn't it be convenient and fun to design dashboards together with colleagues in real time, and see immediately what insights your colleagues find interesting to visualize?

Realtime collaboration on dashboards would allow you to analyze and/or build dashboards together with your team. You would see who makes what change and at all times you would share the same view on data (provided they have access) with them.

Bumping into use cases where you want to animate data over time? Let us know!

We are exploring an animated time travel for our charts. Automatic animation over time allows you to easily identify changes over time and spot new insights. Some things we're reflecting about is controlling the speed of animation, settings for continuous loop and identifying the best query patterns depending on the data source.

It is our mission to increase your analytical power, and make sure smart decisions are taken!

We are looking into the possibility of helping you stepping up your game by proving access to easy-to-use analytics capabilities like:

• Predictive analytics: Predict unknown future events or forecast based on historical data. Proactively identify patterns, risks and opportunities and anticipate outcomes and actions.
• Clustering: Identify underlying patterns in a pile of data points and segregate the data in a number of different clusters with similar traits.
  Very powerful to easier understand & manipulate these clusters.
  
  Some examples:
• Increase impact of marketing campaigns by rolling out a personalized and targeted campaign to a cluster of buyers with similar characteristics
• Provide relevant content for clusters, with similar viewing behaviour
• Anomaly detection: e.g. fraud, machine defects, ...

In data driven decision making scenario analysis can be an important task.

To make this task even easier we are examining the possibility of using variables (or parameters) in interactive objects and calculations on top of your data.

Change one or multiple input variables to assess output, and compare your best, base or worst case scenario e.g. double the price of a bottle of soda and reduce the volume in a bottle by 15%, ..

The goal is to easily allow you to create a 'What-if' playground for your stakeholders allowing them to review all possible outcomes, test decisions, understand potential impact of a specific variable and identify risks, ... before taking a decision.

Most people are familiar with traditional, statistical approaches to explore data and discover a limited set of insight types.

We want to take it one step further, and enable insight mining to interpret all your data and generate automatically relevant insights taking into account multiple dimensions & measures.

The insights could be ranked based on overall interestingness to the end-user and presented automatically as a set of relevant data visualizations!

In a snapshot, users could spot

• Trend reversal detection
• Outlier detection
• and more

As part of the R&D track we started, we are also investigating to enrich these minded insights by retraining based on explicit & implicit feedback.

Get in touch if you want to find out more about this R&D project!

We recently initiated a research track for a visualisation recommendation engine. This engine would analyse a specific dataset and automatically propose interesting charts on it.

This could help a lot in data exploration exercises but can also empower less data-savvy end-users: an instant dashboard proposal of what is observed in the data and/or could be interesting to further explore!

The results would be pre-configured charts that will be easy to manipulate just like any other chart, and would give you a kick start to navigate in the user interface with already relevant charts.

Wanna stay tuned on this project? Let us know! Or share any relevant use case you come across.

An analytics engine only works as good as the oil quality you fuel it with: raw data need to be prepared, manipulated and/or cleaned up to get precise and relevant insights. Often this is a long complex process for platform owners.

As 'time-to-insight' is very important to us, we want to look into giving you extra easy-to-use options for manipulating & transforming data and to speed up your go-to-market.

Let us know what some of your data transformation use cases are!

In some cases, like with high velocity real-time streaming data, you don't have access to the full history of data, but only to the last value of that moment and its updates. And updates typically come at high velocity, as in milliseconds.

Today you can already send, store & update data in Cumul.io, but with high-velocity streaming data you can bump into our API-limits.

By providing a specific API-endpoint or a special dataset type 'streaming' (we're evaluating several options) we could work out a solution to deal with this type of data.

Let us know what your streaming data use cases are!

We are working on extending plugin-connectors to enable sending SQL queries to plugins: A user could then write SQL queries in the UI. These would be sent over to the plugin in the query request.

We are working on extending plugin-connectors to enable geographical data coming from the plugin. No need to upload a topojson or geojson file separately anymore!

We are working on extending plugin-connectors to enable hierarchical data coming directly from the plugin. This eliminates the need to create a hierarchy on top of the dataset (manually or via API).

We are keeping an eye on commonly used data sources that are valuable in an embedded analytics setting.

Do you have a data source for which we do not yet have an out-of-the-box connector and that is commonly used. Let us know!

Tip: Know that for data sources for which we do not have a connector, you can always use our plugin solution.

Portals could further be enhanced in terms of authentication (leveraging 'Integrations' and SSO tokens) and configurability (access to pages, tabs & dashboards).

For many organizations it is important to be able to audit usage and access of data. As an organization owner, it would be interesting to have a detailed view on:

• Dashboards edits per user
• Dataset actions of such as adding/deleting/scheduling
• Exports set per user
• Alerts set per user
• and more...

Diagnose platform performance, monitor behaviour, and take actions based on audit & log trails to improve application usage.

Our dashboards already support numerous languages, but our application itself (in which you edit your dashboards) is limited to English, French, Spanish and Dutch. We're looking to add more platform languages. Let us know which ones you would need!

In addition to existing login options, other options such as Google Sign In or SAML SSO can be interesting to extend secured access possibilities.