After months of internal testing, we've changed radically how Datastripes proposes analysis.
We ve always wanted Datastripes to be a smart, proactive assistant, but our initial proposal engine wasn t as immediate as we wanted it to be. You were already loaded with ideas, and the last thing you needed was more friction.
So, we simplified it. Now, as soon as you connect your data source, you ll see a brand new button right underneath it: Let me propose a flow.
We just launched a feature in Datastripes that makes building synthetic scenarios effortless.
But before all, what are these Synthetic scenarios? They are simulated what-if datasets created from real data to model extreme events, crises, or growth, letting you explore potential outcomes without waiting for them to happen.
Whether you want to simulate a black swan, a market crash, or a sudden growth surge, you can now do it visually, entirely in-browser, with zero backend setup.
As in previous posts, Datastripes now lets you explore the future of your data with the Scenario Node and a new Scenario Builder (see the image below).
Predicting yesterday s trends isn t enough for today s chaotic world. Now you can model not just what s likely, but what s possible. LSTM-powered forecasts, pre-defined scenarios, or fully custom shocks: your data, your rules.
Hi PH (last post before tomorrow s launch, promised!)
At 20h from Datastripes launch here on PH, I demoed it to a CEO and ops team, and surprise, we hadn t included MDB (Microsoft Access) file support. Classic missed edge case (I m 24, I know Access, but they kinda taught me to stay away from it ).
But honestly, that s exactly why real-world testing is non-negotiable.
In just 2 hours, we built and fully tested MDB integration.... kaboom, problem solved.
We're thrilled to announce our most powerful new feature yet for DataStripes (https://datastripes.com/): the Autonomous Scenarios node (also called Synthetic Scenarios Generator).
Datastripes is a visual and collaborative data storytelling platform, and in just three days, you'll be able to transform how you understand data. With this new node, you don't just see your data; you can actively interact with its future.