DataStories

24/12/2025

Enjoy your Christmas holidays! 🥳

21/12/2023

Merry Christmas and Happy New Year from DataStories! 🎅🎄🧑‍🎄

06/12/2023

Healthy snacks from Sinterklaas! 🥳

28/08/2023

DataStories will be present at the DIGITALISATION IN MINING EUROPE conference (29-30 AUGUST 2023) at Bygget Fest & Konferens, Stockholm, Sweden

10/05/2023

Exciting news for everyone in the food processing industry! 🍟 Join us for a webinar on prescriptive analytics hosted on May 17th at 10am CEST.

Discover how virtual experts can prescribe optimal set points for your operations, connecting feed data and operations data to optimize profit every batch and every hour.

Learn from practical use cases that have generated double-digit yield improvements and 30% waste reductions for our clients. Don't miss out on the opportunity to gain valuable insights and ask questions during our live Q&A session.

Are you interested? Register for free 👉 https://bit.ly/43Mr6jf

23/12/2022

02/06/2022

Looking for a new job opportunity?

Come and work for us!

DataStories makes sense from spreadsheet data. We apply different predictive analytics algorithms and workflows based on what you want to learn from your data.

28/04/2022

Earlier this month our CEO, Katya Vladislavleva, visited our client Barry Callebaut to interview Filip Buggenhout, Director Innovation & Technology, about Smart Production and the Smart Factory of the future.

Filip shared his vision and experience in setting up a smart manufacturing and automation program and unique insights about the value of analytics, timelines to get to the first provable business value, the importance of an operator-centric approach and his recommendations for leaders envisioning autonomous self-optimizing operations.

A must watch interview for those looking to drive change and achieve digital transformation in their organization.

06/04/2022

𝗙𝗔𝗤 𝟱: 𝗛𝗼𝘄 𝗺𝘂𝗰𝗵 𝗱𝗮𝘁𝗮 𝗶𝘀 𝗲𝗻𝗼𝘂𝗴𝗵 𝘁𝗼 𝗴𝗲𝘁 𝘃𝗮𝗹𝘂𝗲 𝗳𝗿𝗼𝗺 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀?
So now you understand analytics, predictive and descriptive analytics and the difference between them. The next stage is knowing how much data you need in order use analytics to the fullest.

Let's find out the details in FAQ 5:

Many clients ask this question. We start talking about predictive analytics and modeling when the application has high complexity and analysing it by “eye-balling” it becomes difficult. This does not only happen when we have too much data, but also, for example, when there is too much data, or w...

01/04/2022

𝗙𝗔𝗤 𝟰: 𝗪𝗵𝗮𝘁 𝗶𝘀 𝘁𝗵𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗮𝗻𝗱 𝗽𝗿𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝘃𝗲 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀?
We already covered predictive analytics and prescriptive analytics. This may cause some confusion between the two. We wrote another FAQ clearly comparing both against each other.

To achieve end-to-end automation with analytics we need more than predictions. It is not enough to know that a machine will break or the yield will be off-spec. We want to know when will this happen, and what should we do to prevent this from happening.