Data Cube

Introducing our cutting-edge software, Data Cube, designed specifically for data-gathering and management of indicators in a manufacturing environment. Data Cube is a comprehensive solution that seamlessly interfaces with all software systems, including Programmable Logic Controllers (PLCs), to collect and analyze data from various sources in real-time.

With Data Cube, you can effortlessly gather data from multiple systems and devices, such as sensors, machines, and production lines, and aggregate it into a centralized database. The software offers robust data integration capabilities, allowing you to collect data from diverse sources, normalize it, and store it securely for further analysis.

One of the standout features of Data-Cube is its stunning visual styles powered by Power BI, a leading data visualization tool. The software provides visually appealing and interactive dashboards that allow you to monitor key indicators, trends, and performance metrics in real-time. This empowers decision-makers to make data-driven decisions quickly and effectively, leading to improved productivity and operational efficiency.

Data Cube also offers advanced analytics capabilities, such as predictive analytics and machine learning, to uncover hidden insights and patterns in your data. This helps you identify opportunities for process optimization, predictive maintenance, and continuous improvement.

Data Cube is highly scalable and customizable to suit the specific needs of your manufacturing environment. You can configure the software to track and analyze indicators that are most relevant to your operations, and create custom reports and alerts to keep stakeholders informed.

Overall, Data Cube is a powerful tool that empowers manufacturers to gather, analyze, and visualize data from various sources, driving informed decision-making and continuous improvement. With its seamless data integration, stunning visual styles powered by Power BI, and advanced analytics capabilities, Data-Cube is the ultimate solution for managing indicators in a manufacturing environment.

KPI & Reports Configuration

Intuitively build custom reports with fixed and calculated indicators.

Add as many indicators as you want to track

Build your tracking data-cube and agregate it in customized reports

Link data input from your production ERP

Link data input to your production ERP

Seamlessly navigate through custom views tailored to how you digest information

Are your indicators stored in a vast array of spreadsheets?

Slice through your data from multiple points-of-view

Compare indicators across teams, machines, departments

Change from daily to weekly to monthly timeframes with ease

Ready-to-use tabular data and visuals

Production units downtime analysis

How efective is your ability to dive into the major contributors of your downtime?

Data repository for downtime data

Aggregate information vs. multiple dimensions | per product, per shift, per team

Custom visuals for data presentation | exported directly to Excel

Easy link with Power BI visualisation tools

Generate visual feedback forms for shiftly / daily / weekly reporting

Best way to instil ownership in your front-line manager is to have them report facts in a structured way.

Generate custom reports from Data Cube direcly in Excel

Easily navigate the downtime tree

Maintain a standard of reporting and enforce consistency by design

Manage targets for measure and color-coding logic direclty from Data Cube²

Let's imagine a real life scenario...

1

The month has just finished

-> how many days do you have to close the month?

-> do you go through a process of data cleaning & checking?

-> are you responsible for updating performance boards?

2

You have to do the monthly reporting

-> how many reporting lines do you have for which you need to prepare data

-> is the reporting done in the same tool?

-> how often do you expand and scale your Excel spreadsheets?

3

You have to prepare the charts to be displayed on the performance boards

-> do you build your charts so that they update from a source file?

-> are you using a standard across similar production units?

-> do you make the color coding on charts manually?

4

For sure some if not the majority of data needs to be agregated

-> aren't you tired of complex Excel spreadheets that break down?

-> wouldn't it be nice if the software from which you are exporting data was a bit better?

-> are you dreading at the thought of preparing the data?

5

And always there are unrealistic deadlines to get it done

-> how much does it take you to prepare the data for 1x performance board?

-> if something changes in the base data, how much do you need to redo?

-> can you easily deep-dive into details?

How much time do you waste during a month with messy data reporting?

-> every day, to update with results of the last 24H

-> every week, to prepare the feedback for the past 7 days

-> every month, to aggregate everything and see trends for the month

30

min / day

180

min / week

14

h / month

168

h / year

let Data Cube save your time ->