Why tools?

Within the Futures By Design project, we work together on different tools and formats which we use to support organisations. The purpose is to help participating SME’s with their next step to become more data driven. The developed tools help to outline the current situation, define the problemstatement and explore the possibilities.

Every tool has its own added value and is helpful in a different stage of working data-driven. It is useful to know your organisations level of data maturity before you start a project. Below is the recommended order in which the tools can best be used and create the most value *.

Currently we are still busy developing new tools. Keep an eye on our website!

* Some SMEs may not require all steps or a different order. This is in consultation with the partner.

Data Jumpstart

This scan consists of a set of 40 questions that dive deeper into various aspects of data maturity. For example, we look at the infrastructure, tools and culture within the organization. Every company that starts with the FbD process completes this scan. When the Data Jumpstart has been completed, we get started with the outcome. You will receive a report in which we break down the results and benchmark them against the reference group.

Start now with the Data Jump Start

Data Brainwave

The Data Brainwave is a tool which helps a company identify specific and feasible projects in the field of Data Science. By filling in the twelve boxes in the canvas, it becomes clear where the opportunities and challenges lie with regard to working with data. The filled canvas provides a Data Scientist with the necessary information to eventually define a project.

The Data Brainwave distinguishes between three main categories:

  • Knowledge infrastructure
    The extent to which various software is currently used, the expertise in-house, or collaborations with IT parties.
  • Preconditions
    Prior to a project, consideration must be given to the commitment from different (management)layers, the available budget and the application of regulations.
  • Expectation management
    By considering the expected results and ongoing challenges in advance, the chances of the project succeeding are greater.

The twelve sub-topics on the canvas have been determined based on more than fifty Data Science projects and scientific research. The research shows that it is difficult for companies to start with Data Science. This Data Brainwave can therefore also be used as a stand-alone tool. However, some partners also offer the option to complete this canvas together. Ask the affiliate partner for more information!

Download the Data Brainwave now

Data Booster

The Data Booster has been developed to convert the results of the Data Brainwave and Data Jumpstart into actions. A brainstorm session is organized with the affiliate partner. The insights from the various used tools are discussed and used to start with a first specified step. During this session, we look at what else the company needs in terms of tools or support to achieve the formulated goal. After this session, the company or another commercial party can immediately start a project. In some cases, the partner can also support in the implementation of the project.

Data Exploration

Many SMEs are not yet familiar with the quality of their data. The Data Jumpstart shows where the organization stands in the terms of data maturity. Part of this is the data quality. For example, there may be a lot of empty values in certain columns, or a negative number for an invoiced amount. The Data Exploration tool has been developed to determine as an organization which parts in the data can improve data quality. The data can be uploaded in a simple manner and the company will receive a report containing the various findings in the data.

Various projects have shown that many organizations need insight into their demographic customer distribution. The Zipcode Explorer tool has been developed for this purpose. It provides insight into from which city and zip code the customers come from. By using this tool, for example, marketing can take place in a more targeted manner.

Data Ethics tool

The Data Project Ethics Assessment (DPEA) is intended as a decision-making tool to help data (science) students, practitioners and entrepreneurs start a data science project. The DEPA consists of a series of questions covering some, but certainly not all, important ethical considerations. Filling in the form gives a global picture of the ethical impact of the project. This could then affect the choice to start the project, make changes, or stop it altogether and abort it.

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