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How Many Data-Driven Decisions Today?
To prove that being data-driven is not just a hype, we sent out a poll to our followers asking them to assess how many data-driven decisions they made that they and how they felt about it. The results of our poll clearly show that decision-makers feel like being data-driven has paid off!
Module 2 Afgerond
Provincie Zuid-Holland rondt Module 2 af van Transitie Programma ‘Datagedreven Werken’! Tijdens deze module hebben de deelnemers de potentiële impact van datagedreven werken op hun team bepaald, en samengevat in een eigen infographic. Daarmee is een sterke basis ontstaan voor Module 3, waarin KPIs, KPI-eigenaren en aansturing worden bepaald. Kortom: de deelnemers zijn goed onderweg naar…
Switch it up in 2023
Welcome to 2023! Time to get back to your routines after the holidays? Or, do you want to switch it up this year? Avoid the same old, same old and and become data-driven with Zight Academy! The best part of our training? Your efforts to become data-driven will be valuable for years to come! This makes Zight Academy an ideal option to switch it up in 2023.
Data-Driven Maturity Test
How data-driven is your organization? Is all business value extracted from your data? Should this be improved? For many organizations, it can be difficult to answer these questions quickly. So, to decide on your data-driven maturity, you could use a test which helps you to get a complete overview of the five different data-maturity phases. That is why Zight Academy has developed the Data-Driven Maturity Test!
Digital Transformation and Data Literacy
Digital transformation can seem daunting for people who have no clue how data works. But no need to worry! In this article, Sophia Matveeva explains that there is no necessity to learn how to code, you just need to learn to work with the people who do! Teaching your employees about the important concepts rather than skills gives them the possibility to clearly define what they really need from IT.
Treating Data like a Team Member
During this Tedtalk, Nadjia Yousif explains why you should treat the technology you work with as a team member. If we change the word technology to data, she asks us: What if we treated data like a team member? When a company hires a new employee for a multimillion-dollar contract, would we cast her aside without using any of her skills? The answer is that we would not. We would not let this employee sit alone like we do with data.
