In 2019, AE joined the IO.Energy Ecosystem, an initiative meant to facilitate new energy services through customer centricity. While most energy players know all too well that putting the customer at the center of the organization and adapting your strategy accordingly is what customer centricity is all about, a lot of them struggle putting the idea into practice. For those organizations, switching to the Maka approach can work wonders.
Many consumers find their energy consumption – not to mention the bill that comes with it – a hard pill to swallow. ‘Is this normal for a family our size? How can I reduce my energy usage to the absolute minimum?’, they wonder. Indeed, a great deal of consumers today are unaware of the steps they can take to minimize the amount of energy they use. To them, saving energy seems to be a luxury reserved for people who can afford to invest in solar panels, water pumps and other pricy measures. But now there is Maka, the platform that puts the energy-conscious consumer back in the driver’s seat no matter their budget.
This blog focuses on the role of the business analyst within a data migration project. In our experience, this role is often underestimated within the migration context and that is why we want to take this opportunity to highlight some best practices. We will illustrate these best practices using one of our current migration projects: the migration as part of the Atrias project.