Data Science is not IT A common mistake that organizations make when mapping out their data strategy is conflating data with the systems that track it. An effective data strategy is not about technology per se, it is about ensuring that your organization is making decisions based on information rather than on guesswork.
Technology helps to make things like data acquisition, reporting, and analysis more effective but in the same way that it makes other business functions s
One of the big ideas in education these days is "personalized learning". There are myriad ed-tech startups launching apps that support this approach and schools redesigning their classrooms to take advantage of these ideas. As with a lot of shiny new things, there are gems of innovation hidden behind the smoke and mirror buzzwords. But the key is implementation, there is no magic app that can eliminate the need for supported teachers. In fact, the focus on the technology
Organizations often struggle when coming up with their data strategy. In the end we need to be practical about what we can actually do and any effective data strategy has to keep focus on maximizing return on investment. Here are 4 specific things to consider 1. Organizational Goals 2. Data Sophistication 3. Budget/Resources 4. Readiness of Your Audience 1. Organizational Goals First let's look at the definition of strategy strat·e·gy /ˈstradəjē/ A plan of action or policy