Platforms such as Hadoop, an open-source programming framework that facilitates the processing and storage of extremely large data sets, as well as technology and services from the likes of Amazon Web Services, Cloudera, Domo, Datameer, Google, IBM, Microsoft and SAS, have helped to advance the DDDM trend, as have data visualization tools such as Sisense, Tibco's Spotfire, Tableau and VizaData.
Buehler pointed out that all DDDM efforts are dependent on the quality and limitations of the data used.
DDDM models are also vulnerable to poor design, he said, such as overfitting, spurious correlations and the identification of inappropriate criteria.
In order to limit the risks and challenges associated with DDDM efforts, it is necessary to have a clear understanding of what you are trying to accomplish.
Perhaps not surprisingly, evidence-based DDDM has gained a foothold in public health in general and disease prevention in particular, and what has been learned is relevant to preventing substance-related harm.
The SPF SIG's more ambitious goal of achieving population-level reductions in substance-related harm has brought DDDM into sharper focus on a national scale.
That said, DDDM for state-level prevention of substance-related harm did not begin with the SPF SIG.
While both Piano and Chicago are pushing to advance from Stage 3 on the DDDM continuum to Stage 4--from gathering data to extracting meaning from it--Plano already has its business analysis software in place and a willing group of participants to work with the tools.
JIM HIRSCH, A SUPERINTENDENT with the Plano Independent School District (TX), who is leading the district's journey to data-driven decision-making, says the key to a successful DDDM effort is starting with the questions, not the software: "Identify the most critical questions you need to answer about your students to help improve their achievement, then find a system and a process that will allow you to answer them.