This session will include a moderated Q&A featuring questions from the live audience.
Today, more organizations than ever before are expanding their data and analytics strategy to larger audiences across the enterprise. Fueled by market dynamics as well as the move to modernize and utilize advanced analytics, these programs are democratizing data-driven decision making and aiming to inform decisions at every level of the business and across every functional area. This trend is reflected in TDWI research, which shows that self-service ranks in the top three of organizational priorities, with more advanced analytics (such as machine learning) not far behind.
To drive this expansion, businesses want to improve their overall data literacy. Data literacy involves awareness and recognition of the value of data and how well people understand and interact with data and analytics, as well as their ability to communicate data-driven insights to impact behavior and achieve business goals. It includes understanding the business, framing analytics, understanding data elements, critical interpretation, and communication skills. Data literacy is not only for business analysts; this is a critical skill for individuals across a data-driven organization, although the level of literacy may vary based on role.
Join TDWI Research VP, Fern Halper, as she discusses TDWI’s Data Literacy Maturity Model and Assessment. She will discuss trends in data literacy, the assessment framework, and best practices for achieving success with data literacy. Do not miss this session if you completed the Data Literacy Maturity Model Assessment.