We’re living in a world of data. How data analysis is presented in today’s business digital world is no longer just about data stats. It’s about reeling in and shaping that mass of messy data into visually encapsulated forms for quick absorption and understanding. Meaningful data is extracted in as many ways as needed and represented dynamically across multiple visually-centric media platforms.
A NEW NAME.
A NEW APPROACH TO DATA.
So it is no wonder that business quantitative analysts are transforming into business data scientists. Global industry leaders are looking for data scientists that have both a solid foundation in math, statistics, probability, and computer science—and certain habits of mind. The best fit for today’s business dynamics are those with a feel for business issues and empathy for customers. Businesses then build on all that with on-the-job training and the latest technology tools for their industry. Some organizations additionally have launched their own data science and big data analytics training and certification programs.
Underlying this game-changing shift in data management and analysis is the behavioral aspect of this new breed of data scientists. For one thing, data scientists don’t do well on a short leash. They prefer to work in environments that allow them the freedom to experiment and explore possibilities, and to seek close relationships with the rest of the business. They thrive on developing business insights for their company’s customers and clients and get a rush on reporting meaningfully-rich data for industry and economic trending, social design, marketing campaigns, and sales strategies.
This new breed of data scientists wants to be front-and-center “on the bridge”—akin to Star Trek’s starship captain Kirk relying heavily on data supplied by Mr. Spock. Data scientists want to be in the thick of a developing situation, with real-time awareness of the evolving set of choices it presents.
Data scientists clearly understand that executives need more than simple reports. However, they know that “simplification of data” is not “small math.” It's SMART DATA.
A CONVERSATION WITH DATA.
Vendors of big data technologies are also working to make them easier to use. Business intelligence services are offered and supported with tools such as data dashboards that help make discoveries in the world of big data. Companies are drowning in their own data. Unfortunately, information most critical to their business resides in forms other than rows and columns of numbers and a “mashup” of several analytical tools. Cloud computing and data visualization are two of the most important breakthroughs in business intelligence.
An extension of these technologies in the data digital realm, data dashboards help bring structure to large quantities of formless data and make analysis possible. Data scientists use data dashboards to select and visualize rich data sets. In a competitive landscape where challenges keep changing and data never stop flowing, data dashboards help decision makers shift from ad hoc analysis to an ongoing conversation with data.