This podcast discusses how embracing the concept of the new killer apps involves people and roles in an organization that need to coalesce around a rational set of business goals in working with data. New teams of people are forming that are data hungry.
Just as a cosmetics company is focused on the foundation for beauty, many companies regardless of industry are looking to specialize in high-quality presentation of product to consumers. See how one global cosmetics organization took a master data management approach that offers expertise,
Check out the ebook, Improving Financial Performance with Predictive Analytics, from Ventana Research that explores the many ways businesses can apply predictive analytics and data science techniques to grow revenue, shrink costs and improve margins.
Recognizing the level of integration and governance provided and how it needs to be tailored to suit various stakeholders inside and outside of the organization is vital. Some need the ability to explore raw data; others wish to take analytical discovery into their own hands. Still others may
Large companies that want to prevent being outflanked by more agile, smaller firms can adopt a new organizational and strategic lifestyle. Listen to a general discussion of Chunka Mui’s book, The New Killer Apps: How Large Companies Can Out-Innovate Start-Ups (Cornerloft Press, December 2013) in
In his book, The New Killer Apps, Chunka Mui, innovation and business strategy consultant, asserts that the conventional wisdom about start-ups being destined to out-innovate big, established businesses isn't true. Read this excerpt to learn how large companies can disrupt too by thinking big,
Data models for developing data warehouses need to evolve for managing and defining data lakes. This first installment of a blog series on charting the data lake introduces the potential role of data models in data lake environments and how they need to take an active role in defining and managing
Data transformation doesn’t have to mean moving data away from its source. Rather, modern approaches to data transformation offer a range of advantages that can help enhance performance while heightening access to data.