The unprecedented evolution of social media data’s influence on business can have tremendous impact on how customers are integrated into organizational goals and practices. See why more organizations than ever are using social media data to take a customer-centric approach to evolving their
Listen to this podcast to learn how four IBM clients are using advanced analytics to dynamically segment clients by their behaviors, anticipate life and financial events, foresee client attrition, identify product opportunities and deliver tailored news and alerts. Jim Marous moderates the
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
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
Applying cognitive technologies that understand, reason, learn and interact can improve the way insurers do business. Hear IBM insurance experts Christian Bieck and Noel Garry discuss how insurers that are outperforming competitors are transforming their business, based on information from the
In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big