As the information age matures, data has become the most powerful resource enterprises have at their disposal. Learn how to leverage a trusted analytics foundation to achieve all your insight-driven goals.
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,
Do you find yourself increasingly having to make decisions amid uncertain conditions? The advanced capabilities offered by IBM SPSS Statistics aim to make Monte Carlo simulation a part of your risk analysis by bringing these two worlds together in a single software solution.
Spreadsheets are excellent tools as far as they go—but how far can they truly go? If you’re pushing your spreadsheet-based solutions beyond their viable limits, then they might be doing more harm than good. Discover what considerations you shouldn’t ignore when using spreadsheets for statistical
Data analytics is no longer an either/or choice. With the integration of IBM SPSS Statistics and R, you can bring together the statistical analysis and data management capabilities that have helped so many data scientists gain insight after insight from their data.
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain an deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized
IBM test data management (TDM) services are designed to satisfy the demands of enterprises trying to take advantage of test data and environment management solutions for complex IT deployments. TDM services cater to test data discovery, subset production, masking, test data refresh, automation of
Customer churn and fraudulent claims in today’s insurance industry can translate to losses for providers. Insurance organizations can stay one step ahead by deploying predictive analytics to determine future outcomes.
Meeting today’s dynamic data requirements goes beyond technology that focuses on operational capture, decision-support-oriented consumption, and data governance. Enterprise architects need to take into account a wider array of data sources and establish a performance measurement plan that tracks
Mobile computing is on the rise, and mobile document capture is the next logical step for organizations in document-intensive fields such as banking, insurance, government, healthcare and education. Mobile document capture allows employees and customers to capture documents from their point of