IBM Vision 2016 continues a strong tradition of inspirational and innovative presentations and discussions that shape the transformation of professions and organizations in ways that enable outthinking challenges that lie ahead. Get a unique perspective on this event from Doug Barton, director,
Organizations of all sizes are looking for ways to make innovation a central part of their business approach. In this episode of the Finance in Focus podcast series our guests—futurist and award-winning author Lisa Bodell, and IBM thought leader Doug Barton—provide practical insights into how
Business professionals need answers to critical questions that bolster the accuracy of predictive forecasting. And forecasting is a vital approach for a number of business measures including product demand, revenue, sales and more. Discover why predictive forecasting is essential for any line of
Graph database technology powered by open source initiatives is helping fraud detection units catch intruders in the act of breaching data security. Tune in for an enlightening discussion of how modern approaches to analytics are bringing descriptive and predictive analytics together to help stop
See how Hershey’s Brazil implemented IBM Cognos TM1 as the basis of an enterprise planning solution enabling enhanced analysis of sales and customer data to identify key value drivers and increase profit margins. And, get the full, inside story from The Hershey Company at IBM Vision 2016.
Are you ready to leave spreadsheets behind and step into a world in which cognitive systems help drive organizational finance? Join finance leaders as part of the IBM Outthink tour to discover how modern technology is helping chief financial officers reimagine financial reporting.
Financial risk mitigation requires the integration of high quality risk data, which is often held in multiple locations. Big data storage solutions and powerful analytical tools can make financial risk mitigation a breeze.
Financial forecasting takes time, but it is an integral part of the decision-making process in an organization. Financial teams should use analytics to alleviate some of the tedious work in forecasting and present more options to executive teams, allowing for better business decisions.
Capital requirements for banks and financial services organizations are increasing, and it is vital to effectively deploy that capital to ensure appropriate returns are achieved. Measuring returns on capital on a risk-adjusted basis is necessary. Risk-adjusted KPIs and financial data analytics are
In this roundtable podcast, IBM’s Tony Levy talks candidly with senior financial analysts from four companies to learn what challenges led these IBM customers to adopt performance management solutions. During their conversation, you’ll learn about the successes that these companies have already
Don’t let outmoded practices and irrelevant processes hold back your organization. Instead, discover what practices author and analyst David Parmenter believes finance teams can implement to heighten their efficiency and effectiveness.
Are you feeling the pain of the 2016 Solvency II mandatory risk reporting requirement? Many European insurers are struggling to meet the financial reporting and Extensible Business Reporting Language (XBRL) reporting requirements of the new Solvency II mandate. And they can find relief from IBM
As of 2016, Solvency II requires mandatory risk reporting—but many European insurers aren’t ready to handle the massive amounts of data they must submit to comply. However, a new reporting tool gives insurers the confidence to meet this mandate while saving valuable time and IT resources.
The financial services industry is extremely competitive. Strategic financial planning is key to survival and long-term success. A robust approach to organizational analytics helps businesses uncover opportunities for increased automation and efficiency.
What happens when you combine training, best practices, success sharing, mentoring, inspiration and a rock concert? You get an incredible immersive data science experience that benefits and thrills both new and experienced data scientists.