Cloud and Software as a Service (SaaS) can make a huge impact on a business. Unfortunately, most start the evaluation of SaaS from an IT perspective and traditional data center advantages (i.e. on-premises costs, staffing and savings). While savings are important, cloud is about agility and speed. For these reasons, line-of-business (LOB) leaders have been more interested in SaaS solutions. Learn how Cognos Business Intelligence on Cloud and IBM dashdb make it simple to get started with collaboration, reporting and analytics.
Let’s look at just one scenario that shows how these key capabilities can all come together to drive value. Key to this entire scenario is the birsted dashboards that are served up to the executive team thru BI The agility to explore a hypothesis – that churn vs pipeline is the issue is made possible by Watson Analytics – which uniquely identifies the key drivers of churn enabling the creation of a predictive model that can be operationalized directly into a business process at the point of impact. The net result is a persistent business impact – churn down, satisfaction and revenue up With a closed loop that brings this back into the enterprise BI system to track this metrics on an ongoing basis the organization has made yet another change to their business processes. The net result is value to the business Using a traditional data discovery tool would only enable a subset of the step conducted by our market expert.
IBM sees the world becoming increasingly analytics centered. What is the point of having an abundance of data in all formats from all different sources if we can’t make sense of it and use it to make better decisions and choices? In IBM’s analytics centered view of the world a few key characteristics prevail Intelligence – our analytics systems help guide users to the right answers – from helping the user ask the right questions of the data down to recommending the best way to present the insights – built in smarts help with user adoption and extract value from analytics more quickly Agility – analytics is no longer the domain of the few but the many, analytic systems need to easily scale to embrace users across all business functions and enable them to explore ideas, test hypothesis and succeed and fail quickly and independently Mobility –people want to do analytics anywhere anytime with a unified experience across all devices Trusted– people need to have confidence in both the data and the insights used to make decisions, data lineage, security and data quality remain paramount for running the business Connected – in an analytics driven culture we connect people, ideas and data – collaborative decision making is proven to yield better results, people build on each others ideas and help test hypotheses and connecting different types of data has proven to yield new insights Making analytics key to the business strategy and following an analytics approach that incorporates these values enables organizations to outperform their peers in how they RUN, GROW and ultimately TRANSFORM their business by making analytics integral to their business processes