IBM Planning Analytics incorporates seven key performance management capabilities in a single solution: 1. A cloud-born planning and analytics workspace 2. Access to internal and external data through automated data integration 3. Business-led design for planning, analysis and scorecarding 4. Solutions catalog of IBM Performance Blueprints to accelerate adoption and ROI 5. Predictive analytics powered by IBM Watson Analytics 6. Integral use of the Microsoft Excel interface to speed adoption and leverage existing skills 7. Production reporting with reliable business intelligence applications
Let’s look at each of these seven capabilities individually.
To thrive in volatile times, financial services companies need flexibility in their business planning. Being tied to a static annual budget limits flexibility, but more dynamic approaches can be difficult to implement. Macquarie built an enterprise-wide platform for business planning, accelerating its finance processes and providing new capabilities such as monthly rolling forecasts and scenario modeling.
The benefits include budgeting cycles have been cut by 10 weeks. Scenarios can be modeled up to a 60-month horizon. Finance teams have seen a 40 percent shift from process-related work to more valuable analytical work.
The Chickasaw Nation Division of Commerce uses advanced predictive analysis and complex statistical modeling to steer its growing operations to success, making decisions based on fact instead of intuition. In addition to more accurate financial planning, including revenue forecasts and cash flow analysis, the business analytics solution allows managers throughout the organization to track their performance in near–real time and apply valuable insights to day–to–day decisions.
This report draws on input from the 5,247 C-suite executives (CxOs) who participated in our latest C-suite Study – the eighteenth in the ongoing series of CxO studies conducted by the IBM Institute for Business Value. We now have data from more than 28,000 interviews stretching back to 2003.
Here, we focus on the perspectives of Chief Financial Officers (CFOs).
When Bega Cheese acquired Tatura Milk Industries and became an ASXlisted company, new management and statutory reporting requirements created a need to improve its group-level analytics capabilities. Bega’s senior executives launched an analytics initiative that uses IBM technologies to automatically generate detailed financial information, including a monthly interactive dashboard for its board members as well as statutory reports for the ASX. The benefits give board members and the executive anytime, anywhere mobile access to insight. Saves one day per month on board reporting. Saves six days per year on ASX reporting. Improves information quality by harnessing robust data sources.
IBM Planning Analytics is a fast, easy, flexible and complete planning and analytics cloud solution. It helps Finance organisations drive greater process efficiency and deliver the foresight they need to steer business performance. This solution not only automates manual tasks, but takes you beyond automation by providing self-service analytics that can help you uncover new insights directly from your data. It speeds decision making and improves decision quality.
ANU saw opportunities to improve its financial and operational management in a range of key areas such as student retention – but to achieve these goals, it needed to gain greater insight into its data. ANU decided to reboot its analytics strategy, building new planning, reporting and modelling capabilities based on a combination of IBM software, a skilled in-house analytics team, and expert partners. ANU has already accelerated its budget process by two months, and is now developing analytics tools that will help predict student attrition, optimise research management, and improve course design.
There is broad industry agreement that software-defined storage (SDS) represents an important, promising next step toward helping organisations address the myriad of storage and data challenges they face today.
It is ironic that software-defined storage lacks an agreed-upon definition. Typically, though, after IT professionals start delving into what SDS can do for their own organisations, it becomes hard to find anyone who is not intrigued. Naturally, the degree of interest, the expected deployment approaches, and the extent of the benefits anticipated do vary. But a consensus exists that value is to be had from this new approach.
Software-defined storage (SDS) has the potential to bring value to end-users, but the term itself represents not one solution, but many different approaches. The value to be derived depends on matching specific user needs to the appropriate implementation.
Forrester Consulting conducted a survey to reveal what types of challenges enterprise hardware and operating systems are facing with the increasingly demanding workloads from applications and data. The increasing demands for performance, stability and reliability mean IT managers must plan and articulate a clear path to a more robust, performance oriented architecture. Is this the end of the “throwaway” server strategy?