Why Small Data is the Answer to Big Data’s Problems
With the huge focus on big data over the past year, it can be seen that data itself is becoming a new type of corporate asset that represents a key basis for competition. But big data is only part of the story. What we’re finding is that small data is actually playing as important, if not a more important role, than big data. With most organisations struggling to handle the volumes of data they already have, the priority isn’t overlaying more data, but using existing data to deliver better business outcomes. Read more.
The Pillar Axiom 600 system was designed from the ground up to deliver business-critical, deterministic Quality of Service (QoS) consistent with the business value of the application and its data. It eliminates the requirement to overbuy and underutilize storage to buffer against application interference in a multi-tenancy shared storage system. This allows organizations to buy the capacity they need, scale when needed, and conserve capital in the process—all while delivering consistent performance under load. Read more. Download whitepaper »
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. Download whitepaper »
Macquarie Group Case Study: Better business planning and decision support with sophisticated financial modeling
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. Download whitepaper »