Two key themes that emerged from Larry Ellison’s Sunday night keynote at this year’s Oracle OpenWorld were faster processing speed and cheaper storage. An underlying purpose to these themes was to assert the importance of Oracle’s strategic vertical integration of hardware and software with the acquisitions of Sun. I try to view technology keynotes like this from the perspective of a practical business user. Advancements such of these are important because enhancing the performance and cost-effectiveness of IT infrastructure can drive substantially improved business capabilities. As I’ve noted in the past, the ability to rapidly process large amounts of data provides business users with significant new capabilities in areas such as complex event processing, social media analytics and the ability to analyze unstructured or semi-structured data. In planning, it has the potential to change how companies perform a wide range of analytics-driven processes, especially in areas such as planning, budgeting and forecasting. It makes it feasible to more fully explore the impact of different courses of action, because rather than having to wait hours or days for answers to questions that start with “What happens if we…” the answers come back in seconds. Review and planning sessions can focus more on what’s next rather than rehashing history.
Topics: Big Data, Customer Experience, executive, Business Analytics, Data Management, In-Memory Computing, Information Management, Business Performance Management (BPM), Business Process Management, Data, Financial Performance Management (FPM), IT Performance Management (ITPM), FPM
My colleague Mark Smith and I recently chatted with executives of Tidemark, a company in the early stages of providing business analytics for decision-makers. It has a roster of experienced executive talent and solid financial backing. There’s a strategic link with Workday that reflects a common background at the operational and investor levels. As it gets rolling, Tidemark is targeting large and very companies as customers for its cloud-based system for analyzing data. It can automate alerts and enhance operating visibility, collaboratively assess the potential impacts of decisions and support the process of implementing those decisions.
Topics: Big Data, Data Warehousing, Master Data Management, Performance Management, Planning, Predictive Analytics, GRC, Operational Performance Management (OPM), Budgeting, Risk Analytics, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Business Mobility, Cloud Computing, Data Governance, Data Integration, In-Memory Computing, Information Management, Mobility, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Risk, Sales Performance Management (SPM), Workday, Workforce Performance Management (WPM), Financial Performance Management, Integrated Business Planning, Strata+Hadoop