Vendavo recently held its annual Profit Summit, a combination of a user group conference and a forum for covering evolving trends and techniques in business-to-business (B2B) pricing. Especially in emerging categories like pricing and revenue management, this sort of event provides an opportunity to assess the state of the market and the maturity of the applications. As I’ve noted, adoption of price and revenue management software has been slow in the B2B segment of commerce due to multiple obstacles. The challenges include change management, as well as data and process issues.
Topics: Big Data, Sales, Office of Finance, Analytics, Cloud Computing, Sales Performance Management, Price and Revenue Management, Digital Commerce, Pricing and Promotion Management, Sales Enablement and Execution, Sales Planning and Analytics
Oracle recently held its second ERP Cloud Summit with industry analysts. The all-day event wasn’t just about ERP. The company covered a range of its business applications, including financial performance management as well as its Adaptive Intelligent Applications. And it wasn’t just about the cloud. After more than a decade of steady developments, ERP systems have begun to change fundamentally, facilitated by the growing availability of new technologies including cloud computing, advanced database architecture, collaboration, user interface design, mobility, analytics and planning. Here are my key takeaways from the event:
Topics: Big Data, data science, Mobile, Customer Experience, Human Capital Management, Machine Learning, Office of Finance, Analytics, Data Integration, Internet of Things, Cognitive Computing, HRMS, Financial Performance Management, Mobile Marketing Digital Commerce, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, ERP and Continuous Accounting
Business process reengineering was a consulting fashion in the early 1990s that spurred many companies to purchase their first ERP systems. BPR proposes a fundamental redesign of core business processes to achieve substantial improvements in market and customer responsiveness, productivity, cycle times and quality. ERP systems support business process reengineering by guiding the step-by-step execution of the redesigned process to ensure that it is performed consistently. They also automate the handoffs between individuals and departments to accelerate completion of that process.
Topics: Big Data, data science, Mobile, Customer Analytics, Customer Experience, Machine Learning, Office of Finance, Wearable Computing, Continuous Planning, business intelligence, Analytics, Cloud Computing, Data Integration, Internet of Things, Financial Performance Management, digital technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Enterprise Resource Planning, Machine Learning and Cognitive Computing, ERP and Continuous Accounting, Sales Planning and Analytics