We now are well beyond the year depicted in 2001: A Space Odyssey, a cinematic perspective on the future of artificial intelligence in which HAL 9000, a computer, is able to simulate human behavior and control machines. Anyone reviewing the past two years of marketing around AI in the business technology industry can be forgiven for believing that we have arrived at the futuristic state Stanley Kubrick imagined. We have not.
Topics: Big Data, Data Science, Mobile, Customer Analytics, Customer Engagement, Customer Experience, Machine Learning, Mobile Technology, Wearable Computing, business intelligence, Analytics, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Digital Technology, Machine Learning and Cognitive Computing, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business
Advancing the potential of any business requires continuous improvement in the processes and technology that support it. Many companies have embraced attempts at a digital transformation, and it’s become a goal to which organizational resources and budgets have been dedicated around the globe.
Topics: Big Data, Data Science, Mobile, Sales, Customer Analytics, Customer Engagement, Customer Experience, Human Capital Management, Machine Learning, Marketing, Marketing Performance Management, Mobile Technology, Office of Finance, Wearable Computing, Analytics, Business Intelligence, Cloud Computing, Collaboration, Customer Service, Data Governance, Data Integration, Data Preparation, Internet of Things, Contact Center, Information Optimization, Product Information Management, Digital Technology, Digital Marketing, Digital Commerce, Operations & Supply Chain, Machine Learning and Cognitive Computing, Pricing and Promotion Management, Cybersecurity, Billing and Recurring Revenue, Workforce Optimization, collaboration for business
Our firm regularly explores the impacts of new technologies on business. Analytics is foremost among recently emerging technologies, which our benchmark research consistently confirms. In our research on next-generation sales analytics, fourth-fifths (82%) of participating organizations cited analytics as the most important technology trend for sales; however, several other technologies also are adding power and flexibility to the use of sales analytics.
Topics: Big Data, Sales, Mobile Technology, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, Sales Planning and Analytics
I am happy to provide my personal perspective on the potential of sales organizations, processes and technology to supercharge business activity in 2017. The sales processes of organizations – whether they involve digital commerce or direct or indirect physical selling – should be part of continuous optimization efforts to reach maximum results. To do this, the people leading and running sales processes must be able to use technology that supports their responsibilities and analyzes the crucial information coming into the business. For almost 15 years, we have advocated for sales applications and tools that are necessary to optimize sales effectiveness and improve the outcomes of their sales efforts. The available portfolio is much larger than sales force automation (SFA) and involves more than the continued use of CRM, which has clear limits in its ability to manage customer relationships. The applications on offer include many facets of sales: coaching, compensation management, contract management, configure price quote (CPQ), forecasting, quota and territory management, planning and optimization, pricing and revenue optimization, and target or market intelligence. New applications designed for sales also enable digital effectiveness that can transform organizations. Let me provide my perspective on six topics that are shaping the way sales can and should operate in 2017, and which are part of our sales research agenda for the year.
Topics: Big Data, Sales, Machine Learning, Mobile Technology, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Technology, Digital Commerce, Operations & Supply Chain, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution
Today’s rapid changes in technology have left many companies behind in the digital transformation that is shaping the future of marketing, sales, commerce and client engagement. At Ventana Research we have seen this change coming, having been close observers and analysts of technological shifts for almost 15 years, providing continuous research and guidance to the technology industry. Now the leading edge is the digital point of engagement with customers through websites and social media. Earlier this year I wrote about mastering marketing mayhem in a meaningful, meticulous manner explaining how organizations can adapt to the new digital reality. Well, we are taking our own advice. Ventana Research spent the first half of 2016 reflecting on lessons learned and best practices from our research and advisory efforts. The result is our new community and website, www.ventanaresearch.com that we have announced and is available for everyone on the Internet. With it we strive to set an example of simplicity in engaging an audience in need of insights and education on technology applied to business.
Topics: Mobile, Customer Experience, Marketing, Marketing Performance Management, Mobile Technology, Cloud Computing, Digital Technology
This year presents much opportunity for organizations to use a new generation of technology to compete better, be more efficient in their business operations and engage their workforces to their full potential. We have identified and begun to track the following next-generation technologies: analytics, big data, collaboration, cloud computing, mobile technology and social media, and in 2014 we added wearable computing to the list. In 2015 we will intensify our focus on all of them specifically in our research agenda and as part of our line of business research agendas.
Topics: Big Data, Social Media, Governance, Mobile Technology, Operational Performance Management (OPM), Wearable Computing, Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Collaboration, Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Risk & Compliance (GRC), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Technology Innovation, Workforce Performance Management (WPM)
At this year’s annual SAP user conference, SAPPHIRE, the technology giant showed advances in its cloud and in-memory computing efforts. It has completed the migration of its conventional application suite and portfolio of tools to operate on SAP HANA, its in-memory computing platform, and made improvements in its cloud computing environment, SAP HANA Enterprise Cloud. The last time I analyzed SAP HANA was when it won our firm’s 2012 Overall IT Technology Innovation Award. Now HANA has been transitioned from just a database technology into a broad platform. SAP wisely consolidated its efforts previously known as SAP NetWeaver into SAP HANA. This resolves some confusion regarding HANA and NetWeaver in the cloud, which I assessed. The recently announced SAP HANA Platform now provides the enterprise class of HANA implementation in the cloud. It comes with a trial edition of the data and visual discovery technology now called SAP Lumira, whose price has been reduced to encourage adoption (and which I discuss more below). The use of in-memory databases for big data is accelerating: According to our technology innovation research, 22 percent of organizations are planning to use this technology over the next two years, and through 2015 it will have a higher growth rate than other approaches.
Topics: Big Data, Predictive Analytics, SAP, Social Media, Teradata, Mobile Technology, Operational Performance Management (OPM), Business Analytics, Business Collaboration, Business Intelligence, CIO, Cloud Computing, Governance, Risk & Compliance (GRC), HP, Business Performance Management (BPM), CFO, CMO, Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), SAP EPM, SAP HANA, SAP Lumira, SAPPHIRE, Supply Chain Performance Management (SCPM), Tagetik, Workforce Performance Management (WPM)
Organizations succeed through continuous planning to achieve high levels of performance. For most organizations planning is not an easy process to conduct. Planning software is typically designed for only a few people in the process, such as analysts, or organizations might use spreadsheets, which are not designed for business planning across an organization. Most technologies only allow you to examine the past and not plan for the future. For decades organizations have tried to focus planning on driving better results through higher participation, but they have usually failed, as technology has not advanced enough to support this business need.
Topics: Big Data, Mobile Technology, Operational Performance Management (OPM), Operations, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Cloudera, Governance, Risk & Compliance (GRC), Business Performance Management (BPM), Business Planning, CFO, Customer Performance Management (CPM), finance, Financial Performance Management (FPM), Information Applications (IA), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Tidemark, Workday, Workforce Performance Management (WPM)
Cloud computing has given business a new way to improve the effectiveness of business processes and ultimately the outcomes of their efforts. In the last five years, business across marketing, customer service, sales, human resources, finance and other areas have embraced the practice of renting access to the applications and technology they need when they need them. Organizations’ use of operational expense budgets helps them get what they need and avoid IT politics or standards that impeded their agility.
Topics: Big Data, Social Media, Mobile Technology, Operational Performance Management (OPM), Business Analytics, Business Collaboration, CIO, Cloud Computing, Business Applications, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM)
For almost two decades, Vitria has been harvesting data across networks and systems and using events to drive operational intelligence using the science of complex event processing (CEP). The company won the 2012 Ventana Research Technology Innovation Award in the category of Operational Intelligence for KPI Builder, and in past years its customer TXU Energy won our Leadership Award. Last year my colleague Richard Snow assessed how Vitria uses big data from sources inside and outside the enterprise to enable timely action across the organization. Vitria can parse big data in motion across the network through its correlation, workflow and analytic architecture and compare it with historical data to provide insights for those responsible for taking action.
Topics: Big Data, Social Media, Mobile Technology, Operational Performance Management (OPM), Vitria, Business Analytics, Business Intelligence, Cloud Computing, Complex Event Processing, Governance, Risk & Compliance (GRC), Location Intelligence, Operational Intelligence, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), IT Performance Management (ITPM), Sales Performance Management (SPM)
