If we look at the focus of technology vendors for analytics and business intelligence or business applications providers deploying these capabilities in the last five years, we see that they have elevated the importance on the value of visualization and dashboards. These promotions might be understandable, but will they make business and the people using them more intelligent?
The importance of analytics for sales organizations is clear and, as I pointed out in my recent analyst perspective on the next generation of sales analytics, these capabilities optimize revenue potential. However, utilizing sales analytics requires a set of data skills that most organizations still find challenging and are thus not fully prepared to support. The efficient access and preparation of data underlies any analytics processes, which must meet demanding needs that are not always automated. Our research into next generation sales analytics has found many impediments that must be addressed and is a critical part of our expertise agenda for sales organizations.
Topics: Big Data, Sales, Machine Learning, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, digital technology, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Sales Planning and Analytics
Cloudera provides database and enabling technology for the big data market and overall for data and information management. As my colleague David Menninger has written, the big data and information management technology markets are changing rapidly and require vendors to adapt to them. Cloudera has grown significantly over the last decade and now has approximately 1,000 customers and provides support and services in countries around the world. Its product and technology strategy is to provide a unified data management platform, Cloudera Enterprise, that can meet the data engineering and science needs for a range of analytic and operational database applications. Its primary focus is its Enterprise Data Hub, which as a data lake can handle organizations’ big data and analytical needs. As David Menninger asserts, the data lake is a safe way to invest in big data. It also helps shift the focus away from the V’s (volume, velocity and variety) of big data to the A’s, which are analytics, awareness, anticipation and action.
Topics: Big Data, data science, Machine Learning, Analytics, Business Intelligence, Cloud Computing, Data Governance, Data Integration, Data Preparation, Internet of Things, Cognitive Computing, Information Optimization, digital technology, Cybersecurity
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.
Data is a commodity in business. To become useful information, data must be put into a specific business context. Without information, today’s businesses can’t function. Without the right information, available to the right people at the right time, an organization cannot make the right decisions nor take the right actions, nor compete effectively and prosper. Information must be crafted and made available to employees, customers, suppliers, partners and consumers in the forms they want it at the moments they must have it. Optimizing information in this manner is essential to business success. Yet I see organizations today focusing on investments in big data because they believe it can effortlessly bring analysts insights. That premise is incorrect.
Topics: Big Data, Analytics, Business Analytics, Cloud Computing, In-Memory Computing, Information Management, Information Applications (IA), Information Management (IM), Information Optimization, Strata+Hadoop, digital technology
Business analytics has become the highest ranked technology innovation, according to our benchmark research on business technology innovation, but a lack of trained resources and inefficient technology have hampered the best of organizations when they attempt to roll out analytics. Our benchmark research on business analytics in 2012 found that the majority of analysts in organizations spend more of their time on data-related activities than on analytic tasks, and our 2013 research on business technology innovation finds little improvement. At the same time, organizations are dissatisfied with trying to gain insight from dashboards of charts; see “The Pathetic State of Dashboards”. The worst thing wrong with business analytics today is that we are not able to read them quickly to determine what is relevant and what insights might demand action.
Topics: Big Data, Social Media, Narrative Science, Operational Performance Management (OPM), Business Analytics, Business Collaboration, Business Intelligence, CIO, Cloud Computing, Business Performance Management (BPM), Customer Performance Management (CPM), Expert Systems, Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM), digital technology
Mobile technology continues to advance weekly, with new software releases and new versions of devices. Though it has been in the headlines frequently in recent weeks, can Microsoft really change the mobile technology dynamics in the business world?
Topics: Microsoft, Google, Microsoft Windows Phone, Operational Performance Management (OPM), Business Intelligence, Cloud Computing, 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), Workforce Performance Management (WPM), digital technology
The demand for business information on mobile devices such as smartphones and tablets continues to increase, while the technology to support it has not. In our benchmark research on information applications, only 11 percent of organizations said they are very satisfied with their ability to provide such information, and their top two complaints with existing technologies are that they are too slow and not adaptable or flexible. The unique aspects of mobile technology, from the small screen size to the use of gestures for interaction, make for a complex technological problem.
Topics: Mobile, Operational Performance Management (OPM), Analytics, Business Analytics, Business Intelligence, Business Mobility, CIO, Cloud Computing, Governance, Risk & Compliance (GRC), Information Applications, Business Performance Management (BPM), Customer Performance Management (CPM), Digital Publishing, Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Roambi, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM), Workforce Performance Management (WPM), digital technology
Salesforce.com made a surprising announcement of its agreement to acquire Rypple, a software company that defines its product as a social goals application. I call this a surprise because although Salesforce has been extending its reach beyond sales and customer service to IT in providing a platform, tools and a database for building applications and storing data in the cloud, until now it has not entered directly into other lines of business. After its annual Dreamforce conference last summer, I analyzed the company’s strategy and products. Now I want to consider what this acquisition means for Salesforce and the human capital management market.
Topics: Salesforce.com, SAP, Human Capital Management, Marketing, Operational Performance Management (OPM), Business Technology, Chatter, CIO, Cloud Computing, Information Management, Oracle, Business Applications, Business Performance Management (BPM), CFO, COO, CRM, HR, Sales Performance Management (SPM), SalesCloud, Service Cloud, SFA, Supply Chain Performance Management (SCPM), Talent Management, Workforce Performance Management (WPM), digital technology