I have been following advances in sales analytics since the 1990s. Over the last five years, however, I have seen evolution, not innovation. In most cases the information that analytics provides is too complicated and not contextualized enough for sales people who are not analytics experts to understand, let alone take action on. As I pointed out in my 2017 research agenda on sales, analytics is essential for planning that improves the impacts of sales efforts and meets the goals of the organization.
Topics: Big Data, Sales, Office of Finance, Analytics, Cloud Computing, Collaboration, Product Information Management, Sales Performance Management, Digital Commerce, Sales and Operations Planning, Machine Learning and Cognitive Computing, Sales Enablement and Execution, Machine Learning Digital Technology, 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
Organizations in all industries face various difficulties in managing product information. The most serious is providing complete, engaging information to consumers and customers on the internet. Newly developed products, mergers and acquisitions, changes to pricing and promotions in online commerce spur business growth, but these factors also increase the amount and complexity of product-related data and content. In addition the digital economy offers a new generation of services that are sold by subscription and packaged in various options and price points. As well, global diversification of suppliers, customers and business partners forces organizations to manage data quality and consistency in multiple locations, currencies and languages.
Topics: Big Data, Operational Performance Management (OPM), PIM, Product Information Management, Sales, Market, Business Analytics, Cloud Computing, Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Management (IM), Information Optimization, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)
Organizations are facing a digital transformation, as I have written, that is rapidly changing the applications and services that businesses use to operate and deliver information. This new digital generation addresses the expectations of consumers and business partners for information and service in real time. One example of it is enterprise messaging. Recently I wrote about the shift to this technology and the challenges it poses for organizations that lack sufficient skills. However, new messaging appliances and virtualized messaging can carry some of this burden. By interconnecting them, organizations can be more confident in their ability to support the range of information and applications that operate in real time, not only for people but on devices and machines.
Topics: Big Data, Social Media, Enterprise messaging, Internet of Things, IoT, mid, Operational Performance Management (OPM), Business Analytics, Business Collaboration, Cloud Computing, Governance, Risk & Compliance (GRC), Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)
Enterprise messaging is the technology backbone of communications for applications and systems within and between organizations. Both its importance and its complexity are growing as organizations increasingly have to provide real-time responses to business customers and consumers as well as their own business professionals who support them and their internal supply chains. The variety of use cases for enterprise messaging also is growing rapidly, expanding to the Internet of Things (IoT) market of sensors and devices including wearable technology; to new generations of applications and services for consumers and customers; to cloud computing and the shift to platform or infrastructure as a service (PaaS or IaaS); and to real-time big data and analytics. All of these innovations will enable these types of transformation to digital business that is impacting organizations around the world.
Topics: Big Data, Social Media, Enterprise messaging, Internet of Things, IoT, mid, Operational Performance Management (OPM), Cloud Computing, Governance, Risk & Compliance (GRC), Operational Intelligence, Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Information Management (IM), Information Optimization, Supply Chain Performance Management (SCPM)
I hope this title captures your attention; I’m trying to make a point about the chaos going on in managing and operating marketing. What marketing needs in 2016 is to manage and optimize its efforts in a more unified manner. This perspective kicks off a new series on the challenges for marketing to automate or execute tasks and manage toward maximum performance. We all know that the craft of marketing is in need of significant transformation, from the CMO throughout the entire marketing organization and all the way out to the experience of consumers and customers. But this may be a fanciful mission, as applications and technology does not really automate marketing let alone manage it. Most marketing automation products are specialized applications that are not used by marketing management, let alone front-line marketing managers; they are for specialized needs in demand generation or digital marketing that personalizes inbound and outbound interactions with contacts for the purpose of advancing dialogue and creating relationships. Marketing automation, like its cousin sales force automation, has been a placeholder category that describes only a narrow slice of marketing, and the term has been co-opted by the industry for its own purposes. Though some observers predict that CMOs will outspend CIOs and other leaders of the business in technology investments, I have debunked this ludicrous idea; even if it were true, that would not make marketing departments much more efficient in their management and operations. To counterbalance the silliness of the marketing automation dialogue, I plan to bring you a series on key areas for investment to start the conversation. Evaluating them should help Marketing demonstrate its commitment to promoting effectively its organization and its products and services. Here is an overview of the many issues in the landscape.
Topics: Big Data, Predictive Analytics, Social Media, Operational Performance Management (OPM), Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Location Intelligence, Operational Intelligence, Uncategorized, Business Performance Management (BPM), CMO, Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Optimization, Sales Performance Management (SPM)
For several years I have been advocating that sales organizations adapt their processes and applications to optimize both sales performance and the customer experience. For details see my research agenda for last year. However, it appears that not many sales organizations have responded to this challenge; many can barely maintain their quarterly sales forecasts and monthly pipeline, track progress toward quotas and ensure that sales commissions are processed promptly and paid accurately. A great many are still using spreadsheets for these critical activities. Yet our benchmark research finds that more than half (61%) who use them for commissions said this makes the effort more difficult. Elsewhere, I have seen B2B sales organizations continue down the old path of annoying prospects with direct cold calling and email instead of nurturing real relationships. For B2C sales, the digital age of search engine optimization (SEO) and pay-per-click (PPC) has begun to haunt prospects by inserting ads in our personal social media channels. My research suggests that these practices are not due to bad intentions but to force of habit and lack of desire, time and resources to develop a modern strategy and plan. Most are just managing the basics of their sales processes and relying on sales force automation (SFA) systems, reporting and dashboards, which will only produce more of the same, less than optimal results.
Topics: Big Data, Predictive Analytics, Operational Performance Management (OPM), Business Analytics, Business Collaboration, Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Sales, SFA, SPM, Sales Performance Management, Sal
At the 2015 technology analyst summit in Austin, Texas, analytics and business intelligence software vendor Qlik discussed recent market and product developments and explained its roadmap and strategy for 2016. Discussion topics included its Qlik Analytics Platform and QlikView 12.0, Qlik Sense and Qlik DataMarket, applications built on the platform but also how it is expanding its analytics experience for business.
Topics: Big Data, Business Analytics, Business Intelligence, Governance, Risk & Compliance (GRC), Operational Intelligence, Uncategorized, Business Performance Management (BPM), Information Management (IM), Information Optimization
Businesses and their human resource organizations feel pressure to maximize the value of their human capital in today’s intensely competitive world. Many have made or considered investments in new applications that better exploit information to efficiently recruit, engage and retain the best talent. Advanced applications not only advance these processes but also help management assess the performance of the workforce and compensate individuals fairly so that they advance their careers and find the level of employee satisfaction in the organization. A year ago I outlined the priorities in human capital management (HCM). During the past year our research found a significant number of companies lacking a unified HCM strategy that includes processes and the applications to support it. As others advance, HR organizations that are not equipped with such skills, resources and tools risk falling behind in human capital management as it contributes to business success.
Topics: Big Data, Predictive Analytics, HCM, HR, HRMS, Workforce Management, Learning Mana, Human Capital, Business Analytics, Business Collaboration, Cloud Computing, Governance, Risk & Compliance (GRC), Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Management (IM)