In this highly competitive age, optimizing the potential of workers is essential. A learning management system (LMS) can increase both knowledge and engagement. Our benchmark research on next-generation learning management systems finds that adopting one can help almost half (46%) of organizations gain a competitive advantage, and more than one-third (35%) said it assists in helping customers. Expanded use of learning can engage customers, partners and others who need more information about an organization or its products and services. Thus we suggest that learning systems should be used for and made available in customer and third party communities. Doing so can enhance effective use of products and services and help reduce the volume of inbound calls to and interactions with the contact center.
Topics: Human Capital, Meridian, Learning, Learning Management Systems, L, Operational Performance Management (OPM), Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM)
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)
Technology innovation is accelerating faster than companies can keep up with. Many feel pressure to adopt new strategies that technology makes possible and find the resources required for necessary investments. In 2015 our research and analysis revealed many organizations upgrading key business applications to operate in the cloud and some enabling access to information for employees through mobile devices. Despite these steps, we find significant levels of digital disruption impacting every line of business. In our series of research agendas for 2016 we outline the areas of technology that organizations need to understand if they hope to optimize their business processes and empower their employees to handle tasks and make decisions effectively. Every industry, line of business and IT department will need to be aware of how new technology can provide opportunities to get ahead of, or at least keep up with, their competitors and focus on achieving the most effective outcomes.
Topics: Big Data, Predictive Analytics, Social Media, Human Capital, Operational Performance Management (OPM), Analytics, Business Analytics, Business Collaboration, Business Intelligence, Cloud Computing, Governance, Risk & Compliance (GRC), Location Intelligence, Operational Intelligence, Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Financial Performance Management (FPM), Information Applications (IA), Information Management (IM), Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)
Enterprise resource planning (ERP) is a software category that includes an array of business applications that includes human resources and finance. Workday is a vendor at the center of a new generation of ERP. My colleague Robert Kugel recently covered that company’s advances in finance using cloud computing to operate its platform. And I recently attended Workday’s technology analyst summit, where I got a deeper view of the technology under its applications and its efforts to perfect its processing potential. The company’s platform can support a broad range of applications, and it is advancing its efforts in analytics, collaboration and business planning. Today, however, only Workday itself is allowed to build applications on the platform, a situation that contrasts with many other ERP providers that make theirs available to third-party software developers and consultants.
This has been a dramatic year for Informatica, a major provider of data integration software. In August it was acquired and taken private by Permira funds and Canada Pension Plan Investment Board for about US$5.3 billion. This change was accompanied by shifts in its management. CEO Sohaib Abbasi became chairman and now has left, and many executives were replaced while Anil Chakravathy became CEO from being the Chief Product Officer. The new owners appear to have shifted the company’s strategic priorities to emphasize profitability with reduced headcount and return on the purchase investment. Despite these changes, during the past six months Informatica has made key product announcements that will impact its future and the future of data management.
Topics: Big Data, Data Quality, Master Data Management, MDM, Operational Performance Management (OPM), Cloud Computing, Data Integration, Data Management, Data Preparation, Governance, Risk & Compliance (GRC), Informatica, Uncategorized, Business Performance Management (BPM), Information Management (IM), Information Optimization, Risk & Compliance (GRC)
The need for businesses to process and analyze data has grown in intensity along with the volumes of data they are amassing. Our benchmark research consistently shows that preparing data is the most widespread impediment to analytic and operational efficiency. In our recent research on data and analytics in the cloud, more than half (55%) of organizations said that preparing data for analysis is a major impediment, followed by other preparatory tasks: reviewing data for quality and consistency (48%) and waiting for data and information (28%). Organizations that want to apply analytics to make more effective decisions and take prompt actions need to find ways to shorten the work that comes before it. Conventional analytics and business intelligence tools are not designed for data preparation, but new software tools can enable business users independently or in concert with IT to perform the tasks needed.
Topics: Big Data, Human Capital, Marketing, Monarch, Operational Performance Management (OPM), Business Analytics, Business Intelligence, Data Preparation, Governance, Risk & Compliance (GRC), Uncategorized, Business Performance Management (BPM), Customer Performance Management (CPM), Datawatch, Financial Performance Management (FPM), Information Management (IM), Information Optimization, Sales Performance Management (SPM), Supply Chain Performance Management (SCPM)
To help companies improve the efficiency and effectiveness of their payroll management processes, we have assembled our 2015 Value Index for Payroll Management. It evaluates vendors of payroll management software to provide a guide for selecting the right application to suit specific needs. The executive summary is available for download, and this analysis provides a snapshot of the findings. Ventana Research defines payroll management as all activities associated with paying employees correctly and efficiently. This set of processes crosses the human resources and finance functions; deployed properly it provides employees with access to their payroll information as well as improving payroll management effectiveness.