The workforce is an essential part of an organization’s overall business potential because it ensures continuous operations, even in black-swan events. The workforce is the core of the organization and should get the attention it deserves. In challenging times, a “customer-first” mentality tends to take hold — this is not unreasonable but in focusing on satisfying customers and opportunities, business leaders too often forget that the workforce experience is essential to achieving desired results. Fulfilling this objective requires technology designed to meet these human capital management (HCM) objectives. An organization’s agility and ability to invest adequate time and resources into the workforce experience is essential to an organization’s sustainability and operational effectiveness.
Topics: Sales, Customer Experience, Human Capital Management, Office of Finance, Voice of the Customer, Continuous Planning, Business Continuity, Analytics, Business Planning, Workforce Analytics, Workforce Management, Digital Technology, Operations & Supply Chain, Robotic Process Automation, employee experience, Conversational Computing, AI and Machine Learning, collaborative computing, mobile computing, agent management, People Analytics
The workforce is the center of any organization, no matter if the workforce consists of employees, contractors or what we call gig workers. It stands to reason that a black-swan event has an immediate impact on a workforce and thus an organization’s overall business health. In challenging times, a “family-first” mentality tends to take hold — a reality that, far too often, business leaders and HR organizations underestimate. But organizational readiness is essential for sustainability and operational effectiveness.
Topics: Sales, Human Capital Management, Learning, Office of Finance, Voice of the Customer, Analytics, Digital Technology, Digital Marketing, Operations & Supply Chain, Workforce Optimization, AI and Machine Learning
Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line. One type of analysis an organization can perform using AI and ML is predictive analytics. Organizations also need to plan their operations to predict the amount of cash they will need, inventory levels and staffing requirements. Unfortunately, while planning begins with predictions, organizations can’t plan with AI and ML. Let me explain what I mean.
I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.
Ventana Research recently announced its 2020 research agenda for analytics, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes.
It’s been exciting to follow the emergence of innovative capabilities in the analytics market, but for businesses it can be challenging to stay on top of all these changes. To help, we craft our research agenda using our firm’s knowledge of technology vendors and products and our experience with and expertise on business requirements.