Contact centers have long collected feedback from customers, usually through short surveys. It is very common for an agent or an automated system to ask for an assessment of the interaction that just occurred, hoping to get the customer's candid, instant view of whether they were satisfied. For the most part, what's learned in those short engagements is very narrow. It can be used for a customer satisfaction snapshot, and it can be used to find out if a particular agent is running into trouble....
Read More
Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
AI,
Customer Experience Management,
Feedback,
Surveys
Today’s contact center agents find themselves handling increasingly more complex interactions due to changes in consumer demand, advances in self-service and the proliferation of digital contact channels. This added complexity requires continuous agent support for successful customer experience outcomes. Intelligent software can reduce agent workload and improve customer interactions by picking up customer cues.
Read More
Topics:
Customer Experience,
Contact Center,
AI
MicroStrategy recently held their annual user conference, MicroStrategy World 2019. This year's conference brought 2,100 customer attendees plus partners to the Phoenix Convention Center in Phoenix, AZ. The big news of the event was the introduction of MicroStrategy HyperIntelligence™, a platform tool designed to directly inject analytics into business applications.
Read More
Topics:
MicroStrategy,
embedded analytics,
Analytics,
Business Intelligence,
Collaboration,
Internet of Things,
AI
IBM's Analytics University (held in both Miami and Stockholm) brought about some large changes. Big announcements this year included a consolidation of IBM's Watson Analytics into Cognos 11.1, helping provide some clarity to their analytics offerings, along with new visualizations and better data preparation. This also includes a new conversational assistant to help generate narrative explanations of displays and interactive queries.For the full breakdown of IBM's Analytics University 2018,...
Read More
Topics:
Big Data,
Analytics,
Business Intelligence,
Data Preparation,
AI,
natural language processing
Dreamforce has become the largest enterprise software event for businesses in the United States, and it is evident why when looking at it this year. With over 170,000 business and IT professionals attending, Salesforce came to show off upcoming product announcements and innovations. This year's biggest focus was on Einstein Voice (a personalized and intelligent conversational assistant), integration with other platforms, and Salesforce Customer 360. The last of these is the start of an answer...
Read More
Topics:
Salesforce.com,
Customer Experience,
Machine Learning,
Marketing,
Voice of the Customer,
CRM,
Dreamforce,
Sales Performance Management,
SPM,
Digital Technology,
Digital Marketing,
Robotic Process Automation,
AI,
natural language processing
After more than a decade of steady development, ERP systems today are changing fundamentally, facilitated by the availability of advances such as cloud computing, advanced database architecture, collaboration, improved user-interface design, mobility, analytics and planning. This was evident when Oracle recently held its third analysts-only ERP Cloud Summit in New York to coincide with its Modern Finance Experience event. Oracle now has an increasingly robust set of business applications that...
Read More
Topics:
ERP,
Machine Learning,
Cloud Computing,
Robotic Process Automation,
Artificial intelligence,
blockchain,
AI
SAP recently held a teleconference to highlight its blockchain strategy. Lately, the major business software vendors have been calling attention to their blockchain initiatives. While the focus on this technology might seem premature to those who still equate it with cryptocurrencies, evidence is pointing to a future pace of adoption similar to the rapid take-up of the internet in the 1990s. That blockchain is useful for a wide range of business functions isn’t news – just google “blockchain...
Read More
Topics:
Machine Learning,
Office of Finance,
finance transformation,
Robotic Process Automation,
Artificial intelligence,
blockchain,
AI,
bots,
robotic finance
Robots of the physical sort are not about to take over finance and accounting but we have arrived at the age of “Robotic Finance”. I coined this term to focus on four key technologies with transformative capabilities: artificial intelligence and machine learning, robotic process automation, bots and natural language processing and blockchain distributed ledger technology. Embracing these technologies will enable any department to redefine itself as a forward-looking strategic partner to the...
Read More
Topics:
Machine Learning,
close,
closing,
Robotic Process Automation,
Artificial intelligence,
blockchain,
AI,
Accounting,
bots
The use of blockchain distributed ledgers in business processes is now a common theme in many business software vendors’ presentations. The technology has a multitude of potential uses. However, presentations about the opportunities for digital transformation always leave me wondering: How is this magic going to happen? I wonder this because the details about how data flows from point A to point B via a blockchain are critically important to blockchain utility and therefore the pace of its...
Read More
Topics:
Planning,
Predictive Analytics,
Forecast,
FP&A,
Machine Learning,
Reporting,
budget,
Budgeting,
Continuous Planning,
Analytics,
Data Management,
Cognitive Computing,
Integrated Business Planning,
AI,
forecasting,
consolidating
Ventana Research uses the term “predictive finance” to describe a forward-looking, action-oriented finance organization that places emphasis on advising its company rather than fulfilling the traditional roles of a transactions processor and reporter. Technology is driving the shift away from the traditional bean-counting role. The cumulative evolution of software advances will substantially reduce finance and accounting workloads by automating most of the mechanical, rote functions in...
Read More
Topics:
Planning,
Predictive Analytics,
Forecast,
FP&A,
Machine Learning,
Reporting,
budget,
Budgeting,
Continuous Planning,
Analytics,
Data Management,
Cognitive Computing,
Integrated Business Planning,
AI