Consumer and mobile applications have influenced our expectations. Nearly all of us carry a smartphone, and we interact with a variety of applications on our devices. Those applications have forever influenced what we expect from computing systems. When I search the web for a gas station, I’m not searching for all gas stations. I’m searching for those stations that are near me. Not just near my regular location, but near my current location. We expect personalized interactions, not generic,...
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Topics:
Digital Technology
Those of us who have worked in or alongside sales teams have observed that many sales fundamentals have changed over the years. Yet, in many ways, they have not. One essential that has not changed is sales enablement. How do you onboard salespeople and quickly bring them up to speed? Or, how do you introduce new products and services so the sales team is conversant and knowledgeable about them? In years past, this would have happened at the head office or a regional office, with videos and...
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Topics:
Sales Engagement,
Office of Revenue
In today’s organization, the myriad of analytics and permutations of dashboards challenge workers’ ability to take contextual actions efficiently. Unfortunately, conventional wisdom for investing in analytics does not recognize the benefits of empowering the workforce to understand the situation, examine options and work together to make the best possible decision.
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Topics:
business intelligence,
Analytics,
Data,
Digital Technology,
Digital Business,
Analytics & Data,
Analytic Data Platforms,
AI and Machine Learning
Since its inception, HCM software has upended how people interact with their workplace. Paper resumes have given way to online applications. Physical time clocks have largely disappeared in favor of apps or clocks housed within a point-of-sale system. Even benefits enrollment has entered the digital age, adding tools like decision-support modeling to help enrollees determine which of the myriad offerings will better fit their specific circumstances. This digital transformation does more than...
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Topics:
Human Capital Management,
employee experience
The management of work is a focal point for every organization that has people and resources directed to accomplish the smallest to largest of tasks. But many organizations are not easily able to manage complex activities because the details of how people are assigned and complete work are not as simple as they should be. Traditional project management methods and technologies have failed to work in an enterprise manner, so new approaches have emerged to meet today’s challenges. The essence of...
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Topics:
Digital Business,
Work Management
Organizations conduct data analysis in many ways. The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions. This creates difficulties for management to provide and maintain updated information across multiple departments. Our Analytics and Data Benchmark Research shows that organizations face a variety of challenges with analytics and business intelligence. One-third of participants find it difficult to integrate...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
natural language processing,
AI and Machine Learning
Workiva offers an environmental, social and governance application that enables organizations to manage the highly distributed tasks necessary for reporting to regulators and stakeholders on ESG matters. ESG issues have grown increasingly pressing over the past few years as investors and government entities urge organizations to measure and disclose relevant metrics. I’ve already covered the broader topic as it relates to external reporting and how financial planning and analysis groups are...
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Topics:
Office of Finance,
Business Planning,
Financial Performance Management,
digital finance
For far too long, business intelligence technologies have left the rest of the exercise to the reader. Many of these tools do an excellent job providing information in an interactive way that lets organizations dive into the data and learn a lot about what has happened across all aspects of the business. More recently, many of these tools have added augmented intelligence capabilities that help explain why things happened. But rarely did any of these tools provide information about what to do...
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Topics:
Analytics,
Business Intelligence,
Digital Technology,
Analytics & Data,
AI and Machine Learning
The shift from on-premises server infrastructure to cloud-based and software-as-a-service (SaaS) models has had a profound impact on the data and analytics architecture of many organizations in recent years. More than one-half of participants (59%) in Ventana Research’s Analytics and Data Benchmark research are deploying data and analytics workloads in the cloud, and a further 30% plan to do so. Customer demand for cloud-based consumption models has also had a significant impact on the products...
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Topics:
Business Intelligence,
Cloud Computing,
Data Management,
Data,
natural language processing,
data operations,
Analytics & Data,
operational data platforms,
Analytic Data Platforms,
AI and Machine Learning