Many of us can recall the excitement generated by the first Applicant Tracking Systems or ATS’s hitting the market in the late 1990s and early 2000s. After all, activities related to sourcing, screening, selecting and offering jobs to candidates was perennially a very manually intensive endeavor that also produced many false positives (unsuccessful hires) as well as false negatives (potentially great hires that were never brought into the recruiting process). The first wave of ATS’s proved to...
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Topics:
Human Capital Management,
Recruiting,
HR,
Talent Management,
Talent Acquisition
Organizations have become more agile and responsive, in part, as a result of being more agile with their information technology. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications more quickly. DataOps is enabling organizations to be more agile in their data processes. As organizations are embracing artificial intelligence (AI) and machine learning (ML), they are recognizing the need to adopt MLOps. The same desire for agility...
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Topics:
business intelligence,
Analytics,
Data Governance,
Data,
Digital Technology,
data operations,
data platforms
The emergence of the Chief Revenue Officer (CRO) has mirrored the adoption of the subscription model and the development of multiple selling and buying channels over and above the traditional direct sales model, referred to as Revenue Management. Supporting the traditional sales team and management was the sales operations team with responsibilities around incentive compensation, territory and quota planning, sales metrics and reporting and sales forecasting as well as sales engagement and...
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Topics:
Sales,
Customer Experience,
Analytics,
Sales Performance Management,
Digital Commerce,
Subscription Management,
partner management,
Revenue Management,
Sales Engagement
The pandemic has had many profound impacts on organizations and their workforces, particularly the need to manage workers differently. Fewer face-to-face interactions make it difficult to “read” employee sentiments and reactions, even with the assistance of artificial intelligence. Employers are faced with the challenge of managing engagement more closely given unprecedented levels of change in policies and corresponding practices.
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Topics:
Human Capital Management,
Learning Management,
Workforce Management,
Total Compensation Management,
employee experience,
candidate engagement,
Continuous Payroll
Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management. The platform enables personnel to work with relational databases, Apache Hadoop, Spark and NoSQL databases for cloud or on-premises jobs. Talend data integration software offers an open and scalable architecture and can be integrated with multiple data warehouses, systems and applications to provide a...
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Topics:
Analytics,
Business Intelligence,
Collaboration,
Data Governance,
Data Preparation,
Information Management,
Data,
Digital Technology,
data lakes,
AI and Machine Learning
Traditionally, price management and optimization have been contained to certain industries, such as large-scale manufacturing and chemicals. Those industries involve potentially tens of thousands of stock-keeping units (SKUs) covering a wide variety of products and price points. For many organizations, pricing systems are “cost plus” or “follow the leader,” not typically designed to invoke optimization but rather just move pricing along. Price management is often seen as a complex, arduous task...
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Topics:
Sales,
Sales Performance Management,
Subscription Management,
Revenue Management,
Sales Engagement
When migrating their communications stacks to the cloud, many organizations come face to face with a quandary: do they emphasize the business phone system and gravitate toward a unified communications vendor? Or should they focus on the specific applications needed for running their contact centers and seek out a CCaaS vendor?
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Topics:
Customer Experience,
Voice of the Customer,
Contact Center,
agent management,
Customer Experience Management,
Field Service,
AI and Machine Learning
Enterprises looking to adopt cloud-based data processing and analytics face a disorienting array of data storage, data processing, data management and analytics offerings. Departmental autonomy, shadow IT, mergers and acquisitions, and strategic choices mean that most enterprises now have the need to manage data across multiple locations, while each of the major cloud providers and data and analytics vendors has a portfolio of offerings that may or may not be available in any given location. As...
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Topics:
Analytics,
Cloud Computing,
Data Governance,
Data Integration,
Data,
Digital Technology,
data lakes,
data operations,
data platforms,
AI and Machine Learning
How does your organization define and display its metrics? I believe many organizations are not defining and displaying metrics in a way that benefits them most. If an organization goes through the trouble of measuring and reporting on a metric, the analysis ought to include all the information needed to evaluate that metric effectively. A number, by itself, does not provide any indication of whether the result is good or bad. Too often, the reader is expected to understand the difference, but...
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Topics:
Analytics,
Business Intelligence,
Internet of Things,
Data,
Digital Technology,
Streaming Analytics,
AI and Machine Learning
Digital transformation of the Office of Finance has been a recurring theme for several years, but adoption accelerated when offices were locked down and organizations had to collaborate remotely. It involves shifting manual work, often completed via spreadsheets circulating in emails, to software and systems for improved performance.
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Topics:
Performance Management,
Office of Finance,
Digital transformation,
Digital Business,
digital finance