Governance, risk management and compliance are essential tactics for a successful organization. Effective GRC practices help organizations achieve business objectives, mitigate risks and ensure compliance with laws and regulations. As a chief information officer or IT leader, it is important to evaluate new technologies and determine their impact on the business, including whether they fit within the scope of current GRC programs and processes.
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Topics:
Data Governance,
Digital Business,
Digital Security,
Governance & Risk,
AI and Machine Learning
This title plays on the now-ancient meme from the 1990s: “On the internet, nobody knows you’re a dog,” which pointed to a challenge of anonymity posed by new technology. In this case, though, I’m using it to highlight an opportunity that generative artificial intelligence presents in streamlining routine business functions that require some level of individual skill and experience to handle. Ordinary contracts are just one example of work products that require humans to create, edit, analyze,...
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Topics:
Office of Finance,
Digital Technology,
digital finance,
robotic automation,
Generative AI,
AI and Machine Learning
If I had a magic wand, I would want to add scenario evaluation to all business intelligence tools on the market. I have previously written about the need to make intelligent decisions with decision intelligence. The data and analytics markets have evolved so that organizations have far greater capabilities to utilize data in decision-making processes. While there is some convergence around the concept of decision intelligence, there are still several “islands” of decision-making. Analyzing...
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Topics:
Analytics,
Business Intelligence,
Business Planning,
Digital Technology,
Analytics & Data
The world of human capital management (HCM) technology, and tech in general, is buzzing with excitement over the potential of generative artificial intelligence (GenAI). Startups, especially, are releasing software at seemingly breakneck speed, and larger vendors, specifically the platform providers, have been releasing their own net-new or enhanced features and functionality. We’ve all read that GenAI, and the practical application of large language models (LLMs), are the technological...
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Topics:
Human Capital Management,
AI and Machine Learning
Given the ever-expanding digital footprint of most businesses today, visibility into the performance of distributed systems has become a necessity. There are more data sources and data storage locations than ever before. As organizations continue to expand their data presence and scale their systems and tools, digital security is of greater importance in the architecture and operations. Monitoring is a fundamental enabler of digital security that provides real-time detection of cyber threats...
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Topics:
Digital Business,
Digital Security
Over the past three years, the Public Company Accounting Oversight Board (or PCAOB, sometimes pronounced “peekaboo”) has found an increasing prevalence of auditing deficiencies in its inspections of accounting firms. PCAOB was established as part of the Sarbanes-Oxley Act of 2002 in the wake of several major accounting scandals. The agency acts as the auditor of auditors with the objective of being a neutral arbiter of the quality of these inspections. It recently indicated that approximately...
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Topics:
Office of Finance,
audit,
ERP and Continuous Accounting,
digital finance,
virtual audit,
Consolidate/Close/Report
In recent years, the corporate landscape has witnessed a notable shift towards prioritizing employee experience. Organizations have recognized that a content and engaged workforce translates to higher productivity, reduced turnover and improved profitability, as I previously wrote about. Consequently, companies have invested considerable resources in creating a positive work environment and enhancing the overall experience of their employees. While this emphasis on employee experience is...
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Topics:
Human Capital Management,
Recruiting,
Talent Management,
employee experience,
Talent Acquisition,
Candidate Experience
The current market landscape of data and analytics is undergoing rapid evolution, presenting organizations with a wide array of challenges and opportunities. As data sources and warehouses steadily migrate to the cloud, a significant number of organizations still depend on conventional tools. This reliance on legacy systems hinders the seamless accessibility and adoption of analytics and business intelligence within business processes. Organizations are increasingly turning to embedded...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
Streaming Analytics,
AI and Machine Learning
A century ago, the big breakthrough in telephones was the ability to dial your party’s number directly. Dialing became necessary when enough people had telephones to require a shift from people-assisted to fully automated connections. But direct dialing was only a local option – you still needed an operator to make long-distance calls. In the 1920s, commenting on their forecast for the expected growth of long-distance calling, the analysts at Bell Laboratories concluded that by midcentury, the...
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Topics:
Office of Finance,
Analytics,
Business Planning,
AI and Machine Learning
A lot of conversations around contact centers deal with automation, particularly how to balance the way humans and automated systems work together. Self-service, the front end of the customer interaction, is where practitioners get a first taste of the marvels of increasingly advanced automation. As customer expectations ramped up and labor became more costly during the pandemic, deflecting interactions away from agents took on new urgency. We continue to see impressive advances in automated...
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Topics:
Customer Experience,
Self-service,
automation,
Contact Center,
Knowledge Management,
agent management,
Customer Experience Management,
Intelligent Self-Service,
Conversational AI
Having worked at a start-up during the first wave of artificial intelligence (AI) that was predicted to revolutionize sales in the mid-2010s, I guess I am a natural skeptic when it comes to new claims about how AI will change sales forever. In the mid-2010s, vendors were using machine learning (ML) models trained on sets of historical opportunity data that represented closed won and closed lost deals. The ML models were looking for correlation and patterns to see whether they could predict...
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Topics:
Digital Commerce,
Sales Engagement,
Office of Revenue
Talent acquisition remains a focal point for most organizations in this dynamic and highly competitive corporate environment. Unfortunately, the pivotal process of offboarding often takes a back seat. An efficient employment separation process plays a key role in enhancing the employee experience, protecting the company's reputation and mitigating potential legal and financial risks associated with employee separation. One solution that effectively addresses these complexities is Onwards HR, a...
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Topics:
Human Capital Management,
Talent Management
Enterprise organizations remain vulnerable to a host of security attacks. Cyberattacks are often associated with techniques that have never been seen before, which lead to data breaches if not quickly detected and remediated. However, one of the most common vulnerabilities for an organization is phishing. Phishing lures people to give up confidential information by clicking on a link or opening a file in an email from what appears to be a trusted source but is actually a bad actor....
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Topics:
Digital Business,
Digital Security
Real-time business is a modern phenomenon, and business transformation has accelerated many business events in recent years. However, the execution of business events has always occurred in real time. Rather, it is the processing of the data related to business events that has accelerated instead of the event itself.
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Topics:
Analytics,
Data,
Streaming Analytics,
Streaming Data & Events
I am happy to share insights gleaned from our latest Buyers Guide, a research and assessment of how well vendors’ offerings meet buyers’ requirements. The Revenue Performance Management Ventana Research Buyers Guide: 2023 is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to Revenue...
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Topics:
Office of Revenue,
Revenue Performance Management
It is a mark of the rapid, current pace of development in artificial intelligence (AI) that machine learning (ML) models, until recently considered state of the art, are now routinely being referred to by developers and vendors as “traditional.” Generative AI, and large language models (LLMs) in particular, have taken the AI world by storm in the past year, automating and accelerating the development of content, including text, digital images, audio and video, as well as computer programs and...
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Topics:
Analytics,
Business Intelligence,
Cloud Computing,
Data Governance,
Data,
Digital Technology,
natural language processing,
Analytics & Data,
Analytic Data Platforms,
AI and Machine Learning
Having just completed the 2023 Ventana Research Buyers Guide for Revenue Performance Management, I want to share some of my observations about how the market has advanced since our assessment one year ago.
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Topics:
Office of Revenue,
Revenue Performance Management
As I have previously explained, we expect an increased demand for intelligent operational applications infused with the results of analytic processes, such as personalization and artificial intelligence-driven recommendations. These systems rely on the analysis of data in the operational data platform to accelerate worker decision-making or improve customer experience.
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Topics:
Analytics,
Data,
Digital Technology,
Streaming Analytics,
Analytics & Data,
Streaming Data & Events,
operational data platforms,
AI and Machine Learning
We added purchasing, sourcing and payments to our core Office of Finance focus areas this year to reflect new and important opportunities to use technology to gain effectiveness through greater efficiency. Technology continues to lubricate the wheels of commerce, aided by a financial services sector that is constantly innovating, responding to market-driven opportunities to reduce costs, increase demand or lower risk. Ventana Research asserts that, in many cases, technology makes new forms or...
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Topics:
Product Information Management,
Operations & Supply Chain,
Enterprise Resource Planning,
ERP and Continuous Accounting,
digital finance,
Purchasing/Sourcing/Payments,
Continuous Supply Chain & ERP
The role of the chief information officer has evolved from managing IT to maximizing technology for business value. Many organizations launch digital transformation programs to identify and deliver the desired value but discover that digital transformation is a complex, lengthy process. Budgets and resources can be quickly exhausted with little to show for the investment. Yet business objectives remain.
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Topics:
Digital Technology,
Work Management,
Customer Experience Management,
robotic automation
In a relatively short time, customer data platforms (CDPs) have become default components of the contact center tech stack. This is an important development for contact center practitioners because it reflects the fact that customer data is essential to maintaining productive customer relationships. It also provides an on-ramp for organizations to establish a sensible data strategy if they have not done so already.
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Topics:
Customer Experience,
Contact Center,
Customer Experience Management