I’ve previously written about the analytics continuum, which spans a range of capabilities including reporting, visualization, planning, real-time processes, natural language processing, artificial intelligence and machine learning. I’ve also written about the analysis that goes into making intelligent decisions with decision intelligence. In this perspective, I’d like to focus on one end of the analytics continuum, which I’ll label advanced analytics.
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Topics:
Analytics,
Digital Technology,
Analytics & Data,
AI and Machine Learning
Despite the emphasis on organizations being more data-driven and making an increasing proportion of business decisions based on data and analytics, it remains the case that some of the most fundamental questions about an organization are difficult to answer using data and analytics. Ostensibly simple questions such as, “how many customers does the organization have?” can be fiendishly difficult to answer, especially for organizations with multiple business entities, regions, departments and...
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Topics:
Cloud Computing,
Data Management,
Data,
data operations,
Analytics & Data,
AI and Machine Learning
Markets have been more volatile than ever. It creates a need for decision makers to utilize technologies such as artificial intelligence and machine learning (AI/ML) to better understand the external factors that impact their business. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities. However, manual modeling is a time-consuming process and results in a limited number of models and tests. Also, updating those models is...
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Topics:
embedded analytics,
Analytics,
Business Intelligence,
AI and Machine Learning
Ventana Research recently announced its 2023 research agenda for the Office of Revenue, continuing the guidance we’ve offered for nearly two decades to help organizations realize their optimal value from applying technology to improve business outcomes. Chief Sales and Revenue Officers face an imperative to manage their sales and revenue organizations, but they don’t always have the guidance they need to embrace technology to achieve the best possible outcomes. As we look forward to 2023, we...
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Topics:
Sales,
Analytics,
Internet of Things,
Data,
Sales Performance Management,
Digital Technology,
Digital Commerce,
Conversational Computing,
mobile computing,
Subscription Management,
extended reality,
intelligent sales,
partner management,
Sales Engagement,
AI and Machine Learning
Ventana Research recently announced its Market Agenda in the expertise area of Customer Experience. CX has emerged as a way for organizations to demonstrate value and stand out in the marketplace. The technology underlying modern CX is transitioning from tools that are based on communication to those centered on data analysis and process automation. This allows organizations to build great experiences and reap the benefits in customer loyalty and value. It also forces companies to reckon with...
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Topics:
Customer Experience,
Voice of the Customer,
CEM,
Self-service,
Analytics,
Contact Center,
agent management,
Customer Experience Management,
Field Service,
AI and Machine Learning
I’m proud to share Ventana Research’s 2023 Market Agenda for Digital Technology. Our focus in this agenda is to deliver expertise to help organizations prioritize technology investments that improve customer, partner and workforce experiences while also increasing organizational effectiveness and agility.
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Topics:
Analytics,
Cloud Computing,
Internet of Things,
Data,
Digital Technology,
blockchain,
mobile computing,
extended reality,
robotic automation,
Collaborative & Conversational Computing,
AI and Machine Learning
Vertical strategies for enterprise resource planning systems are not new. They emerged more than two decades ago as vendors looked for ways to reduce costs and shorten time-to-value in a software category that was notorious for high costs and extended timelines. A vertical-plus strategy – the plus means it’s a platform, not just an application – takes advantage of recently available technology to extend the ease of implementation and maintenance of the system by having deeper integration with...
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Topics:
Office of Finance,
Cloud Computing,
ERP and Continuous Accounting,
digital finance,
AI and Machine Learning
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
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
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