ISG Software Research Analyst Perspectives | AI and Machine Learning (6)

Now with the Miracle Ingredient AI!

Posted by Robert Kugel on 30 March 2023

Early last December, just before ChatGPT became the new, bright, shiny object, The Economist magazine ran a story proclaiming that we had finally arrived at the age of boring artificial intelligence (AI). From my perspective, it’s unfortunate that didn’t last and that AI has been relegated back to the buzzword league. AI will be an increasingly important feature of business software through the... Read More

Topics: Office of Finance, Business Intelligence, Business Planning, Enterprise Resource Planning, ERP and Continuous Accounting, natural language processing, continuous supply chain, AI and Machine Learning

Tellius Enables Decision Intelligence

Posted by David Menninger on 23 March 2023

Organizations are continuously searching for new business opportunities hidden in their data. They are using various technologies including artificial intelligence and machine learning (AI/ML) to uncover granular insights that can support decision-making. Existing tools and dashboards are effective for observing standard metrics; however, they do not address follow-up questions, such as why... Read More

Topics: Analytics, Business Intelligence, natural language processing, AI and Machine Learning

More Effective Contingency Planning Improves Agility

Posted by Robert Kugel on 28 February 2023

We live in a time of uncertainty, not unpredictability. Managing an organization in uncertain times is always hard, but tools are available to improve the odds for success by making it easier and faster to plan for contingencies and scenarios. Software makes it possible to quickly consider the impact of a range of events or assumptions and devise a set of plans to deal with them. Dedicated... Read More

Topics: Office of Finance, Data Management, Business Planning, AI and Machine Learning

Advanced Analytics Enable More Informed Decision-Making

Posted by David Menninger on 16 February 2023

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... Read More

Topics: Analytics, Digital Technology, Analytics and Data, AI and Machine Learning

SnapLogic Promotes Intelligent Automation for All

Posted by Matt Aslett on 31 January 2023

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... Read More

Topics: Cloud Computing, Data Management, Data, data operations, Analytics and Data, AI and Machine Learning

Prevedere Provides Predictive Insights with Analytics and Planning

Posted by David Menninger on 24 January 2023

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... Read More

Topics: embedded analytics, Analytics, Business Intelligence, AI and Machine Learning

The Revolution in Revenue in 2023: Ventana Research Market Agenda

Posted by Stephen Hurrell on 13 January 2023

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... Read More

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, AI and Machine Learning

The 2023 Market Agenda for CX: Analytics Takes Center Stage

Posted by Keith Dawson on 12 January 2023

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... Read More

Topics: Customer Experience, Voice of the Customer, CEM, Self-service, Analytics, Contact Center, agent management, AI and Machine Learning

2023 Digital Technology Market Agenda: Innovation for Digital Agility

Posted by David Menninger on 11 January 2023

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. Digital technology is a business necessity, as demonstrated throughout the pandemic. It... Read More

Topics: Analytics, Cloud Computing, Internet of Things, Data, Digital Technology, blockchain, mobile computing, extended reality, robotic automation, Collaborative & Conversational Computing, AI and Machine Learning

Epicor Enriches Vertical-Plus Approach for Growth

Posted by Robert Kugel on 10 January 2023

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... Read More

Topics: Office of Finance, Cloud Computing, ERP and Continuous Accounting, AI and Machine Learning

Pyramid Analytics Expands Decision Intelligence Across the Organization

Posted by Mark Smith on 30 December 2022

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. The market has evolved to focus... Read More

Topics: business intelligence, Analytics, Data, Digital Technology, analytic data platforms, Analytics and Data, AI and Machine Learning

Oracle Links Analytics and Business Intelligence in the Cloud

Posted by David Menninger on 29 December 2022

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... Read More

Topics: embedded analytics, Analytics, Business Intelligence, natural language processing, AI and Machine Learning

Make Intelligent Decisions with Decision Intelligence

Posted by David Menninger on 27 December 2022

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... Read More

Topics: Analytics, Business Intelligence, Digital Technology, Analytics and Data, AI and Machine Learning

InterSystems Transforming Organizations with Cloud Smart Data Fabric

Posted by Matt Aslett on 27 December 2022

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.... Read More

Topics: Business Intelligence, Cloud Computing, Data Management, Data, natural language processing, data operations, analytic data platforms, Analytics and Data, AI and Machine Learning

The Data Pantry Accelerates Actionable Analytics for Decision-Making

Posted by Robert Kugel on 22 December 2022

Ventana Research uses the term “data pantry” to describe a method of data storage (and the technology and process blueprint for its construction) created for a specific set of users and use cases in business-focused software. It’s a pantry because all the data one needs is readily available and easily accessible, with labels that are immediately recognized and understood by the users of the... Read More

Topics: Continuous Planning, Business Intelligence, Data Management, Business Planning, Data, Financial Performance Management, Enterprise Resource Planning, continuous supply chain, data operations, Streaming Data Events, Analytics and Data, AI and Machine Learning

Cloud Computing Realities Part 4 — Security and Governance

Posted by David Menninger on 21 December 2022

In previous perspectives in this series, I’ve discussed some of the realities of cloud computing including costs, hybrid and multi-cloud configurations and business continuity. This perspective examines the realities of security and regulatory concerns associated with cloud computing. These issues are often cited by our research participants as reasons they are not embracing the cloud. To be... Read More

Topics: Analytics, Business Intelligence, Cloud Computing, Data Governance, Digital Technology, Analytics and Data, AI and Machine Learning

Recognize and Plan for the AI and Machine Learning Skills Gap

Posted by David Menninger on 15 December 2022

Recently, I suggested you need to “mind the gap” between data and analytics. This perspective addresses another gap — the gap in skills between business intelligence (BI) and artificial intelligence/machine learning (AI/ML). There’s a lot of hype surrounding AI/ML, and for good reason too. Our research shows that the interest in AI/ML is justified. Organizations using AI/ML report it has helped... Read More

Topics: Analytics, Business Intelligence, Digital Technology, Analytics and Data, AI and Machine Learning

SQream if You Want to Analyze Data Faster

Posted by Matt Aslett on 08 December 2022

One of the most significant considerations when choosing an analytic data platform is performance. As organizations compete to benefit most from being data-driven, the lower the time to insight the better. As data practitioners have learnt over time, however, lowering time to insight is about more than just high-performance queries. There are opportunities to improve time to insight throughout... Read More

Topics: Business Intelligence, Data, data operations, analytic data platforms, AI and Machine Learning

Sisense is Sensible for Embedded Analytics and BI

Posted by David Menninger on 07 December 2022

Embedded business intelligence (BI) continues to transform the business landscape, enabling organizations to quickly interpret data and convert it into actionable insights. It allows organizations to extract information in real time and answer wide-ranging business questions. Embedding analytics helps tackle the issue of extracting information from data which is a time-consuming process. Our... Read More

Topics: embedded analytics, Analytics, Business Intelligence, natural language processing, Streaming Analytics, AI and Machine Learning

IBM Builds on Analytics and BI Foundation

Posted by David Menninger on 29 November 2022

In today’s data-driven world, organizations need real-time access to up-to-date, high-quality data and analysis to keep pace with changing market dynamics and make better strategic decisions. By mining meaningful insights from enterprise data quickly, they gain a competitive advantage in the market. Yet, organizations face a multitude of challenges when transitioning into an analytics-driven... Read More

Topics: embedded analytics, Analytics, Business Intelligence, IBM, IBM Watson, AI and Machine Learning