ISG Software Research Analyst Perspectives

MLOps: A Disciplined Approach That Increases Organizational Agility

Posted by David Menninger on 20 October 2022

Artificial intelligence and machine learning are valuable to data and analytics activities. Our research shows that organizations using AI/ML report gaining competitive advantage, improving customer experiences, responding faster to opportunities and threats and improving the bottom line with increased sales and lower costs. No wonder nearly 9 in 10 (87%) research participants report using AI/ML... Read More

Topics: Analytics, AI and Machine Learning

Celonis Improves Business Processes with Process Mining

Posted by David Menninger on 14 October 2022

As I recently pointed out, process mining has emerged as a pivotal technology for data-driven organizations to discover, monitor and improve processes through use of real-time event data, transactional data and log files. With recent advancements, process mining has become more efficient at discovering insights in complex processes using algorithms and visualizations. Organizations use it to... Read More

Topics: Analytics, Business Intelligence, Process Mining, Streaming Analytics, AI and Machine Learning

Process Mining improves Business Processes

Posted by David Menninger on 04 October 2022

Process mining is defined as the analysis of application telemetry including log files, transaction data and other instrumentation to understand and improve operational processes. Log data provides an abundance of information about what operations are occurring, the sequences involved in the processes, how long the processes are taking and whether or not the processes are completed successfully.... Read More

Topics: Analytics, Business Intelligence, Process Mining, AI and Machine Learning

Cloud Computing Realities Part 2: Hybrid and Multi-Cloud Architectures

Posted by David Menninger on 27 September 2022

In my first perspective on cloud computing realities, I covered some of the cost considerations associated with cloud computing and how the cloud costing model may be different enough from on-premises models that some organizations are taken by surprise. In this perspective. I’d like to focus on realities of hybrid and multi-cloud deployments. Let’s start with why hybrid and multi-cloud... Read More

Topics: Cloud Computing, Digital Technology

Enhancing Data Catalog with AI

Posted by David Menninger on 22 September 2022

Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time. Many organizations can’t take full advantage of their data lakes because they don’t know what data actually exists. Also,... Read More

Topics: Business Intelligence, Data Governance, Data Management, data operations, AI and Machine Learning

Augmented Intelligence Reduces Dependency on AI/ML Skill Sets

Posted by David Menninger on 15 September 2022

Business intelligence has evolved. It now includes a spectrum of analytics, one of the most promising of which has been described as augmented intelligence. Some organizations have used the term to describe the practical reality that artificial intelligence with machine learning is not replacing human intelligence, but augmenting it. The term also represents the application of AI/ML to make... Read More

Topics: Analytics, Business Intelligence, natural language processing, Collaborative & Conversational Computing, Analytics and Data, AI and Machine Learning

Cloud Computing Realities – Part 1

Posted by David Menninger on 01 September 2022

The migration to cloud is obvious. Organizations are adopting cloud computing for all variety of applications and use cases. Managed cloud services, commonly referred to as software as a service (SaaS), offer many benefits to organizations including significantly reduced labor costs for system administration and maintenance, as many of these costs are shifted to the software vendor. SaaS also... Read More

Topics: Cloud Computing, Digital Technology

Palantir Operationalizes Analytics and Data for Actions and Decisions

Posted by David Menninger on 26 August 2022

Organizations are managing and analyzing large datasets every day, identifying patterns and generating insights to inform decisions. This can provide numerous benefits for an organization, such as improved operational efficiency, cost optimization, fraud detection, competitive advantage and enhanced business processes. By bringing the right, actionable data to the right user, organizations can... Read More

Topics: embedded analytics, Business Intelligence, Internet of Things, Streaming Analytics, AI and Machine Learning

Embed Analytics for Greater Reach and More Responsiveness

Posted by David Menninger on 18 August 2022

When I looked at the state of analytics recently, it was clear that analytics are not as widely deployed within organizations as they should be. Only 23% of participants in our Analytics and Data Benchmark Research reported that more than one-half of their organization’s workforce are using analytics. There are many elements to becoming a data-driven organization, as my colleague Matt Aslett... Read More

Topics: embedded analytics, Analytics, Analytics and Data

Qlik Advances Self-Service Analytics and Business Intelligence

Posted by David Menninger on 11 August 2022

The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes. They can collect and combine data from internal and external systems to present a holistic view. BI... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data Management, Analytics and Data, AI and Machine Learning

Expanding the Analytics Continuum: From Analysis to Action

Posted by David Menninger on 02 August 2022

I often use the term “analytics” to refer to a broad set of capabilities, deliberately broader than business intelligence. In this Perspective, I’d like to share what decision-makers should consider as they evaluate the range of analytics requirements for their organization. The analytics continuum comprises the many types of analyses organizations perform, including reporting, visualization,... Read More

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

Tableau Brings Business Intelligence to Business Users

Posted by David Menninger on 26 July 2022

Organizations are collecting vast amounts of data every day, utilizing business intelligence software and data visualization to gain insights and identify patterns and errors in the data. Making sense of these patterns can enable an organization to gain an edge in the marketplace and plan more strategically. Tableau is a data visualization software company, acquired by Salesforce in 2019, that... Read More

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

Data Governance, Then and Now

Posted by David Menninger on 20 July 2022

We’ve recently published our latest Benchmark Research on Data Governance and it’s fair to say, “you’ve come a long way, baby.” Many of you reading this weren’t around when that phrase was introduced in 1968 to promote Virginia Slims cigarettes, but you may have heard the phrase because it went on to become a part of popular culture. We’ve learned a lot about cigarettes since then, and we’ve... Read More

Topics: Big Data, Data Governance, Data Management, Analytics and Data

Zoho Unifies Data and Analytics

Posted by David Menninger on 07 July 2022

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights. Our Analytics and Data Benchmark Research shows some of the benefits of using analytics: Improved efficiency in business processes, improved communication and gaining a competitive edge in the market top the list. With a unified BI system, organizations... Read More

Topics: business intelligence, embedded analytics, Data Governance, Data Management, natural language processing, data operations, Streaming Analytics, AI and Machine Learning

Semantic Models Benefit Analytical Processes

Posted by David Menninger on 28 June 2022

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. The research shows how important a semantic model can be to the success of data and analytics processes. Organizations that have successfully... Read More

Topics: Business Intelligence, Data Management, data operations, Analytics and Data, AI and Machine Learning

Domo Enables Real-Time Collaboration for Analytics

Posted by David Menninger on 22 June 2022

Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth. The data is usually stored in multiple systems with various data governance rules, which makes it complicated to democratize data and analytics within an organization. The most pressing concerns cited by participants... Read More

Topics: Domo, BI platform

Kyvos Accelerates Business Intelligence in the Cloud

Posted by David Menninger on 10 June 2022

Organizations are scaling business intelligence initiatives to gain a competitive advantage and increase revenue as more data is created. Lack of expertise, data governance and slow performance can impact these efforts. Our Analytics and Data Benchmark Research finds some of the most pressing complaints about analytics and BI include difficulty integrating with other business processes and... Read More

Topics: Business Intelligence, Data Governance

Data and Analytics Processes: Can We Get Personal?

Posted by David Menninger on 24 May 2022

There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are some options built in — perhaps the same action can be initiated by either clicking on a button, selecting a menu item or invoking a keyboard short-cut.... Read More

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

Accelerate Business Outcomes with Immuta Data Access Governance

Posted by David Menninger on 19 May 2022

The data governance landscape is growing rapidly. Organizations handling vast amounts of data face multiple challenges as more regulations are added to govern sensitive information. Adoption of multi-cloud strategies increases governance concerns with new data sources that are accessed in real time. Our Data Governance Benchmark Research shows that organizations face multiple challenges when... Read More

Topics: Data Governance, Data Management, data operations

Denodo Advancing Data Virtualization in the Cloud

Posted by David Menninger on 28 April 2022

Organizations have been using data virtualization to collect and integrate data from various sources, and in different formats, to create a single source of truth without redundancy or overlap, thus improving and accelerating decision-making giving them a competitive advantage in the market. Our research shows that data virtualization is popular in the big data world. One-quarter (27%) of... Read More

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