ISG Software Research Analyst Perspectives

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

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

Master Metrics with Kyligence Zen

Posted by David Menninger on 23 December 2022

Analytics processes are all about how organizations use data to create metrics that help manage and improve operations. Yet, the discipline applied to analytics processes seems to be lacking compared to data processes. I’ve pointed out that the weak link in data governance is often analytics. Organizations can also do a better job tying AnalyticOps to DataOps and do more to define and manage... Read More

Topics: Analytics, Business Intelligence, Data Governance, Data, Digital Technology, Analytics and Data

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

The Arguments For, and Against, In-Database Machine Learning

Posted by Matt Aslett on 23 November 2022

Almost all organizations are investing in data science, or planning to, as they seek to encourage experimentation and exploration to identify new business challenges and opportunities as part of the drive toward creating a more data-driven culture. My colleague, David Menninger, has written about how organizations using artificial intelligence and machine learning (AI/ML) report gaining... Read More

Topics: Data Governance, Data Management, Data, data operations, analytic data platforms, Analytics and Data, AI and Machine Learning

Mind the Gap Between Data and Analytics

Posted by David Menninger on 16 November 2022

If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we also need to mind the gap between data and analytics. These worlds are often disconnected in organizations and, as a result, it limits their effectiveness and agility. Part of the issue is that data and analytics tasks are... Read More

Topics: embedded analytics, Analytics, Business Intelligence, Data Governance, Data Management, data operations, Analytics and Data

Orchestrating Data Pipelines Facilitates Data-Driven Analytics

Posted by Matt Aslett on 25 October 2022

I have written a few times in recent months about vendors offering functionality that addresses data orchestration. This is a concept that has been growing in popularity in the past five years amid the rise of Data Operations (DataOps), which describes more agile approaches to data integration and data management. In a nutshell, data orchestration is the process of combining data from multiple... Read More

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

Cloudera Embraces SaaS with Data Lakehouse Launch

Posted by Matt Aslett on 18 October 2022

Ventana Research’s Data Lakes Dynamics Insights research illustrates that while data lakes are fulfilling their promise of enabling organizations to economically store and process large volumes of raw data, data lake environments continue to evolve. Data lakes were initially based primarily on Apache Hadoop deployed on-premises but are now increasingly based on cloud object storage. Adopters are... Read More

Topics: Business Intelligence, Data Governance, Data Management, Data, data operations, Streaming Data Events, analytic data platforms, Analytics and Data, AI and Machine Learning

Ocient Delivers Ad Hoc Analytics on Hyperscale Workloads

Posted by Matt Aslett on 12 October 2022

I have written before about the continued use of specialist operational and analytic data platforms. Most database products can be used for operational or analytic workloads, and the number of use cases for hybrid data processing is growing. However, a general-purpose database is unlikely to meet the most demanding operational or analytic data platform requirements. Factors including performance,... Read More

Topics: business intelligence, Cloud Computing, Data Management, Data, analytic data platforms, Analytics and Data

Astronomer’s Cloud-Based Data Orchestration Brings Efficiency

Posted by Matt Aslett on 29 September 2022

I have recently written about the organizational and cultural aspects of being data-driven, and the potential advantages data-driven organizations stand to gain by responding faster to worker and customer demands for more innovative, data-rich applications and personalized experiences. I have also explained that data-driven processes require more agile, continuous data processing, with an... Read More

Topics: Cloud Computing, Data Management, Data, data operations, Analytics and Data

The Data Catalog is Indispensable for Good Data Governance

Posted by Matt Aslett on 21 September 2022

The data catalog has become an integral component of organizational data strategies over the past decade, serving as a conduit for good data governance and facilitating self-service analytics initiatives. The data catalog has become so important, in fact, that it is easy to forget that just 10 years ago it did not exist in terms of a standalone product category. Metadata-based data management... Read More

Topics: business intelligence, Data Governance, Data Management, Data, data operations, Analytics and Data

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

Rockset Offers Cloud-Based Real-Time Analytics

Posted by Matt Aslett on 30 August 2022

I have written recently about increased demand for data-intensive applications infused with the results of analytic processes, such as personalization and artificial intelligence (AI)-driven recommendations. Almost one-quarter of respondents (22%) to Ventana Research’s Analytics and Data Benchmark Research are currently analyzing data in real time, with an additional 10% analyzing data every... Read More

Topics: Cloud Computing, Data, Streaming Analytics, Streaming Data Events, analytic data platforms, Analytics and Data

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

Streaming Data Success Relies on Managing Data in Motion and At Rest

Posted by Matt Aslett on 16 August 2022

I recently noted that as demand for real-time interactive applications becomes more pervasive, the use of streaming data is becoming more mainstream. Streaming data and event processing has been part of the data landscape for many decades, but for much of that time, data streaming was a niche activity. Although adopted in industry segments with high-performance, real-time data processing and... Read More

Topics: Big Data, Data, Streaming Analytics, Streaming Data Events, 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