David Menninger's Analyst Perspectives

AUGUST 11, 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.

Business Intelligence 246

Business Intelligence Analytics Visualization Marketing 246

datapine

MARCH 31, 2022

4) Business Intelligence Job Roles. Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In So, what skills are needed for a business intelligence career?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 235

Machine Learning Key Performance Indicator Optimization Analytics 235

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Experience the power of Business Intelligence with our 14-days free trial! Why Is Business Intelligence So Important?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

David Menninger's Analyst Perspectives

DECEMBER 29, 2022

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 analytics and BI with other business processes.

Business Intelligence 200

Business Intelligence Analytics Data Warehouse Software 200

Analytics Vidhya

JANUARY 11, 2024

Imagine a world where your data not only compiles and organizes itself but also generates insights with the power of Artificial Intelligence (AI).

Business Intelligence 190

Business Intelligence Technology Management Analytics 190

CIO Business Intelligence

NOVEMBER 14, 2024

Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. Explainability is also still a serious issue in AI, and companies are overwhelmed by the volume and variety of data they must manage.

Machine Learning 59

Machine Learning Risk Modeling Enterprise 59

datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

David Menninger's Analyst Perspectives

AUGUST 29, 2023

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. Analyzing historical data to understand what happened and why it happened is a very mature market segment.

Business Intelligence 278

Business Intelligence Machine Learning Marketing Technology 278

David Menninger's Analyst Perspectives

OCTOBER 26, 2021

Databricks is a data engineering and analytics cloud platform built on top of Apache Spark that processes and transforms huge volumes of data and offers data exploration capabilities through machine learning models. The platform supports streaming data, SQL queries, graph processing and machine learning.

Big Data 327

Big Data Data Processing Machine Learning Modeling 327

David Menninger's Analyst Perspectives

APRIL 13, 2020

Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line.

Machine Learning 312

Machine Learning Predictive Analytics Analytics Finance 312

David Menninger's Analyst Perspectives

MAY 20, 2025

Domo is best known as a business intelligence (BI) and analytics software provider, thanks to its functionality for visualization, reporting, data science and embedded analytics. Domo was founded in 2010 by chief executive officer Josh James, previously founder and CEO of web analytics provider Omniture.

Metrics 130

Metrics Data Governance Unstructured Data Data-driven 130

David Menninger's Analyst Perspectives

MARCH 2, 2022

There are various techniques for interpreting human language, ranging from statistical and machine learning (ML) methods to rules-based and algorithmic approaches. NLQ and NLG enable business personnel to communicate information needs with business intelligence (BI) systems more easily.

Analytics 250

Analytics Statistics Machine Learning Business Intelligence 250

CIO Business Intelligence

NOVEMBER 27, 2024

Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

DECEMBER 5, 2024

This shift allows for enhanced context learning, prompt augmentation, and self-service data insights through conversational business intelligence tools, as well as detailed analysis via charts. Opt for platforms that can be deployed within a few months, with easily integrated AI and machine learning capabilities.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Browser extension-based integration with analytics dashboards provides business and data analysts with instant access to data health information and status alerts. Bigeye’s anomaly detection capabilities rely on the automated generation of data quality thresholds based on machine learning (ML) models fueled by historical data.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 341

Data Science Data Lake Data mining Deep Learning 341

David Menninger's Analyst Perspectives

SEPTEMBER 21, 2023

Organizations are continuously combining data from diverse and siloed sources for analytical, artificial intelligence and machine learning projects. As the volume of data grows, it becomes challenging for organizations to manage and keep current to extract valuable insights in a timely manner.

Data Analytics 312

Data Analytics Analytics Machine Learning Management 312

David Menninger's Analyst Perspectives

MAY 14, 2025

The primary benefits of data governance are improved data quality, accuracy of reporting and business intelligence, operational efficiency and enhanced regulatory compliance. Our research illustrates a gap between awareness of the need for governance in AI initiatives and policies to govern AI and machine learning models.

Data Governance 130

Data Governance Data Quality Data-driven Metadata 130

David Menninger's Analyst Perspectives

FEBRUARY 8, 2021

The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). There is more data available to analyze. Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications.

Machine Learning 338

Machine Learning Modeling Analytics Sales 338

CIO Business Intelligence

NOVEMBER 18, 2024

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

AWS Big Data

JANUARY 15, 2025

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone , to make data discoverable by data consumers across different business units so that they can innovate faster. Enhance agility by localizing changes within business domains and clear data contracts.

IoT 110

IoT Machine Learning Metadata Data-driven 110

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Key Performance Indicator 305

Key Performance Indicator Optimization Analytics Machine Learning 305

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Machine Learning is a fast-growing field, and its applications have become ubiquitous in our day-to-day lives. As the demand for ML models increases, so makes the demand for user-friendly interfaces to interact with these models.

Dashboards 250

Dashboards Machine Learning Interactive Modeling 250

CIO Business Intelligence

OCTOBER 20, 2024

The partnership is set to trial cutting-edge AI and machine learning solutions while exploring confidential compute technology for cloud deployments. Core42 equips organizations across the UAE and beyond with the infrastructure they need to take advantage of exciting technologies like AI, Machine Learning, and predictive analytics.

Digital Transformation 111

Digital Transformation Machine Learning Predictive Analytics Data-driven 111

David Menninger's Analyst Perspectives

JULY 7, 2022

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights.

Analytics 296

Analytics Business Intelligence Marketing Management 296

David Menninger's Analyst Perspectives

OCTOBER 5, 2020

Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. Our methodology for these assessments is referred to as a Value Index. We use weightings derived from our benchmark research about how you, as buyers of these technologies, value and evaluate vendors.

Software 290

Software Analytics Business Intelligence Technology 290

Analytics Vidhya

OCTOBER 4, 2022

Introduction From the past two decades machine learning, Artificial intelligence and Data Science have completely revolutionized the traditional technologies.

Machine Learning 268

Machine Learning Data Science Analytics Technology 268

David Menninger's Analyst Perspectives

OCTOBER 19, 2021

Our research shows that more than three-quarters (77%) of participants consider external data to be an important part of their machine learning (ML) efforts. Access to external data can provide a competitive advantage. The most important external data source identified is social media, followed by demographic data from data brokers.

Data Lake 284

Data Lake Analytics Machine Learning Marketing 284

David Menninger's Analyst Perspectives

NOVEMBER 24, 2021

As organizations are embracing artificial intelligence (AI) and machine learning (ML), they are recognizing the need to adopt MLOps. Adopting a DevOps approach to application deployment has allowed organizations to deploy new and revised applications more quickly.

Analytics 306

Analytics Machine Learning Data Processing Technology 306

CIO Business Intelligence

NOVEMBER 5, 2024

Leveraging machine learning and AI, the system can accurately predict, in many cases, customer issues and effectively routes cases to the right support agent, eliminating costly, time-consuming manual routing and reducing resolution time to one day, on average. I’ll give you one last example of how we use AI to fight fraud.

B2B 132

B2B Machine Learning Technology Marketing 132

David Menninger's Analyst Perspectives

JANUARY 20, 2021

In our Data Preparation Benchmark Research , we found that 41% of participants use Analytics and Business Intelligence tools for data preparation. The necessary tools are often separate, but our research shows organizations prefer an integrated environment.

Business Analytics 274

Business Analytics Analytics Business Intelligence Internet of Things 274

CIO Business Intelligence

MAY 22, 2025

AI and machine learning models that analyze data and simulate scenarios to predict future behaviors and outcomes. These models utilize machine learning algorithms and AI techniques to predict behaviors, identify patterns and generate insights. Analytics and simulation. Visualization.

Enterprise 112

Enterprise Visualization Key Performance Indicator Machine Learning 112

David Menninger's Analyst Perspectives

APRIL 14, 2021

Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end.

Machine Learning 264

Machine Learning Data-driven Software Modeling 264

David Menninger's Analyst Perspectives

SEPTEMBER 22, 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.

Data Lake 278

Data Lake Business Intelligence Analytics IT 278

O'Reilly on Data

SEPTEMBER 19, 2023

And then there was the other problem: for all the fanfare, Hadoop was really large-scale business intelligence (BI). They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools.

Machine Learning 342

Machine Learning Testing Modeling Cost-Benefit 342