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

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

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The data scientists need to find the right data as inputs for their models — they also need a place to write-back the outputs of their models to the data repository for other users to access. The semantic layer bridges the gaps between the data cloud, the decision-makers, and the data science modelers.

Data Science 286

Data Science Forecasting Business Intelligence Sales 286

CIO Business Intelligence

MARCH 22, 2022

Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 144

Modeling Machine Learning Forecasting Optimization 144

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Today, real time business intelligence is a necessity more than a luxury, so it’s important to understand exactly what it is, and what it can do for you.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

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). Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. This is the power of marketing.)

Machine Learning 341

Machine Learning Testing Modeling Cost-Benefit 341

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean? Confused yet?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. Even basic predictive modeling can be done with lightweight machine learning in Python or R. They leverage around 15 different models.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

datapine

AUGUST 14, 2019

Business intelligence has developed into one of the most powerful solutions for companies that look for smart data analysis, predicting the future, and utilizing business intelligence software for generating actionable insights. connecting data sources and predicting future outcomes. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and business intelligence?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smarten

NOVEMBER 4, 2024

Knowledgebase Articles Access Rights, Roles and Permissions : AD Integration in Smarten Data Sources : Database Data Sources : Improving performance for fetching data from the database GeoMap : Importing areas and their Lat / Long Predictive Use cases Assisted predictive modelling : Regression : Medical Cost Prediction Using Smarten Assisted Predictive (..)

Predictive Modeling 62

Predictive Modeling Modeling Predictive Analytics Business Intelligence 62

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. The fourth pillar focuses on testing the results of data models, visualizations, and other applications to validate data in use.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Smarten

MARCH 13, 2018

Does your business intelligence solution provide true advanced analytics capabilities? Can your BI tool satisfy the needs of business users, data scientists and IT staff?

Predictive Modeling 40

Predictive Modeling Modeling Analytics Predictive Analytics 40

BizAcuity

NOVEMBER 13, 2024

BI consulting services play a central role in this shift, equipping businesses with the frameworks and tools to extract true value from their data. As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

DataRobot

JANUARY 20, 2022

Analysts, data scientists, and citizen data champions can access data and advanced insights on-demand from all ICS partner organizations and collaborate on dataset and model development in real-time. As ICSs mature digitally, there is a need to ensure that all processes, datasets, and models are transparent and are free from bias. –

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

CIO Business Intelligence

SEPTEMBER 24, 2024

Accelerated adoption of artificial intelligence (AI) is fuelling rapid expansion in both the amount of stored data and the number of processes needed to train and run machine learning models. It takes huge volumes of data and a lot of computing resources to train a high-quality AI model.

Predictive Modeling 116

Predictive Modeling Machine Learning Forecasting Data-driven 116

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. and SAS Text Analytics, Time Series, Experimentation, and Optimization.

Data Science 127

Data Science Machine Learning Predictive Modeling Forecasting 127

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data 127

Big Data Data Analytics Analytics Predictive Modeling 127

CIO Business Intelligence

APRIL 22, 2022

For example, data analysts should be on board to investigate the data before presenting it to the team and to maintain data models. Some common tools include: SAS” This proprietary statistical tool is used for data mining, statistical analysis, business intelligence, clinical trial analysis, and time-series analysis.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

FineReport

MAY 13, 2020

Birt is an open-source Eclipse-based business intelligence platform for small businesses. It also can be used to create a predictive model for various business domains and kinds of models, such as classification, regression, and clustering. . From Google. But KNIME is less flexible and slow. .

OLAP 105

OLAP KPI Data mining Business Intelligence 105

Smarten

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence? Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Smarten

JUNE 22, 2022

So, if your team is already used to enterprise, best-of-breed or legacy systems, why not add integrated analytics via embedded business intelligence? These software solutions are familiar and often times are a crucial part of workflow, helping the user to capture and monitor data and to check approvals, orders, project status etc.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

CIO Business Intelligence

MAY 21, 2024

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

IT 131

IT Cost-Benefit Experimentation Forecasting 131

Smarten

JULY 26, 2022

Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.” Installation is easy. About Smarten. Original Post : Smarten Augmented Analytics Now Available on Mobile App!

Analytics 74

Analytics Key Performance Indicator Business Intelligence Dashboards 74

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Smarten PMML Integration enables a seamless process, designed for business users,’ says Patel. Models are interpreted in English and model details are logically organized.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

CIO Business Intelligence

SEPTEMBER 2, 2022

While the company is leading technology development for the markets it serves, working behind the scenes is the company’s IT organization, which is charged with delivering digital solutions and useful business intelligence on market conditions, competition, supply chain, and customers. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

CIO Business Intelligence

SEPTEMBER 2, 2022

While the company is leading technology development for the markets it serves, working behind the scenes is the company’s IT organization, which is charged with delivering digital solutions and useful business intelligence on market conditions, competition, supply chain, and customers. How extensive is your data-driven strategy today?

Uncertainty 98

Uncertainty Manufacturing Data-driven Business Intelligence 98

Smart Data Collective

SEPTEMBER 26, 2021

An analyst can examine the data using business intelligence tools to derive useful information. . Choosing the right data storage model for your requirements is paramount. If it’s not done right away, then later. The raw data can be fed into a database or data warehouse. Speaking of which.

Metadata 130

Metadata Visualization Unstructured Data Data mining 130

CIO Business Intelligence

OCTOBER 2, 2024

Raw data collected through IoT devices and networks serves as the foundation for urban intelligence. Meanwhile, predictive modeling anticipates resource needs and potential infrastructure failures, and anomaly detection allows for prompt identification and mitigation of environmental hazards and security threats.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Foundation models: The power of curated datasets Foundation models , also known as “transformers,” are modern, large-scale AI models trained on large amounts of raw, unlabeled data.

Risk 70

Risk Modeling Management Metadata 70

Smarten

MAY 28, 2024

Knowledgebase Articles General : Global Variable : Calculating Profit/Loss Variance based on What-if Analysis Embedded / API Integration : API Call to rebuild cubes / datasets Installation : Bypassing Smarten executable files from Antivirus Scan Predictive Use cases Assisted predictive modelling : Classification : Customer Churn model using Smarten (..)

Predictive Modeling 67

Predictive Modeling Snapshot Modeling Analytics 67

CIO Business Intelligence

DECEMBER 19, 2024

Government agencies and nonprofits are looking for data scientists and engineers to help with climate modeling and environmental impact analysis. Skills in Python, R, TensorFlow, and Apache Spark enable professionals to build predictive models for energy usage, optimize resource allocation, and analyze environmental impacts.

IT 52

IT IoT Machine Learning Optimization 52