O'Reilly on Data

JANUARY 17, 2023

Building Models. A common task for a data scientist is to build a predictive model. You’ll try this with a few other algorithms, and their respective tuning parameters–maybe even break out TensorFlow to build a custom neural net along the way–and the winning model will be the one that heads to production.

Machine Learning 363

Machine Learning Predictive Modeling Software Modeling 363

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. Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. And guess what?

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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

KDnuggets

JANUARY 3, 2022

Also: 6 Predictive Models Every Beginner Data Scientist Should Master; The Best ETL Tools in 2021; Write Clean Python Code Using Pipes; Three R Libraries Every Data Scientist Should Know (Even if You Use Python).

Predictive Modeling 132

Predictive Modeling Visualization Modeling 132

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. provides the user with visualizations, code editor, and debugging. connecting data sources and predicting future outcomes. Let’s get started.

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

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 173

Testing Data Quality Predictive Modeling Metrics 173

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. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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. The exam consists of 65 multiple-choice or multiple-response questions, which the candidate has 180 minutes to complete.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smarten

NOVEMBER 26, 2024

This helps you select the predictors that have the greatest impact, making it easier to create an effective predictive model. The graph visually represents both non-missing (non-null) values and missing (null) values, allowing you to quickly identify which columns have incomplete data.

Machine Learning 62

Machine Learning Data Quality Predictive Modeling Metadata 62

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. The end-user is another factor to consider.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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 126

Data Science Machine Learning Predictive Modeling Forecasting 126

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. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Juice Analytics

JULY 6, 2018

Gathering a collection of visualizations and calling it a data story is easy (and inaccurate). Making it meaningful is so much harder. Making data-driven narrative that influences people.hard. Schedule a demo.

Slice and Dice 90

Slice and Dice Predictive Modeling Visualization Data-driven 90

datapine

JANUARY 31, 2022

BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. What’s more, visualizing their data helped them see how much revenue a given seat is producing during a season, and compare the different areas of the stadium.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. Tableau: Now owned by Salesforce, Tableau is a data visualization tool. BigML: BigML is machine learning platform focused on simplifying the building and sharing of datasets and models.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

FineReport

JUNE 7, 2024

In 2024, data visualization companies play a pivotal role in transforming complex data into captivating narratives. This blog provides an insightful exploration of the leading entities shaping the data visualization landscape. Let’s embark on a journey to uncover the top 10 Data Visualization Companies of 2024.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Smarten

FEBRUARY 6, 2025

This visual development approach uses a graphical user interface (GUI) to support programmers as they build applications. No-Code solutions utilize visual drag-and-drop interfaces and require no coding, but rather are configured and implemented quickly, using the skilled application of tools and techniques.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

BizAcuity

NOVEMBER 13, 2024

Advanced analytics and predictive modeling are core offerings of BI consulting services, enabling organizations to move from descriptive reporting to proactive decision-making. Data Visualization and Dashboard Creation Complex datasets require intuitive visualization tools to make insights accessible.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

Smart Data Collective

SEPTEMBER 26, 2021

As data sets become bigger, it becomes harder to visualize information. Data visualization enables you to: Make sense of the distributional characteristics of variables Easily identify data entry issues Choose suitable variables for data analysis Assess the outcome of predictive models Communicate the results to those interested.

Metadata 130

Metadata Visualization Data mining Unstructured Data 130

Domino Data Lab

AUGUST 22, 2019

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

CIO Business Intelligence

OCTOBER 2, 2024

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. These can even be visualized in 3D, providing a clear and intuitive understanding of the physical environment.

IoT 123

IoT Internet of Things Predictive Modeling Data-driven 123

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. The reward is clear — properly analyzed datasets result in better models, faster.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. Big Data can efficiently enhance the ways firms utilize predictive models in the risk management discipline. In this modern age, each business entity is driven by data.

Big Data 145

Big Data Finance Risk Management Risk 145

CIO Business Intelligence

MAY 17, 2022

The new features include simplified self-service tools like Data Stories, smart suggestions through Einstein Discovery, and collaboration tools to work on shared data models. Tableau Cloud is available to customers today, with Data Stories and Model Builder set to be made available later in the year.

IT 98

IT Predictive Modeling Machine Learning Dashboards 98

Smarten

SEPTEMBER 30, 2024

We are here to help and to support your business goals and success!

Predictive Modeling 67

Predictive Modeling Dashboards Sales Visualization 67

datapine

DECEMBER 4, 2019

The commercial use of predictive analytics is a relatively new thing. The accuracy of the predictions depends on the data used to create the model. For instance, if a model is created based on the factors inherent at one company, it doesn’t necessarily apply at a second company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Cloudera

JANUARY 25, 2022

As roles within organizations evolve (as seen by the growth of citizen scientists and analytics engineers) and as data needs change (think schema changes and real-time), we need more intelligent ways to perform visual exploration, data interrogation, and share insights. Figure: Launch screen of the Flight Prediction AMP.

Visualization 91

Visualization Machine Learning Predictive Analytics Data-driven 91

Juice Analytics

MARCH 11, 2021

3) That’s where our data visualization and user experience capabilities helped them turn this data into a web-based analytical tool that focused users on the metrics and peer groups they cared about. There are many paths to consider: Visual representations that reveal patterns in the data and make it more human readable. Just kidding!

Visualization 128

Visualization Predictive Modeling Reporting Interactive 128

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It culminates with a capstone project that requires creating a machine learning model. Data Science Dojo.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

DataRobot

NOVEMBER 1, 2021

Practitioners in the AI space are focused on the speed and accuracy of model predictions. But the end game for the applicability of models is not in the predictions, but the decisions they enable, and predictive models alone don’t ensure better decisions. What Is Decision Intelligence?

Machine Learning 98

Machine Learning Manufacturing Predictive Modeling Optimization 98

Smarten

MARCH 18, 2019

That world exists today with the evolution of sophisticated, yet easy-to-use tools that include predictive analytics for business users, visual analytics software and tools, and self-serve data preparation.

Predictive Analytics 40

Predictive Analytics Visualization Software Analytics 40

DataKitchen

JUNE 19, 2023

Our customers start looking at the data in dashboards and models and then find many issues. The above image shows an example custom ‘data in use’ test of a predictive model and API. In our experience, the locus of those problems changes over time. The value here is improved end-user experienc e.

Testing 100

Testing Data Quality Metrics Cost-Benefit 100

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

FineReport

MAY 13, 2020

Although compared to the paid version, not all free BI tool provides stunning data visualization; they offer easy-to-understand charts that can meet your basic needs. It provides data scientists and BI executives with data mining, machine learning, and data visualization capabilities to build effective data pipelines. . From Google.

OLAP 105

OLAP KPI Data mining Business Intelligence 105

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. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

FineReport

APRIL 24, 2024

What is Data Visualization Understanding the Concept Data visualization, in simple terms, refers to the presentation of data in a visual format. By utilizing visual elements, data visualization allows individuals to grasp difficult concepts or identify new patterns within the data.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52