FineReport

APRIL 24, 2024

Interactivity: Incorporating interactive features allows users to explore the data more deeply, gaining comprehensive insights from the visualizations. Moreover, interactive features in data visualization tools allow users to delve deeper into the data, exploring specific data points or segments with ease.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

FineReport

APRIL 21, 2024

This unified approach provides a comprehensive view of business performance metrics in one centralized dashboard, facilitating quick and well-informed decisions. With its drag-and-drop interface for creating interactive dashboards and reports, Looker empowers businesses to make informed decisions based on real-time insights.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

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. Predictive models to take descriptive data and attempt to tell the future. Just kidding!

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Hotels try to predict the number of guests they can expect on any given night in order to adjust prices to maximize occupancy and increase revenue. Data exploded and became big. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Insight

MARCH 18, 2019

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more. 5 is labeled as low.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

datapine

DECEMBER 4, 2019

Moreover, as most predictive analytics capabilities available today are in their infancy — they have simply not been used for long enough by enough companies on enough sources of data – so the material to build predictive models on was quite scarce. Last but not least, there is the human factor again.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Birst BI

OCTOBER 30, 2018

Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes. The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

IBM Big Data Hub

DECEMBER 20, 2023

Unsupervised machine learning Unsupervised learning algorithms—like Apriori, Gaussian Mixture Models (GMMs) and principal component analysis (PCA)—draw inferences from unlabeled datasets, facilitating exploratory data analysis and enabling pattern recognition and predictive modeling.

Machine Learning 75

Machine Learning Modeling Deep Learning Predictive Modeling 75

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

Business Over Broadway

SEPTEMBER 27, 2018

Figure 1 includes a good illustration of different data sets and how they fall along these two size-related dimensions (For the interested reader, check out the figure in an interactive graphic ). Analytics in these types of projects may be less valuable due to lack of generalizability (to the other customers) and poor models (e.g.,

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

CIO Business Intelligence

AUGUST 15, 2023

The scalable avatar can have hundreds of thousands of conversations individually and simultaneously, and is highly customizable and interactive in real-time, thereby providing an immersive experience for each user. And it yields multiple business metric improvements, such as limiting surplus inventory.

IT 93

IT Manufacturing IoT Cost-Benefit 93

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. You can hover over each box to get a sense of the key metrics. You get a confusing little thing, but the visualization is interactive. Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Let's look at some more.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

datapine

JANUARY 31, 2022

They then proceeded to analyze three areas: the employee selection and onboarding, the daily staff management, and finally the employees’ behavior and interactions in the restaurants. 5) Find improvement opportunities through predictions. The goals were multiple: revenue growth, customer satisfaction, and speed of service.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. You Can’t Always Trust What You See. Now, you can take this data even further by using BA.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

DECEMBER 3, 2023

You cannot present a comprehensive solution and set metrics for success if you don’t understand the issues. What problems will it solve? What opportunities does it present? Involving Stakeholders, Customers, Users, IT, etc. Do not work in a vacuum! in the discussion.

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

AWS Big Data

NOVEMBER 14, 2023

The same data foundation built on Kinesis Data Streams is used to continuously analyze how users interact with the generated content and helps the product team fine-tune the application. These services help customers bring data to their applications and models, making them smarter.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. Monitoring tools track performance metrics such as latency, throughput, and error rates.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

DECEMBER 3, 2023

As Springboard notes, ‘Augmented Analytics is an example of human machine interaction in the data science field.’ The augmented analytics solution is typically supported by natural language processing (NLP) to support users in the query and results process. What is self-service analytics? We should probably explain before we move on.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. PDPs for the bicycle count prediction model (Molnar, 2009). Creating a PDP for our model is fairly straightforward.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

DataRobot Blog

JANUARY 10, 2023

Now that we have set up the notebook environment, let’s explore the capabilities available in DataRobot Notebooks while walking through the process of training and deploying a readmissions prediction model end-to-end. Built-in Code Snippets and Interactive Visualizations to Accelerate Experimentation.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

Jet Global

MAY 1, 2023

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Embedded Analytics Drive Successful Consumer Applications Consumer web applications have transformed how people use and interact with data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Domino Data Lab

AUGUST 22, 2019

GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11. Interactive bokeh plot of two-dimensional word-vector data.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

OCTOBER 23, 2019

One of the things this data set doesn’t have, however, is a single metric to rank both offensive and defensive performance in a single statistic. A further diagnostic step is to plot the predicted values of the linear regression versus the actual values. In Figure 6.8, Defaults to 200""". return tweets. records = [].

Statistics 59

Statistics Machine Learning Testing Modeling 59