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.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. If there is no forward-looking predictive component to the use case, it can probably be addressed with analytics and visualizations applied to historical data.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

FineReport

APRIL 9, 2024

Visualizing Healthcare Data for Actionable Insights In addition to predictive analytics and data mining, healthcare data visualization plays a crucial role in empowering healthcare providers with real-time insights into patient conditions and treatment effectiveness.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Octopai

MAY 13, 2020

Each data system has its own metrics that new employees must familiarize themselves with. One of Octopai’s customers, a Seattle-based insurance quote provider operating in a data-rich environment, shared that before automating their tools, navigating their complex environment required input from many team members.

Metadata 52

Metadata Business Intelligence Visualization Insurance 52

CIO Business Intelligence

AUGUST 15, 2023

Mugunth Vaithylingam, CIO, College of Southern Nevada College of Southern Nevada Teams overseen by CSN CIO Mugunth Vaithylingam combined custom AI visuals, voice, and content to create this first-of-its-kind custom avatar, which is deployed and rendered from a web browser using client-side CPUs.

IT 88

IT Manufacturing IoT Cost-Benefit 88

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

DataRobot

JUNE 23, 2021

After adding the preferred code, teams can take advantage of the existing DataRobot capabilities, such as metrics, explainability, visualizations, deployment, monitoring, collaboration, and governance. It can even perform search for interactions and aggregate transaction data without introducing target leakage. Run AutoPilot.

Machine Learning 52

Machine Learning Experimentation Visualization Modeling 52

Jet Global

APRIL 5, 2021

Financial modeling involves combining key accounting, finance, and business metrics to build an abstract representation, or model, of a company’s financial situation. This exercise helps a company visualize its current financial position and predict future financial performance. What Is Financial Modeling? It also has predictive power.

Modeling 98

Modeling Forecasting Metrics Finance 98

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. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. nn_importances.tail(25).plot.barh(figsize=(10,12));

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

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. Identify the metric you want to influence through predictive analytics. What business metric determines the success of your organization?

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Domino Data Lab

SEPTEMBER 9, 2019

Typically, there are contracts (sales contracts, work agreements, partnerships), there are invoices, there are insurance policies, there are regulations and other laws, and so on. Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? part of speech. Cupertino GPE?

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

Jet Global

DECEMBER 22, 2021

As summarized earlier, an executive dashboard is a visual representation of certain key performance indicators (KPIs) that a business leader or group designates as most important to overall business objectives. At times when cash flow is a bit less of a concern, the CFO might choose to hide those metrics and focus on topline revenue instead.

Dashboards 52

Dashboards Key Performance Indicator Reporting Recreation/Entertainment 52

Sisense

DECEMBER 11, 2019

He outlined how critical measurable results are to help VCs make major investment decisions — metrics such as revenue, net vs gross earnings, sales , costs and projections, and more. Citing Tinder as a major example, Kyle explained how it constantly uses data to enhance users’ interactions and calibrate the user experience.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Domino Data Lab

JULY 28, 2021

Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions. These advances have had huge ramifications across industries ranging from finance and banking to healthcare and insurance.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Alation

AUGUST 26, 2021

Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. What will success look like?

Metadata 64

Metadata Data Governance Dashboards Software 64

Domino Data Lab

FEBRUARY 4, 2019

I double-dare you not to visualize that cohort! When execs at the company got their grubby paws on our analysis, two senior VPs spent an entire day pouring through pages of data visualizations and analysis. Interactive media plays a much larger role in our work than merely the presentations or blog posts. Or something.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. You know, companies like telecom and insurance, they don’t really need machine learning.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Coding skills – SQL, Python or application familiarity – ETL & visualization? Interestingly public sector might be low/behind but in pockets there is very advanced use cases.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52