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. It helps to automate and makes the usage of the R programming statistical language easier and much more effective. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Data exploded and became big. We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. Data scientists also rely on data analytics to understand datasets and develop algorithms and machine learning models that benefit research or improve business performance.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

CIO Business Intelligence

JULY 24, 2023

Insights gleaned from Mediacoach are intended for technical staff—coaches and doctors, for example—but LaLiga has also created Beyond Stats, a portal powered by Mediacoach that packages and presents data for media and fans via a range of accessible dashboards. “We

Broadcasting 84

Broadcasting Recreation/Entertainment Testing Machine Learning 84

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. Each dataset has properties that warrant producing specific statistics or charts.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

O'Reilly on Data

MARCH 24, 2020

If you’re basing business decisions on dashboards or the results of online experiments, you need to have the right data. So when you’re missing data or have “low-quality data,” you use assumptions, statistics, and inference to repair your data. HoloClean performs this automatically in a principled, statistical manner.

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. BA primarily predicts what will happen in the future. See an example: Explore Dashboard. Confused yet?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

FineReport

APRIL 24, 2024

This simplification allows stakeholders to grasp the underlying patterns and trends within the data without getting lost in the complexity of raw numbers and statistics. Well-designed charts, infographics, and interactive dashboards create an immersive experience that draws viewers into the world of data analysis.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

DataRobot Blog

DECEMBER 1, 2022

For example, you could set up a data pipeline that delivers DataRobot predictions to HubSpot to automatically initiate offers within the business rules you set. You could also use the predictions to visualize a BI dashboard or report for your marketing managers to access. Training and Testing Different AI Models.

Machine Learning 52

Machine Learning Marketing Modeling Statistics 52

Birst BI

OCTOBER 30, 2018

The foundation of predictive analytics is based on probabilities. To generate accurate probabilities of future behavior, predictive analytics combine historical data from any number of applications with statistical algorithms. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

FineReport

MAY 29, 2020

The ‘data’ part is the statistics and data display. . Business understanding’ is realizing in-depth data analysis and smart data forecasting via analysis and prediction functions such as data mining, predictive modeling, and so on. The key to BI software is ‘data+business understanding.’ . Take FineReport as an example.

Reporting 94

Reporting OLAP Visualization Software 94

Cloudera

NOVEMBER 2, 2020

Mix of ad hoc exploration, dashboarding, and alert monitoring. These are end-to-end, high volume applications that are used for general purpose data processing, Business Intelligence, operational reporting, dashboarding, and ad hoc exploration. Tool for visualizing, dashboarding, and report building. 200,000 queries per day.

Data Warehouse 94

Data Warehouse Optimization Dashboards Interactive 94

Alation

APRIL 4, 2023

Expanded Integration with Databricks Unity Catalog Unity Catalog is Databricks ’ governance and admin layer for all lakehouse data and AI assets, including files, tables, ML models, and dashboards. Profiling delivers a birds-eye view of the statistics of the data, such as minimum, maximum, median, and null values.

Metadata 52

Metadata Cost-Benefit Data Transformation Predictive Modeling 52

datapine

DECEMBER 4, 2019

Without a doubt, it’s a big technological advancement, and one of the big statistics buzzwords, but the extent to which it is believed to be already applied is vastly exaggerated. 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.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Jet Global

MAY 9, 2024

Solutions like AWS Pipeline from Amazon and Logi Symphony from insightsoftware leverage automation and user-friendly dashboards to help ensure that datasets are available in the right format, at the right time, and in the right place for decision-making and analysis.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

JULY 3, 2017

It is important to note that the concept of citizen data scientists is not only about preparing data and creating reports or dashboards. Tools like plug n’ play predictive analysis and smart data visualization ensure data democratization and drastically reduce the time and cost of analysis and experimentation.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1]

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Jet Global

MAY 1, 2023

Their dashboards were visually stunning. In turn, end users were thrilled with the bells and whistles of charts, graphs, and dashboards. Yes—but basic dashboards won’t be enough. These users interact with dashboards and reports as well as personalized views of the information.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112