Smarten

APRIL 17, 2018

How Can Assistive Predictive Modeling Help My Business Users? Plug n’ Play Predictive Analysis offers easy-to-use navigation, drag and drop flexibility and personalized dashboard capabilities, so every user in the organization can plan and make decisions, share data, analyze and make decisions with confidence.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Smarten

JUNE 10, 2022

Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Predictive Modeling to support business needs, forecast, and test theories. Dashboards. Assisted Predictive Modeling. Business Intelligence.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Paul Blogs on BI

MARCH 25, 2020

This first metric requires people to be tested and, as we all know, that is only possible in places where testing is available (and confirmation takes a few days) and only a fraction of people have been tested. As more testing becomes available this first metric will increase significantly.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

IBM Big Data Hub

SEPTEMBER 19, 2023

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

Birst BI

OCTOBER 30, 2018

The credit scores generated by the predictive model are then used to approve or deny credit cards or loans to customers. A well-designed credit scoring algorithm will properly predict both the low- and high-risk customers. Integrate the data sources of the various behavioral attributes into a functional data model.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

DataKitchen

SEPTEMBER 21, 2023

In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets. Running these automated tests as part of your DataOps and Data Observability strategy allows for early detection of discrepancies or errors.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

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

Smarten

NOVEMBER 3, 2017

The tools exist today for augmented analytics, augmented data discovery, self-serve data preparation and other features and modules that provide sophisticated functionality and algorithms in an easy-to-use dashboard and environment that is designed to support business users, as well as data scientists and IT staff.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Birst BI

MAY 29, 2018

Today, the BI assembly line is highly dependent on several job roles with different skill sets working together to deliver a report or analytic dashboard to a business user to facilitate better decision making. Figure 6: Amazon Machine Learning to build and deploy Predictive Models.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

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 325

Machine Learning Predictive Modeling Software Modeling 325

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

Cloudera

SEPTEMBER 7, 2023

Create dashboards that highlight project milestones, challenges, and advancements, ensuring stakeholders stay informed and provide input. Formalize ethics and bias testing. Develop and implement automated tests to identify biases in AI models, ensuring that models align with ethical standards and fairness criteria.

Insurance 79

Insurance Risk Data-driven Finance 79

CIO Business Intelligence

AUGUST 15, 2023

In partnership with OpenAI and Microsoft, CarMax worked to develop, test, and iterate GPT-3 natural language models aimed at achieving those results. The CarMax team also gathered, scrubbed and formatted data from thousands of vehicles to feed into the models, fine-tuning them as the project advanced.

IT 91

IT Manufacturing IoT Cost-Benefit 91

Occam's Razor

JANUARY 7, 2019

Eliminate 40% of the numbers from your dashboard. Bonus, with actionable ideas: Smart Dashboard Modules. ). There is too much goodness in modeling that you are not taking advantage of. Take the newly-created white space to explain what to do based on performance of 60% of the numbers that remain. Don't leave her guessing.

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. 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.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Smarten

JULY 26, 2022

.” Business Users have access to dashboards, reports and Clickless Analytics – Google-type Natural Language Processing (NLP) Search functionality. The Smarten mobile application provides intuitive dashboards and reports, stunning visualizations, dynamic charts and graphs and key performance indicators (KPIs).

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

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

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. When I'm creating a dashboard for a high level view, I would take the Treemap above and combine it with the one below that illustrates the amount of Goal Value delivered by each source. Short story #2: Predictive Modeling, Quantifying Cost of Inaction.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Cloudera

JANUARY 25, 2022

2021 to move beyond the traditional dashboards of the past. Dashboards often look in the rearview mirror, focusing on historical data and not on future insights – ie, predictive analytics. . This blueprint the AMP provides can be used to modify any aspect of the project including the model.

Visualization 87

Visualization Machine Learning Predictive Analytics Data-driven 87

Depict Data Studio

SEPTEMBER 17, 2019

advanced techniques like applying data visualization principles to reports, slideshows, infographics, and dashboards. You’ll think about which format–a report, dashboard, infographic, one-pager, etc.–is This training program is about classic data visualization principles? practical software how-tos? I took seminars.

Visualization 40

Visualization Consulting Dashboards Reporting 40

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. Another increasing factor in the future of business intelligence is testing AI in a duel.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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. Advanced Data Discovery allows business users to perform early prototyping and to test hypothesis without the skills of a data scientist.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

FineReport

MARCH 31, 2024

Through meticulous testing and research, we’ve curated a list of the ten best BI tools, ensuring accessibility and efficacy for businesses of all sizes. Additionally, they visually represent extensive datasets to reveal trends and patterns, ultimately delivering insights through reports or dashboards to key stakeholders.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Smarten

OCTOBER 31, 2022

With an integrated, mobile approach to BI tools, business users can leverage personalized dashboards, multidimensional key performance indicators, and KPI tools, report software, Crosstab & Tabular reports, GeoMaps and deep dive analytics and enjoy Social BI and collaboration. What-If Analysis to test pricing, budget and cost information.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

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. ” One of his more egregious errors was to continually test already collected data for new hypotheses until one stuck, after his initial hypothesis failed [4]. Let’s get everybody to do X.

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

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

Jet Global

SEPTEMBER 1, 2023

Data-Driven Decision Making: Embedded predictive analytics empowers the development team to make informed decisions based on data insights. By integrating predictive models directly into the application, developers can provide real-time recommendations, forecasts, or insights to end-users.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52