datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

APRIL 12, 2023

SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement. Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning. Prescriptive analytics is a type of advanced analytics that involves the application of testing and other techniques to recommend specific solutions that will deliver desired outcomes.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

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 321

Machine Learning Predictive Modeling Software Modeling 321

Smarten

DECEMBER 3, 2023

Maybe you just want to understand the analytics solution market better. So, you can ask, ‘Who sold the most bakery items in the Southwest region from September through November of 2022,’ and you will receive your results and can visualize your data in a way that makes sense to you and to your team. What is self-service analytics?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smarten

JULY 26, 2022

The Smarten mobile application provides intuitive dashboards and reports, stunning visualizations, dynamic charts and graphs and key performance indicators (KPIs). Users can share reports and data via WhatsApp, email, chat or other content sharing apps on mobile devices, encouraging information sharing and collaboration.

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

IBM Big Data Hub

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

DataKitchen

JANUARY 17, 2022

Customers and market forces drive deadlines and timeframes for analytics deliverables regardless of the level of effort required. Testing and validating analytics took as long or longer than creating the analytics. This large enterprise has many products and brands with overlapping marketing campaigns. Data is not static.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

FineReport

MARCH 31, 2024

Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly. These tools seamlessly connect and consolidate data from diverse sources, ensuring cleanliness, structure, and aggregation of data in various formats.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Smarten

JUNE 26, 2018

This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? Let’s conduct the Chi square test of independence using two variables: Gender and Product category. This analytical technique can be used for numerous purposes.

Testing 40

Testing Statistics IT Business Intelligence 40

CIO Business Intelligence

MARCH 5, 2024

CIOs and IT leaders are at the center and must decide what copilots to test, who should receive access, and whether experiments are delivering business value. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.

Cost-Benefit 113

Cost-Benefit Advertising Experimentation Software 113

Smarten

JUNE 29, 2018

This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? Let’s look at a sample of the Independent t-test on two variables. How Can the Independent Samples T Test Method Benefit an Organization?

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 17, 2022

After completion of the testing procedure, the certificate is provided to show that all requirements were met. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smarten

JUNE 29, 2018

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

APRIL 19, 2022

Sentiment Analysis can help you solve problems,” says Patel, ‘And it can identify opportunities and improve your brand image and competitive stance in the market.’. Smarten Sentiment Analysis provides a powerful Artificial Intelligence (AI) technique to analyze customer feedback, and understand attitudes about products, events, trends, etc.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. In this modern age, each business entity is driven by data. The Role of Big Data.

Big Data 141

Big Data Finance Risk Management Risk 141

DataRobot Blog

DECEMBER 1, 2022

With digital marketing spend projected to reach $692.3B 1 globally by 2024, companies should consider that more marketing does not necessarily lead to more customers acquisition. In a more traditional marketing approach, you’d take your customer list and segment it into distinct groups based on shared characteristics like region.

Machine Learning 52

Machine Learning Marketing Modeling Statistics 52

Juice Analytics

MARCH 11, 2021

At Juice, we’ve helped our clients launch dozens of data products that generate new revenue streams, differentiate their solutions in the market and build stronger customer relationships. 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

Smarten

NOVEMBER 8, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

Smarten

JUNE 10, 2022

Obviously, when it comes to your competitive market space, your business does not want to exist in that 68% of the pie chart! Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Assisted Predictive Modeling.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

CIO Business Intelligence

AUGUST 23, 2023

“You’re able to select a smaller number of stocks with predictive return and lower operational and transaction costs, which ultimately means that you can reduce the variability and more accurately predict returns,” Muthukrishnan says. It’s important for us to test the technology and be ready,” Muthukrishnan says.

IT 77

IT Machine Learning Risk Optimization 77

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. This training program is about classic data visualization principles? advanced techniques like applying data visualization principles to reports, slideshows, infographics, and dashboards. What’s Included. We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40

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. The 12-week data management course covers Python, data quality, data visualization, GDRP, and database management.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

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.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

DataRobot Blog

JUNE 24, 2022

That traditional approach normally included analyzing how real estate property assets performed in the past but also often looking for market trends. Recent examples include the pandemic shock, which led to a temporary market freeze, followed by a demand and supply imbalance that brought to unexpected rises in real estate prices.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Running on neural networks , computer vision enables systems to extract meaningful information from digital images, videos and other visual inputs.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Smarten

NOVEMBER 3, 2017

Business users can quickly and easily prepare and analyze data and visualize and explore data, notate and highlight data and share data with others to identify the important ‘nuggets’, buried in traditional data, and to connect the dots, find exceptions, identify patterns and trends and better predict results.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Smarten

JULY 3, 2017

When an enterprise selects a self-serve business intelligence solution with Advanced Data Discovery , Smart Data Visualization , Plug n’ Play Predictive Analysis and Self-Serve Data Preparation , it can create an environment where business users are empowered and become greater assets to the organization.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Jet Global

SEPTEMBER 1, 2023

In this modern, turbulent market, predictive analytics has become a key feature for analytics software customers. Predictive analytics refers to the use of historical data, machine learning, and artificial intelligence to predict what will happen in the future.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Smarten

JUNE 25, 2018

KMeans Clustering can be applied to segment customers by purchasing history, segment users by the activities they perform on a website, define demographic profiles based on interests, and recognize market patterns. Business Benefit: Once the segments are identified, marketing messages and even products can be customized for each segment.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 21, 2018

Because the results are smoothed, and the user can select the best option for the TYPE of data to be analyzed, the enterprise can avoid assigning too much weight or importance to older data that may no longer be as valid because of changing buying behaviors, market competition or other factors. 3) Triple Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 28, 2018

This type of analysis can be applied to segment customers by purchase history, segment users by the types of activities they perform on websites or applications, to develop consumer profiles based on activities or interests, and to recognize market segments, etc. How Does and Organization Use Hierarchical Clustering to Analyze Data?

IT 40

IT Business Intelligence Predictive Modeling Risk 40

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 93

IT Manufacturing IoT Cost-Benefit 93

Sisense

SEPTEMBER 25, 2020

No matter your skill, career level, or title, the ability to analyze, organize, and visualize data are vital skills in our world of quickly growing and ever-changing data. Linear regression is a form of supervised learning (or predictive modeling). Y_train and y_test is the target variable of the training and test datasets.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98