Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Forecasting. Access to Flexible, Intuitive Predictive Modeling. Trends and Patterns. Classification.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

IBM Big Data Hub

NOVEMBER 29, 2023

.” No-code and low-code solutions for time series data exploration IBM introduced Downer to the realm where no-code and low-code solutions could build predictive models to provide faster insights. Downer was able to streamline modeling times with watsonx.ai

Predictive Modeling 65

Predictive Modeling Data-driven Data Science Forecasting 65

DataRobot

OCTOBER 19, 2021

By leveraging prediction and augmented decision-making, governments can address the needs of taxpayers proactively while quickly adapting to evolving circumstances. Many available forecasts provide less than four weeks notice at the state and county level. reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

Smarten

SEPTEMBER 28, 2022

Plan and forecast accurately.’. Predictive Analytics utilizes various techniques including association, correlation, clustering, regression, classification, forecasting and other statistical techniques. Plan and forecast accurately. Customer Churn. Demand Planning. Product/Service Cross-Selling. Maintenance Management.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

IBM Big Data Hub

OCTOBER 5, 2022

Having the ability to build and use models in this way is fundamental to managing supply chain and financial risk through activities like “what-if scenario planning”, as explained in this blog post. Time matters too: your models must be quick to run, so analysis can be done before the assumptions are out-of-date.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. What does your economic forecast look like for the foreseeable future? Forecast realistic outcomes.

Uncertainty 94

Uncertainty Management Forecasting Predictive Modeling 94

Smarten

DECEMBER 5, 2022

Self-serve assisted predictive modeling provides recommendations and suggestions based on data volume, type and other parameters, so users will be directed to the appropriate analytical techniques and receive clear, concise results that are easy to understand and apply for confident decisions. ARIMAX Forecasting. Naïve Bayes.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

IBM Big Data Hub

APRIL 28, 2022

To truly understand the data fabric’s value, let’s look at a retail supply chain use case where a data scientist wants to predict product back orders so that they can maintain optimal inventory levels and prevent customer churn. How does a data fabric impact the bottom line?

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

Cloudera

APRIL 11, 2023

First Place: Forecasting Evapotranspiration With Kats and Prophet Danika Gupta ’s AMP checked all the boxes for the judges (see GitHub repository ). Second Place: Art Sale Price Prediction Model Of the winning submissions, this AMP was the lone project worked on by a team ( GitHub repository ).

Forecasting 72

Forecasting Machine Learning Recreation/Entertainment Sales 72

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. And it’s completely free!

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Sisense

JANUARY 26, 2020

Building an accurate predictive analytics model isn’t easy. Improve forecasts and maximize revenue. Just six months after implementing predictive analytics, their ecommerce sales increased by 50%! To answer more forward-looking questions, Gentex creates a sales forecast for an entire year using just a few months of data.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

DataRobot Blog

AUGUST 10, 2022

Snowflake provides a state-of the-art data platform for collating and analysing workforce data, and with the combined addition of DataRobot Solution Accelerator models, trusts can have predictive models running with little experimentation — further accelerated by the wide range of supportive datasets available through the Snowflake Marketplace.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

Jedox

APRIL 16, 2020

Dean Boyer as a guest to the Jedox Blog for our series on “Managing Uncertainty” Mr. Boyer is a Director of Technology Services at Marks Paneth LLP, a premier accounting firm based in the United States. What does your economic forecast look like for the foreseeable future? Forecast realistic outcomes.

Uncertainty 52

Uncertainty Management Forecasting Predictive Modeling 52

IBM Big Data Hub

SEPTEMBER 19, 2023

The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Smarten

JUNE 8, 2022

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Anticipating Machine Maintenance Needs.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Grasping the digital opportunity. Technology Alliance.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

Sisense

MARCH 7, 2021

Machine learning and predictive modeling allowed the company to use complex historical warranty claim and cost information, previous and new product attributes, and forecasting data to create a predictive data model for future warranty costs. Simple datasets just won’t cut it anymore. How does it work in real life?

Slice and Dice 98

Slice and Dice Data-driven Cost-Benefit Forecasting 98

IBM Big Data Hub

MAY 6, 2024

Enter the age of data-driven protocol assessment: using benchmarking tools and predictive modeling to gauge protocol intricacies and forecast eligible patient numbers, which then inform protocol adjustments. Ensuring early assumptions resonate with real-world execution is paramount.

Advertising 81

Advertising Data-driven Optimization Strategy 81

Smarten

JUNE 8, 2023

Working with real-time, clear, accurate information can make all the difference. Today’s business intelligence solutions provide mobile support for business users in an easy-to-use, self-serve environment, so every team member can participate in data analytics and use that data to perform their role and to make confident decisions.

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions.

B2B 65

B2B Interactive Optimization Forecasting 65

datapine

AUGUST 14, 2019

The example above shows us a visual of the drag and drop interface created in datapine for a 6 months forecast based on past and current data. Computational mathematics is in the heart of this language, typically used in algorithm development, modeling and simulation, scientific and engineering graphics, data analysis, and exploration.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Sisense

MARCH 24, 2020

Predict: Lastly, look to forecast trends in supply and demand and track fast-moving changes in leading indicators. To foster the art of the possible, below are examples of how regular businesses use analytics to maximize customer revenue, reduce costs, forecast outcomes, and drive efficiency. Insights over instinct.

Analytics 94

Analytics Sales Forecasting Business Intelligence 94

DataRobot Blog

JUNE 24, 2022

In addition, traditional analytical approaches are not flexible enough in generating alternative scenarios that allow investment analysts to test market shifts or to compare predictive-model outputs to the forecasts of traditional sources of market information. Forecasting the Real Estate Market Using DataRobot.

Forecasting 52

Forecasting Machine Learning Marketing Data-driven 52

Sisense

SEPTEMBER 9, 2019

We fed Kraken (BigSquid’s predictive analytics engine) information about historical warranty costs, claims, forecasts, historical product attributes, and attributes of the new products on the roadmap. Then we ran Kraken’s machine learning and predictive modeling engine to get the results. Lessons Learned.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

Smarten

JANUARY 27, 2023

Predictive Analytics – Your business users should not need to seek the advice of a data scientist to forecast and predict.

Analytics 52

Analytics Business Intelligence Predictive Modeling Predictive Analytics 52

IBM Big Data Hub

DECEMBER 20, 2023

Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e., Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms. Explore the watsonx.ai

Machine Learning 75

Machine Learning Modeling Deep Learning Predictive Modeling 75

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Users can apply predictive analytics to any use case using forecasting, regression, classification, clustering and other algorithms.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

DataRobot Blog

JULY 28, 2022

In this blog post, we would like to present some examples of actual cases in which noise reduction had a significant effect in real-world applications, and in which powerful features were obtained. At that time, I thought of a solution from the top team in a Data Science Competitions called Web Traffic Time Series Forecasting.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

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. appeared first on BI Blog | Data Visualization & Analytics Blog | datapine.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

MAY 30, 2023

It is also supported by advanced analytics components including natural language processing (NLP) search analytics, and assisted predictive modeling to enable the Citizen Data Scientist culture. Augmented Analytics products can help your business plan and forecast for success.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

IBM Big Data Hub

FEBRUARY 14, 2024

Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting. For example, a supply-chain function can use algorithms to predict future needs and the time products need to be shipped for timely arrival.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Cloudera

JANUARY 25, 2022

Instead of starting from scratch, Applied ML Prototypes (AMPs ) provides pre-built templates of many commonly used machine learning techniques such as time series forecasting, churn modeling, and anomaly detection. This blueprint the AMP provides can be used to modify any aspect of the project including the model.

Visualization 89

Visualization Machine Learning Predictive Analytics Data-driven 89

Jedox

JULY 23, 2019

If you are still skeptical, have a look at a few blogs written by Lance Rubin where he disrupted his own role. Paresh Mistry has published a blog which provides a good framework as a starting point. 3-way predictions or forecasts typically include the Income Statement, Balance Sheets and Cash Flow Statements.

Technology 52

Technology Forecasting Finance Data-driven 52

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. Banks and other financial institutions train ML models to recognize suspicious online transactions and other atypical transactions that require further investigation.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions. appeared first on IBM Blog.

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Smarten

DECEMBER 3, 2023

Solution capabilities included self-serve data preparation , smart data visualization and predictive analytics for forecasting, etc. Augmented Analytics Explained : As self-serve augmented analytics began to evolve, new tools and techniques were added, and business users now enjoy the expanded capabilities of predictive analytics.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Cloudera

SEPTEMBER 7, 2023

In this blog series, well dive into the advantages of Trusted AI and the broader ramifications of AI adoption, exploring how financial institutions can bootstrap and evolve their AI strategies, from initial steps to what mature AI adoption looks like. Track market trends. Step up to comprehensive cybersecurity.

Insurance 81

Insurance Risk Data-driven Finance 81