David Menninger's Analyst Perspectives

JANUARY 24, 2023

However, manual modeling is a time-consuming process and results in a limited number of models and tests. Developing accurate forecasts requires integrating exogenous data with the internal performance data, but it’s challenging to find quality external data and then get that raw data clean enough to input into any model.

Forecasting 130

Forecasting Analytics Machine Learning Testing 130

Jen Stirrup

FEBRUARY 9, 2024

For example, India is also using AI to enhance weather forecasting and climate modelling. The Indian government is testing AI-powered climate models to improve weather forecasts across the country [3]. Artificial Intelligence is one way forward to tackling the issues of climate change.

Forecasting 104

Forecasting Measurement Testing Technology 104

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 122

Data Science Machine Learning Predictive Modeling Experimentation 122

Corinium

JUNE 6, 2019

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. It is also important to have a strong test and learn culture to encourage rapid experimentation. Therefore, understanding customers for cross and up-sell is paramount.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Rocket-Powered Data Science

SEPTEMBER 25, 2022

All phases of the MVT process are discussed: strategy, designs, pilot, implementation, test, validation, operations, and monitoring. 2) Streaming sensor data from the IoT (Internet of Things) and IIoT (Industrial IoT) become the source for an IoC (Internet of Context), ultimately delivering Insights-aaS, Context-aaS, and Forecasting-aaS.

Diagnostic Analytics 214

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 214

datapine

MAY 2, 2023

Your Chance: Want to test a professional logistics analytics software? Your Chance: Want to test a professional logistics analytics software? Domino’s Pizza, for instance, uses operational demand forecasting to deliver on its ‘ 30 minutes or less’ policy – a USP that has cemented the brand’s success in a saturated marketplace.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

bridgei2i

JULY 15, 2020

Are you curious about a New-Age Forecasting System that builds and improves your organizations’ ability to sense changes and disrupt the market? Check out our New-Age Demand Forecasting & Planning Whitepaper! Read it Here. Author: Nitin Bhatt & Prabuddha J.

Testing 52

Testing KPI Risk Management Measurement 52

DataKitchen

AUGUST 24, 2023

Five Pillars of Data Journeys Data Journey First DataOps The Terms and Conditions of a Data Contract are Data Tests “You Complete Me,” said Data Lineage to Data Journeys.

Data-driven 130

Data-driven Forecasting Metrics Dashboards 130

CIO Business Intelligence

JULY 5, 2022

Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics is the application of testing and other techniques to recommend specific solutions that will deliver desired business outcomes. Business analytics salaries.

Business Analytics 132

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 132

Smarten

JUNE 27, 2023

One of the most important analytical processes your users will employ is predictive analytics for planning and forecasting. In order to get the most out of a self-serve analytical solution, your team members will leverage many types of tools.

Predictive Analytics 52

Predictive Analytics Analytics Forecasting Testing 52

IBM Big Data Hub

NOVEMBER 10, 2023

Once the review of the organization’s current system, workflow, and everyday functions are assessed it’s time to select the right ERP system that meets your business requirements, such as budget forecasting and pricing. Once loaded into the new system and formatted correctly, your first ERP test can be performed.

Enterprise 121

Enterprise Consulting Testing Cost-Benefit 121

CIO Business Intelligence

DECEMBER 11, 2023

For example, by tapping into real-time data with AI-enabled analytics, CFOs will be able to develop multiple scenarios for capital allocation, offering more forward-looking projections and more accurate forecasts.

Finance 100

Finance Forecasting IoT Predictive Modeling 100

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method. 2) Double Exponential Smoothing Use Case.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

DataRobot

OCTOBER 19, 2021

Many available forecasts provide less than four weeks notice at the state and county level. Additionally, these forecasts often miss surges in community transmission until it is too late to change course. Traditional predictive models do not account for anomaly detection on data reporting issues (e.g., reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

AWS Big Data

FEBRUARY 1, 2023

This enabled the teams to generate the optimal plan to place purchase orders for devices by analyzing the different datasets in near-real time with appropriate business logic to solve the problems of the supply chain, demand, and forecast. This will make launching and testing models simpler.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The BI (business intelligence) analysts need to find the right data for their visualization packages, business questions, and decision support tools — they also need the outputs from the data scientists’ models, such as forecasts, alerts, classifications, and more. That’s data democratization. That’s insights democratization.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

AWS Big Data

MARCH 12, 2024

In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset. Dataset details The test dataset contains 104 columns and 1 million rows stored in Parquet format. You can download the dataset or recreate it locally using the Python script provided in the repository.

Data Quality 87

Data Quality Measurement Testing Visualization 87

Jet Global

JANUARY 4, 2021

Planners began to integrate functional and departmental plans into their own forecasts. Coronavirus was a frighteningly effective stress test in many ways for organizations’ resilience. Speed was one of the main qualities tested. Planners began tying operational plans and scenario planning together for better forecasts.

Forecasting 98

Forecasting Finance Testing Sales 98

DataRobot

OCTOBER 18, 2021

They designed experiments that tested real-life human behaviors against those expected from economic theory. There is a wealth of research showing again and again that evidence-based algorithms are more accurate than forecasts made by humans. Haggling isn’t the only way that humans don’t behave the way that economic theory suggests.

Forecasting 145

Forecasting Digital Transformation Cost-Benefit Data-driven 145

CIO Business Intelligence

JULY 18, 2023

It was when Nvidia reported strong results for the three months to April 30, 2023, and forecast that its sales could jump by 50% in the following fiscal quarter, that its stock market valuation soared, catapulting it into the exclusive trillion-dollar club alongside well-known tech giants Alphabet, Amazon, Apple, and Microsoft.

Manufacturing 98

Manufacturing Forecasting Software Marketing 98

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Importance of machine learning in forecasting cryptocurrency prices. However, trend forecasting appears to be much more effective at gauging the direction of cryptocurrency prices.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

IBM Big Data Hub

NOVEMBER 29, 2023

Forecasts indicate that water scarcity will present a greater challenge in meeting long-term sustainability goals as the climate continues to change. Next steps The Arup and IBM team see this proposed methodology as a viable solution that should be tested in the real water trading market.

Forecasting 81

Forecasting Marketing Testing Reporting 81

CIO Business Intelligence

FEBRUARY 20, 2024

There’s a clear role for generative AI applications like Microsoft Copilot to help customer segmentation and forecasting as well as in generating creative marketing and sales collateral that engages target audiences,” says Nall. Visit: [link] Avanade is attending Hanover Messe 2024.

Manufacturing 94

Manufacturing Sales Risk Management Forecasting 94

Smarten

DECEMBER 5, 2022

Paired Sample T Test. ARIMAX Forecasting. Chi Square Test. ARIMA Forecasting. Holt-Winters Forecasting. Independent Sample T Test. Multiple Linear Regression. Hierarchical Clustering. Outlier Analysis. KMeans Clustering. Gradient Boosting. Isotonic Regression. Spearman’s Rank Correlation. KNN Classification.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

Smart Data Collective

OCTOBER 8, 2021

Modern machine learning and back-testing; how quant hedge funds use it. Similarly, hedge funds often use modern machine learning and back-testing to analyze their quant models. Here, the models get tested using historical data to evaluate their profitability. Methods of Algo-trading, machine learning tests, back-tests.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113

DataKitchen

AUGUST 27, 2021

Figure 3 shows various data sources and stakeholders for analytics, including forecasts, stocking, sales, physician, claims, payer promotion, finance and other reports. The Otezla team built a system with tens of thousands of automated tests checking data and analytics quality. DataOps Success Story. Has the data arrived on time?

Analytics 246

Analytics Sales Testing Cost-Benefit 246

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Retail supply chains are a recognized and proven source of ROI when data analytics are leveraged to improve forecast accuracy and product availability.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

datapine

OCTOBER 11, 2023

By analyzing historical demand, they can forecast the inventory level they will need and avoid having high levels of unsold products. Just like with the previous KPI, applying forecasting technologies to predict demand and streamlining your inventory management strategies is a good way to keep this rate in check.

Metrics 217

Metrics KPI Management Cost-Benefit 217

CIO Business Intelligence

DECEMBER 13, 2023

Certinia is using predictive AI to deliver more precise forecasts of cash flow and days to pay, based on analyses of trends in customer payments, and to forecast how many days it will take to staff resource requests, help enterprises keep projects on schedule, or to manage their customers’ expectations when things fall behind. “We

Finance 76

Finance Forecasting Uncertainty Sales 76

IBM Big Data Hub

SEPTEMBER 1, 2022

A national blood service, and long-time Planning Analytics client, has started implementing a financial planning solution to better plan, forecast and analyze the cash flow needs and improve reporting to the leadership team and Board of Directors. Financial and supply planning for a national blood service organization.

Forecasting 52

Forecasting Manufacturing Cost-Benefit Reporting 52

AWS Big Data

APRIL 17, 2023

We have built data pipelines to process, aggregate, and clean our data for our forecasting service. Use case Our forecasting and recommendation algorithm is fed with historical data, which needs to be curated, cleaned, and aggregated. Similarly, we replaced the read and write operations to rely on Apache Spark APIs.

Forecasting 78

Forecasting Cost-Benefit Optimization Testing 78

CIO Business Intelligence

DECEMBER 14, 2023

AI and machine learning (ML) can do this by automating the design cycle to improve efficiency and output; AI can analyze previous designs, generate novel design ideas, and test prototypes, assisting engineers with rapid, agile design practices.

Manufacturing 140

Manufacturing Cost-Benefit Unstructured Data Optimization 140

DataRobot Blog

AUGUST 18, 2022

Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. Retailers and manufacturers that incorporate AI in supply chain management greatly enhance their ability to forecast demand, manage inventory, and optimize price. Application of AI in Supply Chain.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

Smart Data Collective

JULY 9, 2023

Optimizing Conversion Rates with Data-Driven Strategies A/B Testing and Experimentation for Conversion Rate Optimization A/B testing is essential for discovering which version of your website’s elements are most effective in driving conversions.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73