Forecasting uncertainty at Airbnb

O'Reilly on Data

Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. Continue reading Forecasting uncertainty at Airbnb

How to forecast stock on hand


Yet, without the ability to accurately forecast stock on hand, keeping optimal stock levels can be a challenge. The ability to deliver orders in full and on time (DIFOT) is essential to keeping satisfied customers.

Webinar: Data-Driven Approaches to Forecasting


Whether it’s demand forecasting, supply chain management, or any other application, getting it right requires balancing the need for performance with the constraints of implementation and complexity. Learn more in this free webinar, Data-Driven Approaches to Forecasting, Sep 26. 2019 Sep Webcasts & Webinars Forecasting Metis

5 Tips for High Quality Finance Forecasting


A high-quality business forecast delivers far more than just numbers. Finance professionals regularly try to look in their crystal ball with forecasts and enable the company to have seamless, solid planning. For this to succeed, your forecast must be of high quality.

Crucial KPIs for Your Growing Company: 7 Principles & 35 Metrics Every SMB Needs

Planning & Forecasting in the Age of AI


Forecasting and planning are some of the very oldest use cases of modern statistics - businesses as far back as the 1950s used computer-based modeling to anticipate risks and make decisions. data science supply chain forecasting

Using Business Intelligence in Demand Forecasting

Jet Global

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Using Business Intelligence in Demand Forecasting

Jet Global

One of those areas is called predictive analytics, where companies extract information from existing data to determine buying patterns and forecast future trends. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Hey Siri, What’s My Forecasted EBITDA Look Like?


Even though we have so much advanced technology surrounding us, we still cannot just ask, “ Hey Siri, what’s my forecasted EBITDA look like ?” Many of the algorithms used for budgeting, planning, and forecasting are already in use and were proven decades ago. The first, and probably most popular area, is time-based forecast and prediction. The post Hey Siri, What’s My Forecasted EBITDA Look Like?

Increased Sell-Through Accuracy Using Forecasting Engine


Increased Sell-Through Accuracy Using Forecasting Engine. The client, a Fortune 500 global enterprise technology hardware manufacturer, was generating about 50,000 different forecasts at a monthly level from its distributor network spread across 120 countries. Using sophisticated Demand Planning software could only provide a 3-month accuracy of about 45% however, the client needed improved accuracy and a more powerful demand forecasting application. Case study.

What is ARIMA Forecasting and How Can it Be Used for Enterprise Analysis?


This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? ’ The ARIMA model is suggested for short term forecasting. The ARIMA forecasting technique uses three primary parameters for analysis within the model.

What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?


This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? To understand ARIMAX Forecasting, let’s look at an example of annual GDP values in India.

What is the Holt-Winters Forecasting Algorithm and How Can it be Used for Enterprise Analysis?


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.

Demand Forecasting Using Traditional and Contemporary Data Science


Dissatisfied with your demand forecasts? Instead of giving up on them completely, try reconsidering the methods you use. Here, we describe the approaches that will definitely work: traditional and contemporary data science

Machine learning-based Sell-In Forecasting for Consumer Electronics


Machine learning-based Sell-In Forecasting for Consumer Electronics. With over 2000 products and a channel-focused Supply Chain planning approach, our Client wanted accurate Supply Chain Forecast for optimal product-availability within 8-week lead-times. With a target of a 10% Accuracy Value-Add, it was imperative to explore new-age forecasting methods based on Machine Learning. Our Forecasting Engine is a Proven Tool to Improve Visibility. Case study.

Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)


In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting.

Predictive Analytics Use Cases: Envision Success with Comprehensive Planning and Forecasting!


Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So what did "forecasting" not mean to us?

Sales Bookings Forecasting Engine for a Global Cloud and Virtualization Major


Sales Bookings Forecasting Engine for a Global Cloud and Virtualization Major. Our client, a global cloud and virtualization major, was looking to achieve a B2B revenue forecast from disparate sources—several tiers of the organization, a dynamic competitor landscape and varying density of data and mix of products at different life stages. The sophisticated sales hierarchy necessitated multiple revenue forecasts at different levels. Case study.

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The Importance of Planning and Forecasting in BI

Paris Technologies

The budgeting and forecasting process for most organizations is long and tedious and occurs on an annual basis, at least. Companies try to do it more often to improve accuracy and aim to ultimately implement a procedure for continuous planning or rolling forecasts. Unlike any other business process, budgeting and forecasting is unique because it is […].

Oracle Planning: Driver-based Rolling Forecast at #Kscope18

Perficient Data & Analytics

Rolling forecasts in healthcare are challenging because Key Performance Indicators (KPIs) are unique to each organization and market conditions are ever changing. The new rolling forecast model delivers several advantages: Flexible, driver based calculations. Several versions of the forecast can be saved. KSCOPE18 Session: Case Study: Implementing one of its kind driver based rolling forecast model at MD Anderson Cancer Center using Hyperion Planning with ASO integration.

Are spreadsheets really the best tools for financial planning and forecasting?

IBM Big Data Hub

Learn more in this webinar how predictive technologies can improve the accuracy of your own planning and forecasting Still using spreadsheets for financial planning?

Big Data Forecast: Cloudy, with Increasing Chances of Success (Part 1)


Tune in for Part 2 of 3, coming soon… The post Big Data Forecast: Cloudy, with Increasing Chances of Success (Part 1) appeared first on Cloudera Blog. Today, public cloud is a compelling proposition for businesses and government organizations seeking to be more agile. Increasingly, self-service is seen as the most effective way to scale user access to data for analytics and operations.

All About Machine Learning with Oracle Analytics

Perficient Data & Analytics

Data & Analytics Oracle Augmented Analytics BI Classification clustering Data Flow Data Preparation Explain forecast machine learning ML OAC obiee oracle analytics Oracle Analytics Cloud Outlier Detection Prediction predictive sentiment analysis

DataRobot and Kx Partnership: Modernizing the Financial Markets with AI-Driven Forecasting


Competition throughout the financial markets is becoming more intense and top-line growth is becoming more challenging than ever to achieve.

Target: Process Optimization


This means more and more requirements to extract insight and value from data will be added to the areas of planning and forecasting. In particular, the creation of future-oriented scenarios as well as the preparation of corresponding business plans and forecasts.

Predictive Model Ensembles: Pros and Cons

Perficient Data & Analytics

Data & Analytics Digital Transformation AI analytics digital transformation Forecast Modeling machine learning predictive analyticsMany recent machine learning challenges winners are predictive model ensembles. We have seen this in the news.

Planning in Excel: 3 Key Areas to Enhance Your Experience


Budgeting, Planning & Forecasting using Excel remains one of the most commonly used methods by FP&A professionals. Collaboration happening offline for budgeting, planning, and forecasting is an immensely time-consuming task.

Planning in Excel: How to Make it Better


For most finance professionals, Excel has long been the gold standard for budgeting, planning, and forecasting. In a 2018 survey , 80% of organizations reported they are still reliant on Excel for their budgeting, planning, and forecasting and almost as many reported that non-integrated systems present a challenge. Why not take advantage of solutions that integrate all data streams and cut your forecasting time dramatically?

An Open Letter To The CFO on FP&A


Thought Leadership Budgeting and Forecasting CFO Enterprise planning Financial Performance Integrated Planning Sales PlanningDear CFO, We heard that you put FP&A on your list of top priorities to work on. We understand that you’re not satisfied with the return on investment you’re getting from the department. You told us that there is too much data, reporting, and analysis and too few real insights that change decisions for the better.

Why Transforming Your FP&A Matters


How can you best support your FP&A team so they can improve their budgeting, forecasting, and planning? Thought Leadership Budgeting and Forecasting CFO CPM Enterprise planning Integrated Planning Performance Management Sales Planning“Transformation!” ” is the clear message from Chief Financial Officers. To do that we must address the mindset of the entire FP&A team.

How To Reinvent Your FP&A Process


Crystal Ball: Develop an integrated budgeting and forecasting process so you can move from data gathering/reporting to insights/analysis. Take one of your processes (budgeting or forecasting would be the obvious choice). Thought Leadership Budgeting Budgeting and Forecasting Business Intelligence CPM Financial Performance Performance ManagementThere has been a lot of talk about changing FP&A processes yet little real action in this area. Budgeting?

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A Framework for the New FP&A Department


The classical tasks of budgeting, forecasting and planning will remain, but a lot of it will be done by algorithms which are much more accurate at forecasting than humans. Re-forecasting and fast reactions to external events will replace obsessive budgeting. Thought Leadership Budgeting Enterprise planning Financial Performance Forecasting FP&A Performance Management

How Technology Will Change FP&A Forever


3-way predictions or forecasts typically include the Income Statement, Balance Sheets and Cash Flow Statements. These forecasts are more aligned to financial modeling, rather than analytics as they include the balance sheet positions, cash flows and profitability in an integrated manner. Thought Leadership Budgeting and Forecasting CPM Financial Performance Integrated Planning Sales Planning technology

How to Transform Your FP&A Plan


Thought Leadership Budgeting and Forecasting Business Intelligence CFO Data Modeling Financial Performance FP&AFinance professionals generally tend to be risk averse. Transforming your FP&A plan will not be an easy task, but it must be addressed as it is a top priority for the CFO to better support delivering on the expectations from the CEO. In today’s world where technology changes are rampant and society’s expectations of new ideas and stimulation is at a rate not seen before.

How To Revolutionize The FP&A Professional


Thought Leadership Budgeting and Forecasting CFO CPM Enterprise planning Financial Performance FP&A technologyThe CFO has made FP&A a top priority as previously described , wanting significantly more value from the investments made in this function. To achieve this, FP&A must also do things differently otherwise we cannot expect different outcomes. To do something differently, new skills are needed. You could say we need to revolutionize the FP&A professional.

Streamlining the Manufacturing and Automotive Treasury Function

Perficient Data & Analytics

ORGANIZATIONAL PROFITABILITY, FORECASTING, AND REPORTING. The strategic vision of the manufacturing and automotive treasury function is to deliver efficiency, control, and scalability.

What Are Data Trends and Patterns, and How Do They Impact Business Decisions?


The business can use this information for forecasting and planning, and to test theories and strategies. For example, the decision to the ARIMA or Holt-Winter time series forecasting method for a particular dataset will depend on the trends and patterns within that dataset.

Essential in the Airline Industry: Vision and Commitment

Perficient Data & Analytics

It could be about implementing a new revenue-management system that helps airlines better forecast and optimize revenue. While the term “business transformation” has been floated around for decades, digital and the deployment of modern technology remain the cornerstone of today’s investment decisions. Customer expectations have changed greatly in recent years.

Using Machine Learning in the Financial Services Industry


There are many applications that usually revolve around either forecasting or information extraction. Financial forecasting is as old as the industry itself. Analysts try to forecast stock movements or even specific line items to make recommendations to their customers.

Key Strategic Initiatives in the Airline Industry

Perficient Data & Analytics

If you listen closely to industry executives, you’ll note that many of them typically hone in on several key strategic initiatives. Naturally, there’s a crossover between them, and each one can affect the other. Operational performance or operational reliability is one. Customer satisfaction, customer loyalty, or brand strength is another. Last but not least are cost-cutting and technology investments. Airlines are focused less on market share and more on their overall profitability.

Operational Performance and Reliability in the Airline Industry

Perficient Data & Analytics

Operational performance (or operational reliability) is about running an airline like a well-oiled machine. Pun intended. It’s about on-time performance and completion rates. It’s about reducing involuntary denied boardings and the rate of mishandled bags. It’s ensuring that continuous improvements and efficiencies are always in motion. A smoothly run airline enhances customer perception, satisfaction, and loyalty.

[Guide] 2018 State of the Airline Industry

Perficient Data & Analytics

The airline industry is scrutinized by passengers and analysts alike, mostly for two reasons. One, many people take one or more flights a year and have personal experiences that leave lasting impressions. Two, the industry’s economic impact is unprecedented. According to the Federal Aviation Administration (FAA), “Aviation accounts for more than 5% of our [United States] Gross Domestic Product, contributes $1.6 trillion in total economic activity and supports nearly 11 million jobs.”