O'Reilly on Data

MARCH 28, 2019

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

Uncertainty 144

Uncertainty Forecasting Metrics 144

Phocas

MAY 23, 2019

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.

Forecasting 184

Forecasting Optimization Business Intelligence 184

KDnuggets

JANUARY 9, 2020

Time series analysis will be the best tool for forecasting the trend or even future. So let us understand this concept in great detail and use a machine learning technique to forecast stocks. 2020 Jan Tutorials, Overviews Analysis Finance Forecasting Stocks Time SeriesThe trend chart will provide adequate guidance for the investor.

Forecasting 63

Forecasting Marketing Machine Learning Finance 63

KDnuggets

SEPTEMBER 19, 2019

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

Forecasting 64

Forecasting Data-driven Management IT 64

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Expert advice for SMBs to help drive the right results, including: principles to making good decisions quickly, why you need leading and lagging indicators to improve your odds of success, and how to use interlocking KPIs to improve company alignment.

Metrics

Jedox

OCTOBER 24, 2019

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.

Forecasting 56

Forecasting Finance Risk Sales 56

DataFloq

JANUARY 28, 2020

The financial forecasting process is one of the least liked aspects of business. Machine learning is making many business processes much easier.

Forecasting 158

Forecasting Machine Learning Marketing Technology 158

Jet Global

JULY 11, 2019

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.

Forecasting 80

Forecasting Business Intelligence Predictive Analytics Data Warehouse 80

BizAcuity

MAY 7, 2019

To cater to these fast-changing market dynamics, the practice of demand forecasting began. Today, several businesses, especially those belonging to the FMCG sector, have sophisticated demand forecasting models in place, which help them stay ahead of the market.

Forecasting 83

Forecasting IT Sales Statistics 83

Jet Global

OCTOBER 1, 2019

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.

Forecasting 52

Forecasting Business Intelligence Predictive Analytics Data Warehouse 52

Jedox

SEPTEMBER 11, 2019

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?

Forecasting 43

Forecasting Experimentation Finance Unstructured Data 43

bridgei2i

JULY 4, 2019

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.

Forecasting 40

Forecasting Manufacturing Modeling Machine Learning 40

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective. Our team does a lot of forecasting. For high stakes, strategic forecasts, my answer is: yes!

Forecasting 80

Forecasting Uncertainty Statistics Finance 80

Smarten

JUNE 26, 2018

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.

Forecasting 52

Forecasting Sales Business Intelligence Predictive Modeling 52

IBM Big Data Hub

FEBRUARY 19, 2020

When providing care for the elderly, you have a tremendous responsibility to your residents and their families.

Forecasting 58

Forecasting 58

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? To understand ARIMAX Forecasting, let’s look at an example of annual GDP values in India.

Forecasting 52

Forecasting Business Intelligence Predictive Modeling Statistics 52

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.

Forecasting 52

Forecasting Predictive Modeling Insurance Advertising 52

ScienceSoft

FEBRUARY 21, 2019

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

Forecasting 52

Forecasting Data Science 52

Jedox

JANUARY 29, 2019

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.

Forecasting 70

Forecasting Predictive Analytics Sales Prescriptive Analytics 70

bridgei2i

JULY 4, 2019

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.

Forecasting 40

Forecasting Machine Learning Manufacturing Optimization 40

Sisense

JANUARY 6, 2020

Analytics and sales should partner to forecast new business revenue and manage pipeline, because sales teams that have an analyst dedicated to their data and trends, drive insights that optimize workflows and decision making. Nowadays, sales is both science and art.

Forecasting 59

Forecasting Slice and Dice Snapshot Sales 59

The Unofficial Google Data Science Blog

APRIL 17, 2017

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?

Forecasting 96

Forecasting Modeling Uncertainty Statistics 96

Smarten

MAY 17, 2019

When it comes to using Predictive Analytics and a self-serve augmented analytics environment, businesses often want to sell the management team on these tools by suggesting real-world use cases that reflect the needs of the organization and illustrate how advanced analytics can help business users and the organization at large with accurate, efficient insight into the planning and forecasting process, and the ability to identify trends and patterns, understand target custom buying behavior, predict fraud and loan default, combine internal and external data analytics, manage quality, improve demand planning and marketing processes and manage human resource attrition. These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. Whether you need to anticipate and plan for equipment maintenance, target online customers, control customer churn, or identify ways to cross-sell and upsell customers on existing and new products and services, these predictive analytics tools can help you to optimize your marketing budget and your resources and mitigate risk and market missteps. The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here. Whether you are using these tools for day-to-day or strategic planning, self-serve augmented analytics provides easy-to-use tools for business users and analysts alike and these tools can be used to achieve a competitive advantage and make better, more educated business decisions. Gain insight into customers, competition, resource allocation, investments, new product and service offerings, supply chain and production issues and more. Learn More: Augmented Analytics Use Cases. Explore these use cases and discover how predictive analysis, and self-serve, advanced analytics tools can help you achieve your goals. Customer Targeting. Product and Service Cross-Sell and Upsell. Customer Churn. Fraud Mitigation. Quality Control. Demand Planning. Human Resource Attrition. Maintenance Management. Loan Approval. Marketing Optimization. Online Target Marketing. Predictive Analytics Using External Data. Learn more about Augmented Analytics, its uses, techniques and applications. Contact Us today to find out how you can create your own success story with assisted predictive modeling and augmented analytics. Smarten Advanced Data Discovery Advanced Analytics Use Cases Augmented Analytics Use Cases Data Analytics Predictive Analysis Use Cases Predictive Analytics Use Cases

Predictive Analytics 74

Predictive Analytics Forecasting Predictive Modeling Marketing 74

bridgei2i

JULY 4, 2019

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.

B2B 40

B2B Forecasting Sales Enterprise 40

Paris Technologies

JUNE 26, 2018

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 […].

Forecasting 51

Forecasting IT Business Intelligence Management 51

Perficient Data & Analytics

MAY 11, 2018

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.

Forecasting 40

Forecasting Key Performance Indicator Modeling Dashboards 40

IBM Big Data Hub

JANUARY 26, 2018

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

Forecasting 75

Forecasting Technology 75

Data Science 101

FEBRUARY 22, 2020

Amazon Forecast now uses public Holidays from 30 Countries Forecast, which is a time-series forecasting tool, supports holidays from many countries now. This will greatly improve the forecast accuracy as holidays can play a large part in forecasting.

Data Science 70

Data Science Data Warehouse Reporting Metrics 70

Cloudera

OCTOBER 30, 2017

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.

Forecasting 43

Forecasting Big Data Optimization Risk 43

DataRobot

NOVEMBER 14, 2019

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

Predictive Modeling 16

Predictive Modeling Modeling Forecasting Technology 16

Perficient Data & Analytics

NOVEMBER 12, 2019

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

Machine Learning 61

Machine Learning Data Science Analytics Forecasting 61

Jedox

OCTOBER 15, 2019

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.

Optimization 52

Optimization Finance Digital Transformation Measurement 52

Perficient Data & Analytics

NOVEMBER 7, 2019

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.

Predictive Modeling 61

Predictive Modeling Modeling ROI Data Processing 61

KDnuggets

JANUARY 2, 2020

Time series forecasting is a technique for the prediction of events through a sequence of time. In this post, we will be taking a small forecasting problem and try to solve it till the end learning time series forecasting alongside.

Forecasting 83

Forecasting IT 83

Jedox

JULY 11, 2019

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?

Finance 40

Finance Digital Transformation Sales Reporting 40

DataFloq

JANUARY 10, 2020

The “state of forecasting” in today's businesses is such that only 1% are able to achieve 90% forecasting accuracy 30 days out. Here are the nine most-common forecasting mistakes to avoid:Lack of a systematic and process-driven approach.This is the number one forecasting sin. I think we can all agree that's sub-optimal, but why is this the case?

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Forecasting Optimization IT Strategy 160

Jedox

AUGUST 22, 2019

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.

Consulting 53

Consulting Finance Technology Interactive 53

Jedox

JULY 3, 2019

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

Finance 40

Finance Business Driver Strategy Forecasting 40

Jedox

JULY 18, 2019

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.

Finance 43

Finance Strategy Risk Modeling 43

Jedox

JULY 30, 2019

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?

KPI 40

KPI Reporting Finance Consulting 40

Jedox

JULY 23, 2019

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

Technology 40

Technology Finance Modeling ROI 40

Jedox

AUGUST 13, 2019

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.

Finance 40

Finance Technology Testing Risk 40

DataFloq

JANUARY 10, 2020

The “state of forecasting” in today's businesses is such that only 1% are able to achieve 90% forecasting accuracy 30 days out. Here are the nine most-common forecasting mistakes to avoid: 1. This is the number one forecasting sin. In the absence of a process-driven approach, or the computational power required to build forecasts at a very granular level, most staff will default to evenly distributing one high-level forecast across different.

Forecasting 113

Forecasting Optimization IT Strategy 113