Time Series Forecasting using Microsoft Power BI

Analytics Vidhya

Introduction Time series forecasting is a really important area of Machine Learning as it gives you the ability to “see” ahead of time and. The post Time Series Forecasting using Microsoft Power BI appeared first on Analytics Vidhya.

Stock Market Price Trend Prediction Using Time Series Forecasting

Analytics Vidhya

Introduction Time series forecasting is used to predict future values based on previously. The post Stock Market Price Trend Prediction Using Time Series Forecasting appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.

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Time Series Forecasting using Facebook Prophet library in Python

Analytics Vidhya

The post Time Series Forecasting using Facebook Prophet library in Python appeared first on Analytics Vidhya. Intermediate Machine Learning Python Supervised Technique Time Series Forecasting blogathon prophet Time Series

How to Build a Sales Forecast using Microsoft Excel in Just 10 Minutes!

Analytics Vidhya

Overview Learn how to build an accurate forecast in Excel – a classic technique to have for any analytics professional We’ll work on a. The post How to Build a Sales Forecast using Microsoft Excel in Just 10 Minutes!

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

What Are Rolling Forecasts?

Jedox

Rolling forecasts are a specific type of financial forecasting that use existing data to help predict aspects of business performance throughout the year. In the first section, we’ll explain some of the more general aspects of forecasting. Overview of forecasting.

How to Create an ARIMA Model for Time Series Forecasting in Python

Analytics Vidhya

Introduction A popular and widely used statistical method for time series forecasting. The post How to Create an ARIMA Model for Time Series Forecasting in Python appeared first on Analytics Vidhya. Intermediate Machine Learning Python Structured Data Supervised Technique Time Series ARIMA Time Series ForecastingThis article was published as a part of the Data Science Blogathon.

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

Cisco's first-quarter forecast disappoints, shares fall

DataFloq

Reuters) - Cisco Systems Inc on Wednesday forecast first-quarter revenue and profit below Wall Street estimates and laid out a restructuring plan, as the coronavirus crisis forced its clients to hold back spending. By Ayanti Bera and Stephen Nellis.

Time Series in Excel! Learn Exponential Smoothing Models for Time Series Forecasting in Excel

Analytics Vidhya

Overview Excel is the perfect fit for building your time series forecasting models We’ll discuss exponential smoothing models for time series forecasting, including the. Learn Exponential Smoothing Models for Time Series Forecasting in Excel appeared first on Analytics Vidhya.

Stock Market Forecasting Using Time Series Analysis

KDnuggets

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.

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

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.

Salesforce full-year profit forecast disappoints, shares drop

DataFloq

(Reuters) - Salesforce.com Inc on Thursday forecast full-year profit that was below market expectations, sending the shares of the online software company down 3.9% The largest provider of customer relationship management software forecast full-year adjusted earnings per share between $3.39

Nintendo hikes Switch sales forecast after bumper year-end

DataFloq

TOKYO (Reuters) - Japan's Nintendo Co Ltd on Monday hiked its full-year forecast for Switch games console sales to 26.5 million hardware units in the first nine months of the financial year through March 2021 - more than its previous full-year forecast - comprising 16.8 By Sam Nussey.

Accenture's business grows at pre-pandemic levels, raises revenue forecast

DataFloq

Reuters) - IT consulting firm Accenture said on Thursday it has bounced back to pre-pandemic growth levels and raised its full-year revenue forecast as more businesses use its digital services to shift operations to the cloud. By Chavi Mehta.

Get More out Your CRM: Tips for Better Sales Forecasting

Jedox

However, forecasting or predicting how much your customers want to buy or how well a business would perform in the future was much more difficult to achieve way back then. But what about forecasting? So, how do you get better sales forecasts with your existing CRM?

Micron forecast shy of estimates as Huawei ban bites

DataFloq

Reuters) - Micron Technology Inc on Tuesday forecast fiscal first-quarter revenue to be slightly below Wall Street estimates, in part because of a U.S. By Akanksha Rana and Stephen Nellis.

Zoom shares rise on strong current-quarter forecast, upbeat results

DataFloq

(Reuters) - Zoom Video Communications Inc forecast current-quarter revenue above expectations, as the company expects millions of people to continue using its video-conferencing platform to work remotely and attend online classes, sending its shares up 10%.

5 Tips for Implementing Rolling Forecasts

Jedox

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. Rolling Forecasts can be used to find out why. Keep performance targets and rolling forecasts separate.

How to forecast stock on hand

Phocas

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. And maintaining appropriate stock levels ensures there is enough inventory on hand without tying up capital in unnecessary overstock. Business Intelligence Basics Product Job Role - Inventory/Operations

Rolling Forecasts: The Pros and Cons

Jedox

In our previous blog post, “ What are Rolling Forecasts? ” we covered forecasting and rolling forecasts in general. In our second post in this series, we look at the pros and cons of introducing rolling forecasts for your organization.

Forecasting Stories: Is it seasonality or not?

KDnuggets

Kicking off with a series of forecasting stories, starting with seasonality and its business applications. 2020 Mar Opinions Forecasting Time SeriesThis first article speaks of course corrections that were based on weather and calendar driven seasonality.

Examining the Simple Linear Regression method for forecasting stock prices using Excel

Analytics Vidhya

The post Examining the Simple Linear Regression method for forecasting stock prices using Excel appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction Even though there are myriad complex methods and systems aimed at.

Infineon forecasts strong sales rebound after coronavirus slump

DataFloq

BERLIN (Reuters) - German chipmaker Infineon forecast double-digit revenue growth for the year ahead, sending its shares higher even as management proposed to trim the dividend to account for the blow inflicted by the coronavirus pandemic. By Douglas Busvine.

The New Normal for FP&A: Forecasting

Jedox

The world has changed so much and so quickly that it has vastly impacted our ability to forecast in the current environment. The reason was simple, the model and forecast were no longer providing useful insight and foresight to the organization.

AT&T raises subscriber forecast for HBO Max as streaming booms

DataFloq

By Sheila Dang and Eva Mathews. Reuters) - AT&T Inc said on Friday it expects up to 150 million global subscribers for its video services HBO Max and HBO, and $15 billion in revenue for the businesses by the end of 2025, as more people turn to cheaper streaming services for entertainment.

Ericsson third-quarter core profit beats forecasts as margins rise

DataFloq

billion a year ago, beating the mean forecast of 6.98 STOCKHOLM (Reuters) - Sweden's Ericsson on Wednesday reported quarterly core earnings that beat market estimates, helped by higher margins across its businesses, and said it was "more confident" in meeting its 2020 targets.

Machine Learning Can Assist with Five Year Balance Sheet Forecasts

DataFloq

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

5 Tips for High Quality Finance Forecasting

Jedox

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. You can achieve this ideal by having the following five characteristics in your forecast: realistic, but not flawless. A forecast should be prepared and adjusted on a regular basis.

Zynga forecasts strong bookings for 2021 on 'Harry Potter' game boost

DataFloq

Reuters) - Zynga Inc on Wednesday forecast annual net bookings above Wall Street estimates, betting on the launch of its upcoming "FarmVille" game and strong in-game spending in its existing titles such as "Harry Potter: Puzzles & Spells.". By Ayanti Bera.

Machine learning methods for demand forecasting in a new normal

DataFloq

Machine learning-based methods of demand forecasting in the retail industry leverage historical data, but the limitations of that data are clear as we grapple with COVID-19. The current state of customer demand has significantly changed, and the forecast accuracy will be diminished.How can we adjust to predict the new demand paradigm?

Nintendo raises Switch forecast to 24 million units on pandemic gaming boom

DataFloq

TOKYO (Reuters) - Japan's Nintendo Co Ltd on Thursday said it expects to sell 24 million of its Switch games consoles in the year ending March 2021, up from a forecast of 19 million but still seen as cautious, as the COVID-19 pandemic drives a gaming boom. By Sam Nussey.

Workday promotes Chano Fernandez as co-CEO, raises 2021 subscription forecast

DataFloq

(Reuters) - Workday Inc on Thursday appointed Chano Fernandez as co-chief executive officer and raised its annual subscription forecast, sending the business software provider's shares up nearly 12% in extended trading. billion, up from its previous forecast of $3.67

Webinar: Data-Driven Approaches to Forecasting

KDnuggets

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

How Scenario Planning for Tax Forecasts Should Work in 2021

Jet Global

Learn how to enable complex planning and forecasting processes. In this webinar, attendees responded to a poll asking which areas of long-term forecasts are of most interest to them. The post How Scenario Planning for Tax Forecasts Should Work in 2021 appeared first on insightsoftware.

Planning & Forecasting in the Age of AI

Dataiku

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 forecastingBut in the age of AI and algorithms, older modeling techniques fail to incorporate the wide variety of data sources needed to produce results precise enough for the modern enterprise.

Dataiku Leveraged for Cash Flow Forecasting

Dataiku

Not only can organizations leverage data science and machine learning for things like time savings, more efficient processes, and cost optimization, but they can also use it for fully automated cash flow forecasting that can produce results precise enough for the modern enterprise and a changing environment. Use Cases & Projects Featured

Will Predictive Analytics Help Forecast Profitable IPOs for Stock Traders?

Smart Data Collective

A lot of experts have talked about the benefits of using predictive analytics technology to forecast the future prices of various financial assets , especially stocks. Forecast the likely impact of the sizzle factor when the IPO takes off.

Whitepaper: New-Age Demand Forecasting & Planning

bridgei2i

As companies look to evolve into agile enterprises, there is increasing pressure on supply chain operations to build very accurate forecasts for Demand Sensing.

EBay beats quarterly profit estimates, forecasts current-quarter sales above expectations

DataFloq

(Reuters) - EBay Inc's quarterly profit topped Wall Street expectations on Wednesday and the e-commerce company forecast fourth-quarter sales above estimates, as people staying at home due to the COVID-19 pandemic took to online shopping. The forecast excludes the classifieds business, which eBay in July agreed to sell to Norway's Adevinta in a $9.2

Forecasting for Retail and CPG in 2020

Dataiku

While the backdrop of 2020’s global health crisis and economic uncertainty makes heading into the holiday season quite unlike years past, the U.S. is still slated to drive online sales growth.

Unlocking New Possibilities with Forecasting Analytics

Sisense

One of the most important applications of data is using it to forecast the future. This is where forecasting analytics can be a game-changer in the decision-making process. Data-driven forecasting decisions. Improving forecasting analytics with competing models.

Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

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!