Smart Data Collective

AUGUST 26, 2021

Weather forecasting technology has grown from strength to strength in the last few decades. Gone are the days when you had to wait for the local news channel to share the weather forecasts for the next day. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics.

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Forecasting Data Analytics Analytics IoT 129

Sisense

FEBRUARY 18, 2021

Sadly, many companies are stuck using outmoded analytics that give them static, historical reports that only describe what has already happened and are useless in planning for the future. Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data.

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Predictive Analytics Business Intelligence Analytics Manufacturing 66

Jedox

JULY 6, 2021

When considering the performance of any forecasting model, the prediction values it produces must be evaluated. An error metric is a way to quantify the performance of a model and provides a way for the forecaster to quantitatively compare different models 1. Where y’ is forecasted value and y is the true value.

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Forecasting Metrics Testing Modeling 104

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. Making AI Real (Part 2).

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Predictive Analytics Forecasting Sales Analytics 41

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Data Warehouse Predictive Analytics 72

Sisense

FEBRUARY 25, 2021

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. In a recent webinar , I talked about how one of our customers, a performance theater owner, uses predictive analytics.

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Forecasting Analytics Predictive Modeling Machine Learning 52

DataRobot Blog

NOVEMBER 8, 2022

In a world that is increasingly outcome-focused and platform-based, we have integrated strategy and predictive analytics to move at the speed of our clients’ decisions and established a scalable framework for uncovering and acting on insights in an organized, simple, and transparent operating model. See DataRobot AI Cloud in Action.

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Predictive Analytics Marketing Analytics Data-driven 59

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Data Warehouse Predictive Analytics 40

CIO Business Intelligence

APRIL 30, 2024

IDC forecast shows that enterprise spending (which includes GenAI software, as well as related infrastructure hardware and IT/business services), is expected to more than double in 2024 and reach $151.1 over the 2023-2027 forecast period 1. Edge-based predictive maintenance reduces downtime and improves operational efficiency.

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Forecasting Optimization Advertising IoT 97

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. The Need For Demand Forecasting.

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Forecasting IT Sales Statistics 75

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines. Here are the key stages: .

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Machine Learning Forecasting Manufacturing Predictive Analytics 98

Cloudera

JUNE 29, 2023

Up your liquidity risk management game Historically, technological limitations made it difficult for financial institutions to accurately forecast and manage liquidity risk. Financial institutions can use ML and AI to: Support liquidity monitoring and forecasting in real time. Apply emerging technology to intraday liquidity management.

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Data Architecture Risk Management Risk Management 84

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Advanced software tools can automate some parts of forecasting, providing real-time updates and alerts when inventory levels are too high or low.

Strategy 84

Strategy Management Forecasting Cost-Benefit 84

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. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Industries harness predictive analytics in different ways.

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Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

MAY 2, 2023

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. Your Chance: Want to test a professional logistics analytics software? Where is all of that data going to come from? Now’s the time to strike.

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Big Data Cost-Benefit Internet of Things Optimization 275

Smarten

DECEMBER 5, 2022

In this article, we provide a list with links that will detail some of the many analytical techniques your business users will employ and provide examples of how these techniques can be used to solve problems and identify opportunities with clear, easy techniques and results. ARIMAX Forecasting. ARIMA Forecasting. Naïve Bayes.

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Predictive Analytics Predictive Modeling Forecasting Testing 52

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.

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Forecasting Cost-Benefit Sales Unstructured Data 91

datapine

JUNE 15, 2023

This time, including valuable forecasts for costs and income. Each of these KPIs is tracked in its actual value, its forecast value, and the absolute difference in number and percentage. For instance, we can observe that the net profit has the highest variance from the actual to the forecasted value.

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Reporting Dashboards Cost-Benefit Sales 207

IBM Big Data Hub

JUNE 8, 2023

Companies with a modern data architecture and robust BI adoption not only gain immediate competitive advantage, they are positioned to move even further ahead by adopting real-time decisioning practices and predictive analytics, the next steps in digital transformation.

Business Intelligence 64

Business Intelligence Enterprise Dashboards Digital Transformation 64

Jedox

FEBRUARY 13, 2020

For controlling, this means using predictive analytics to produce more forward-looking analyses and increasingly decision-relevant forecasts instead of focusing on past tense reports. Data management and data integration as the basis for advanced analytics. Automated sales forecast at Mitsui.

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Forecasting Predictive Analytics Sales Data Integration 58

BizAcuity

MARCH 31, 2022

you already have a data strategy in place, then it is easier to identify and analyze where AI would be the most useful for your business.Analytics Insight has an informative blog on the wide range of use-cases of AI in prominent industries. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes.

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Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smart Data Collective

OCTOBER 13, 2021

This is something that you can learn more about in just about any technology blog. In forecasting future events. Predictive analytics is an area of big data analysis that facilitates the identification of trends, exceptions and clusters of events, and all this allows forecasting future trends that affect the business.

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Visualization Cost-Benefit Big Data Prescriptive Analytics 135

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

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Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. appeared first on IBM Blog. Request a live demo The post What is Integrated Business Planning (IBP)?

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Key Performance Indicator Forecasting Data Integration Sales 79

BizAcuity

JUNE 3, 2022

Current trends show retailers experimenting with emerging technologies like Predictive Analytics and IoT. Demand forecasting: Several businesses use demand forecasting to stay prepared and ahead of unprecedented market challenges. The future of retailing: Big Data Analytics for omnichannel retail and logistics.

Data Analytics 59

Data Analytics Analytics Forecasting Predictive Analytics 59

datapine

MARCH 25, 2022

On the other hand, BA is concerned with more advanced applications such as predictive analytics and statistic modeling. By using Business Intelligence and Analytics (ABI) tools, companies can extract the full potential out of their analytical efforts and make improved decisions based on facts.

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Business Intelligence Analytics Statistics Dashboards 264

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology.

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Manufacturing Data Warehouse Sales Predictive Analytics 116

IBM Big Data Hub

SEPTEMBER 19, 2023

Having the right data strategy and data architecture is especially important for an organization that plans to use automation and AI for its data analytics. The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets.

Data Science 79

Data Science Data Analytics Prescriptive Analytics Analytics 79

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

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Analytics Digital Transformation Forecasting Risk 109

Smart Data Collective

OCTOBER 16, 2023

Social media, blogging, and microblogging are all essential communication data sources. For example, predictive analytics detect unlawful trading and fraudulent transactions in the banking industry. Product creation Extensive data collection and analysis about client wants can also be used to forecast future trends.

Big Data 101

Big Data IoT Cost-Benefit Advertising 101

datapine

MARCH 31, 2022

S/He is responsible for providing cost-effective solutions to achieve business objectives, comparing operational progress against project development while assisting in planning budgets, forecasts, timelines, and developing reports on performance metrics. They can help a company forecast demand, or anticipate fraud.

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Business Intelligence Statistics Visualization Data-driven 239

datapine

OCTOBER 21, 2020

Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. However, as an article by Fast Company states, there are precedents to navigating these types of problems and roadblocks while accelerating progress towards curing cancer using the strength of data analytics.

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Big Data Data Analytics Analytics Cost-Benefit 364

Smarten

DECEMBER 3, 2023

Solution capabilities included self-serve data preparation , smart data visualization and predictive analytics for forecasting, etc. Augmented Analytics vs Predictive Analytics is not really a question.

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Key Performance Indicator Analytics IT Predictive Analytics 52

datapine

AUGUST 29, 2022

7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel. Best for: someone who has heard a lot of buzz about predictive analytics, but doesn’t have a firm grasp on the subject. – Eric Siegel, author, and founder of Predictive Analytics World.

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Big Data Data Analytics Analytics Data mining 263

Smarten

JUNE 8, 2022

What follows is a short list of sample use cases that leverage predictive analytics. These examples will help the reader to better understand how business users can leverage augmented analytics to perform tasks, refine results and make fact-based decisions on a daily basis.

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Predictive Analytics Predictive Modeling Forecasting Optimization 52

Cloudera

OCTOBER 26, 2023

Trounce the competition Data and predictive analytical tools are widespread and easily accessible: do you know how your competitors are using them? The post Think Like a Data Scientist: The Importance of Building a Data-Driven Company Culture appeared first on Cloudera Blog.

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Data-driven Predictive Analytics Forecasting Enterprise 76

Jedox

JUNE 25, 2020

Forecasts are unreliable and quickly become outdated due to rapid changes and complexity of markets. For this, modern planning software together with artificial intelligence-based (AI-based) predictive analytics can provide important support by evaluating historical data to derive forecasts for further development.

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