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).

Predictive Analytics 41

Predictive Analytics Forecasting Sales Analytics 41

IBM Big Data Hub

FEBRUARY 23, 2024

Enterprises can use NLU to offer personalized experiences for their users at scale and meet customer needs without human intervention. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

Smarten

DECEMBER 15, 2017

Plug n’ Play Predictive Analysis for Accurate Forecasting! There are numerous considerations when a business looks at upgrading or acquiring an analytical solution. One very important capability is Put n’ Play predictive analysis.

Predictive Analytics 63

Predictive Analytics Analytics Predictive Modeling Experimentation 63

Smarten

MAY 15, 2019

If an enterprise is to succeed, it must understand its products and services and it must know the profile of the customer it is targeting. Predictive analytics can identify a trend or pattern so that the organization can anticipate that the market, or buying behavior is changing. Predictive Analytics Using External Data.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Recreation/Entertainment 51

Smarten

MAY 17, 2019

Predictive analytics can help the business to understand online buying behavior, and when, where and how to serve ads, market products and offer discounts or other incentives. Predictive analytics will help you optimize your marketing budget and improve brand loyalty. Predictive Analytics Using External Data.

Predictive Analytics 51

Predictive Analytics Marketing Analytics Predictive Modeling 51

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

APRIL 17, 2018

Assistive Predictive Modeling allows business users to leverage a self-serve advanced analytical tool and to enjoy complex, sophisticated forecasting and business predictions in a simple, user-friendly dashboard environment – all without the skills of an analyst, data scientist or IT professional.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Smarten

MAY 2, 2018

Can Plug & Play Predictive Analytics Help Business Users Function Effectively? Plug & Play Predictive Analytics is not an exotic process that is limited to data scientists or IT staff. Plug & play predictive analysis is so named because it really is a plug and play process.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. What is ARIMA Forecasting? Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JULY 30, 2018

How Can Predictive Analysis Tools Help My Hospital or Healthcare Organization? Hospitals and healthcare systems are turning to predictive analytics tools to plan and forecast and understand what, when and how to support patients.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

O'Reilly on Data

MARCH 27, 2019

The journey to the data-driven enterprise from the edge to AI. Watch " The journey to the data-driven enterprise from the edge to AI.". Elizabeth Svoboda explains how biosensors and predictive analytics are being applied by political campaigns and what they mean for the future of free and fair elections.

Uncertainty 207

Uncertainty Forecasting Data-driven Machine Learning 207

Smart Data Collective

MAY 13, 2022

Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient. In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. Takes advantage of predictive analytics.

Business Analytics 133

Business Analytics Analytics Unstructured Data Data-driven 133

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 86

Strategy Management Forecasting Cost-Benefit 86

CIO Business Intelligence

JANUARY 25, 2024

With two decades of experience as a human resources leader, Deepa Subbaiah, a senior director for HR at Freshworks, has deep expertise in exploring how enterprise teams can get the most out of workplace tech, from first-generation SaaS applications in the early 2000s to today’s AI-powered chatbots. Make it appealing and relevant to me.”

Deep Learning 99

Deep Learning Cost-Benefit Statistics Manufacturing 99

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Smart Data Collective

JUNE 16, 2022

Over 70% of global businesses use some form of analytics. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 They are using analytics to help drive business growth. is at the doorstep. Extract Value From Customer. Conclusion.

Business Analytics 120

Business Analytics Analytics Forecasting Business Analysis 120

bridgei2i

JULY 8, 2020

PODCAST: COVID 19 | Redefining Digital Enterprises. They discuss the impact of the pandemic on enterprises and the need to adopt parallel windows – a short term window to get an enterprise’s operational system up and running as effectively as possible, and a medium-term outlook to mitigate the supply chain shocks and risks.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns. Predictive analytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do? This is the purview of BI.

Business Analytics 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

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 125

Data Science Machine Learning Predictive Modeling Experimentation 125

Smarten

JULY 23, 2019

What is Predictive Analytics and How Can it Help My Business? What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

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. Consolidated Inventory & Sales Data — Build an enterprise view of sales and inventory across all channels. Including new data sources like demand signals (e.g.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

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. Improve Visibility within Supply Chains.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

Cloudera

APRIL 9, 2021

And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

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.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Optimization 52

Rocket-Powered Data Science

MARCH 19, 2021

The dynamic changes of the business requirements and value propositions around data analytics have been increasingly intense in depth (in the number of applications in each business unit) and in breadth (in the enterprise-wide scope of applications in all business units in all sectors).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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.

Digital Transformation 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

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?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

CIO Business Intelligence

NOVEMBER 14, 2022

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Forecasting models.

Data mining 130

Data mining Data-driven Statistics OLAP 130

DataRobot

JULY 22, 2021

Enterprises can benefit from AI-driven demand forecasting, new product forecasting, reduced out-of-stock items, returns forecasting, and much more. percent improvement in forecasting accuracy. DataRobot provides retail- and manufacturing-specific forecasting for an imperfect and unpredictable business landscape.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

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. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 80

Key Performance Indicator Forecasting Data Integration Sales 80

Smarten

MARCH 7, 2024

While none of these is considered ‘new’ in the market today, the combination of essential components and the leveraging of new technologies and features is key to keeping augmented analytics fresh and usable for the average business user.

Analytics 67

Analytics Predictive Modeling Machine Learning Visualization 67

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 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

CIO Business Intelligence

SEPTEMBER 5, 2023

SAP has been helping businesses use technology to solve these kinds of challenges for decades – starting with ERP and expanding across the enterprise. As a result, they’ve been able to generate 2,200 forecasts for 628 trucking lanes sampled from six U.S. states with six months of data – and with 95% accuracy.

Technology 85

Technology Predictive Modeling Predictive Analytics Forecasting 85

Smarten

JULY 21, 2017

Plug Your Users In For Crucial Decisions with Plug n’ Play Predictive Analytics! What did we do about planning and forecasting in the past? Plug n’ Play Predictive Analytics is key to the equation! Well, a lot of what we did was based on guesswork.

Predictive Analytics 65

Predictive Analytics Forecasting Software Marketing 65

Smarten

DECEMBER 4, 2017

To be a positive asset to the business, your business users must be able to accurately plan and forecast everything from budgetary needs to team members and resources, new suppliers, new locations, new products, etc. Assisted Predictive Modeling is a great way to provide support for your users and your organization.

Predictive Modeling 61

Predictive Modeling Modeling Predictive Analytics Forecasting 61