David Menninger's Analyst Perspectives

OCTOBER 30, 2024

Supply chain management is also an area where ISG Research finds a high propensity for enterprises to spend on AI, coming in second behind sales performance management in terms of an average acceptable price per seat increase. This helps them maintain optimal inventory levels, reducing costs as well as the risk of overstocking or stockouts.

Management 130

Management IT Sales Manufacturing 130

Smarten

MAY 17, 2019

There is a lot of information within your enterprise, and being able to analyze that information is crucial to decision-making and to managing your business and predicting results with efficiency and accuracy. Learn More: Predictive Analytics Using External Data. Customer Targeting. Customer Churn. Fraud Mitigation.

Predictive Analytics 60

Predictive Analytics Analytics Predictive Modeling Risk Management 60

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 42

Predictive Analytics Forecasting Sales Analytics 42

CIO Business Intelligence

MAY 21, 2024

The platform includes six core components and uses multiple types of AI, such as generative, machine learning, natural language processing, predictive analytics and others, to deliver results. Epicor Grow Data Platform is a full-stack, no-code data platform that allows enterprises to manage all of their data in one place.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

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 Predictive Analytics Data Warehouse 72

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 53

Predictive Analytics Analytics Predictive Modeling Recreation/Entertainment 53

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 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 53

Predictive Analytics Marketing Analytics Predictive Modeling 53

David Menninger's Analyst Perspectives

OCTOBER 29, 2024

On the back end, we find applications that use enterprise knowledge resources to deliver guidance during interactions and analytics tools that suss out customer sentiment and buying intent. Today’s value-realization proof points grow more apparent every day, and enterprises are increasingly alert to the opportunities.

Key Performance Indicator 130

Key Performance Indicator Cost-Benefit Interactive Measurement 130

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 95

Enterprise Interactive Data-driven Key Performance Indicator 95

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

CIO Business Intelligence

OCTOBER 10, 2022

This hampered the company from having an enterprise-wide view. The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. FHCS integrated its landscape built on SAP ERP and SAP Business Warehouse with specialized forecasting in SAP Integrated Business Planning (IBP).

Enterprise 52

Enterprise Forecasting Descriptive Analytics Data Warehouse 52

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

CIO Business Intelligence

JUNE 7, 2024

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market. million in its first year, contributed a $5.5

IT 128

IT Forecasting Machine Learning Modeling 128

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 Predictive Analytics Data Warehouse 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

CIO Business Intelligence

APRIL 30, 2024

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. over the 2023-2027 forecast period 1. 1 IDC forecasts spending on GenAI solutions will double in 2024 and grow to $151.1

Forecasting 103

Forecasting Optimization Advertising IoT 103

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 210

Uncertainty Forecasting Machine Learning Data-driven 210

CIO Business Intelligence

OCTOBER 1, 2024

Central to many of these efforts was an emphasis on supply chain analytics , which enabled companies to leverage data for smoother logistics in times of supply scarcity.

Predictive Analytics 125

Predictive Analytics Machine Learning Digital Transformation Manufacturing 125

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 135

Business Analytics Analytics Unstructured Data Data-driven 135

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 135

Data Analytics Diagnostic Analytics Management Analytics 135

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 124

Business Analytics Analytics Forecasting Business Analysis 124

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 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

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

AUGUST 20, 2024

Integrating artificial intelligence (AI) into enterprise edge ecosystems is a strategic imperative. AI has rapidly become an enterprise imperative, providing efficiency gains, real-time insights, and new levels of innovation for early adopters. Dell NativeEdge is ready to help you reach your edge AI goals.

Manufacturing 108

Manufacturing IoT Internet of Things Optimization 108

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 112

Deep Learning Cost-Benefit Statistics Manufacturing 112

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 64

Modeling Predictive Analytics Predictive Modeling IT 64

FineReport

JUNE 7, 2024

FineReport : Enterprise-Level Reporting and Dashboard Software Try FineReport Now In 2024, FanRuan continues to push boundaries with groundbreaking advancements in AI-driven analytics and real-time data analytics processing. Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

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 111

Analytics Digital Transformation Forecasting Risk 111

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 90

Forecasting Cost-Benefit Sales Unstructured Data 90

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 126

Data Science Machine Learning Predictive Modeling Experimentation 126

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 81

Strategy Management Forecasting Internet of Things 81

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 108

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 108