David Menninger's Analyst Perspectives

JANUARY 15, 2025

One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. External data is necessary for many functions, including useful and accurate competitive intelligence used by sales and marketing groups.

Predictive Modeling 130

Predictive Modeling Forecasting Predictive Analytics Statistics 130

Analytics Vidhya

JUNE 11, 2021

The post Using Hurst Exponent to analyse the Stock and Crypto market with Python appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Cutting straight right to the chase, Hurst exponent is a.

Marketing 266

Marketing Data Science Publishing Analytics 266

Analytics Vidhya

APRIL 27, 2021

The post Impact of Global Stock Market on Indian stock Index in R appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction: Hello Readers! Ever wonder what are the factors which.

Marketing 239

Marketing Data Science Publishing Analytics 239

datapine

SEPTEMBER 1, 2020

, there are two answers that go hand in hand: good exploitation of your analytics, that come from the results of a market research report. Besides, they also add more credibility to your work and add weight to any marketing recommendations you would give to a client or executive. What Is A Market Research Report?

Reporting 247

Reporting Marketing KPI Dashboards 247

CIO Business Intelligence

DECEMBER 18, 2024

In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

CIO Business Intelligence

JUNE 21, 2024

The market for enterprise applications grew 12% in 2023, to $356 billion, with the top 5 vendors — SAP, Salesforce, Oracle, Microsoft and Intuit — commanding a 21.2% market share between them, according to International Data Corp. With just 0.2% With just 0.2%

Marketing 128

Marketing Enterprise Forecasting Statistics 128

Analytics Vidhya

MAY 20, 2021

The post Working with Stock Market Time Series Data using Facebook Prophet appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Time series data consists of a set of observations in which.

Marketing 200

Marketing Data Science Publishing Analytics 200

AWS Big Data

AUGUST 7, 2023

Many businesses use different software tools to analyze historical data and past patterns to forecast future demand and trends to make more accurate financial, marketing, and operational decisions. Forecasting acts as a planning tool to help enterprises prepare for the uncertainty that can occur in the future.

Forecasting 98

Forecasting Data Warehouse Machine Learning Modeling 98

Smart Data Collective

JULY 7, 2022

One of the most significant changes has been in the field of stock market investing. Analytics Insight has touched on some of the benefits of using data analytics to make better stock market trades. The stock market is the preferred choice of millions of Americans when it comes to building wealth.

Marketing 145

Marketing Data Analytics Analytics Data mining 145

CIO Business Intelligence

MAY 6, 2024

With the cloud being an inevitable part of enterprise digital transformation journeys, IT leaders must keep on top of the latest developments in the cloud market to better predict downstream impacts on their roadmaps. Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of.

Marketing 131

Marketing Strategy IT Data Processing 131

CIO Business Intelligence

NOVEMBER 27, 2024

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. However, there’s a significant difference between those experimenting with AI and those fully integrating it into their operations.

Data Architecture 128

Data Architecture Cost-Benefit Machine Learning Experimentation 128

CIO Business Intelligence

DECEMBER 10, 2024

Raduta recommends several metrics to consider: Cost savings and production increases when gen AI targets efficiencies and automation; Faster, more accurate decision-making when gen AI is used to analyze large datasets; Time-to-market and revenue when gen AI drives product innovation by generating new ideas and prototypes.

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

NOVEMBER 4, 2024

Since Broadcom’s acquisition of VMware, many IT teams are considering whether it’s the right time to explore VMware alternatives, says Steve Carter, Nutanix’s product marketing director. The main requirement is having an Azure landing zone, and then you can build whatever service that you want on it,” he told The Forecast. “I

IT 125

IT Forecasting Strategy Testing 125

Analytics Vidhya

MAY 26, 2023

It has experienced a significant surge in its stock price, reaching an all-time high following its impressive performance in the fiscal first quarter and its optimistic forecast for future growth. NVIDIA is the leading AI chip company.

Forecasting 306

Forecasting Sales Analytics IT 306

CIO Business Intelligence

DECEMBER 19, 2024

The $2-per-conversation approach can include many back-and-forth interactions between a customer and Agentforce, says Ryan Shellack, senior director of AI product marketing at Salesforce. The ongoing advancements in AI will drive continuous evolution in how AI services are priced to remain competitive and aligned with market demands.

Cost-Benefit 129

Cost-Benefit Modeling ROI Marketing 129

CIO Business Intelligence

NOVEMBER 22, 2024

The airliner, which competes against Qatar Airlines, is counting on agentic AI and the LLM to elevate its bookings and expand its share of the growing market, she said, adding that the six-month-old model has attracted 3 million visitors and has handled some bookings, but its value is far more strategic.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

Analytics Vidhya

JUNE 28, 2023

No matter how excellent your services or products are or how unique they are, it is unimportant if you can’t market them effectively. Worldwide, small- and large-scale business owners are attempting to stay up with the quick-changing marketing developments.

Marketing 337

Marketing Analytics Data mining Sales 337

CIO Business Intelligence

JANUARY 21, 2025

times compared to 2023 but forecasts lower increases over the next two to five years. Prioritize marketings customer data needs CIOs looking for growth opportunities from gen AI investments should start by reviewing the marketing departments objectives and integration challenges. Why focus on the marketing department?

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

OCTOBER 24, 2024

Even though many device makers are pushing hard for customers to buy AI-enabled products, the market hasn’t yet developed, he adds. There’s a broader market trend of increased investment, including spending on AI and automation, he says. “At Still, after 2028, it will be difficult to buy a device that isn’t AI optimized.

IT 133

IT Data-driven Recreation/Entertainment Experimentation 133

datapine

DECEMBER 11, 2019

SaaS is taking over the cloud computing market. Even if figures diverge somewhat, the many forecasts conducted on SaaS industry trends 2020 demonstrate an obvious reality: the SaaS market is going to get bigger and bigger. SaaS Industry is forecasted to reach $55 billion by 2026. 2) Vertical SaaS.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

CIO Business Intelligence

JANUARY 21, 2025

Despite these setbacks and increased costs, Wei expressed optimism during the companys recent earnings call, assuring that the Arizona plant would meet the same quality standards as its facilities in Taiwan and forecasting a smooth production ramp-up. The US government has extended robust support to TSMCs investment, offering a $6.6

Manufacturing 116

Manufacturing Cost-Benefit Recreation/Entertainment Technology 116

CIO Business Intelligence

AUGUST 2, 2022

from last year, according to a market research report by Gartner. this year, and next year the market research firm expects that growth will further slow, to 17.5%, reaching $3.5 Driven by the ongoing need for companies to automate repetitive tasks, global RPA (robotic process automation) software revenue is expected to reach $2.9

Software 122

Software Forecasting Sales ROI 122

Rocket-Powered Data Science

MARCH 19, 2021

With its vast assortment of sensors and streams of data that yield digital insights in situ in almost any situation, the IoT / IIoT market has a projected market valuation of $1.5 This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Such investments position enterprises to respond more effectively to market changes and customer demands. Automated processes also contribute to a more predictable operational environment that facilitates better planning and forecasting. Regards, Jeff Orr

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

Cloudera

DECEMBER 6, 2024

The AI Forecast: Data and AI in the Cloud Era , sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large. That kind of information is going to become very valuable, and people are going to bid and build markets against that. But what does that future look like?

Manufacturing 82

Manufacturing Forecasting Metadata Data Processing 82

CIO Business Intelligence

JANUARY 9, 2025

According to Retail Doctor Groups latest research , Australian retailers demonstrate a sophisticated understanding of AI applications, particularly in personalisation, demand forecasting, and supply chain optimisation. The platform offers tailored solutions for different market segments.

B2B 106

B2B Cost-Benefit Data-driven Sales 106

CIO Business Intelligence

FEBRUARY 6, 2025

In retail, they can personalize recommendations and optimize marketing campaigns. Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. In life sciences, LLMs can analyze mountains of research papers to accelerate drug discovery. And guess what?

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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.

IT 128

IT Forecasting Machine Learning Modeling 128

datapine

MAY 2, 2023

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. 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.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Corinium

AUGUST 17, 2020

Customer Experience (CX) Leaders across Asia-Pacific have been stretched to capacity through recent market turbulence and shifting business priorities. Learn how to articulate your brand’s baseline, project revenue increases and forecast a reduction in costs. Download here.

ROI 195

ROI Forecasting Metrics Measurement 195

CIO Business Intelligence

NOVEMBER 18, 2024

As cloud spending rises due to AI and other emerging technologies, Cloud FinOps has become essential for managing, forecasting, and optimising costs. You must also consider how the data must be segmented, between legal entities, physical locations, market channels, customers, etc. It is therefore not advisable to seek 100% accuracy.

Measurement 111

Measurement Modeling Forecasting Metrics 111

CIO Business Intelligence

OCTOBER 23, 2024

For the first time, we’re consolidating data to create real-time dashboards for revenue forecasting, resource optimization, and labor utilization. Without a clear line of sight into occupancy and labor, we can’t make effective hiring decisions. How is the new platform helping?

Enterprise 119

Enterprise Dashboards KPI Data Lake 119

David Menninger's Analyst Perspectives

JANUARY 24, 2023

Markets have been more volatile than ever. By identifying these factors, organizations can better plan for changing market environments and seize market opportunities. With the addition of market volatility, it creates multiple challenges for CFOs, managers and financial planning specialists.

Forecasting 130

Forecasting Analytics Machine Learning Testing 130

DataKitchen

AUGUST 27, 2021

During the product launch, everyone in the sales and marketing organizations is hyper-focused on business development. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. This analytics function is so crucial to product success that the data team often reports directly into sales and marketing.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

datapine

MARCH 25, 2022

In a business context, this method identifies patterns and trends and can forecast inventory, predict customer responses to new products, assess risks, among others. Most BI software in the market are self-service. Usage in a business context. Usage is another factor that can help us understand how BI and BA differ from each other.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

JULY 28, 2022

The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed. However, the same principles can be applied to nontraditional assets more effectively, because they are in less efficient markets. Bitcoin’s price is notoriously volatile.

Predictive Analytics 145

Predictive Analytics Analytics Forecasting Machine Learning 145