datapine

JANUARY 18, 2023

Table of Contents 1) What Is The Report Definition? 2) Top 14 Types Of Reports 3) What Does A Report Look Like? Businesses have been producing reports since, forever. This presents a problem for many modern organizations today as building reports can take from hours to days. What Is The Report Definition?

Reporting 201

Reporting Metrics Dashboards Visualization 201

The Data Visualisation Catalogue

OCTOBER 18, 2024

A Fan Chart is a visualisation tool used in time series analysis to display forecasts and associated uncertainties. Also, as the forecast extends further into the future, uncertainty grows, causing the shaded areas to widen and give this chart its distinctive ‘fan’ appearance.

Snapshot 84

Snapshot Uncertainty Forecasting Risk 84

Smart Data Collective

APRIL 19, 2022

One of the most important is collecting revenue data to draft financial statements, forecast future sales and make decisions to address revenue shortfalls. After aggregating data, you can create a sales report with ODBC. Merging Excel with Data Mining Technology Can Help You Create Stellar Sales Reports.

Sales 122

Sales Reporting Data mining Forecasting 122

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 90

Forecasting Data Warehouse Machine Learning Modeling 90

CIO Business Intelligence

NOVEMBER 4, 2024

operator of 28 hotel and casino properties across the US, was negotiating a fresh enterprise agreement with VMware prior to its acquisition, reported The Register. 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 I think the world is changing.”

IT 124

IT Forecasting Strategy Testing 124

CIO Business Intelligence

OCTOBER 23, 2024

Our legacy architecture consisted of multiple standalone, on-prem data marts intended to integrate transactional data from roughly 30 electronic health record systems to deliver a reporting capability. We had plenty of reporting, but very little data insight, and no real semblance of a data strategy. How is the new platform helping?

Enterprise 119

Enterprise Dashboards KPI Data Lake 119

datapine

NOVEMBER 27, 2019

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

MAY 7, 2024

This allows users to make better decisions in various domains, from supply chain and logistics, to sustainability reporting and more. Our software enables users to perform their tasks more efficiently, and with AI, the programs become smarter, faster, and more insightful. SAP also attracts a lot of new talent.

Forecasting 122

Forecasting Data Processing Software Measurement 122

CIO Business Intelligence

JANUARY 21, 2025

Wei attributed the delays at TSMCs Arizona factory to a combination of complex compliance requirements, local construction regulations, and extensive permitting processes, according to a Reuters report. Reports now indicate production has already started. The US government has extended robust support to TSMCs investment, offering a $6.6

Manufacturing 116

Manufacturing Cost-Benefit Recreation/Entertainment Technology 116

O'Reilly on Data

FEBRUARY 11, 2019

When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. Forecasting Financial Time Series with Deep Learning on Azure”.

Big Data 269

Big Data Technology Machine Learning Deep Learning 269

CIO Business Intelligence

FEBRUARY 6, 2025

They can also automate report generation and interpret data nuances that traditional methods might miss. Imagine such a system processing unstructured text data like historical maintenance logs, technician notes, defect reports and warranty claims, and correlating it with structured sensor data such as IoT readings and machine telemetry.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

David Menninger's Analyst Perspectives

NOVEMBER 12, 2024

The software streamlines collecting data for planning and reporting and facilitates assigning responsibility within an enterprise to achieve ESG-related objectives. To reduce compliance burdens, it facilitates auditable reporting and provides executives and managers with the means to monitor performance to ESG commitments.

Finance 130

Finance Prescriptive Analytics Cost-Benefit Manufacturing 130

CIO Business Intelligence

DECEMBER 10, 2024

According to AI at Wartons report on navigating gen AIs early years, 72% of enterprises predict gen AI budget growth over the next 12 months but slower increases over the next two to five years. Compounding these data segments results in smarter recommendations with lead scoring, sales forecasting, churn prediction, and better analytics.

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

AUGUST 2, 2022

from last year, according to a market research report by Gartner. Driven by the ongoing need for companies to automate repetitive tasks, global RPA (robotic process automation) software revenue is expected to reach $2.9 billion in 2022, up by 19.5%

Software 122

Software Forecasting Sales ROI 122

CIO Business Intelligence

JANUARY 21, 2025

AI at Wharton reports enterprises increased their gen AI investments in 2024 by 2.3 times compared to 2023 but forecasts lower increases over the next two to five years. The report shows portfolio consolidation and integration investments over the past year, yet only 32% claim that over 80% of their marketing stack is integrated.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

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. Having built the model, the next step would be to build an enduring solution that can periodically report on Unit Economics.

Measurement 111

Measurement Modeling Forecasting Metrics 111

datapine

DECEMBER 11, 2019

SaaS is less robust and less secure than on-premises applications: Despite some SaaS-based teething problems or technical issues reported by the likes of Google, these occurrences are incredibly rare with software as a service applications – and there hasn’t been one major compromise of a SaaS operation documented to date.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

Cloudera

JANUARY 7, 2025

Ryan Garnett, Senior Manager Business Solutions of Halifax International Airport Authority, joined The AI Forecast to share how the airport revamped its approach to data, creating a predictions engine that drives operational efficiency and improved customer experience. For example, we send routine reports to the senior leadership team.

Predictive Modeling 81

Predictive Modeling Modeling Forecasting Data-driven 81

David Menninger's Analyst Perspectives

OCTOBER 15, 2024

The research finds the greatest inclination to spend is in sales performance management, which I interpret to mean that the participants see this area as having the highest potential to generate profit through gains in sales productivity and, therefore, increase revenue.

Cost-Benefit 204

Cost-Benefit Risk Forecasting Software 204

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

Enterprises that adopt RPA report reductions in process cycle times and operational costs. Automated processes also contribute to a more predictable operational environment that facilitates better planning and forecasting.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

datapine

MARCH 31, 2022

For this purpose, you should be able to differentiate between various charts and report types as well as understand when and how to use them to benefit the BI process. They can help a company forecast demand, or anticipate fraud. SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

AI is also making it easier for executives and managers to rapidly forecast, plan and analyze to promote deeper situational awareness and facilitate better-informed decision-making. The next important step is creating an enterprise planning and reporting database of record. This can save budget owners time and shorten planning cycles.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

CIO Business Intelligence

NOVEMBER 1, 2024

Marsh McLennan has been using ML algorithms for several years for forecasting, anomaly detection, and image recognition in claims processing. Compounding this risk is a new and poorly understood factor: the potential for AI to amplify political misinformation and disinformation.

IT 122

IT Insurance Consulting Risk 122

O'Reilly on Data

NOVEMBER 28, 2023

As of November 2023: Two-thirds (67%) of our survey respondents report that their companies are using generative AI. Two-thirds of our survey’s respondents (67%) report that their companies are using generative AI. And only 33% report that their companies aren’t using AI at all. Certainly not two-thirds of them.

Enterprise 339

Enterprise Testing Modeling Reporting 339

CIO Business Intelligence

NOVEMBER 27, 2024

Reports state that the revenue generated in the ‘Tea’ segment of the hot drinks market in India was forecast to continuously increase from now to 2029 by a total of 9.7 From being the beverage of royalty to the comfort of millions, tea’s burgeoning production has made it an economical choice. billion U.S. billion U.S.

Digital Transformation 98

Digital Transformation Forecasting Technology Strategy 98

DataKitchen

AUGUST 27, 2021

This analytics function is so crucial to product success that the data team often reports directly into sales and marketing. Figure 2: During the product launch, data comes from various sources and feeds into regular and ad hoc reports and analytics. New data is shared with users by updating reporting schema several times a day.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

CIO Business Intelligence

JANUARY 9, 2025

Salesforces recent State of Commerce report found that 80% of eCommerce businesses already leverage AI solutions. 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.

B2B 105

B2B Cost-Benefit Data-driven Sales 105

CIO Business Intelligence

APRIL 8, 2025

When financial data is inconsistent, reporting becomes unreliable. A compliance report is rejected because timestamps dont match across systems. In retail, poor product master data skews demand forecasts and disrupts fulfillment. Compliance-heavy environments, enterprise reporting. Embed end-to-end lineage tracking.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

FEBRUARY 20, 2025

Viole Kastrati: Without systematic and continuous reporting, it is almost impossible to get a complete picture of the personnel situation and make informed decisions based on it. Human resources must also contribute to transparent reporting requirements here. Subsequently, the reporting should be set up properly.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

datapine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

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. One day you are looking at your sales report and notice that sales for a pair of red shoes have spiked in the past weeks in New York. Usage in a business context.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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

CIO Business Intelligence

MAY 21, 2024

Epicor Grow AI applications include multiple capabilities such as inventory forecasting, AI generated sales orders from emails, personalized product suggestions based on order history, predictive maintenance recommendations for fleets, and more, within the context of familiar Epicor products.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

CIO Business Intelligence

JUNE 2, 2022

Hot technologies for banks also include 5G , natural language processing (NLP) , microservices architecture , and computer vision, according to Forrester’s recent Top Emerging Technologies in Banking In 2022 report. AI enhances operational efficiency. 5G aids customer service. 5G aids customer service. 5G aids customer service.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

datapine

AUGUST 14, 2019

Many users also report its power in constructed-in capabilities and libraries, data manipulation, and reporting. The example above shows us a visual of the drag and drop interface created in datapine for a 6 months forecast based on past and current data. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

NOVEMBER 1, 2024

Marsh McLellan has been using ML algorithms for several years for forecasting, anomaly detection, and image recognition in claims processing. Compounding this risk is a new and poorly understood factor: the potential for AI to amplify political misinformation and disinformation.

IT 105

IT Insurance Consulting Risk 105

DataRobot

OCTOBER 18, 2021

There is a wealth of research showing again and again that evidence-based algorithms are more accurate than forecasts made by humans. People are much more likely to choose to use human rather than algorithmic forecasts once they have seen an algorithm perform and learned it is imperfect.

Forecasting 145

Forecasting Digital Transformation Cost-Benefit Data-driven 145