Jedox

AUGUST 13, 2020

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. In our third and last post in this series, we give five tips for a successful implementation of rolling forecasts in your organization’s FP&A processes. .

Forecasting 52

Forecasting Risk Finance Data Collection 52

O'Reilly on Data

JULY 28, 2020

One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Look for peculiarities in your data (for example, data from legacy systems that truncate text fields to save space). Conclusion.

Marketing 364

Marketing Experimentation Metrics Testing 364

DataRobot Blog

OCTOBER 4, 2022

This has prompted AI/ML model owners to retrain their legacy models using data from the post-COVID era, while adapting to continually fluctuating market trends and thinking creatively about forecasting. Unlocking New Business Opportunities with AI Forecasting. What’s Under the Hood of AI-Driven Forecasting? The Dataset.

Forecasting 59

Forecasting Sales Data-driven Modeling 59

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Data Collection 167

CIO Business Intelligence

FEBRUARY 10, 2023

With the help of sophisticated predictive analytics tools and models, any organization can now use past and current data to reliably forecast trends and behaviors milliseconds, days, or years into the future. Energy: Forecast long-term price and demand ratios. Forecast financial market trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

APRIL 29, 2021

It’s not so much the realization that this information is collected, but what can be effectively done with it. There is a use for big data in pretty much everything we do, with the economic forecasts proving to be no different. Better Economic Forecast.

Big Data 126

Big Data Forecasting Unstructured Data Statistics 126

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. Instead, they’ll turn to big data technology to help them work through and analyze this data.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

Cloudera

APRIL 9, 2021

The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smart Data Collective

MARCH 24, 2020

Predicting academic performance is one of the key research topics in Big Data in education. The relationship between performance parameters and factors for predicting performance is involved in complex nonlinear relationships, so the areas of data collection should be comprehensive. Data collection. Adjustment.

Big Data 121

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 121

Smart Data Collective

NOVEMBER 24, 2020

In the future of business intelligence, it will also be more common to break data-based forecasts into actionable steps to achieve the best strategy of business development. The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

CIO Business Intelligence

JULY 5, 2022

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Jet Global

MARCH 17, 2020

Some companies, such as drinks brand Diageo, have declared their profit warnings, forecasting between £140-£200m profit losses this year. Some companies, such as drinks brand Diageo, have declared their profit warnings, forecasting between £140-£200m profit losses this year. . Integrated approach to planning.

Forecasting 97

Forecasting Sales Marketing Finance 97

BI-Survey

NOVEMBER 24, 2020

This generates significant challenges for organizations in many areas and corporate planning and forecasting are no exceptions. The aim is to relieve planners and use historical data for valuable forecasts of the future. Planning, forecasting and analytics must be adapted to keep up with these demands.

Forecasting 94

Forecasting Predictive Modeling Statistics Data-driven 94

BizAcuity

FEBRUARY 21, 2025

Beyond Data Collection: Why Dynamics 365 Integration is Critical Most businesses today use Dynamics 365 for managing sales, finance, customer service, or operations. Finance benefiting from automated forecasting, which reduces errors and ensures more accurate financial predictions.

Dashboards 52

Dashboards Optimization Finance Sales 52

CIO Business Intelligence

SEPTEMBER 26, 2024

“Passive, battery-free RAIN RFID can identify and track items without direct line-of-sight access, enabling real-time, automated data collection and reporting at critical points along the product’s journey.”

IT 131

IT Manufacturing IoT Cost-Benefit 131

Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Data Collection Challenge. Factory ID.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Smart Data Collective

JULY 21, 2021

All those invoices have reams and reams of valuable data that you can use to create reports, forecasts and direct management decisions. If the software is not used for this purpose and instead was deployed to do one thing only, then valuable data is lost — or at least, not utilized. But think about it.

Digital Transformation 143

Digital Transformation Data Strategy Strategy Cost-Benefit 143

Smart Data Collective

JUNE 2, 2022

Through the use of e-procurement, you will have greater control over your accounts, finance, cash flow, and business-related data. Collectively, these will help you improve the productivity of your business while giving you more insight into business forecasting and budgeting.

Technology 144

Technology ROI Cost-Benefit Forecasting 144

Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

Smart Data Collective

NOVEMBER 14, 2019

Gaming organizations have started to use big data to develop a deeper understanding of target customers. They have refined their data decision-making approaches to include new predictive analytics models to forecast trends and adapt to evolving customer behavior. Industry growth has averaged about 5% a year.

Predictive Analytics 100

Predictive Analytics Analytics Forecasting Statistics 100

Smart Data Collective

OCTOBER 16, 2023

Smart devices use sensors to collect data and upload it to the Internet. Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources.

Big Data 124

Big Data IoT Cost-Benefit Advertising 124

Smart Data Collective

MAY 28, 2021

Data security and data collection are both much more important than ever. Every organization needs to invest in the right big data tools to make sure that they collect the right data and protect it from cybercriminals. One tool that many data-driven organizations have started using is Microsoft Azure.

Data-driven 139

Data-driven Cost-Benefit Big Data Data Processing 139

Smart Data Collective

MAY 8, 2019

Thanks to the abundance of consumer data collected by websites, social sites, and keyword searches, you’ll have all the information you need for more effective digital ads. The data you collect about individual consumers all but guarantees your ads will be shown to the right people. Sales Forecasting.

Marketing 112

Marketing Advertising Sales Forecasting 112

IBM Big Data Hub

SEPTEMBER 6, 2023

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. Obsolete data and financial projections A budget, at its core, is a financial forecast.

Forecasting 82

Forecasting Marketing Sales Risk 82

Smart Data Collective

JULY 9, 2023

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

datapine

SEPTEMBER 1, 2020

Another aspect to consider when looking at how to present market research data is your audience’s willingness or motivation to purchase your product. Offering percentage-based information, this effective KPI provides a wealth of at-a-glance information that will help you make accurate forecasts centered on your product and service offerings.

Reporting 247

Reporting Marketing KPI Dashboards 247

BizAcuity

NOVEMBER 13, 2024

As businesses increasingly rely on data for competitive advantage, understanding how business intelligence consulting services foster data-driven decisions is essential for sustainable growth. Business intelligence consulting services offer expertise and guidance to help organizations harness data effectively.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

Jet Global

MAY 21, 2020

This is because their budgets are not just based on historical data. Projected student enrollment, grade performance, alumni donations, and scholarships can influence the forecast for the fiscal year’s budget. Support funding initiatives like growing student enrollment with timely, data-driven decisions supported by real-time ERP data.

Finance 98

Finance KPI Forecasting Data-driven 98

CIO Business Intelligence

JUNE 13, 2024

The rising demand for data analysts The data analyst role is in high demand, as organizations are growing their analytics capabilities at a rapid clip. In July 2023, IDC forecast big data and analytics software revenue would hit $122.3 They collect, analyze, and report on data to meet business needs.

Data-driven 98

Data-driven Statistics Business Intelligence Data Collection 98

Jet Global

NOVEMBER 16, 2021

Some cover just digital advertising revenues, whereas others are going further to include revenues from the provision of a digital interface, targeted advertising, and the transmission of data collected about users for advertising purposes. The Complete Guide to Corporate Tax Software. Download Now.

Advertising 97

Advertising Forecasting Uncertainty Risk 97

Smart Data Collective

APRIL 14, 2021

If you occasionally run business stands in fairs, congresses and exhibitions, business stands designers can incorporate business intelligence to aid in better business and client data collection. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 138

Business Intelligence Dashboards Visualization Big Data 138

CIO Business Intelligence

AUGUST 30, 2022

Data has always been central to agile business planning, forecasting and analysis – all tools which have become central to the modern CFO role. This level of data collection and insight requires the right technology.

Data-driven 98

Data-driven Finance Digital Transformation Operational Reporting 98

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

Smart Data Collective

JUNE 29, 2022

For example, users can get forecasts on their income or expenses in the future. Being able to forecast demand and revenue, improving cash flow management, and predicting financial risks are all ways that fintech companies can remain relevant in the modern market. Predictive analytics is helpful not just for consumers.

Cost-Benefit 111

Cost-Benefit Predictive Analytics Finance Forecasting 111

Smart Data Collective

JULY 20, 2021

This tool helps professionals collect real-time pipeline trends, sales engagement, and historical performance that help sales leaders revolutionize forecasting by predicting the sales revenue efficiently. 7 Conga Composer: Conga composer is an effective integration toolthat helps you manage and update the data.

Big Data 142

Big Data Sales Marketing Software 142

Smart Data Collective

SEPTEMBER 21, 2021

The increased amounts and types of data, stored in various locations eventually made the management of data more challenging. Challenges in maintaining data. As organizations keep using several applications, the data collected becomes unmanageable and inaccessible in the long run.

Management 131

Management Internet of Things Data Quality Data Integration 131