CIO Business Intelligence

JANUARY 25, 2024

One job with that kind of focus is an analytics translator —an enterprise role that emerged several years ago for data experts adept at decoding insights from AI and data science teams into relevant and relatable insights for business and product teams. Along these lines, predictive analytics is one field destined for AI-powered growth.

Deep Learning 96

Deep Learning Cost-Benefit Statistics Manufacturing 96

CIO Business Intelligence

JUNE 1, 2022

Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 Predictive analytics can foretell a breakdown before it happens.

Manufacturing 99

Manufacturing Digital Transformation Predictive Analytics Strategy 99

CIO Business Intelligence

JUNE 7, 2022

Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes.

Data Analytics 126

Data Analytics Diagnostic Analytics Management Analytics 126

datapine

JUNE 15, 2023

This time, including valuable forecasts for costs and income. Each of these KPIs is tracked in its actual value, its forecast value, and the absolute difference in number and percentage. For instance, we can observe that the net profit has the highest variance from the actual to the forecasted value.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

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.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

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

IBM Big Data Hub

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

IBM Big Data Hub

FEBRUARY 14, 2024

Not only will this help scale the AOT tech across markets, but it will also help tackle integrations including additional languages, dialects and menu variations. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies. See what’s ahead AI can assist with forecasting.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help.

Data mining 125

Data mining Data-driven Statistics OLAP 125

IBM Big Data Hub

APRIL 25, 2024

An early case study of BPR was Ford Motor Company, which successfully implemented reengineering efforts in the 1990s to streamline its manufacturing processes and improve competitiveness. Organizations of all sizes and industries implement business process reengineering. BPR initiatives generally boost key performance indicators (KPIs).

Cost-Benefit 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

datapine

JUNE 5, 2019

Forecasting: As dashboards are equipped with predictive analytics , it’s possible to spot trends and patterns that will help you develop initiatives and make preparations for future business success. A data dashboard assists in 3 key business elements: strategy, planning, and analytics. 3) Web Analytics Dashboard.

Dashboards 316

Dashboards KPI Sales Visualization 316

Smart Data Collective

JANUARY 21, 2021

Through an amazing mix of weather data, satellite feeds, predictive analytics and machine learning, we’re entering a future where renewable power can reach the grid on a reliable and much more consistent basis. They can place solar panels in areas where their analytics models show they will realize the best energy dividends.

Big Data 131

Big Data Cost-Benefit Data-driven Machine Learning 131

CIO Business Intelligence

FEBRUARY 16, 2023

Now, the team’s information architects, in conjunction with business analysts, are working on the semantic layer, which feeds data from data warehouses and data lakes into data marts, including a finance mart, sales mart, supply chain mart, and market mart. Analytics, Artificial Intelligence, Data Management, Predictive Analytics

Unstructured Data 101

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 101

IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. However, generative AI can create value by generating multilingual support and personalized marketing content.

B2B 64

B2B Interactive Optimization Forecasting 64

CIO Business Intelligence

DECEMBER 1, 2022

To date the company has moved 5,000 applications to Microsoft Azure as it applies predictive analytics , AI, robotics, and process automation in many of its business operations. The company is also refining its data analytics operations, and it is deploying advanced manufacturing using IoT devices, as well as AI-enhanced robotics.

Digital Transformation 122

Digital Transformation IoT Data-driven KPI 122

Smarten

MAY 15, 2019

With predictive analytics, the business can leverage data from various systems and software to take the guesswork out of production equipment maintenance and anticipate routine maintenance. Marketing Optimization. Predictive Analytics Using External Data. Online Target Marketing. Human Resource Attrition.

Predictive Analytics 10

Predictive Analytics Management Analytics Cost-Benefit 10

FineReport

APRIL 26, 2023

Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. For example, a computer manufacturing company could develop new models or add features to products that are in high demand. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smarten

JULY 12, 2017

The simplest, easiest and spreadsheetble (I just invented this word) information which can be used for predictive and forecasting is defined data over a period. These guys matter as the pillars of Indian GDP, what are they going to do about Predictive Analytics ? Analysts could write 20 pages on this.

Predictive Analytics 40

Predictive Analytics Sales Manufacturing Data-driven 40

IBM Big Data Hub

JULY 6, 2023

A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles. One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 72

Manufacturing Technology Internet of Things Cost-Benefit 72

bridgei2i

JULY 8, 2020

And, in continuation of our conversations around the impact of COVID-19 on enterprises with thought leaders and industry experts, today we have with us Anand Ganesh – someone who brings in over two decades of experience in leadership positions across technology and consumer markets. Thank you for making the time, Ganesh.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

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 Data Warehouse Predictive Analytics 72

datapine

JANUARY 18, 2023

With this information in hand, businesses can build strategies based on analytical evidence and not simple intuition. With the use of the right BI reporting tool businesses can generate various types of analytical reports that include accurate forecasts via predictive analytics technologies.

Reporting 201

Reporting Metrics Dashboards Visualization 201

Smart Data Collective

AUGUST 29, 2022

However, the rapidly changing business environment requires more sophisticated analytical tools in order to quickly make high-quality decisions and build forecasts for the future. For example, marketing managers can run a cluster analysis to segment customers by their buying pattern or preferences. Predictive analytics.

Analytics 115

Analytics Predictive Analytics Machine Learning Insurance 115

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 Data Warehouse Predictive Analytics 40

Cloudera

FEBRUARY 3, 2021

COVID-19 vaccines from various manufacturers are being approved by more countries, but that doesn’t mean that they will be available at your local pharmacy or mass vaccination centers anytime soon. The COVID-19 vaccine distribution is one of the most challenging manufacturing and supply chain issues facing the world right now.

Manufacturing 107

Manufacturing Forecasting Internet of Things Risk 107

BizAcuity

MARCH 31, 2022

By 2025, AI will be the top category driving infrastructure decisions, due to the maturation of the AI market, resulting in a tenfold growth in compute requirements. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: AI in Marketing. Source: Gartner Research).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

CIO Business Intelligence

OCTOBER 10, 2022

Freudenberg Home and Cleaning Solutions (FHCS), the winner of the 50th Anniversary Legend award of this year’s SAP Innovation Awards 2022 , has been providing market-leading cleaning solutions that keep millions of homes worldwide hygienic and safe since 1849. . The Challenge: Planning in Silos .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

Jet Global

JUNE 18, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. What is Big Data Analytics Software? Manufacturing. Big Business Needs Big Data. Let’s look at some of the ways: Healthcare.

Big Data 75

Big Data Software Data Analytics Analytics 75

Jedox

MARCH 7, 2023

Chemical manufacturer plans for any scenario Integrating cross-organizational data 3. Chemical manufacturer plans for any scenario Mitsui Chemicals Europe reaps the benefits of instantaneous best- and worst-case scenario planning , freeing up finance teams to focus on developing valuable strategies to adapt to each scenario.

Forecasting 52

Forecasting Sales Finance Reporting 52

datapine

AUGUST 29, 2022

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. Product/market fit is THE most important factor to get right. Stein Kretsinger, founding executive, Advertising.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 AI platforms can generate content and assist with various tasks, such as crafting marketing emails and creating customer personas.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Jet Global

OCTOBER 3, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. What is Big Data Analytics Software? Manufacturing. Big Business Needs Big Data. Let’s look at some of the ways: Healthcare.

Big Data 53

Big Data Software Data Analytics Analytics 53

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. This is predictive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. How does CDO overlap with Market Research functions? I suspect some of our analysts who cover market research would have insight here. This is not how it works though.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52