CIO Business Intelligence

DECEMBER 7, 2023

Then there’s the southern island of Kyushu, the tail-end of Japan, which is particularly prone to increasingly frequent and more intense disasters such as heavy-rain events, typhoons, and earthquakes. So far, the solution has increased details about disaster-response risk by 40% over traditional methods.

IoT 80

IoT Internet of Things Forecasting Digital Transformation 80

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. Automation Automation can streamline supply chain operations, from order fulfillment to inventory tracking.

Strategy 81

Strategy Management Forecasting Cost-Benefit 81

Smart Data Collective

AUGUST 7, 2022

We have talked at length about the benefits of analytics in the financial sector. billion on financial analytics technology this year. However, data analytics can be just as beneficial in the bitcoin trading sector. We recently pointed out that traders can use analytics to deal with concerns about ongoing price volatility.

Analytics 104

Analytics Data Analytics Finance Analytics Technologies 104

CIO Business Intelligence

MARCH 18, 2024

How technology is used for social sustainability Governance and ethical practices: Data security and privacy technologies are critical for good governance, particularly in our digital-first world where cybersecurity risks are on the rise.

Manufacturing 106

Manufacturing Forecasting Technology Strategy 106

IBM Big Data Hub

DECEMBER 18, 2023

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management.

Internet of Things 96

Internet of Things IoT Forecasting Visualization 96

IBM Big Data Hub

OCTOBER 5, 2022

IBM Planning Analytics, or TM1 as it used to be known, has always been a powerful upgrade from spreadsheets for all kinds of planning and reporting use cases, including financial planning and analysis (FP&A), sales & operations planning (S&OP), and many aspects of supply chain planning (SCP). Then, everything comes together.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

CIO Business Intelligence

NOVEMBER 20, 2023

Hotels could dynamically adjust room rates based on traffic forecasts, weather conditions, and events in the area. Predictive maintenance AI tools enable proactive maintenance approaches, using data analytics to detect anomalies in equipment and processes—such as the performance of jet engines—so they can be fixed before they fail.

Sales 124

Sales Cost-Benefit Manufacturing Forecasting 124

IBM Big Data Hub

DECEMBER 4, 2023

This approach empowers organizations to utilize data-driven analytics, artificial intelligence (AI) and automation to make well-informed decisions swiftly and accurately, enabling them to navigate the complexities of the modern marketplace with agility and precision.     This is where autonomous planning shines.

Forecasting 48

Forecasting Finance Optimization Marketing 48

AWS Big Data

MARCH 21, 2024

You risk under-provisioning for peak traffic, which can lead to downtime, or over-provisioning for base load, leading to wastage. You also need longer-term access to this data for machine learning (ML) models to run predictive maintenance assessments, find optimization opportunities, and forecast demand. b64decode(x["value"]).decode('utf-8')

Data Lake 96

Data Lake Management Modeling Optimization 96

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Descriptive Analytics is used to determine “what happened and why.” What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smart Data Collective

SEPTEMBER 19, 2022

billion on financial analytics by 2030. They can also anticipate industry trends, assess risks, and make strategic steps to elevate the customer experience. Fintech analytics helps businesses in the financial and banking industry offer satisfactory services by: Enhancing View Of Customer Profiling. Improving Risk Assessment.

Big Data 130

Big Data ROI Measurement Risk 130

datapine

JUNE 15, 2023

These analytical tools allow decision-makers to get a sense of their performance in a number of areas and extract valuable insights to inform their future strategies and boost growth. A performance report is an analytical tool that offers a visual overview of how a business is performing in a specific strategy, project, or department.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

Rita Sallam

APRIL 2, 2023

Extreme weather events and their devastating impacts are more frequent and severe, but which populations are most affected? We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. We did two Bake-Offs this year.

Optimization 52

Optimization Machine Learning Insurance Risk 52

IBM Big Data Hub

FEBRUARY 14, 2024

They can also help businesses predict future events and understand why past events occurred. By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination.

Cost-Benefit 82

Cost-Benefit Insurance Unstructured Data Machine Learning 82

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms.

Cost-Benefit 78

Cost-Benefit Scorecard Risk Recreation/Entertainment 78

Smart Data Collective

SEPTEMBER 12, 2021

Savvy investors have discovered the data analytics and AI technology can tremendously help when they want to reach or even set their goals. Build Your Savings & Emergency Fund by Using Data Analytics to Identify Needs. Most investments have a risk involved and the last thing you want is to lose it without a backup fund.

Data-driven 80

Data-driven Strategy Big Data Cost-Benefit 80

bridgei2i

MAY 26, 2020

In the post-COVID era, they can be empowered with a high standard of data and analytics sophistication to cope and thrive. By allowing that, they could have a steady demand forecast based on sensing algorithms and react faster to such events. And the third dimension is their data and analytics sophistication. Transcript.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

O'Reilly on Data

JANUARY 22, 2019

Errors in analysis and forecasting may arise from any of the following modeling issues: using an inappropriate functional form, inputting inaccurate parameters, or failing to adapt to structural changes in the market. In other words, extreme events occur far more frequently than predicted by the normal distribution.

Modeling 136

Modeling Finance Uncertainty Data mining 136

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations.

Insurance 78

Insurance Data Warehouse Data-driven Unstructured Data 78

CIO Business Intelligence

SEPTEMBER 8, 2022

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. Advanced analytics can enhance events with scoring models, expanded business rules, or even new data.”.

Cost-Benefit 105

Cost-Benefit Internet of Things Data-driven Data Lake 105

CIO Business Intelligence

OCTOBER 1, 2022

The pandemic, escalating geopolitical tensions, cyberattacks, and severe weather events have made the supply chain a universal issue subject to boardroom and even White House scrutiny. They should assist the data analytics team in implementing digital dashboards for end-to-end supply chain visibility. This is no longer the case.

Cost-Benefit 105

Cost-Benefit Manufacturing Forecasting Metrics 105

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. Ultimately, enabling real-time monitoring of site activities and enrollment progress could prompt timely mitigation actions ahead of time.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

CIO Business Intelligence

JANUARY 18, 2024

Global spending on technology is predicted to be up by virtually all forecasts. Agility: Given the need to stay ahead of market events, behaviors, and disruptive trends, today’s CIO job market favors those who demonstrate flexibility and foresight, and can establish agile IT cultures.

IT 126

IT Data-driven Marketing Technology 126

IBM Big Data Hub

JUNE 30, 2023

safety equipment, parts for trucks, and raw materials for infrastructure), weather events, customer demand levels, and logistics can help prevent disruption in operations, too. However, maintenance inventory optimization is only part of the solution. Visibility into other key inventory (e.g.,

Consulting 59

Consulting B2B IoT Optimization 59

Sisense

JANUARY 22, 2021

For example, one fintech problem requiring actionable insights today is credit risk assessment. The resulting insight is the algorithm’s classification of the applicant as an acceptable or unacceptable risk. Analytics must cope with both structured and unstructured data to achieve optimal results.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

IBM Big Data Hub

JULY 19, 2023

Supply Chain: Demand forecasting, supply chain optimization, risk assessment and mitigation. In the AI domain, IBM has 21K+ data Scientists, AI Engineers, and consultants and has executed 40K+ AI and analytics engagements. Currently, creating narratives for adverse events is an intensive manual process in healthcare.

Consulting 60

Consulting Machine Learning Manufacturing Optimization 60

Smart Data Collective

MAY 21, 2019

There are several ways that predictive analytics is helping organizations prepare for these challenges: Predictive analytics models are helping organizations develop risk scoring algorithms. While it is true that you can’t change the weather, you can use big data to help prepare for it and minimize the risk of disasters.

Big Data 77

Big Data Cost-Benefit Predictive Analytics Insurance 77

erwin

APRIL 29, 2020

For example, the marketing department uses demographics and customer behavior to forecast sales. In the event of a change in data expectations, data lineage provides a way to determine which downstream applications and processes are affected by the change and helps in planning for application updates. Collaboration.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Data and analytics. Supply-side. Demand-side.

Manufacturing 92

Manufacturing Forecasting Digital Transformation Sales 92

Jet Global

OCTOBER 8, 2020

Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously plan and forecast for events with little or no historical context. Tip 2: Improving accounts receivable procedures.

Finance 98

Finance Reporting Forecasting Metrics 98

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

datapine

OCTOBER 21, 2020

One of the most notable areas where data analytics is making big changes is healthcare. In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general. Download our free bite-sized summary and see our top examples!

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. This delivers greater visibility to product movement and tracking events throughout the whole supply chain, for fostering interoperability and transparency.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Cost control and budgeting : EAM systems provide valuable insights into asset performance as it relates to maintenance costs.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

bridgei2i

JUNE 3, 2020

Demand for minimal physical interaction/low human touch products: Due to the risk of infection, customers want to pick up products with minimal human contact. BRIDGEi2i helped a Health Tech firm in assessing supply risk due to its China-dependence during the current crisis & helped it consider alternate sources of procurement.

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

Smart Data Collective

JULY 28, 2022

Fortunately, new predictive analytics algorithms can make this easier. Last summer, a report by Deloitte showed that more CFOs are using predictive analytics technology. The evidence demonstrating the effectiveness of predictive analytics for forecasting prices of these securities has been relatively mixed.

Predictive Analytics 137

Predictive Analytics Analytics Forecasting Machine Learning 137