CIO Business Intelligence

JULY 28, 2023

Engaged customers are vital to the success of any business. Analytics is central to understanding what works for your customers. But how do you get them to share actionable data? Of course, customers are willing to share data in return for better services and products.

Strategy 97

Strategy Enterprise Forecasting Risk 97

FineReport

APRIL 9, 2024

By leveraging advanced analytics capabilities, businesses can uncover hidden opportunities and potential risks within their datasets, allowing them to proactively address challenges and capitalize on emerging trends. This resulted in increased profitability and strengthened competitive positioning within the industry.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smart Data Collective

MAY 8, 2022

Business analytics. According to a study, 97% of businesses invest in big data and AI. This is where business analytic specialists come in. These types of specialists can also present their product or service to investors and potential customers with the help of AI and big data analytics. Identifying risks.

Big Data 108

Big Data Data Analytics Analytics Cost-Benefit 108

Rocket-Powered Data Science

OCTOBER 16, 2020

” “Businesses face more complex challenges every day and AI technologies have become a mission-critical resource in adapting to, if not overcoming, these types of unforeseen obstacles and staying resilient.”

Strategy 198

Strategy Insurance Snapshot Digital Transformation 198

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). It is frequently used for risk analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

JULY 23, 2023

Through analytics, it is now easier than ever to optimize your customer communication channels and produce advertising copy that appeals to your precise audience. Risk assessment: Data can also help you understand the risks associated with specific decisions.

Analytics 76

Analytics Advertising Business Intelligence Risk 76

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. Predictive Analytics. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

APRIL 19, 2019

The answer lies in revolutionary machine learning and business analytics. ML and Business Analytics to the rescue. Adaptive machine and business analytics, applying cutting-edge machine learning and other technologies are proving helpful in spotting anomalies among users in real-time and fighting this issue.

Machine Learning 75

Machine Learning Metrics Data mining Business Analytics 75

FineReport

MARCH 24, 2024

Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts. Excel: Widely used for preliminary data analysis and modeling, featuring advanced business analytics options. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

SEPTEMBER 22, 2022

To overcome these, CIOs have to communicate to the CFO more readily about how IT supports business goals to capture value. New technologies can greatly support these efforts, of course, and business analytics and AI can help provide real-time snapshots of how technology is driving efficiency.

Digital Transformation 114

Digital Transformation Snapshot Finance Strategy 114

Cloudera

FEBRUARY 18, 2021

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. It’s fast, scalable and increasingly safe for businesses and customers alike. COVID-19 has forced a traditionally risk-averse industry to embrace new ML/AI technology.

Insurance 106

Insurance Digital Transformation Risk Data-driven 106

Cloudera

FEBRUARY 24, 2021

Trend #1: The Crossroads of Risk Management and Emerging Technology. One shift the financial services industry will have to come to terms with is the fact that 2020 may have made risk management models of the past outdated or obsolete , particularly credit risk models. However; advances in security have mitigated these risks.

Risk Management 60

Risk Management Risk Recreation/Entertainment Machine Learning 60

Smart Data Collective

NOVEMBER 25, 2019

In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences. As the amount of data collected by new technologies increases, business intelligence analysts may find there’s no way to sift through the amount of data they’re amassing.

Business Intelligence 103

Business Intelligence Predictive Analytics Data Collection Internet of Things 103

Cloudera

OCTOBER 4, 2023

In financial services, fast-moving data is critical for real-time risk and threat assessments. Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. With this, we can reduce customer churn and overall network operational costs.

Data Warehouse 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

IBM Big Data Hub

OCTOBER 5, 2022

Having the ability to build and use models in this way is fundamental to managing supply chain and financial risk through activities like “what-if scenario planning”, as explained in this blog post. The post How IBM Planning Analytics can help fix your supply chain appeared first on Journey to AI Blog.

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Smart Data Collective

JUNE 8, 2023

Monitoring player fitness levels, tracking recovery progress, and identifying potential injury risks are crucial for maintaining the overall well-being of players. By tracking exertion levels, coaches can manage training loads effectively, prevent burnout, and reduce the risk of injuries.

Data Analytics 84

Data Analytics Analytics Data Collection Statistics 84

Jet Global

FEBRUARY 5, 2019

This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. . Reduce the Risk of Bad Data with Master Data Management (MDM). Download Now.

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

IBM Big Data Hub

DECEMBER 16, 2022

AI to proactively identify potential risks or outage warning signs across IT environments. This can be a particularly high risk when you consider the implications this can have when it comes to cultivating a culture of data and AI ethics, and complying with data privacy standards. But process and people can’t be ignored.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

Cloudera

MAY 12, 2021

Please note that use cases could include but are not limited to: risk modeling, sentiment analysis, next best action recommendation, anomaly detection, natural language generation, and more. HYBRID & MULTI-CLOUD INNOVATION. PEOPLE FIRST. A new award category for 2021. Read more about last years Data Impact Award winners.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

Smarten

DECEMBER 3, 2023

Now that we have discussed the importance of considering these tools to improve your company results and support your business users, let’s take a closer look at the real benefits of augmented analytics. Every business needs to understand how these solutions can and will affect users, processes and workflow.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

BizAcuity

AUGUST 26, 2019

This is what makes the casino industry a great use case for prescriptive analytics technologies and applications. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

IBM Big Data Hub

MAY 12, 2022

To navigate this constantly disrupted world, clients need more data, more collaboration and more assurances that they can act at the speed of business without risk. This situation persists across all areas of the business, and organizations have had to focus on new data applications to find a path towards success and resiliency.

Business Analytics 57

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 57

Smart Data Collective

MARCH 19, 2023

Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” ” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany. The dropshipping industry is among them.

Predictive Analytics 129

Predictive Analytics Analytics Manufacturing Advertising 129

Smarten

JUNE 28, 2018

Business Problem: A bank wants to group loan applicants into high/medium/low risk based on attributes such as loan amount, monthly installments, employment tenure, the number of times the applicant has been delinquent in other payments, annual income, debt to income ratio etc. Use Case – 1. Use Case – 2. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

bridgei2i

MARCH 11, 2021

We all know how Artificial Intelligence helps giants like Google and Amazon reshape their commercial techniques and business strategies. From eliminating the need for human assistance in repetitive tasks to reducing the risk of human errors in manual processes – AI can do a lot for large-scale businesses.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Jet Global

MAY 1, 2020

Of course, these threats can easily be overcome, but it’s a sure bet that they will try to creep their way into your business plans. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Smart Data Collective

MAY 4, 2021

When it comes to making business decisions, managers, business owners and other key decision-makers need to be grounded in solid data. Without using data, business decisions are less likely to be informed and there is a higher risk of making the wrong choice.

Advertising 137

Advertising Marketing Data Collection Data Analytics 137

Cloudera

NOVEMBER 24, 2020

This category recognizes organizations whose IT administration provides the agility a business requires, without putting the business at risk, and embraces a pattern of technology adoption that prioritizes speed.

Insurance 74

Insurance Marketing Risk Finance 74

BizAcuity

FEBRUARY 22, 2019

Financial Analytics – An Outlook. In today’s world of competitive businesses, analytics is an essential part of staying competitive especially in this digital era where data is omnipresent.

Analytics 75

Analytics Cost-Benefit Finance Sales 75

IBM Big Data Hub

AUGUST 1, 2023

Failing to adhere to an SLA could put your organization at legal or reputational risk. For example, if multiple servers crash, the business analytics team may not be unable to access the data that they need, or the company’s knowledge workers may not be able to log in and access the software for their jobs.

Management 62

Management Key Performance Indicator Software Cost-Benefit 62

Cloudera

OCTOBER 21, 2020

After all, at its core, insurance is a data business. The entire business boils down to the accurate assessment of risk through data. AI and advanced algorithms are being used to derive insights from all sorts of new data sources to identify at-risk populations, control the spread, and deliver a vaccine. Health data.

Insurance 74

Insurance Unstructured Data Digital Transformation Cost-Benefit 74

datapine

APRIL 14, 2022

An article titled “ The Big Business of Big Data ” examines some of the possibilities. One of our big data analytics examples is that of Tropical Smoothie Cafe. In 2013, they took a slight risk and introduced a veggie smoothie to their previously fruit-only smoothie menu. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Sisense

JULY 29, 2020

If they don’t, they risk failure and can jeopardize their survival. Sisense analytics became a critical tool to enable such a pivot. Using Sisense, Soft Stuff’s leadership quickly identified that something was changing and that it needed to do something drastic to survive as a business.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Cloudera

MAY 27, 2021

“By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it,” AI researcher Eliezer Yudkowsky wrote in a paper titled, “ Artificial Intelligence as a Positive and Negative Factor in Global Risk.” . This doesn’t exonerate technology companies from applying ethics to development.

Machine Learning 117

Machine Learning Big Data Consulting Technology 117

Smarten

JUNE 27, 2018

For example, if an outlier indicates a risk or a mistake, that outlier should be identified and the risk or mistake should be addressed. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Testing 40