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 56

Business Analytics Analytics Recreation/Entertainment Cost-Benefit 56

CIO Business Intelligence

DECEMBER 11, 2024

One of the most challenging aspects of business analytics is creating a consistent set of data definitions to ensure reports do not produce conflicting or unreliable information. The introduction of generative AI (genAI) and the rise of natural language data analytics will exacerbate this problem.

Management 111

Management Data Governance Data Science Reporting 111

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

Jet Global

JULY 10, 2019

Further, with Go2Latam’s knowledge of fiscal localizations coupled with Jet Global, businesses eliminate many risks in migration and business operations in general. This also greatly increases opportunities for businesses that want to expand to Latin America.”. Phone: 503-608-3644. Email: tara.grant@insightsoftware.com.

Business Analytics 69

Business Analytics Analytics Business Intelligence Reporting 69

CIO Business Intelligence

OCTOBER 17, 2023

The attack surface now extends to home offices, cloud applications, and public clouds, and there is an ever-increasing risk of lateral threat movement within highly interconnected hub-and-spoke networks protected by castle-and-moat security models. One example of this analytics capability is digital experience monitoring.

Digital Transformation 143

Digital Transformation B2B IoT Cost-Benefit 143

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 122

Big Data Data Analytics Analytics Cost-Benefit 122

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

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 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 145

Analytics Machine Learning Insurance Testing 145

Smarten

SEPTEMBER 14, 2018

The right Predictive Analytics Tool will allow every team member to be a real asset to the organization by allowing them to analyze, monitor and share results and forecast and predict everything from new product success to pricing changes, customer buying behavior, sales and investment and risk results and market opportunities.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

Smarten

JUNE 27, 2018

How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Fraud Analysis – Based on various bills submitted for employee reimbursement for food, travel, medical expenses etc., Use Case – 1. Use Case – 2.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Rocket-Powered Data Science

JULY 14, 2023

The corresponding growth of system-wide analytics product development and deployment has made the enterprise data infrastructure a significant variable in the equation of business analytics success. Pure analytics solutions can boost performance all across that data environment. These may not be high risk.

Analytics 166

Analytics Internet of Things Data Science Prescriptive Analytics 166

datapine

APRIL 15, 2020

Through agile adoption, organizations are seeing a quicker return on their BI investments and are able to quickly adapt to changing business needs. To fully utilize agile business analytics, we will go through a basic agile framework in regards to BI implementation and management. Accept change.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

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

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

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. With this issue in mind, the BI industry has developed multiple solutions that rely on data visualizations to give a more friendly and intuitive approach to business analytics. Pursue a phased approach.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

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 105

Insurance Digital Transformation Data-driven Risk 105

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

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 98

Analytics Advertising Business Intelligence Risk 98

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

CIO Business Intelligence

MARCH 9, 2022

Each ETL step risks introducing failures or bugs that reduce data quality. . Data lakehouses also ensure that teams have the most complete and up-to-date data available for data science, AI/ML, and business analytics projects. Intel® Technologies Move Analytics Forward. Learn more at [link]. .

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

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 142

Advertising Marketing Data Collection Data Analytics 142

CIO Business Intelligence

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

Strategy 98

Strategy Data-driven Interactive Business Objectives 98

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 Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

Jet Global

JANUARY 17, 2019

Not only will this approach help to eliminate the risk of entering and using bad data, it will also help with overall business intelligence and analytics adoption throughout your organization. Prepare Your Data for Accurate Business Analytics. How Master Data Management Reduces Risk in Any Data Warehouse project.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

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 145

Predictive Analytics Analytics Manufacturing Advertising 145

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 105

Data Analytics Analytics Data Collection Statistics 105

Smart Data Collective

NOVEMBER 18, 2021

B2B business, in particular, brings a unique set of challenges that B2C companies don’t face. Longer buying cycles, more risk, and larger transactions. One idea might not work for one person, and for the next person, the idea might make their dreams come true. This is where big data comes into play.

Data Strategy 138

Data Strategy B2B Strategy Big Data 138

datapine

OCTOBER 7, 2020

That being said, we will discuss operational metrics examples that can be used in business processes and outline the most prominent ones, while using business analytics tools as our invaluable assistance. Marketing: CPC (Cost-per-Click).

KPI 269

KPI Metrics Sales Visualization 269

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

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 119

Machine Learning Big Data Consulting Technology 119

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

Cloudera

NOVEMBER 16, 2020

At Cloudera, we observe with our insurance customers that given current market developments such as COVID-19, hurricanes, wildfires, economic downturns, and low-interest rates, there is an increased risk of fraud. As a result, we’ve seen a recent reprioritization of fraud-related use cases on our platform.

Insurance 101

Insurance ROI Marketing Machine Learning 101

datapine

FEBRUARY 17, 2023

A recent study by Experian, shows that 84% of surveyed businesses said that there has been more demand for data insights within the company since COVID-19. That said, data and analytics are only valuable if you know how to use them to your advantage. Enter embedded analytics and white label business intelligence.

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

AWS Big Data

NOVEMBER 29, 2023

With Redshift, we are able to view risk counterparts and data in near real time— instead of on an hourly basis. Redshift significantly improved our business ROI efficiency.” – PengBo Yang, CTO, JOYME Data pipelines can be challenging and costly to build and manage and can create hours-long delays to obtain transactional data for analytics.

Data Warehouse 112

Data Warehouse Analytics Data Lake Machine Learning 112

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

Cloudera

NOVEMBER 18, 2020

With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. . Data Champions . Winner: OVO. OVO is the leading digital payment, rewards, and financial services platform in Indonesia.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123