BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. Predictive Analytics.

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

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 104

Big Data Data Analytics Analytics Cost-Benefit 104

CIO Business Intelligence

SEPTEMBER 22, 2022

According to Deloitte’s Q1 2022 CFO Signals survey , a quarterly poll of Fortune 500 CFOs on business sentiment and strategy, 35% of respondents indicated they had oversight of their organization’s IT leader, with 28% reporting direct oversight. CFOs are math-oriented in how they view business health and investment priorities.

Digital Transformation 94

Digital Transformation Snapshot Finance Strategy 94

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. CDW integrates Kudu in Data Hub services with containerized Impala to offer easy to deploy and administer, flexible real-time analytics.

Data Warehouse 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Comparing leading BI tools provides valuable insights into the diverse capabilities and features available for data analysis and reporting.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

datapine

OCTOBER 7, 2020

We have written about management reporting methods that can be utilized in the modern practice of creating powerful analysis, bringing complex data into simple visuals, and employ them to make actionable decisions. Try our professional reporting software for 14 days, completely free! How To Select Operational Metrics And KPIs?

KPI 269

KPI Metrics Sales Visualization 269

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 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

BizAcuity

APRIL 19, 2019

According to reports, it is estimated that about 3 to 5 percent of people who indulge in casino gaming, get hooked on to it. The answer lies in revolutionary machine learning and business analytics. ML and Business Analytics to the rescue. One in specific works by calculating a risk score for players.

Machine Learning 75

Machine Learning Metrics Data mining Business Analytics 75

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

Cloudera

FEBRUARY 18, 2021

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. Technology such as a camera phone, drone or an automated chat bot is used to report the claim, capture information about damage or invoices and to communicate with the customer.

Insurance 105

Insurance Digital Transformation Risk Data-driven 105

IBM Big Data Hub

AUGUST 1, 2023

Incident management systems have evolved from blunt tools where employees recorded incidents that they observed (which could happen hours after occurring) to a robust, always-on practice with automation and self-service incident management software, enabling anyone in the organization to report an incident to the service desk.

Management 59

Management Key Performance Indicator Software Cost-Benefit 59

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. 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. To us that equals one thing, and that’s risk. Risk to the business.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

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).

Analytics 52

Analytics Forecasting Predictive Modeling Manufacturing 52

Cloudera

NOVEMBER 16, 2020

Globally, RGA research shows that 3.58% of all claims are fraudulent, and underwriting fraud is reported in 1.38% of all underwriting cases. . Yet, fraud in the U.S. is relatively low compared to other fast-growing markets such as APAC. As a result, we’ve seen a recent reprioritization of fraud-related use cases on our platform.

Insurance 96

Insurance ROI Marketing Machine Learning 96

Cloudera

MAY 12, 2021

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . HYBRID & MULTI-CLOUD INNOVATION. PEOPLE FIRST. A new award category for 2021. DATA FOR GOOD. A popular category last year, and no doubt this year too.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

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

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 58

Risk Management Risk Recreation/Entertainment Machine Learning 58

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

Sisense

JULY 29, 2020

If they don’t, they risk failure and can jeopardize their survival. That’s why data and analytics become even more vital to organizations surviving and thriving when conditions are so difficult and so out-of-the-ordinary. Sisense analytics became a critical tool to enable such a pivot.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

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 135

Advertising Marketing Data Collection Data Analytics 135

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

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

Smarten

JUNE 25, 2018

In order to understand how best to make use of this algorithm; let’s look at some general examples, followed by some business use cases. A movie ticket booking website can group users into frequent ticket buyers, moderate ticket buyers and occasional ticket buyers, based on past movie ticket purchases. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smart Data Collective

NOVEMBER 18, 2021

Big data and business intelligence are essential. VentureBeat reports that only 13% of companies are delivering on their big data strategies. B2B business, in particular, brings a unique set of challenges that B2C companies don’t face. Longer buying cycles, more risk, and larger transactions.

Data Strategy 126

Data Strategy B2B Strategy Big Data 126

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

CIO Business Intelligence

MARCH 22, 2022

Fractal Analytics has appointed Manish Tiwari as its CIO. At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . Sanjay Verma has joined Akums India as group CIO, reporting to managing director Sandeep Jain.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

Smart Data Collective

FEBRUARY 2, 2021

In a report titled Analytics: The real-world use of big data in retail , IBM found that 62% of retail leaders were able to create a competitive advantage thanks to data analytics and predictions. With Big Data, recruiters can match employers with skilled candidates much faster, while at the same time reducing the cost per hire.

Big Data 84

Big Data Recreation/Entertainment Cost-Benefit Finance 84

CIO Business Intelligence

MARCH 16, 2022

IT executives see talent shortage as the most significant adoption barrier to 64% of emerging technologies, ahead of implementation cost (29%) or security risk (7%), according to a September 2021 Gartner survey. Identifying which emerging technologies will prove most useful is a challenge, though.

Forecasting 93

Forecasting Machine Learning Technology Enterprise 93

Smarten

JUNE 29, 2018

Based on these labels, the bank can easily make a decision on whether to give a loan to an applicant and the credit limit and interest rate each applicant is eligible for based on the amount of risk involved. Use Case – 2. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

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

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 114

Machine Learning Big Data Consulting Technology 114

Sisense

JUNE 24, 2021

Those who fail to keep up run a real risk of becoming irrelevant, sidelined, and ultimately losing value in the workplace. Fortunately, new and innovative ways of leveraging the power of learning analytics give users of all skill levels the ability to decipher data.

Analytics 83

Analytics Measurement Dashboards Optimization 83

Smarten

JUNE 29, 2018

Based on these labels, the bank can easily make a decision on whether to give a loan to an applicant and the credit limit and interest rate for each applicant, based on the amount of risk. Use Case – 2. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

datapine

MARCH 15, 2019

An official information intelligence definition from IGI Global suggests: [Information intelligence is] the technique of turning large volumes of complex data into relevant and actionable intelligence in order to better manage risk and increase profitability. click to enlarge**. Primary KPIs : Treatment Costs.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

Smarten

JUNE 27, 2018

Business Benefit: The bank can decide which customer segments are eligible for any type of loan and the customer segments that should be denied any loan, as they are likely to default. In this way, the riskier customers are identified easily and bank can avert the risk of delinquencies. Use Case – 2. About Smarten.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

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