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

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 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

Smarten

JUNE 25, 2018

How Does an Enterprise Use the KMeans Clustering Algorithm to Analyze Data? 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. Once the algorithm has been run and the groups are defined, any new data can be easily assigned to the correct group.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

JUNE 29, 2018

How Can KNN Classification Help an Enterprise? Credit/Loan Approval Analysis – Given a list of client transactional attributes, the business can predict whether a client will default on a bank loan. KNN Classification analysis can be useful in evaluating many types of data. Use Case – 2. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

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. . DATA FOR ENTERPRISE AI. HYBRID & MULTI-CLOUD INNOVATION. PEOPLE FIRST. A new award category for 2021. DATA FOR GOOD.

Digital Transformation 70

Digital Transformation Machine Learning Optimization Data Lake 70

Jet Global

FEBRUARY 5, 2019

states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. 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. .

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

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

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

CIO Business Intelligence

MARCH 16, 2022

With competition for skilled IT workers getting tighter, it’s more important than ever for enterprises to be sure they’re spending on recruiting and retaining the right talent. This happens through reports like those published by the Reserve Bank of India, industry consulting majors, and technology papers among others,” he told CIO.com.

Forecasting 98

Forecasting Machine Learning Technology Enterprise 98

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

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 61

Risk Management Risk Recreation/Entertainment Machine Learning 61

datapine

APRIL 14, 2022

A few years later and with the advancement of AR technology, the retail enterprise decided to mutate their app into a new one called IKEA studio. 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. Behind the scenes.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

Cloudera

JANUARY 14, 2021

Retail grocers are committed to doing better, but food waste is still such a pervasive problem that only one supermarket chain earned a B on the food waste “report card” recently issued by the Center for Biological Diversity. Just a handful of chains earned Cs, while the rest of the country’s most recognizable grocery stores scored Ds or Fs.

Cost-Benefit 72

Cost-Benefit Digital Transformation Sales IoT 72

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

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

Rocket-Powered Data Science

JULY 14, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

datapine

MARCH 25, 2022

We already saw earlier this year the benefits of Business Intelligence and Business Analytics. In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Domino Data Lab

JULY 22, 2019

But for most enterprise, using machine learning…not really. Those workflows would feedback into your business analytics. What I’m trying to say is this evolution of system architecture, the hardware driving the software layers, and also, the whole landscape with regard to threats and risks, it changes things.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. Because modern BI platforms allow IT to deliver content to business people faster.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Jet Global

APRIL 9, 2021

How do you ensure data consistency across finance, sustainability, and investor relations for your reporting cycle? With huge investment in ERP systems for data consistency, teams still struggle with inconsistencies and errors caused by a manual reporting process based on copy and paste in Excel and Word. Your Speakers.

Reporting 52

Reporting Digital Transformation Finance Sales 52

Peter James Thomas

AUGUST 29, 2018

I know you have a strong background in Enterprise Data Management , how does the CDO role differ from this area? I guess that depends on how you determine the scope of Enterprise Data Management. On a day to day basis, we are aligned with the business units and the functional units so we have CDOs in all of these areas.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data. trillion gigabytes!

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

APRIL 15, 2020

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. This includes understanding the business questions to be answered through the BI system.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. Data for Enterprise AI. Enterprise Data Cloud.

Internet Publishing and Broadcasting 123

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 123

IBM Big Data Hub

SEPTEMBER 21, 2022

An expensive enterprise resource planning (ERP) implementation meant there was no money left for other systems, and we’d been forced to run our budget process on a complicated network of 27 linked spreadsheets. If there was ever an example of key-person risk, this was it. The company had been through tough times overall.

Analytics 56

Analytics Forecasting Risk Data-driven 56

Grooper

AUGUST 19, 2019

Modern era business stakeholders need current and relevant insights from across business units and processes. Traditional data sources like end of month statements and quarterly reports are no longer enough. Access to enterprise-wide information fuels analytics solutions and enable a new approach for decision making.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Cloudera

DECEMBER 21, 2020

Companies that digitize quickly and across their entire enterprise – by adopting hybrid cloud for instance – are able to adapt more effectively to the changing consumption trends. One way of countering that challenge is by adopting an enterprise data cloud solution, such as Cloudera Data Platform (CDP).

Data-driven 93

Data-driven Data Strategy Strategy Cost-Benefit 93

BizAcuity

APRIL 14, 2022

Did you know that the big data and business analytics market is valued at $198.08 Be it supply chain resilience, staff management, trend identification, budget planning, risk and fraud management, big data increases efficiency by making data-driven predictions and forecasts. Enterprise Big Data Strategy. billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

FineReport

APRIL 11, 2023

In today’s fast-paced business environment, making informed decisions based on accurate and up-to-date information is crucial for achieving success. With the advent of Business Intelligence Dashboard (BI Dashboard), access to information is no longer limited to IT departments.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 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. Now that we have described predictive and prescriptive analytics in detail, what is there left?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 101

Data Warehouse Data Lake Analytics Machine Learning 101

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI. Learn more at [link]. .

Data Lake 116

Data Lake Unstructured Data Data Warehouse Data Quality 116

Smarten

JULY 10, 2018

The article series is designed to help business users better understand the analytical techniques so that the average user can feel more confident in adopting, embracing and sharing these tools. Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 40

datapine

AUGUST 29, 2022

However, don’t be deceived – just as you don’t need to be a literal startup to gain a lot of value from Eric Ries’ work, companies of all sizes and shapes can learn a lot of valuable information from “Lean Analytics”. However, due to its vast application, predictive analytics should not concern only business professionals.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

SEPTEMBER 11, 2019

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. ML and AI topics claim top spots.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20