Jet Global

AUGUST 28, 2023

Following success with Power ON, insightsoftware takes strategic evolution, growth, and product enhancements to the next level with software to extend visual planning and write-back solution capabilities to Qlik users RALEIGH, N.C. –

Dashboards 75

Dashboards Visualization Finance Data Quality 75

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. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

FEBRUARY 20, 2024

Microsoft Copilot can bring to bear a range of capabilities to help manufacturers mitigate risk, manage their inventory, improve planning, and make informed decisions quickly across the entire supply chain. Copilot helps engineers generate code using natural language prompts, automates routine tasks, and improves design efficiency.

Manufacturing 98

Manufacturing Sales Risk Management Forecasting 98

Sisense

MAY 13, 2021

Despite analytics software being widely available for decades, adoption rates across organizations (even high-tech ones) are still abysmally low. Understanding the difference: Reports vs. analytic application. DNV is an independent expert in risk management and assurance, operating in more than 100 countries.

Reporting 59

Reporting Analytics Dashboards Key Performance Indicator 59

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry. billion by the end of 2021.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

APRIL 12, 2023

As the Security Awareness department in particular began developing product strategies to deliver data-driven insights to customers, we were clear on using existing analytics services to rapidly build customer-facing analytics solutions. Quick visualizations of learners’ scoring in Snack Attack! With Snack Attack!,

Dashboards 59

Dashboards Risk Data-driven Visualization 59

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. A key piece of legislation that emerged from that crisis was BCBS-239.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

CIO Business Intelligence

JULY 6, 2023

They use integration and analytics tools from the SAP Business Technology Platform along with the PwC best practices to link with client systems and provide a tool to meet the needs of both the goals and the laws. PwC set about building an innovative application to check the clients’ value chain.

Cost-Benefit 96

Cost-Benefit Risk Digital Transformation Risk Management 96

IBM Big Data Hub

JUNE 29, 2023

Learn more about IBM Planning Analytics Integrated business planning framework Integrated Business Planning (IBP) is a holistic approach that integrates strategic planning, operational planning, and financial planning within an organization. Continuously monitor and adjust Implement mechanisms to monitor performance against plans and targets.

Key Performance Indicator 76

Key Performance Indicator Forecasting Sales Data Integration 76

AWS Big Data

JANUARY 27, 2023

We provide the right governance technology that empowers our customers to act strategically while maintaining compliance, mitigating risk, and driving efficiency. The following screenshot shows an example of our Issues & Actions dashboard, designed for risk managers and audit managers, showing various issues in need of attention.

Data-driven 52

Data-driven Dashboards B2B Visualization 52

Octopai

JANUARY 19, 2020

Here’s a sampling: – Principle 1 covers data governance, including “a firm’s policies on data confidentiality, integrity, and availability, as well as risk-management policies.”. – Principles 7-11 include risk reporting, including the comprehensiveness, timeliness, usefulness, and accuracy of risk management reports. .

Metadata 61

Metadata Risk Management Business Intelligence Data Governance 61

CIO Business Intelligence

OCTOBER 3, 2023

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Business process management: an approach that makes a company’s workflow more effective, efficient and adaptable to new developments.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

AWS Big Data

FEBRUARY 13, 2023

As trusted advisors to card networks and Fortune 500 companies, we are known for our expertise in the areas of transaction risk management, chargeback mitigation, fraud prevention, and dispute intelligence. To date, we have helped businesses worldwide recover over $2 billion in lost revenue.

Dashboards 52

Dashboards Risk Management Forecasting Risk 52

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Business systems analyst.

Finance 98

Finance IT Software Reporting 98

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Cost Explorer helps you manage your AWS costs by giving you detailed insights into the line items in your bill. Michael Yitayew is a Product Manager for Amazon Redshift based out of New York.

Data Warehouse 83

Data Warehouse Management Snapshot Data Lake 83

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

CIO Business Intelligence

MARCH 24, 2023

SAS Data Management Built on the SAS platform, SAS Data Management provides a role-based GUI for managing processes and includes an integrated business glossary, SAS and third-party metadata management, and lineage visualization. One of its key capabilities, TrustCheck, provides real-time “guardrails” to workflows.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

APRIL 29, 2020

With all these diverse data sources, and if systems are integrated, it is difficult to understand the complicated data web they form much less get a simple visual flow. Analytics and reporting are data-dependent, making collaboration among different business groups and/or departments crucial. See: The Benefits of Data Governance.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Sisense

SEPTEMBER 3, 2020

That means that jobs in data big data and data analytics abound. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

MARCH 28, 2019

Simulation for mortgage analytics solution. If we look back a decade at Northern Rock, do you think that we’ve actually learned the lessons from that in terms of our analytics and what we’re doing in financial institutions? They also fail to model the effects of fear and the risk of contagion. Risk management 3.0.

Risk 74

Risk Management Risk Management Machine Learning 74

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. When integrated with EAM, digital twins offer the ability to simulate various operational scenarios and anticipate asset disruptions.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

erwin

AUGUST 20, 2020

It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. Data Security & Risk Management. EA empowers organizations to be proactive with security, instead of reactive, by identifying risks ahead of time. Think City Planning.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Ontotext

JULY 6, 2023

Case studies The risk and opportunity event detection use case discussed above combines all of Ontotext’s capabilities: storing and managing large amounts of data adding meaning to it (e.g.,, By promptly identifying and addressing risks, it enhances operational resiliency and enables proactive risk management.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. Build the bench. Avnet also partners with universities and other organizations to offer internships and junior placement opportunities.

IT 98

IT Data Science IoT Digital Transformation 98

IBM Big Data Hub

MAY 17, 2024

By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts. Experiential product information Al tools allow individuals to learn more about products through processes like visual search, taking a photograph of an item to learn more about it.

B2B 64

B2B Interactive Optimization Forecasting 64

IBM Big Data Hub

AUGUST 28, 2023

Data visualization techniques like word clouds, bar charts and network graphs can help you present the findings in a concise, visually appealing way. Crisis management and risk management: Text mining serves as an invaluable tool for identifying potential crises and managing risks.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Octopai

FEBRUARY 21, 2022

But since lucky stars are generally frowned upon as a risk management strategy, we highly recommend you plan out your cloud migration process. Data migrations aren’t simple, but if you make smart preparations and conduct the migration wisely, you’ll be able to celebrate with a bottle of champagne sooner than you think. 1) Plan it out.

Recreation/Entertainment 78

Recreation/Entertainment Cost-Benefit ROI Reporting 78

AWS Big Data

JANUARY 31, 2024

We show you how to access data, define custom functions to apply on data, query and filter the dataset, and visualize the results of the analysis, all without having to worry about setting up infrastructure or configuring Spark, even for large datasets. In the Analytics engine section, select Apache Spark.

Marketing 82

Marketing Analytics Visualization Strategy 82

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. This results in enhanced efficiency in compliance processes.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Artificial Intelligence Analytics. Uncertain economic conditions.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Market sentiment analysis : Events can significantly influence market sentiment.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

erwin

FEBRUARY 20, 2020

EA and BP modeling are both critical for risk management and regulatory compliance, a major concern for financial services customers like the one above when it comes to ever-changing regulations on money laundering, fraud and more.

Enterprise 128

Enterprise Modeling Dashboards Digital Transformation 128