IBM Big Data Hub

JUNE 10, 2024

XaaS models offer organizations greater predictability and transparency in cost management by providing detailed billing metrics and usage analytics. Outsourcing infrastructure management Maintaining and managing on-premises infrastructure for AI workloads can be resource-intensive and costly.

Experimentation 63

Experimentation Optimization Risk Management Modeling 63

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. Data analytics are now very crucial whenever there is a decision-making process involved. Analytics and big data play a critical role when it comes to the financial industry. Perks Associated with Big Data.

Big Data 142

Big Data Finance Risk Management Risk 142

Smart Data Collective

JUNE 24, 2021

Data analytics has dramatically upended our lives. One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. More cybersecurity professionals are employing it as they discover the importance of data analytics in stopping cyberattacks.

Data Analytics 90

Data Analytics Analytics Internet of Things Measurement 90

IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. In addition to enhanced decision-making, flexibility and visibility, analytics engines paired with AI can help manage supplier risk.

Strategy 95

Strategy Technology Cost-Benefit Risk Management 95

CIO Business Intelligence

JUNE 21, 2022

CIOs frequently launch strategic initiatives without fully considering all the risks involved. By that time, governance structures are rushed and risk mitigation measures lose their effectiveness.”. Many enterprises continue to base their IT governance on cost and performance service level agreement (SLA) metrics.

IT 112

IT Risk Measurement Risk Management 112

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. Advanced software tools can automate some parts of forecasting, providing real-time updates and alerts when inventory levels are too high or low.

Strategy 81

Strategy Management Forecasting Cost-Benefit 81

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

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

IBM Big Data Hub

FEBRUARY 13, 2024

They also factor in how a strong partnership could reduce supply chain risk and advance sustainability. Such analysis and decision-making are often optimized with the help of various technologies, including artificial intelligence tools and data analytics platforms.

Cost-Benefit 78

Cost-Benefit Scorecard Risk Recreation/Entertainment 78

CIO Business Intelligence

APRIL 21, 2022

Combining Agile and DevOps with elements such as cloud, testing, security, risk management and compliance creates a modernized technology delivery approach that can help an organization achieve greater speed, reduced risk, and enhanced quality and experience.

Digital Transformation 134

Digital Transformation Key Performance Indicator Risk Testing 134

Alation

OCTOBER 26, 2021

Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. Recent articles extol the benefits of supercharging analytics for finance departments 1. They need trusted data to drive reliable reporting, decision-making, and risk reduction.

Finance 52

Finance Data Transformation Enterprise Metrics 52

IBM Big Data Hub

DECEMBER 13, 2023

Additional goals might be risk management and mitigation, supplier relationship management and sustainability considerations. Procure-to-pay (P2P) software links procurement practices to accounts payable and can streamline steps such as supply management, purchase orders and invoicing.

Strategy 65

Strategy Cost-Benefit Key Performance Indicator Consulting 65

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. Intuitive navigation, customizable dashboards, and self-service analytics are factors that enhance the ease of use.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 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. Our analytics solutions differentiate us from existing enterprise products.

Dashboards 59

Dashboards Risk Data-driven Visualization 59

Sisense

SEPTEMBER 3, 2020

That means that jobs in data big data and data analytics abound. They also put together custom database queries to answer the questions of business users, implement new metrics from existing data, strive to improve data quality, and contribute to correct acquisition of new data. We live in a constantly-evolving world of data.

Statistics 97

Statistics Metrics Visualization Finance 97

Jet Global

MAY 11, 2021

May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support. RALEIGH, N.C. – Visit insightsoftware.com for more information.

Finance 98

Finance Technology Forecasting Uncertainty 98

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy more models, it’s becoming clear that we will need to think beyond optimizing statistical and business metrics. How to build analytic products in an age when data privacy has become critical”.

Machine Learning 224

Machine Learning Risk Management Statistics 224

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

Cloudera

AUGUST 25, 2020

Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon. To capture the importance of sequencing of events.

Prescriptive Analytics 74

Prescriptive Analytics Technology Machine Learning Risk 74

CIO Business Intelligence

MARCH 13, 2024

At Gallagher, a global insurance brokerage, risk management, and consulting services firm, executive search practice managing director Tom Wilson says his team uses gen AI for research and written communications. Consultants needed to use creativity, analytical skills, persuasiveness, and writing skills to carry out these tasks.

IT 126

IT Consulting Testing Cost-Benefit 126

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

IBM Big Data Hub

AUGUST 28, 2023

Evaluate the performance of the text-mining models using relevant evaluation metrics and compare your outcomes with ground truth and/or expert judgment. 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

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

IBM Big Data Hub

JULY 12, 2023

Team members discuss possible risks, analyze the risk impact of each one and propose courses of action to increase their overall preparedness. RTO is usually measured with a simple time metric, such as days, hours or minutes.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

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

IBM Big Data Hub

FEBRUARY 8, 2024

” European Parliament News The EU AI Act in brief The primary focus of the EU AI Act is to strengthen regulatory compliance in the areas of risk management, data protection, quality management systems, transparency, human oversight, accuracy, robustness and cyber security.

Risk Management 72

Risk Management Risk Metrics Machine Learning 72

Jet Global

JANUARY 11, 2021

There are obviously some core functions associated with the CFO position, such as producing clear, accurate financial statements, attending to cash flow and the efficient use of working capital , risk management, responsibility for tax and compliance , and ensuring that the necessary internal controls are in place.

Analytics 75

Analytics Key Performance Indicator Finance Risk Management 75

AWS Big Data

JANUARY 31, 2024

Capturing every single message is critical for transaction cost analytics, market liquidity monitoring, trading strategy evaluation, and market research. In the Analytics engine section, select Apache Spark. OPRA stands out as one the most voluminous feeds, with a peak of 150.4

Marketing 84

Marketing Analytics Visualization Strategy 84

IBM Big Data Hub

APRIL 4, 2024

By connecting workflow management, centralizing data management , and fostering collaboration and communication, BPM enables organizations to remain competitive by providing access to accurate and timely data. BPM can also provide real-time visibility into claim status and performance metrics.

Management 54

Management Cost-Benefit Metrics Consulting 54

Domino Data Lab

AUGUST 10, 2021

Apache Spark: is an open-source unified analytics engine designed for scaling data processing requirements. This can be done automatically using the Domino Model Monitor platform by specifying model accuracy metrics and then having the platform notify you if the model performs outside of those metrics.

Modeling 64

Modeling IT Risk Management Deep Learning 64

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. If there is no forward-looking predictive component to the use case, it can probably be addressed with analytics and visualizations applied to historical data.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Smart Data Collective

NOVEMBER 19, 2021

Many developers have also started building tools for cryptocurrencies, such as trading platforms, digital wallets (an XMR wallet being only one of many examples), and data analytics tools. Blockchain has been a saving grace for investors concerned about risk management. They Can Help Diversify Portfolios.

Risk 123

Risk Risk Management Metrics Marketing 123

Cloudera

MAY 18, 2021

With Flink SQL, business analysts, developers, and quants alike can quickly build a streaming pipeline to perform complex data analytics in real time. Value-at-Risk (VaR) is a widely used metric in risk management. This practice was prevalent in risk management ever since JP Morgan invented VaR in the 1980s.

Risk 99

Risk Marketing Risk Management Data-driven 99

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 81

Strategy Data-driven Interactive Digital Transformation 81

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

FEBRUARY 3, 2023

He says that IT remains largely in-house across helpdesk, data analytics, cybersecurity and development, bar small pockets of outsourced capability for software development and testing, and suggests that business growth hasn’t been the only challenge—not least in the days after Queen Elizabeth II’s death last September. “We

IT 52

IT Experimentation Scorecard Digital Transformation 52