IBM Big Data Hub

JANUARY 30, 2024

For inspiration, look across industries to uncover examples of data center success. Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management.

Manufacturing 78

Manufacturing Business Objectives Optimization Risk Management 78

CIO Business Intelligence

OCTOBER 17, 2022

DORA’s uniform requirements for the security of network and information systems encompass not only enterprises in the financial sector, but also critical third-party vendors providing information and communications technology–related services to the financial sector, such as cloud platforms and data analytics. Meeting the Challenges.

Risk Management 105

Risk Management Risk Enterprise Testing 105

Jet Global

AUGUST 28, 2023

Through its cloud-based team collaboration management software, Vizlib enables users to take their dashboarding, reporting, and project planning to new levels, driving data literacy and accelerating speed to insight across teams and organizations. Learn more at insightsoftware.com.

Dashboards 75

Dashboards Visualization Finance Data Quality 75

Smart Data Collective

JULY 4, 2021

What Machine Learning Means to Asset Managers. On the finance side of businesses, asset management firms are utilizing machine learning with computerized maintenance management systems (CMMS) and data analytics to manage digital assets. Risk Management. For Non-Tech Users.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

Smart Data Collective

JUNE 19, 2022

Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. AI is particularly helpful with managing risks. Many suppliers are finding ways to use AI and data analytics more effectively.

Risk 133

Risk Cost-Benefit Risk Management Manufacturing 133

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. Skill gap: hyperautomation requires a diverse skill set that includes process analysis, data analytics, AI, RPA and more.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. The implementation of Big Data has huge potential in the healthcare industry , and the past few years are only the beginning.

Big Data 84

Big Data Recreation/Entertainment Cost-Benefit Finance 84

Smart Data Collective

MARCH 27, 2023

Our lives are being affected by big data more than ever. Therefore, it should be no surprise that the big data analytics market is projected to be worth $655 billion by 2027. However, the rise of big data has also led to greater security risks. Businesses need to bolster their data security as a result.

Big Data 94

Big Data Risk Risk Management Finance 94

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. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! They then translate those needs into system specifications and look for the most attractive financing options for such systems.

Statistics 97

Statistics Metrics Visualization Finance 97

Smart Data Collective

AUGUST 19, 2023

Data analytics technology has significantly improved the state of finance. The financial analytics market size was worth $7.99 We have talked about some of the many ways that data analytics technology is changing the state of finance. Risk is an ever-present companion in the world of finance.

Risk 86

Risk Data Analytics Analytics Finance 86

Smart Data Collective

AUGUST 31, 2023

Data analytics has had a tremendous impact on the financial sector in recent years. Therefore, it should be no surprise that the market for financial analytics is projected to be worth nearly $19 billion by 2030. There are a ton of great benefits of using data analytics in finance.

ROI 96

ROI Data Analytics Analytics Risk 96

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.

Prescriptive Analytics 70

Prescriptive Analytics Technology Machine Learning Risk 70

Smart Data Collective

DECEMBER 15, 2020

You can significantly increase the profitability of your trades by investing in top-of-the-line analytics technology. How Can Data Analytics Assist with Stock Trading. It is going to be a lot easier to trade effectively with new data analytics tools. Do your research with analytics tools.

Data Analytics 66

Data Analytics Analytics Big Data Risk 66

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. These industries accumulate ridiculous amounts of data on a daily basis.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

datapine

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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. In this article, we will be using synthetic market data generated by an agent-based model (ABM) developed by Simudyne. Intraday VaR. Image Source: [link].

Risk 94

Risk Marketing Risk Management Data-driven 94

bridgei2i

FEBRUARY 28, 2020

The firm has a new personal finance app Mimo, which uses open-banking application programming interfaces, artificial intelligence (AI) and data analytics to create a social feed that helps customers manager their money.”. Gartner estimates say 80% of traditional banks as we know it will die over the next decade.

Risk Management 78

Risk Management Unstructured Data Machine Learning Digital Transformation 78

IBM Big Data Hub

JANUARY 30, 2024

Data silos: With data spread across multiple clouds and platforms, an organization risks creating data silos. Data silos cause visibility issues and can negatively impact data analytics by preventing teams from sharing a holistic view of consolidated data to collaborate and make business decisions.

Strategy 99

Strategy Cost-Benefit Risk Optimization 99

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Improved risk management: Another great benefit from implementing a strategy for BI is risk management.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Andrew White

JANUARY 11, 2021

Which industry, sector moves fast and successful with data-driven? Government, Finance, … Tough question…mostly as it’s hard to determine which industry due to different uses and needs of D&A. What’s your view in situation where the IT function still reports to CFO (Finance Director)? Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

Enterprise 143

Enterprise Technology Consulting Software 143

Jet Global

JULY 28, 2023

To find out more about the state of Finance in 2023, insightsoftware partnered with Hanover Research to survey accounting and finance decision-makers on the most pressing trends of the year. Here, we discuss how factors like market uncertainty and IT dependence impact finance teams throughout EMEA.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

JULY 31, 2022

Recent global crises have permanently changed the face of finance. Still adapting to a rapidly changing market, organizations are striving to embed data processes that can help guide them through these uncertain times. In the wake of these changes, the finance function has transitioned to a more forward-looking approach as well.

Finance 52

Finance Forecasting Operational Reporting Reporting 52

Jet Global

NOVEMBER 16, 2022

management satisfaction. Compliance Risk Management. Also known as integrity risk, compliance risk management can help your company navigate properly through the hoops of your industry’s laws and regulations. These might includes measurements related to: the intellectual resources of the company.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52