CIO Business Intelligence

SEPTEMBER 2, 2022

New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

MARCH 24, 2023

While the incentives for ESG are compelling, managing programs and demonstrating success are fraught with challenges. But by adhering to the right standards and using technology to better organize programs, financial firms can gain a clearer vision of their ESG operations and speed up progress toward their goals.

Risk Management 52

Risk Management Consulting Metrics Data Quality 52

CIO Business Intelligence

MAY 15, 2024

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. According to Stanford’s AI Index Report, released in April, 149 foundation models were released in 2023, two-thirds of them open source. And there are an insane number of variants.

Modeling 131

Modeling Risk Software Enterprise 131

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

erwin

SEPTEMBER 17, 2020

According to erwin’s “2020 State of Data Governance and Automation” report , close to 70 percent of data professional respondents say they spend an average of 10 or more hours per week on data-related activities, and most of that time is spent searching for and preparing data.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 112

Digital Transformation Strategy Data-driven Data Strategy 112

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

Ontotext

APRIL 21, 2021

The problem was the left hand had no way of knowing the systemic issues around data governance, risk management and compliance framework. One of the biggest, and costly failures, was the inability to produce reports for management and regulatory agencies. Many of these organisations have grown through acquisitions.

Metadata 59

Metadata Finance Cost-Benefit Data Quality 59

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. Currency amounts reported in Taiwan dollars.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

CIO Business Intelligence

APRIL 28, 2022

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. . compounded annual growth from 2019 to 2024. .

Analytics 80

Analytics Insurance Big Data Uncertainty 80

Sisense

SEPTEMBER 3, 2020

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. Data Analyst. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

Ontotext

JULY 6, 2023

Transaction and pricing data (e.g., Changing the game with knowledge graphs So how does knowledge graph technology help enterprises in the Financial Services Industry become data-driven? Let’s consider an example about risk and opportunity event detection. investments, acquisitions, issued Instruments, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Financial services firms have a rich tradition of being early adopters of many new technologies, and AI is no exception: Figure 1.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. As the facilitator of the #CIOChat, I get to have fascinating conversations with CIOs and other technology leaders. Recently, I dug in with CIOs on the topic of data security. Do we know the business outcomes tied to data risk management? What am I required to do?

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 81

Data Architecture Risk Management Risk Management 81

erwin

FEBRUARY 4, 2021

However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. So what’s holding organizations back from fully using their data to make better, smarter business decisions? Data Governance Bottlenecks.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Cloudera

SEPTEMBER 7, 2023

It’s the most revolutionary technological development in at least a generation. But it’s also fraught with risk. The reality of LLMs and other “narrow” AI technologies is that none of them is turn-key. Deploy a hybrid data platform. There’s one more thing.

Insurance 78

Insurance Risk Data-driven Finance 78

erwin

OCTOBER 24, 2019

Organizations are dealing with numerous data types and data sources that were never designed to work together and data infrastructures that have been cobbled together over time with disparate technologies, poor documentation and with little thought for downstream integration. Metadata Is the Heart of Data Intelligence.

Metadata 104

Metadata Management Data-driven Data Architecture 104

IBM Big Data Hub

DECEMBER 4, 2023

The platform has been used to modernize and unify the information technology (IT) ecosystem of major financial firms, simplify human capital management (HCM) across brands’ subsidiaries, and optimize reporting processes in complex healthcare settings. Data quality: Ensure migrated data is clean, correct and current.

Testing 77

Testing Consulting Digital Transformation Cost-Benefit 77

Octopai

JULY 12, 2020

An enormous amount of time was being wasted performing manual searches, as the BI team needed to frequently comb through the enterprise data warehouse’s fields to determine how each was calculated or to find their sources. Automated Data Lineage Helps BI & Analytics Understand Their Data.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. 2) Designing Data-Intensive Applications by Martin Kleppman. Not only is it comprehensive and thorough, but also comprehensible.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. BI is not just a technology initiative. Find out what is working, as you don’t want to totally scrap an already essential report or process. What data analysis questions are you unable to currently answer?

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Andrew White

JANUARY 11, 2021

What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples). So the material is not designed for IT – but spans business and technology. The fill report is here: Leadership Vision for 2021: Data and Analytics.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

AWS Big Data

AUGUST 14, 2023

In a similar vein, Bonsai artists must balance their vision for the shape of the tree with a respect for the natural characteristics and innate structure of the species they have chosen to work with—to ignore the biology of the tree would be disastrous to the longevity of the tree, as well as to the quality of the art itself.

Management 81

Management Risk Measurement Optimization 81

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