CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 131

IT Risk Cost-Benefit Risk Management 131

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Smart Data Collective

SEPTEMBER 28, 2021

Security and protection are the most important aspects for a business, given the recent growth in data thefts and loss of valuable data. There are IoT solutions that can assist them in collecting data and performing analytics for inventory management. l Improved Risk Management.

IoT 132

IoT Internet of Things Cost-Benefit Consulting 132

CIO Business Intelligence

SEPTEMBER 7, 2023

First, there is the need to properly handle the critical data that fuels defense decisions and enables data-driven generative AI. Organizations need novel storage capabilities to handle the massive, real-time, unstructured data required to build, train and use generative AI. billion by 2032.

Unstructured Data 105

Unstructured Data Cost-Benefit Risk Data-driven 105

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 65

B2B Interactive Optimization Forecasting 65

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. Data Scientist-Driven Breakout Sessions.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

CIO Business Intelligence

OCTOBER 3, 2023

Another research company, Mordor Intelligence, is forecasting annual CAGR of 19.8 They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. They may comprise numerous steps, decision points and data sources.

Cost-Benefit 109

Cost-Benefit Machine Learning Interactive Software 109

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. As it’s engineered to rapidly perform advanced calculations and serve data, it was a big selling point for us.

Dashboards 52

Dashboards Risk Management Forecasting Risk 52

erwin

APRIL 29, 2020

Data lineage is the journey data takes from its creation through its transformations over time. Tracing the source of data is an arduous task. 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.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

CIO Business Intelligence

APRIL 12, 2022

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making. That brings us to the value of timely data and analytics.

IoT 103

IoT Analytics Manufacturing Cost-Benefit 103

Jet Global

AUGUST 20, 2019

The key to achieving stability and predictability is to have the right processes and technology in place to help you manage and forecast your cash flow. Traditionally, a cash flow statement is compiled using Excel-based manual data processing. Intelligent Forecasting. Data Management.

Forecasting 68

Forecasting Business Intelligence Reporting Software 68

IBM Big Data Hub

JULY 27, 2023

Understanding enterprise asset management At its core, enterprise asset management (EAM) is a system designed to help organizations manage physical assets (e.g., It offers a holistic view, providing critical data about asset condition, location and efficiency. equipment, machinery and infrastructure).

Cost-Benefit 55

Cost-Benefit IoT Internet of Things Enterprise 55

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

bridgei2i

JULY 15, 2020

In the wake of this situation, companies that have protocols related to risk management and agility in management decisions are primed for success. Risk Management Procedures. Businesses with a sizable digital portfolio that are equipped with robust risk management protocols will be able to stay ahead of the pack.

Testing 52

Testing KPI Risk Management Measurement 52

bridgei2i

APRIL 29, 2020

In the wake of this situation, companies that have protocols related to risk management and agility in management decisions are primed for success. Risk Management Procedures. Businesses with a sizable digital portfolio that are equipped with robust risk management protocols will be able to stay ahead of the pack.

KPI 52

KPI Risk Management Measurement Forecasting 52

Alation

OCTOBER 26, 2021

Today’s best-performing organizations embrace data for strategic decision-making. 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. This is because accurate data is “table stakes” for finance teams.

Finance 52

Finance Data Transformation Enterprise Metrics 52

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

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Moreover, there should be a powerful data management and analytics pipeline for operational usage. If you would like to strengthen your data and BI strategy, BizAcuity can help you with the same.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

CIO Business Intelligence

JUNE 26, 2023

Transitioning to automated, data-driven processes is the best way for these companies to not only cope with change but also take advantage of it. Consumer banks can use digital interactions to gather more customer data and apply real-time analytics to expand services and speed up processes.

Data-driven 95

Data-driven Insurance Risk Risk Management 95

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

bridgei2i

JULY 28, 2020

And monitor those models, software engineers, data analysts, system administrators, and then there’s that whole process of troubleshooting and debugging, which is huge because the system is not going to run perfectly. More efficient, more scalable systems are going to be able to handle more data. We need people who can test.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Smart Data Collective

AUGUST 30, 2023

The study indicates that over one-third of non-PSA users are poised to transition to a PSA system within the next three years, aligning with forecasts that the PSA market will double during this period. They empower organizations to make data-driven, educated decisions. Why Do Businesses Seek to Use PSA Systems?

Software 91

Software Technology Consulting Forecasting 91

DataRobot Blog

SEPTEMBER 13, 2022

According to IDC , 83% of CEOs want their organizations to be more data-driven. Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do? What Do Data Scientists Do? Data scientists drive business outcomes. Awareness and Activation.

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52

Cloudera

SEPTEMBER 7, 2023

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.

Insurance 85

Insurance Risk Data-driven Finance 85

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Combined, it has come to a point where data analytics is your safety net first, and business driver second. These industries accumulate ridiculous amounts of data on a daily basis. AI Adoption and Data Strategy. AI for Business.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

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

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. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

APRIL 15, 2024

A smaller number (16% of IT leaders and 11% of LOB) sought out CIO consultation to help evaluate and advise on choices using a risk management or governance lens. Generative AI is a major focus, with more than half of IT leaders (58%) driving alignment with LOB on adoption and use of the emerging technology.

Digital Transformation 124

Digital Transformation Strategy Technology Enterprise 124

Jet Global

APRIL 25, 2024

With multitudes of regulations surrounding everything from reporting to data security, organizations can quickly become overwhelmed. This requirement includes establishing financial reporting standards, ensuring data security controls, monitoring attempted breaches, keeping track of electronic records for audits, and demonstrating compliance.

Reporting 52

Reporting Risk Management Risk Software 52

Jet Global

NOVEMBER 15, 2021

For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, ranging from traditional KPIs such as effective tax rate, filing timelines, financial risk management, etc.; Good quality data can help the organization avoid audit adjustments.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

APRIL 5, 2021

Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. Executives typically use financial models to make decisions regarding: Budgeting and forecasting. Risk management. That being said, one model can’t do it all. Organic business growth.

Modeling 98

Modeling Forecasting Metrics Finance 98

Jet Global

MARCH 2, 2022

ESG reporting is the process of disclosing data by a company or organization about its environmental, social, and governance impacts. Human capital management and development. Privacy and data security. As such, there are no formal requirements that require companies and organizations to report and provide their ESG data.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

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