BizAcuity

MAY 4, 2021

In today’s data-powered world with data fueling everything from essential management systems to customer-focused AI solutions , one thing that often gets in the way is data fragmentation. . Why Data integration plays a vital role for gaming companies? How To Minimize Cost In Online Gaming Using Data Integration.

Data Integration 40

Data Integration Cost-Benefit Optimization Behavioral Analytics 40

CIO Business Intelligence

APRIL 1, 2024

Deloitte 2 meanwhile found that 41% of business and technology leaders said a lack of talent, governance, and risks are barriers to broader GenAI adoption. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key. Low-cost proof-of-concepts can help you reduce the risk of overprovisioning.

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

IBM Big Data Hub

JUNE 29, 2023

By integrating financial planning with strategic and operational planning, organizations can evaluate financial profitability, identify potential gaps or risks, and make necessary adjustments to achieve financial targets. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 85

Key Performance Indicator Forecasting Data Integration Sales 85

CIO Business Intelligence

JANUARY 11, 2024

“Our internal data and adherence to process is where our focus is, and we don’t necessarily want to leap ahead until we feel like we have a stable footing there.” Ensuring data integrity is part of a broader governance approach organizations will require to deploy and manage AI responsibly.

Enterprise 128

Enterprise Uncertainty Risk Management Reporting 128

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

JUNE 13, 2023

Only the people and organizations you want to grant access to, along with local authorities, have the right to see your data. Not even the sovereign cloud provider can access your data – lowering your risk of cyberattack, chance of downtime, and persistent resources needed to keep your cloud up and running. February 2021 3.

Digital Transformation 98

Digital Transformation Data Integration Risk Marketing 98

Smarten

OCTOBER 10, 2023

Gartner defines Data and Analytics (D&A) as, ‘…the ways organizations manage data to support all its uses, and analyze data to improve decisions, business processes and outcomes, such as discovering new business risks, challenges and opportunities.’

Reporting 67

Reporting Analytics Forecasting Data Integration 67

DataKitchen

OCTOBER 20, 2023

Example 2: The Data Engineering Team Has Many Small, Valuable Files Where They Need Individual Source File Tracking In a typical data processing workflow, tracking individual files as they progress through various stages—from file delivery to data ingestion—is crucial.

Insurance 176

Insurance Metadata Data-driven Data Quality 176

CIO Business Intelligence

MARCH 4, 2024

Data fabric introduces an intelligent semantic layer that orchestrates disparate data sources, applications, and services into a unified and easily accessible framework. Enabled via a data integration hub, the data fabric architecture connects, organizes, and manages data, providing a consistent view across the data ecosystem.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

IBM Big Data Hub

MARCH 25, 2024

As described in the IBM Institute for Business Value study, an ad hoc “Frankenstein” like system that engages a variety of platforms and tools, can turn to a consolidated system and operating model to meet the increasing demand for more and more data integration, content generation, and intelligent automation.

Uncertainty 106

Uncertainty Cost-Benefit Risk Measurement 106

Octopai

MAY 15, 2023

By analyzing this information, organizations can optimize their infrastructure and storage strategies, avoiding unnecessary storage costs and efficiently allocating resources based on data usage patterns. Data integration and ETL costs: Large organizations often deal with complex data integration and Extract, Transform, Load (ETL) processes.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

CIO Business Intelligence

JANUARY 9, 2024

[Our firm’s leaders] wanted to make sure there were guidelines in place to protect the company, its data, and its people.” To get past those points, Colisto worked to educate leaders about the capabilities and risks of AI, seeking to move the company from “no to know.” What is our appetite for risk and how do we address it?

IT 140

IT Risk Cost-Benefit Enterprise 140

CIO Business Intelligence

JANUARY 19, 2024

By automating and standardizing data input and integration and achieving an end-to-end view of its supply chain, the company has been able to predict and plan for potential disruptions or events more effectively.

Forecasting 122

Forecasting IT Digital Transformation Machine Learning 122

AWS Big Data

APRIL 29, 2024

This system simplifies managing user access, saves time for data security administrators, and minimizes the risk of configuration errors. Addressing big data challenges – Big data comes with unique challenges, like managing large volumes of rapidly evolving data across multiple platforms.

Management 92

Management Big Data Metadata Data Warehouse 92

IBM Big Data Hub

JANUARY 11, 2024

Some enterprises tolerate zero RPO by constantly performing data backup to a remote data center to ensure data integrity in case of a massive breach. Reduced costs: According to IBM’s recent Cost of Data Breach Report , the average cost of a data breach last year was USD 4.45

Cost-Benefit 104

Cost-Benefit Risk Enterprise Software 104

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Cost-Benefit 65

Cost-Benefit Digital Transformation Data Governance Unstructured Data 65

Smart Data Collective

JUNE 1, 2022

The International Association of Privacy Professionals reports that there were 1,862 data breaches in 2021 alone. Organizations must make data security a top priority. Those that do not risk bankruptcy, as the costs of data breaches are horrifying. Rising Data Breaches Have Made Greater Data Security a Necessity.

Revenue Optimization 138

Revenue Optimization Measurement Marketing Interactive 138

FineReport

APRIL 9, 2024

Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

IBM Big Data Hub

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

Cost-Benefit 98

Cost-Benefit Testing Risk Strategy 98

Smart Data Collective

MAY 23, 2021

Client Risk Profile Categorization. The financial status of an individual is revealed in their risk profile. Artificial intelligence systems help in the automation of profiling of customers and can seek easily which are risk profile. As a result, years of human searching work in hundreds of record rooms have been replaced.

Insurance 119

Insurance Machine Learning Cost-Benefit Data-driven 119

IBM Big Data Hub

SEPTEMBER 6, 2023

Unanticipated risks Good budgeting plans for risks. Using an old budget can result in inadequate hedging strategies, poor financial decisions, exposure to unfavorable currency fluctuations or misjudged credit risks. Since data from different sources is instantly merged and processed, delays become a thing of the past.

Forecasting 89

Forecasting Marketing Risk Sales 89

erwin

JANUARY 11, 2019

The sad truth is that high-paid knowledge workers like data scientists spend up to 80 percent of their time finding and understanding source data and resolving errors or inconsistencies, rather than analyzing it for real value. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

IBM Big Data Hub

AUGUST 23, 2023

This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. It is the foundation for any AI Governance practice and is crucial in mitigating a number of enterprise risks. The problem is that these use cases require training LLMs on sensitive proprietary data.

Data Governance 57

Data Governance Enterprise Modeling Risk 57

Smart Data Collective

OCTOBER 26, 2023

AI poses a number of benefits and risks for modern businesses. A successful breach can result in loss of money, a tarnished brand, risk of legal action, and exposure to private information. Cybersecurity aims to stop malicious activities from happening by preventing unauthorized access and reducing risks.

Technology 93

Technology Risk Measurement IoT 93

DataKitchen

FEBRUARY 27, 2024

Challenges in Developing Reliable LLMs Organizations venturing into LLM development encounter several hurdles: Data Location: Critical data often resides in spreadsheets, characterized by a blend of text, logic, and mathematics.

Data Quality 120

Data Quality Unstructured Data Testing Modeling 120

Smart Data Collective

JANUARY 21, 2021

Therefore, to mitigate the risk of losing essential data forever in a data breach or other crisis, every competitive firm should work on its backup strategy to keep such information safe from violation. This is one of the biggest causes of data breaches. What Are the Potential Risks for Your Business?

Strategy 125

Strategy Risk Software Enterprise 125

IBM Big Data Hub

JANUARY 10, 2024

This ensures that financial data and transactions are processed within security-rich enclaves, shielding them from external threats. The potential financial losses and threats to the integrity of digital ecosystems demand a robust solution that goes beyond conventional security measures.

Data Processing 78

Data Processing Risk Modeling Cost-Benefit 78

BizAcuity

NOVEMBER 22, 2022

Although Snowflake is great at querying massive amounts of data, the database still needs to ingest this data. Data ingestion must be performant to handle large amounts of data., and without that, you run the risk of querying outdated values and returning irrelevant analytics.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 69

Data Quality Data Integration Metadata Cost-Benefit 69

CIO Business Intelligence

FEBRUARY 16, 2024

Furthermore, CIOs will need to partner with large language model (LLM) developers to fine-tune GenAI algorithms based on the business use and the ease with which these models can be integrated with their existing data layer fabric.

Strategy 138

Strategy Insurance Digital Transformation Enterprise 138

FineReport

APRIL 9, 2024

Moreover, BI platforms provide the means for organizations to harness their data assets effectively, leading to improved customer satisfaction through personalized services and targeted marketing initiatives. This includes structured, unstructured, and real-time data, ensuring that the platform can handle diverse data types effectively.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

JULY 28, 2023

As an independent software vendor (ISV), we at Primeur embed the Open Liberty Java runtime in our flagship data integration platform, DATA ONE. Primeur and DATA ONE As a smart data integration company, we at Primeur believe in simplification.

Data Integration 61

Data Integration Optimization Software Insurance 61

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. 9] See: Teach/Me Data Analysis. [10] Sensitivity analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Jedox

SEPTEMBER 3, 2020

The new normal introduced new risks from employee health and safety, supply chain stress and government mandates – all with working capital implications. Cloud scenario planning platforms can now capture financial data and sub-ledger transactions in real time to provide constant feedback on cost and revenue.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81