CIO Business Intelligence

APRIL 16, 2024

With the emergence of GenAI capabilities, fast-tracking digital transformation deployments are likely to change manufacturing as we know it, creating an expanding chasm of leaders versus followers, the latter of which will risk obsolescence. However, despite the benefits of GenAI, there are some areas of risk. Data quality dependence.

Manufacturing 142

Manufacturing Digital Transformation Risk Dashboards 142

CIO Business Intelligence

JUNE 21, 2024

IT leaders can take these first steps to get started: Identify the critical legacy data sources needed for each AI use case Replicate isolated legacy data sources into a unified, cloud-based data lake. Ensure a unified data governance layer for data quality, profiling, and compliance.

IT 110

IT Risk Data Lake Testing 110

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. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

datapine

APRIL 15, 2020

When encouraging these BI best practices what we are really doing is advocating for agile business intelligence and analytics. Therefore, we will walk you through this beginner’s guide on agile business intelligence and analytics to help you understand how they work and the methodology behind them.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Jen Stirrup

AUGUST 14, 2019

What is Data Debt? Data debt is like technical debt, only visible in bad data, poor data quality, and an underuse of data-oriented technology to help make better decisions. There are risks if the departments cannot work together. Blueprint for paying back data debt.

Business Intelligence 40

Business Intelligence Finance IT Cost-Benefit 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. Right-size your model(s). Choose a workload location.

Uncertainty 142

Uncertainty Data Lake Consulting Risk 142

datapine

MAY 31, 2022

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. We mentioned the hot debate surrounding data protection in our definitive business intelligence trends guide. Cost management and containment.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

CIO Business Intelligence

DECEMBER 8, 2023

Minimizing risk Many companies are starting to invest in mitigating risk. Continually upgrade data quality. When training LLMs, IT teams should validate the data to ensure it is high quality, relevant, and comprehensive. For more insights about innovating with AI, while minimizing the risks, visit The Works.

Risk 117

Risk Finance Data Quality Modeling 117

CIO Business Intelligence

AUGUST 15, 2024

Many of those gen AI projects will fail because of poor data quality, inadequate risk controls, unclear business value , or escalating costs , Gartner predicts. CIOs should first launch internal projects with low public-facing exposure , which can mitigate risk and provide a controlled environment for experimentation.

ROI 142

ROI Cost-Benefit Experimentation Deep Learning 142

Octopai

JANUARY 19, 2020

BCBS 239 is a document published by that committee entitled, Principles for Effective Risk Data Aggregation and Risk Reporting. The document, first published in 2013, outlines best practices for global and domestic banks to identify, manage, and report risks, including credit, market, liquidity, and operational risks.

Metadata 89

Metadata Risk Management Business Intelligence Data Governance 89

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Data Quality.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

Business Analytics 102

Business Analytics Analytics Data Quality Big Data 102

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 85

Strategy Data Architecture Cost-Benefit Reporting 85

CIO Business Intelligence

MAY 2, 2023

The risk of derailments increases as I hear inconsistent answers or too many conflicting priorities. But there are common pitfalls , such as selecting the wrong KPIs , monitoring too many metrics, or not addressing poor data quality. The five derailments I focus on here fall within the CIO’s responsibilities to address.

Digital Transformation 141

Digital Transformation IT Data-driven Metrics 141

CIO Business Intelligence

AUGUST 9, 2024

The alternative to synthetic data is to manually anonymize and de-identify data sets, but this requires more time and effort and has a higher error rate. The European AI Act also talks about synthetic data, citing them as a possible measure to mitigate the risks associated with the use of personal data for training AI systems.

Risk 138

Risk Measurement Modeling Data Lake 138

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

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Jet Global

FEBRUARY 5, 2019

states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. This poor data quality translates into an average of $15 million per year in a ripple effect of financial loss, missed opportunities, and high-risk decision making. Because bad data is the reason behind poor analytics. .

Data Warehouse 69

Data Warehouse Data Quality Business Intelligence Data Governance 69

CIO Business Intelligence

APRIL 4, 2024

“The cost of implementing and running AI models can be quite high, so you have to be really careful in assessing the business worthiness of AI use cases,” he says. The bank is also looking at AI to help streamline internal operations and gain efficiencies, including building custom models specifically tailored to the business’ needs.

Enterprise 132

Enterprise Cost-Benefit Forecasting Sales 132

CIO Business Intelligence

DECEMBER 19, 2023

Third, in the CDO Agenda: 2024: Navigating Data and Generative AI Frontiers , 57% of respondents haven’t changed their data environments to support generative AI. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

CIO Business Intelligence

JULY 10, 2024

As the CIO of Beyond Bank, one of the largest customer-owned banks in Australia, Stevie-Ann Dovico is at the nexus of the business, from banking and technology, to data and business intelligence, all of which fuels the person-to-person customer experience and promotes financial well-being.

Strategy 112

Strategy Cost-Benefit Uncertainty Technology 112

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 135

Data Strategy Strategy Unstructured Data Data Governance 135

CIO Business Intelligence

JULY 3, 2024

Fozard says the act of balancing cost and risk with the potential value add is like a teeter-totter approach. Then the council starts looking at those high priority projects to make sure they can protect everything the university needs to protect, including intellectual property, research aspirations, user privacy, and sensitive data.

Risk 130

Risk Software Management IT 130

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

CIO Business Intelligence

JULY 29, 2024

Data quality issues All AI success is dependent on the quality of the data it processes. Unfortunately, in many organizations, identity data tends to be disorganized, outdated, and inaccurate. This is the cornerstone of security and compliance at every organization.

Management 79

Management Data Quality Modeling Data Science 79

CIO Business Intelligence

FEBRUARY 8, 2024

Developers need tools and resources to produce quality, safe, and secure products, while enterprises need to trust the tools and resources to not introduce risk to their business. AIs are more than the base knowledge or underlying “data” layer of the LLM or its “experience” layer.

Cost-Benefit 114

Cost-Benefit Experimentation Interactive Risk 114

CIO Business Intelligence

MAY 8, 2024

When somebody leaves, you need to ensure all access is removed and everything is returned back to the business. All of this stems from understanding where your data is. Then comes risk assessment and identifying risks of confidentiality breaches, or the system becoming unavailable and affecting the overall strategy.

Risk 107

Risk Testing Strategy Technology 107

CIO Business Intelligence

JUNE 9, 2023

A few years ago, Gartner found that “organizations estimate the average cost of poor data quality at $12.8 million per year.’” Beyond lost revenue, data quality issues can also result in wasted resources and a damaged reputation. Without it, organizations incur a significant opportunity cost.

Strategy 111

Strategy Management Key Performance Indicator ROI 111

CIO Business Intelligence

MAY 15, 2024

“If you have a data center that happens to have capacity, why pay someone else?” According to Synopsys’ open source security and risk analysis released in February, 96% of all commercial code bases contained open source components. It also focuses largely on risk and governance issues. It’s almost a way to mitigate risk.”

Modeling 135

Modeling Risk Software Enterprise 135

CIO Business Intelligence

MARCH 27, 2023

They’re spending a lot of time on things like data quality, data management, things that might be tactical, helping with operational aspects of IT. But that’s not helping move the value of the organization as a business forward.” The composer creates and sells the storyline of the value of data and analytics.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

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

AUGUST 13, 2024

Implement robust risk assessment and mitigation strategies encompassing automation initiatives. This includes regular security audits of automated systems and ensuring compliance with data protection regulations. Prioritize data quality to ensure accurate automation outcomes.

Data-driven 126

Data-driven Metrics Optimization Deep Learning 126

CIO Business Intelligence

MAY 27, 2024

Business leaders 10 years ago mostly focused on automation since the main objective of technology investment then was to drive down costs, decrease risk, and boost efficiency. These capabilities will need to be able to react to changing outcomes with predictable risk/reward scenarios. It’s a different world today.

IT 103

IT Strategy Risk Technology 103

CIO Business Intelligence

APRIL 19, 2023

Moving data into a cloud-based environment enables faster data sharing, improves workflows, and can ease workloads on mainframe systems and data centers. But moving critical infrastructure out of the data center is a process that is easier said than done. What are your compliance needs?

Digital Transformation 98

Digital Transformation Data Governance Unstructured Data Risk 98

CIO Business Intelligence

SEPTEMBER 20, 2023

The data can also help us enrich our commodity products. How are you populating your data lake? We’ve decided to take a practical approach, led by Kyle Benning, who runs our data function. To avoid that, we built our data platform business case by business case. It will mushroom from there.

Data Lake 133

Data Lake Data-driven Dashboards Risk 133

AWS Big Data

SEPTEMBER 12, 2024

You can extend the solution in directions such as the business intelligence (BI) domain with customer 360 use cases, and the risk and compliance domain with transaction monitoring and fraud detection use cases.

Management 78

Management Analytics Data Lake Interactive 78