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 105

IT Strategy Risk Technology 105

CIO Business Intelligence

MAY 2, 2023

The risk of derailments increases as I hear inconsistent answers or too many conflicting priorities. But are product managers developing market- and customer-driven roadmaps and prioritized backlogs? But there are common pitfalls , such as selecting the wrong KPIs , monitoring too many metrics, or not addressing poor data quality.

Digital Transformation 141

Digital Transformation IT Data-driven Metrics 141

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

NOVEMBER 29, 2023

Business leaders and data scientists across various industries emphasize the need for new data synthesis to address data gaps, protect sensitive information and improve their speed to market. How accurately does synthetic data reflect my existing data? This is partially true for synthetic data.

Metrics 81

Metrics Machine Learning Statistics Risk 81

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

Smart Data Collective

DECEMBER 21, 2022

The Global BPO Business Analytics Market was worth nearly $17 billion last year. This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. One of the biggest issues pertains to data quality. Data cleansing and its purpose.

Business Analytics 109

Business Analytics Analytics Data Quality Big Data 109

FineReport

APRIL 9, 2024

Benefits of Utilizing BI Tools The utilization of data analysis tools such as business intelligence software offers numerous benefits for organizations seeking to gain a competitive edge in today’s dynamic market landscape. This resulted in increased profitability and strengthened competitive positioning within the industry.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. Sourcing teams are automating processes like data analysis as well as supplier relationship management and transaction management.

Strategy 96

Strategy Technology Cost-Benefit Risk Management 96

CIO Business Intelligence

APRIL 11, 2024

In a cloud market dominated by three vendors, once cloud-denier Oracle is making a push for enterprise share gains, announcing expanded offerings and customer wins across the globe, including Japan , Mexico , and the Middle East. However, in the last two years, OCI has begun to attract more new customers of its own.”

Enterprise 124

Enterprise IT Data Processing Strategy 124

erwin

APRIL 29, 2020

Data is crucial to every organization’s survival. For that reason, businesses must think about the flow of data across multiple systems that fuel organizational decision-making. For example, the marketing department uses demographics and customer behavior to forecast sales. Data Governance. Data Quality.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

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. Data Management Without it, organizations incur a significant opportunity cost.

Strategy 116

Strategy Management Key Performance Indicator ROI 116

Ontotext

JULY 6, 2023

Let’s consider an example about risk and opportunity event detection. Case studies The risk and opportunity event detection use case discussed above combines all of Ontotext’s capabilities: storing and managing large amounts of data adding meaning to it (e.g.,, The crypto world, for example, is looking for this type of service.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

CIO Business Intelligence

JUNE 30, 2023

All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. As these trends continue to evolve, building your data strategy around the principles of openness and governance assures trust in the data.

Internet of Things 104

Internet of Things Strategy Data Strategy Risk 104

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? Clean it, annotate it, catalog it, and bring it into the data family (connect the dots and see what happens). Conduct market research. Choose the right development partner.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Alation

AUGUST 17, 2022

We’ve seen the emergence of new, less invasive approaches, yet the question remains: What do CIOs think is most required to deliver a successful data governance program? The Risks of Early Data Governance Programs. The biggest risk was a lack of ownership. If your definitions are bad, so is your governance/risk/security.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

Ontotext

FEBRUARY 12, 2024

Domain teams should continually monitor for data errors with data validation checks and incorporate data lineage to track usage. Establish and enforce data governance by ensuring all data used is accurate, complete, and compliant with regulations. For instance, JPMorgan Chase & Co.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

datapine

MAY 31, 2022

In this article, we have gathered the 12 most prominent challenges of cloud computing that will deliver fresh perspectives related to the market. 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. Cost management and containment.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

CIO Business Intelligence

APRIL 4, 2024

This involves rigorous evaluation of potential benefits, risks, and costs associated with each AI initiative to ensure investments are prudent and aligned with our risk-return profile.” However, Diasio says you don’t always need to organize internal data to leverage AI. On-time delivery has improved substantially,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

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

Jet Global

AUGUST 28, 2023

We are eager to offer this additional support to insightsoftware customers, advancing our own capabilities that improve data quality and visibility, and enhance performance.” “This acquisition seamlessly connects insightsoftware’s expertise and product offerings with our extensive visualization library.

Dashboards 75

Dashboards Visualization Finance Data Quality 75

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 86

Strategy Data Architecture Cost-Benefit Reporting 86

Ontotext

SEPTEMBER 1, 2023

As a result, students, business professionals, developers, marketers, and others have begun exploring these “chatty robots” and discovered there is a lot to like, and some things to be concerned about. Additionally, data is the fulcrum of AI, and the data used to train LLMs must be properly governed and controlled.

Risk 52

Risk Modeling Data Quality Data Governance 52

IBM Big Data Hub

AUGUST 23, 2023

The recent success of artificial intelligence based large language models has pushed the market to think more ambitiously about how AI could transform many enterprise processes. However, consumers and regulators have also become increasingly concerned with the safety of both their data and the AI models themselves.

Data Governance 52

Data Governance Enterprise Modeling Risk 52

erwin

MAY 6, 2020

Organizations looking to the post-pandemic future for risk-adverse business models, new opportunities, and/or new approaches to changing markets: (virtually every organization that needs to survive and then thrive). Strong data management practices can have: Financial impact (revenue, cash flow, cost structures, etc.).

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. Use Case #4: Financial Risk Detection and Prediction The financial industry is made up of a network of markets and transactions. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

CIO Business Intelligence

MAY 24, 2023

If the data is correctly curated and formatted, it can be used by data analytics and, in particular, AI to make recommendations that help an organization make decisions ahead of the market. Poor data quality leads to poor decisions and recommendations.

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

Smart Data Collective

JANUARY 9, 2023

Accurately Informing Marketing Strategies. As any business owner or organizational leader understands, effective marketing is a key facet of any successful organization. Unfortunately, this is often easier said than done, and organizations often have to make assumptions and risk having an unsuccessful marketing campaign.

Machine Learning 125

Machine Learning Software Strategy Marketing 125

erwin

DECEMBER 3, 2020

Market expansion. One Customer’s Journey to Controlling Data Chaos. Ultra Mobile recently shared how it uses erwin Data Intelligence (erwin DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos. New products and services. Hyper-competition.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Smarten

DECEMBER 3, 2023

‘Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’ Augmented analytics can help the business to improve revenue and to discover product and service opportunities and gain insight into issues to resolve problems before they create risk.

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Organisations that reach the highest stage of data maturity achieve a market value increase of up to 500%, compared to lower maturity organisations.

Measurement 52

Measurement Modeling Data Quality Data Governance 52

CIO Business Intelligence

APRIL 29, 2022

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy. Consider organizations such as Facebook and Google.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

IBM Big Data Hub

MAY 9, 2023

We can use foundation models to quickly perform tasks with limited annotated data and minimal effort; in some cases, we need only to describe the task at hand to coax the model into solving it. But these powerful technologies also introduce new risks and challenges for enterprises.

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

CIO Business Intelligence

JUNE 7, 2022

While each firm’s situation and market challenges may be unique, a majority see AI as a vital tool they can’t afford to ignore. billion of global investments in AI by 2026, according to Markets and Markets. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

Smart Data Collective

AUGUST 21, 2019

Endor is a leading pioneer in data science. Instead of focusing on solely collecting data for their customers, Endor has continually helped users extract more value from datasets. Companies like Endor understand the risks and develop data science models that account for them. This can lead to a number of problems.

Data Science 67

Data Science Big Data Data Strategy Risk 67

CIO Business Intelligence

SEPTEMBER 8, 2022

In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years. The ability to pivot quickly to address rapidly changing customer or market demands is driving the need for real-time data.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 98

Analytics Insurance Big Data Uncertainty 98