CIO Business Intelligence

JUNE 9, 2023

It’s a time-tested truth: Getting a head start improves outcomes. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents.

Strategy 105

Strategy Management Key Performance Indicator ROI 105

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. Meanwhile, CIOs must still reduce technical debt, modernize applications, and get cloud costs under control.

Digital Transformation 138

Digital Transformation Unstructured Data Machine Learning Risk Management 138

IBM Big Data Hub

NOVEMBER 24, 2023

Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor or rebuild) to achieve the desired result. Subsequent phases are build and test and deploy to production.

Cost-Benefit 89

Cost-Benefit Testing Data-driven Enterprise 89

IBM Big Data Hub

JANUARY 25, 2024

A recent report shows a significant increase in the cost of manufacturing downtime from 2021 to 2022, with Fortune Global 500 companies now losing 11% of their yearly turnover which amounts to nearly USD 1.5 regulations, undergoing digital transformation and the need for cost-cutting. A 40% reduction in inventory costs.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

DataKitchen

FEBRUARY 21, 2023

How do you scale an organization without hiring an army of hard-to-find data engineering talent? Or, as one of our customers put it, “How do I increase the total amount of team insight generated without continually adding more staff (and cost)?” Staff turnover, stress, and unhappiness. And that code creates complexity.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

IBM Big Data Hub

NOVEMBER 29, 2023

They are already identifying and exploring several real-life use cases for synthetic data, such as: Generating synthetic tabular data to increase sample size and edge cases. You can combine this data with real datasets to improve AI model training and predictive accuracy. This is partially true for synthetic data.

Metrics 80

Metrics Machine Learning Statistics Risk 80

CIO Business Intelligence

JANUARY 9, 2024

IT leaders say they’re discussing everything from the costs of AI implementations to whether AI is the existential threat to humanity some fear. ChatGPT caused quite a stir after it launched in late 2022, with people clamoring to put the new tech to the test. Which business cases actually need AI? It’s an interesting dilemma CIOs have.

IT 118

IT Risk Cost-Benefit Enterprise 118

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

O'Reilly on Data

OCTOBER 22, 2020

It’s also a good indirect measure of training data quality: a team that does not know where their data originated is likely to not know other important details about the data as well. ML models directly involved in critical safety systems are generally easy to identify as areas of concern.

Consulting 303

Consulting Risk Cost-Benefit Modeling 303

Alation

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

O'Reilly on Data

JULY 28, 2020

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage.

Marketing 363

Marketing Experimentation Metrics Testing 363

CIO Business Intelligence

MAY 23, 2024

“Everything from simple translation services to more advanced solutions for creating product catalogues or risk analyses,” says Nilsson. Among other things, Microsoft Copilot is now being tested in a number of pilot groups, and has been rolled out to parts of management. It’s a difficult balancing act.

Digital Transformation 96

Digital Transformation Measurement Cost-Benefit Data Warehouse 96

datapine

APRIL 15, 2020

Your Chance: Want to test an agile business intelligence solution? No matter if you need to develop a comprehensive online data analysis process or reduce costs of operations, agile BI development will certainly be high on your list of options to get the most out of your projects. Finalize testing. Train end-users.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Anmut

APRIL 6, 2023

That’s where data maturity assessments come in – they help businesses understand their current data maturity, and equip them with the tools and resources necessary to climb the data maturity curve. What is a Data Maturity Assessment? What are the Benefits of Doing a Data Maturity Assessment?

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

CIO Business Intelligence

NOVEMBER 13, 2023

Because of this, IT leaders must take a proactive approach to change management , communicating the benefits of digital transformation and providing support and training to employees. Be realistic about the costs of digital transformation and allocate sufficient human capital and financial capital to achieve your goals.

Digital Transformation 135

Digital Transformation Cost-Benefit Experimentation Measurement 135

DataKitchen

MARCH 16, 2023

Under Efficiency, the Number of Data Product Owners metric measures the value of the business’s data products. Under Quality, the Data Quality Incidents metric measures the average data quality of datasets, while the Active Daily Users metric measures user activity across data platforms.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

datapine

JANUARY 24, 2021

By asking the right questions, utilizing sales analytics software that will enable you to mine, manipulate and manage voluminous sets of data, generating insights will become much easier. Before starting any business venture, you need to make the most crucial step: prepare your data for any type of serious analysis.

IT 317

IT Statistics KPI Data-driven 317

Cloudera

MARCH 22, 2023

Cloudera Data Platform (CDP) is no different: it’s a hybrid data platform that meets organizations’ needs to get to grips with complex data anywhere, turning it into actionable insight quickly and easily. Observability futures Observability will continue to evolve and has proven to deliver tremendous benefits.

Metrics 88

Metrics Data Governance Cost-Benefit Dashboards 88

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 105

Cost-Benefit Internet of Things Data-driven Data Lake 105

Ontotext

JUNE 29, 2023

This standardizes your data processing across different teams and departments, reducing manual effort and improving data quality. Building a KG requires collaboration between functional domain experts, data engineers, data modelers and key sponsors. We all know that’s not feasible.

Cost-Benefit 59

Cost-Benefit Data-driven Data Quality Enterprise 59

Alation

MARCH 22, 2022

As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT. So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY?

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Cloudera

AUGUST 31, 2021

Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis. Yet, these legacy solutions are showing their age and can no longer meet these new demands in a cost-effective manner. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

O'Reilly on Data

NOVEMBER 28, 2023

Unexpected outcomes, security, safety, fairness and bias, and privacy are the biggest risks for which adopters are testing. 54% of AI users expect AI’s biggest benefit will be greater productivity. The second most common reason was concern about legal issues, risk, and compliance (18% for nonusers, 20% for users).

Enterprise 281

Enterprise Modeling Testing Reporting 281

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. When do new data products get created, and who is allowed to create them?

Management 78

Management Risk Measurement Optimization 78

Domino Data Lab

JUNE 23, 2019

As a result, Skomoroch advocates getting “designers and data scientists, machine learning folks together and using real data and prototyping and testing” as quickly as possible. You’ll struggle to make the case in most organizations for the cost required for the research investment needed up front. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

Cloudera

MARCH 14, 2023

They are being asked to deliver not just theoretical data strategies, but to roll up their sleeves and solve for the very real problems of disparate, heterogenous, and rapidly expanding data sources that make it a challenge to meet increasing business demand for data — and do it all while managing costs and ensuring security and data governance.

Cost-Benefit 80

Cost-Benefit Data-driven Risk Data Governance 80

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage). Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Andrew White

JANUARY 11, 2021

With a success behind you, sell that experience as the kind of benefit you can help improve. But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

DECEMBER 4, 2023

Companies large and small are increasingly digitizing and managing vast troves of data. ERP systems like Oracle’s streamline business processes and reduce costs, leveraging information to help organizations make better decisions in rapidly changing landscapes. Will my organization choose an implementation partner?

Testing 72

Testing Consulting Digital Transformation Cost-Benefit 72

DataKitchen

AUGUST 8, 2023

On 20 July 2023, Gartner released the article “ Innovation Insight: Data Observability Enables Proactive Data Quality ” by Melody Chien. It alerts data and analytics leaders to issues with their data before they multiply. It alerts data and analytics leaders to issues with their data before they multiply.

Data Quality 130

Data Quality Testing Snapshot Reporting 130

CIO Business Intelligence

APRIL 6, 2022

They’re trying to leverage the benefits of the private, hybrid, or public cloud. Lower total cost of ownership, scalable unit economics, multi-region reliability, digital transformation, faster delivery of applications, and machine learning models—these are all business benefits of cloud-native adoption. .

Cost-Benefit 120

Cost-Benefit Digital Transformation Data-driven Strategy 120

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

MAY 17, 2021

Fundamentally, this is a term that describes the process through which businesses collect data from a variety of sources and apply it practically to generate real business value. Your Chance: Want to test a professional data discovery tool for free? Benefit from modern data discovery today! What Is Data Discovery?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Jet Global

SEPTEMBER 1, 2023

But we’re also seeing its use expand in other industries, like Financial Services applications for credit risk assessment or Human Resources applications to identify employee trends. Analysts can use predictive analytics to foresee if a change will help them reduce risks, improve operations, and/or increase revenue.

Predictive Analytics 52

Predictive Analytics Risk Analytics Software 52

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52