CIO Business Intelligence

JUNE 30, 2023

And we’ll let you in on a secret: this means nailing your data strategy. All of this renewed attention on data and AI, however, brings greater potential risks for those companies that have less advanced data strategies. But it all depends upon a solid, trusted data foundation.

Internet of Things 104

Internet of Things Strategy Data Strategy Data-driven 104

TDAN

MAY 17, 2022

One of the greatest contributions to the understanding of data quality and data quality management happened in the 1980s when Stuart Madnick and Rich Wang at MIT adapted the concept of Total Quality Management (TQM) from manufacturing to Information Systems reframing it as Total Data Quality Management (TDQM).

Data Quality 52

Data Quality Manufacturing Management IT 52

AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. It follows what is called a distributed system architecture.

Technology 105

Technology Data-driven Machine Learning Sales 105

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. “As The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Octopai

APRIL 19, 2021

Donna Burbank is a Data Management Consultant and acts as the Managing Director at Global Data Strategy, Ltd. Her Twitter page is filled with interesting articles, webinars, reports, and current news surrounding data management. TDWI – David Loshin. It is published by Robert S. Seiner and produced by Dataversity.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

CIO Business Intelligence

APRIL 4, 2024

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We Data is the lynchpin to AI success,” says Nafde. Diasio agrees. That gets the fear factor down,” she says.

Enterprise 134

Enterprise Cost-Benefit Forecasting Sales 134

IBM Big Data Hub

MAY 15, 2024

Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. With a multicloud data strategy, organizations need to optimize for data gravity and data locality.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

Smarten

APRIL 19, 2024

Assisted Predictive Modeling and Auto Insights to create predictive models using self-guiding UI wizard and auto-recommendations The Future of AI in Analytics The C=suite executive survey revealed that 93% felt that data strategy is critical to getting value from generative AI, but a full 57% had made no changes to their data.

Analytics 59

Analytics Predictive Modeling KPI Machine Learning 59

IBM Big Data Hub

DECEMBER 20, 2023

By giving machines the growing capacity to learn, reason and make decisions, AI is impacting nearly every industry, from manufacturing to hospitality, healthcare and academia. Without an AI strategy, organizations risk missing out on the benefits AI can offer. Establish a data governance framework to manage data effectively.

Strategy 71

Strategy Business Objectives Cost-Benefit Consulting 71

Ontotext

MARCH 8, 2023

Use Case #6: Data Quality and Governance The size and complexity of data sources and datasets is making traditional data dictionaries and Entity Relationship Diagrams (ERD) inadequate.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

CIO Business Intelligence

APRIL 9, 2025

Revisiting the foundation: Data trust and governance in enterprise analytics Despite broad adoption of analytics tools, the impact of these platforms remains tied to data quality and governance. Data and analytics leaders will need to evolve how they view the role of enterprise analytics in the Age of AI.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

AWS Big Data

NOVEMBER 13, 2024

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. Finally, we highlight the key business outcomes.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

AWS Big Data

OCTOBER 31, 2024

In this post, we discuss how Volkswagen Autoeuropa used Amazon DataZone to build a data marketplace based on data mesh architecture to accelerate their digital transformation. Data quality issues – Because the data was processed redundantly and shared multiple times, there was no guarantee of or control over the quality of the data.

Digital Transformation 111

Digital Transformation Metadata Data Quality Manufacturing 111

Anmut

APRIL 14, 2025

Example: A manufacturing firm with 1,000 machines might estimate that 20% are operating at suboptimal efficiency, costing an additional 500,000 annually in energy and maintenance costs. Missing context, ambiguity in business requirements, and a lack of accessibility makes tackling data issues complex.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52

CIO Business Intelligence

FEBRUARY 7, 2025

Jordan wants to facilitate a seamless work experience between, for instance, sales and marketing teams, or engineering and manufacturing teams. She notes that Honeywell is well-positioned to leverage gen AI because of the work its done on its data and data strategy.

Data Warehouse 80

Data Warehouse Data-driven Data Strategy Metrics 80