CIO Business Intelligence

MARCH 31, 2022

Chief data officer job description. The CDO oversees a range of data-related functions that may include data management, ensuring data quality, and creating data strategy. They may also be responsible for data analytics and business intelligence — the process of drawing valuable insights from data.

Consulting 134

Consulting Data Strategy Data Governance Strategy 134

CIO Business Intelligence

AUGUST 2, 2023

Ryan Snyder: For a long time, companies would just hire data scientists and point them at their data and expect amazing insights. That strategy is doomed to fail. The best way to start a data strategy is to establish some real value drivers that the business can get behind. But with the advent of Industry 4.0,

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

CIO Business Intelligence

NOVEMBER 16, 2022

As a household name in household goods, with annual sales of $22 billion, Whirlpool has 54 manufacturing and tech research centers worldwide, and bursts with a portfolio that includes several familiar brands including KitchenAid, Maytag, Amana, Yummly, among others. On the enterprise data strategy: I am a self-admitted data geek.

IT 133

IT Modeling Digital Transformation Data Governance 133

TDAN

AUGUST 15, 2023

From finance to manufacturing to pharmaceuticals to retail, every industry is jumping on the AI/ML bandwagon. Artificial Intelligence (AI), Machine Learning (ML) and Large Language Models (LLM) have turned the world on its head. And for good reason. AI/ML has the ability to improve efficiency, drive automation, and shorten delivery cycles.

Data Governance 52

Data Governance Machine Learning Manufacturing Finance 52

TDAN

NOVEMBER 2, 2021

As proponents of Lean Thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling. We treat data as inventory, data management as manufacturing, and business output as finished goods. Anything […].

Data Governance 52

Data Governance Operational Reporting Manufacturing Risk 52

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

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. The offensive side?

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

AWS Big Data

APRIL 19, 2023

To learn more about Amazon DataZone and how you can share, search, and discover data at scale across organizational boundaries. Joel Farvault is Principal Specialist SA Analytics for AWS with 25 years’ experience working on enterprise architecture, data strategy, and analytics, mainly in the financial services industry.

Technology 105

Technology Data-driven Machine Learning Sales 105

TDAN

JANUARY 31, 2023

Data inventory optimization is about efficiently solving the right problem. In this column, we will return to the idea of lean manufacturing and explore the critical area of inventory management on the factory floor.

Optimization 87

Optimization Manufacturing Management Metadata 87

erwin

DECEMBER 9, 2024

But how can delivering an intelligent data foundation specifically increase your successful outcomes of AI models? And do you have the transparency and data observability built into your data strategy to adequately support the AI teams building them?

Metadata 52

Metadata Data Quality Sales Modeling 52

Octopai

APRIL 19, 2021

BI teams will have a better handle on their data’s history, its current status, and any changes it may have undergone. Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Dataconomy.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

Andrew White

OCTOBER 20, 2022

D&A Governance/MDM/Getting re-started 22. Data & Analytics Strategy 9. Application Data Mgt/ERP Data Governance 7. D&A Governance specific to analytics pipeline 7. Analytics/BI/Data Science 6. Becoming Data Driven/Data Literacy 5. AI and ML Strategy and Leverage 2.

IT 52

IT Insurance Manufacturing Data Science 52

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 121

Data Lake Sales Data Warehouse Snapshot 121

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

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

Andrew White

OCTOBER 20, 2022

Data & Analytics Strategy 12. D&A Governance specific to analytics pipeline 9. Application Data Mgt/ERP Data Governance 7. Analytics/BI/Data Science 6. Becoming Data Driven/Data Literacy 5. AI and ML Strategy and Leverage 2. AI and ML Strategy and Leverage 2.

IT 52

IT Strategy Insurance Data-driven 52

Hurwitz & Associates

JUNE 28, 2018

This approach “opens up” analytics for use by the entire business – breaking down data silos that have grown up inside enterprise data centers. CDOs are responsible for ensuring that data is accurate, governed and managed, and they are increasingly tasked with leading the analytics efforts across their organization.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

Alation

DECEMBER 22, 2022

My source reported that there were some heated exchanges when the sleigh routing team started requesting data lineage for the naughty and nice lists and the wood toy assembly line started pulling in real-time local weather data to monitor wood supplies. We’re here to spread joy – not data! ” Santa’s Data Mesh Journey.

Dashboards 52

Dashboards Manufacturing Data Architecture Reporting 52

Alation

FEBRUARY 20, 2020

In the back office and manufacturing, organizations invested in enterprise resource planning (ERP) software. Munich Re’s chief data officer is leveraging Alation in a highly regulated market to find better opportunities for customers in an industry where knowledge sharing directly leads to customer value. “At

Data-driven 52

Data-driven Internet of Things Data Lake Strategy 52

Anmut

MARCH 24, 2022

Visionary companies like Google and Amazon are renowned for figuring out the transformational power of data, using data-driven business models to achieve extraordinary success. The use cases and customer outcomes your data supports and the quantifiable value your data creates for the business.

ROI 52

ROI Measurement Data-driven Data Transformation 52

Ontotext

MARCH 8, 2023

Knowledge Graphs provide structure for all types of data – either serving as a semantic layer or as a domain mapping solution – and enable the creation of multilateral relations across data sources, explicitly capturing how the data is being used, and what changes are being made to data.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

CIO Business Intelligence

APRIL 9, 2025

Absent governance and trust, the risks are higher as organizations adopt increasingly sophisticated analytics. Without rock-solid data foundations, even the most advanced ML models merely provide artful analysis. Getting the right data governance significantly affects operational efficiency and risk as well.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

CIO Business Intelligence

MAY 24, 2022

To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. Without a clear data strategy that’s aligned to their business requirements, being truly data-driven will be a challenge.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

CIO Business Intelligence

DECEMBER 23, 2024

How do data strategies work and do companies even need them? A key factor in achieving this goal is the effective use of data: it allows companies to identify efficiency reserves in processes and to better understand customers to adapt products and services or even develop new offerings.

Data Strategy 113

Data Strategy Strategy Visualization Manufacturing 113

AWS Big Data

OCTOBER 31, 2024

The data mesh, built on Amazon DataZone , simplified data access, improved data quality, and established governance at scale to power analytics, reporting, AI, and machine learning (ML) use cases. After the right data for the use case was found, the IT team provided access to the data through manual configuration.

Digital Transformation 110

Digital Transformation Metadata Data Quality Manufacturing 110

AWS Big Data

NOVEMBER 13, 2024

This post dives into the technical details, highlighting the robust data governance framework that enables ease of access to quality data using Amazon DataZone. The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

CIO Business Intelligence

APRIL 15, 2025

In the digital world, data integrity faces similar threats, from unauthorized access to manipulation and corruption, requiring strict governance and validation mechanisms to ensure reliability and trust. Moreover, the very nature of supply and demand forced manufacturers to rethink how they produced and delivered goods.

Strategy 109

Strategy Data-driven Manufacturing Risk 109

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. Investment Prioritisation : Align data quality initiatives with business objectives to ensure resources are allocated effectively.

Uncertainty 52

Uncertainty Data Quality Business Objectives Measurement 52