CIO Business Intelligence

NOVEMBER 7, 2023

As part of its efforts to eliminate data silos in the organization, Lexmark established a “data steering team.” Lexmark uses a data lakehouse architecture that it built on top of a Microsoft Azure environment. Data Engineering, Data Governance, Data Integration, Data Management, Data Quality

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Anmut

JANUARY 30, 2025

If quality is free, why isn't data? Originally applied to manufacturing, this principle holds profound relevance in today’s data-driven world. This means putting in place systems, processes and procedures to eliminate bad quality data from the start. In 1979, Philip B.

Data Quality 52

Data Quality Cost-Benefit Statistics Data-driven 52

CIO Business Intelligence

AUGUST 2, 2023

What are some examples of data solutions in each of those buckets? In the back office, a very exciting area for us is the manufacturing space. we’re putting sensors across our manufacturing processes, which give us vast sums of data our leaders use to rethink those processes. But with the advent of Industry 4.0,

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98

O'Reilly on Data

DECEMBER 19, 2018

We won’t be writing code to optimize scheduling in a manufacturing plant; we’ll be training ML algorithms to find optimum performance based on historical data. The model can’t exist without tools for data integration and ETL, data preparation, data cleaning, anomaly detection, data governance, and more.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

MARCH 22, 2022

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

Cloudera

MAY 28, 2024

Behind every business decision, there’s underlying data that informs business leaders’ actions. This form of architecture can handle data in all forms—structured, semi-structured, unstructured—blending capabilities from data warehouses and data lakes into data lakehouses.

Data Architecture 88

Data Architecture Data Lake Data Warehouse Cost-Benefit 88

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 106

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 106

erwin

DECEMBER 9, 2024

And if it isnt changing, its likely not being used within our organizations, so why would we use stagnant data to facilitate our use of AI? The key is understanding not IF, but HOW, our data fluctuates, and data observability can help us do just that.

Metadata 52

Metadata Data Quality Sales Modeling 52

Timo Elliott

MAY 17, 2023

For instance, Hanes has leveraged RISE with SAP to enable enterprise data management and advanced analytics. They have built a system using SAP Master Data Governance (MDG) and Information Steward, ensuring data integrity across the organization.

Manufacturing 105

Manufacturing Recreation/Entertainment Technology Strategy 105

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. But the implementation of AI is only one piece of the puzzle.

Cost-Benefit 76

Cost-Benefit Metadata Data Governance Modeling 76

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Store operating platform : Scalable and secure foundation supports AI at the edge and data integration. trillion in value.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Cloudera

MAY 9, 2019

Data readiness – These set of metrics help you measure if your organization is geared up to handle the sheer volume, variety and velocity of IoT data. It is meant for you to assess if you have thought through processes such as continuous data ingestion, enterprise data integration and data governance.

IoT 56

IoT Modeling Metrics Measurement 56

FineReport

APRIL 3, 2024

Integration capabilities are key for providing a holistic view and streamlining workflows. Security and Compliance: Data security is paramount. Choose a tool with robust security features to protect data integrity and comply with relevant regulations. Diverse visualization options enable effective communication.

Dashboards 52

Dashboards Visualization Metrics Interactive 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

B2B 87

B2B Consulting Sales Cost-Benefit 87

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

OCTOBER 29, 2024

The attack impacted its manufacturing systems, order processing, and inventory management, which resulted in product shortages and significant financial losses, estimated at $365 million in lost sales. Combating these threats and protecting enterprise value, means businesses must prioritize safeguarding their data.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

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

IBM Big Data Hub

AUGUST 7, 2023

For instance, in response to sustainability trends, product manufacturers may need to prove the carbon footprint of their products to regulators and clients. Thus, ensuring transparency and integrity in calculating the carbon consumption of all components across the entire supply chain becomes imperative.

Data Governance 62

Data Governance Manufacturing Interactive IoT 62

CIO Business Intelligence

MAY 24, 2022

However, this concept has evolved in line with the increasing demands of mature and sophisticated data-driven organisations, and with the increased use and sophistication of cloud computing services. store and process the data, typically in a data warehouse, where the data is modelled and schema applied. Oil and Gas.

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

CIO Business Intelligence

FEBRUARY 13, 2025

From manufacturing to healthcare and finance to defense, AI enhances efficiency, decision-making and operational agility, providing organizations a competitive edge in an increasingly data-driven world. Adversarial attacks, data poisoning and generative AI risks exploit data governance and security gaps.

Risk 116

Risk Data-driven Finance Risk Management 116

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

CIO Business Intelligence

FEBRUARY 18, 2025

If we revisit our durable goods industry example and consider prioritizing data quality through aggregation in a multi-tier architecture and cloud data platform first, we can achieve the prerequisite needed to build data quality and data trust first.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90