CIO Business Intelligence

OCTOBER 24, 2024

Jayesh Chaurasia, analyst, and Sudha Maheshwari, VP and research director, wrote in a blog post that businesses were drawn to AI implementations via the allure of quick wins and immediate ROI, but that led many to overlook the need for a comprehensive, long-term business strategy and effective data management practices.

ROI 127

ROI Data-driven Enterprise Experimentation 127

CIO Business Intelligence

APRIL 8, 2025

Data quality is no longer a back-office concern. We also examine how centralized, hybrid and decentralized data architectures support scalable, trustworthy ecosystems. Why data quality matters and its impact on business AI and analytics are transforming how businesses operate, compete and grow.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

DataKitchen

NOVEMBER 5, 2024

The Race For Data Quality In A Medallion Architecture The Medallion architecture pattern is gaining traction among data teams. It is a layered approach to managing and transforming data. It sounds great, but how do you prove the data is correct at each layer? How do you ensure data quality in every layer

Data Quality 198

Data Quality Testing Metrics Reporting 198

AWS Big Data

SEPTEMBER 11, 2024

This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS. The new solution has helped Aruba integrate data from multiple sources, along with optimizing their cost, performance, and scalability.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

TDAN

JULY 19, 2022

Data is considered by some to be the world’s most valuable resource. Going far beyond the limitations of physical resources, data has wide applications for education, automation, and governance. It is perhaps no surprise then, that the value of all the world’s data is projected to reach $280 billion by 2025.

Data Integration 98

Data Integration Data Architecture IT Business Intelligence 98

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

IoT 111

IoT Machine Learning Metadata Data-driven 111

CIO Business Intelligence

JUNE 27, 2022

When studying a metric, it’s important to know who created it and the data source. It’s important to understand the research and data behind the metrics,” Hurwitz says. By now, most enterprises have reached data maturity. “If Not considering the source. Results may be based on a survey, for instance. Going it alone.

Metrics 133

Metrics KPI IT Consulting 133

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. You’ll get a single unified view of all your data for your data and AI workers, regardless of where the data sits, breaking down your data siloes.

Data Analytics 105

Data Analytics Analytics Data Lake Data Quality 105

Data Virtualization

SEPTEMBER 21, 2023

Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle.

Management 105

Management Data Architecture Data Integration Data-driven 105

CIO Business Intelligence

NOVEMBER 9, 2022

By Bryan Kirschner, Vice President, Strategy at DataStax One of the most painful – and pained – statements I’ve heard in the last two years was from an IT leader who said, “my team is struggling to find ways that our company’s data could be valuable to the business.” Leveraging real-time data used to be a technology problem.

IT 98

IT Uncertainty Sales Strategy 98

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. For data warehouses, it can be a wide column analytical table.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

DataKitchen

DECEMBER 20, 2020

Data-driven companies sense change through data analytics. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. – Leon C. Adapt or face decline.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. It’s a future state worth investing in.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions.

Data Lake 128

Data Lake Snapshot Metadata Data Architecture 128

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential.

Data Integration 52

Data Integration Data-driven Data Processing Management 52

Ontotext

JULY 9, 2020

Or, at least, that it is about to fade away, opening the way for technologies that not only connect data in meaningful ways but also speak the language of the system user and not the other way round? Knowledge graphs, the ones with semantically modeled data even more so , allow for such a granularity of detail. 115 ml double cream.

Data Architecture 128

Data Architecture Unstructured Data Enterprise Technology 128

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. And the good news is that it just keeps getting better.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Data Virtualization

DECEMBER 8, 2022

Reading Time: 3 minutes While cleaning up our archive recently, I found an old article published in 1976 about data dictionary/directory systems (DD/DS). Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. It was written by L.

Metadata 69

Metadata IT Publishing Data Integration 69

CIO Business Intelligence

MARCH 6, 2024

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. We are also seeing customers bringing in other data assets from other apps or data sources.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

BI-Survey

AUGUST 21, 2020

But what are the right measures to make the data warehouse and BI fit for the future? Can the basic nature of the data be proactively improved? The following insights came from a global BARC survey into the current status of data warehouse modernization. Many companies are therefore forced to put these concepts to the test.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Jen Stirrup

MARCH 29, 2023

They are also starting to realize – and accept – that data is challenging. Post-COVID, companies now understand that IT skills are different from data skills. It is easier to list the symptoms of a problematic data foundation as they are often pretty clear to business users. Why is this interesting?

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

AWS Big Data

JANUARY 30, 2025

AWS Glue A data integration service, AWS Glue consolidates major data integration capabilities into a single service. These include data discovery, modern ETL, cleansing, transforming, and centralized cataloging. We used it for executing long-running scripts, such as for ingesting data from an external API.

Data Warehouse 55

Data Warehouse Data Architecture Machine Learning Data Transformation 55

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

AWS Big Data

NOVEMBER 28, 2023

At Amazon Web Services (AWS) , our goal is to make it easier for our customers to connect to and use all of their data and to do it with the speed and agility they need. But integrating data isn’t easy. Zero-ETL is a set of integrations that eliminates the need to build ETL data pipelines.

Data Warehouse 126

Data Warehouse Data-driven Machine Learning B2B 126

CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

TDAN

AUGUST 18, 2020

Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. We are in the era of graphs. Graphs are hot. Graphs deliver it in spades. Over the last few years, a number of new graph databases came to market. As we start the next decade, dare we say […].

Data Integration 119

Data Integration Marketing Analytics Data Architecture 119

CIO Business Intelligence

APRIL 25, 2022

You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. The more the number of partnerships, the better it is for the solution provider,” Henschen said.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 79

Management Metadata Data Architecture Data Lake 79

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

datapine

AUGUST 20, 2019

The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data. Processing Big data optimally helps businesses to produce deeper insights and make smarter decisions through careful interpretation. Veracity: Veracity refers to the data accuracy, how trustworthy data is.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. How do they bring all of that data together?

Manufacturing 98

Manufacturing Data Architecture Data Strategy Strategy 98