TDAN

JULY 2, 2019

The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections. The squares are completed with nouns and verbs that provide direction for meaningful discussions about how the program will be set up and operate.

Data Governance 74

Data Governance Data Quality Data Architecture Metadata 74

Cloudera

DECEMBER 1, 2023

Governments must ensure that the data used for training AI models is of high quality, accurately representing the diverse range of scenarios and demographics it seeks to address. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Data Governance 105

Data Governance Data-driven Strategy Data Architecture 105

CIO Business Intelligence

NOVEMBER 28, 2023

Still, to truly create lasting value with data, organizations must develop data management mastery. This means excelling in the under-the-radar disciplines of data architecture and data governance. Data Architecture, Data Governance, Data Management, Master Data Management

Management 130

Management Data Architecture Data Lake Data Strategy 130

CIO Business Intelligence

JUNE 19, 2023

Achieving this requires a comprehensive upgrade across five dimensions of data intelligence — data architecture, data governance, data consumption, data security, and data talent. Mr. Cao noted the specific problem of unstructured data. “A

Finance 98

Finance Unstructured Data Data Processing Data Architecture 98

David Menninger's Analyst Perspectives

JANUARY 15, 2021

Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.

IT 264

IT Data Architecture Big Data Data Processing 264

CIO Business Intelligence

JUNE 15, 2023

Achieving this requires a comprehensive upgrade across five dimensions of data intelligence — data architecture, data governance, data consumption, data security, and data talent. Mr. Cao noted the specific problem of unstructured data. “A

Unstructured Data 98

Unstructured Data Finance Data Processing Data Architecture 98

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

Octopai

APRIL 19, 2021

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. Strong metadata management enhances business intelligence which leads to more informed strategy and better performance.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

MAY 2, 2022

Ken Finnerty, vice president of information technology at overall winner UPS , will discuss how the shipping giant thinks about innovation and tools like artificial intelligence and data architecture with Chandana Gopal, IDC’s research director for Future of Intelligence.

Advertising 98

Advertising Data Governance Insurance Strategy 98

CIO Business Intelligence

MAY 1, 2023

Forward-looking organizations are leveraging the promise of productizing their data and investing in data governance as a key to that productization, whether for internal use or for opportunities to monetize/commercialize data products.

Consulting 54

Consulting Data Governance Digital Transformation ROI 54

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

CIO Business Intelligence

AUGUST 9, 2023

That newly generated data, from AI interactions, simulations, or creative outputs, must be properly stored, organized and curated for various purposes like model improvement, analysis, and compliance with data governance standards.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98

CIO Business Intelligence

JUNE 20, 2022

Jess Morley , policy lead at Bennett Institute, said on Twitter that the strategy showed a “rare willingness to move beyond aphorisms, and get into technical detail”, with the document not shying aware from complex questions around data architecture, and setting a ‘clearable achievable and readily available roadmap.’.

Data Strategy 105

Data Strategy Strategy Digital Transformation Data Architecture 105

AWS Big Data

APRIL 24, 2023

Building a data lake on Amazon Simple Storage Service (Amazon S3) provides numerous benefits for an organization. However, many use cases, like performing change data capture (CDC) from an upstream relational database to an Amazon S3-based data lake, require handling data at a record level.

Data Lake 78

Data Lake Data Governance Cost-Benefit Machine Learning 78

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. Moreover, many customers are looking for an architecture where they can combine the benefits of a data lake and a data warehouse in the same storage location.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

CIO Business Intelligence

APRIL 29, 2022

The strategy should put formalized processes in place to quantify the value of different types of information, leveraging the skills of a chief data officer (CDO), who should form and chair a data governance committee.

Digital Transformation 131

Digital Transformation Strategy Data-driven Data Strategy 131

CIO Business Intelligence

MARCH 6, 2024

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). The company is expanding its partnership with Collibra to integrate Collibra’s AI Governance platform with SAP data assets to facilitate data governance for non-SAP data assets in customer environments. “We

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

TDAN

MAY 2, 2023

The terms Data Mesh and Data Fabric have been used extensively as data management solutions in conversations these days, and sometimes interchangeably, to describe techniques for organizations to manage and add value to their data.

Management 94

Management Data Architecture Data Governance Business Intelligence 94

AWS Big Data

APRIL 28, 2023

The third post will show how end-users can consume data from their tool of choice, without compromising data governance. This will include how to configure Okta, AWS Lake Formation , and a business intelligence tool to enable SAML-based federated use of Athena for an enterprise BI activity.

Data Governance 65

Data Governance Management Data-driven Data Lake 65

TDAN

DECEMBER 19, 2023

Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. Since dark data represents missed opportunities for […]

Data Architecture 52

Data Architecture Data Governance Business Intelligence Management 52

TDAN

MAY 31, 2022

Synthetic Data is, according to Gartner and other industry oracles, “hot, hot, hot.” In fact, according to Gartner, “60 percent of the data used for the development of AI and analytics projects will be synthetically generated.”[1]

Data Processing 105

Data Processing Analytics Data Architecture Data Governance 105

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.

Consulting 78

Consulting B2B Cost-Benefit Sales 78

TDAN

OCTOBER 17, 2023

The worldwide shift toward cloud computing significantly changes how businesses approach data management and operation. Regardless of whether private, public, or hybrid cloud models are employed, the advantages of cloud computing are numerous, including heightened efficiency, reduced expenses, and increased flexibility.

Risk 52

Risk Management Modeling Data Architecture 52

TDAN

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Publishing 78

Publishing Data Quality Data Architecture IT 78

CIO Business Intelligence

SEPTEMBER 20, 2023

Over the years we’ve been working with business intelligence (BI) tools, and then incorporating other big data solutions outside of traditional BI, and, later, adopting advanced analytics. So in the data part, we’ve grown with technologies that weren’t convergent.

Modeling 98

Modeling Insurance IT Cost-Benefit 98

TDAN

MARCH 15, 2022

In her groundbreaking article, How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh, Zhamak Dehghani made the case for building data mesh as the next generation of enterprise data platform architecture.

Data Lake 69

Data Lake Enterprise Data Architecture Data Governance 69

TDAN

APRIL 4, 2023

Data in the Cloud For a variety of motivations, many organizations have decided to place data and processing on the cloud. One approach to using the cloud is to just throw a lot of data onto the cloud. The cloud vendors advocate this approach. But — for a variety of reasons — there is an […]

Data Architecture 52

Data Architecture Data Strategy Business Intelligence Data Governance 52

Sisense

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

TDAN

MAY 3, 2022

The road to creating business value through a well-oiled data management strategy can be long and challenging. A successful data management strategy is one that generates value rapidly and unlocks new data-driven insights.

Analytics 52

Analytics Data-driven Strategy Management 52

TDAN

NOVEMBER 15, 2022

Naturally, being intelligent and rational beings, we took the action necessary to prevent the oncoming catastrophe. Surely then, being intelligent and rational beings, we prepared for what was to come by stopping building […]. In 2006, the world learned an inconvenient truth.

Data Architecture 52

Data Architecture Risk Data Strategy Business Intelligence 52

TDAN

MAY 31, 2022

As we enter a new cloud-first era, advancements in technology have helped companies capture and capitalize on data as much as possible. Deciding between which cloud architecture to use has always been a debate between two options: data warehouses and data lakes.

Data Lake 52

Data Lake Data Warehouse Technology Data Architecture 52

BizAcuity

APRIL 14, 2022

There are a wide range of problems that are presented to organizations when working with big data. Challenges associated with Data Management and Optimizing Big Data. Unscalable data architecture. Scalable data architecture is not restricted to high storage space. Data Governance.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

TDAN

SEPTEMBER 15, 2020

Remember the Sears catalog? Hundreds of pages of clothes quickly flipped past to get to the toys! Who didn’t spend countless hours trying to find the perfect suggested gift for your next birthday or holiday? In an Amazon and eBay world, thinking about old-school catalogs seems so quaint. Opening a paper volume to manually flip […].

Data Architecture 69

Data Architecture Metadata Data Strategy Data Governance 69

TDAN

NOVEMBER 5, 2019

With the exponential growth of data from so many different sources, data silos (or in other words, separate unintegrated data stores) are more prevalent than ever. However, what is the root cause of data silos? The more that people view themselves as separated, the more that data is separated. People silos!

Data Architecture 72

Data Architecture Data Strategy Data Governance Business Intelligence 72