Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI.

Metadata 84

Metadata Data Lake Dashboards Interactive 84

TDAN

AUGUST 20, 2019

The goal of data governance is to ensure the quality, availability, integrity, security, and usability within an organization. Many traditional approaches to data governance seem to struggle in practice; I suspect it is partly because of the cultural impedance mismatch, but also partly because […].

Data Governance 68

Data Governance Strategy Data Architecture IT 68

IBM Big Data Hub

JANUARY 5, 2023

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. What does a modern data architecture do for your business? Reduce data duplication and fragmentation.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

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

CIO Business Intelligence

OCTOBER 13, 2023

Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects. Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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

Data Virtualization

OCTOBER 3, 2024

Reading Time: 3 minutes As organizations continue to pursue increasingly time-sensitive use-cases including customer 360° views, supply-chain logistics, and healthcare monitoring, they need their supporting data infrastructures to be increasingly flexible, adaptable, and scalable.

Data Architecture 52

Data Architecture Data Integration Management Data Governance 52

BI-Survey

AUGUST 21, 2020

It is noteworthy that business users in particular consider the inability to provide required data and the lack of user acceptance as even more important than enhanced self-service. In particular executives (31 percent) and business intelligence/analytics teams (30 percent) agree that software licenses are too expensive in general.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

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 131

Management Data Architecture Data Lake Data Strategy 131

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 109

Data Governance Data-driven Strategy Data Architecture 109

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 85

Strategy Data Architecture Cost-Benefit Reporting 85

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 Data-driven 98

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 72

Data Governance Management Data-driven Analytics 72

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 15, 2024

The ability to leverage data to understand and plan for those behaviors is extremely important. How did you improve the organization’s data literacy? Once we set up a data architecture that provides data liquidity, where data can go everywhere, we had to teach people how to use it.

Cost-Benefit 98

Cost-Benefit Data Governance Data Architecture Reporting 98

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

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

Jen Stirrup

MARCH 29, 2023

SAP Datasphere helps eliminate hidden data debt within organizations, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact. Business Intelligence is often a search problem in disguise.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

Cloudera

AUGUST 21, 2024

This year, we’re excited to share that Cloudera’s Open Data Lakehouse 7.1.9 release was named a finalist under the category of Business Intelligence and Data Analytics.

Snapshot 66

Snapshot Unstructured Data Data Architecture Data Warehouse 66

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 Data-driven 111

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 Data Strategy 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 59

Metadata Management Business Intelligence Data Governance 59

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

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 Data-driven 98

CIO Business Intelligence

JULY 22, 2024

We were trying to skip over some of the data governance aspect with the idea that we would come back and go after that later,” he says. “We But you have to do this to continue to be successful in the emerging world of data analytics, AI, generative AI, and all the things that will follow.

Data Governance 119

Data Governance Unstructured Data Technology Manufacturing 119

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

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 132

Digital Transformation Data-driven Strategy Data Strategy 132

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 122

Data Lake Sales Data Warehouse Snapshot 122

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 Data-driven Modeling 59

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

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

AWS Big Data

JANUARY 22, 2024

The majority of data produced by these accounts is used downstream for business intelligence (BI) purposes and in Amazon Athena , by hundreds of business users every day. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 113

Data-driven Advertising Metadata Data Architecture 113

CIO Business Intelligence

FEBRUARY 28, 2024

And not only do companies have to get all the basics in place to build for analytics and MLOps, but they also need to build new data structures and pipelines specifically for gen AI. It quickly adds up in complexity,” says Sheldon Monteiro, EVP at Publicis Sapient, a global digital consultancy.

IT 131

IT Consulting Modeling Enterprise 131

Peter James Thomas

MAY 3, 2019

The flip side is that making the necessary investments to provide even basic information has been at the heart of the successful business turnarounds that I have been involved in. The bulk of Business Intelligence efforts would also fall into this area, but there is some overlap with the area I next describe as well.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

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 Analytics 52

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 97

Data Lake Data Governance Machine Learning Cost-Benefit 97

Peter James Thomas

AUGUST 2, 2019

Business Glossary (contributor: Tenny Thomas Soman ). Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Chart (Graph).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69